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Energy & Economics
Middle East Conflict. Conceptual photo

How might a wider Middle East conflict affect the global economy?

by Ahmet Kaya

한국어로 읽기 Leer en español In Deutsch lesen Gap اقرأ بالعربية Lire en français Читать на русском The world economy is underperforming as a result of tight monetary policies, weaker global trade, a slowing Chinese economy and uncertainty around the US election. An escalation of conflict in the Middle East could increase uncertainties, harming inflation reduction efforts and hurting growth. It has been over a year since the Hamas-led attack on Israel. Israel’s response in Gaza has resulted in widespread destruction and significant loss of life. The conflict has since expanded beyond Gaza, involving the Houthis in Yemen, Hezbollah in Lebanon and Iranian strikes targeting Israel. In addition to the awful humanitarian cost of the conflicts, the war and the possibility of its further expansion pose significant repercussions for the global economy. This article discusses three potential ways in which the current conflict and a wider conflict in the Middle East could affect the global economy. Increased geopolitical uncertainties First and foremost, an escalation of the Middle East conflict could lead to greater geopolitical uncertainties. Figure 1 shows the evolution of the geopolitical risk (GPR) and geopolitical acts (GPRA) indices (Caldara and Iacoviello, 2022) – these are text-based measures of heightened uncertainties due to adverse geopolitical events such as wars, terrorism and international tensions. (See this article for more discussion about these measures.) Following the Hamas-led attack on 7 October 2023, both the overall GPR index and its ‘war and terror acts’ component spiked strongly, to a level higher than that seen during the ISIS attack in Paris in November 2015. Both indices eased significantly in the months following October 2023 despite the continuation of the conflict. But they jumped again following Israel’s attack on southern Lebanon in September 2024. As of mid-October 2024, the GPR and GPRA remain, respectively, 21% and 35% higher than their historical averages.   What might be the consequences of such elevated levels of risk? Research tells us that higher geopolitical risk raises oil prices (Mignon and Saadaoui, 2024). It also reduces global investment and increases inflation (Caldara et al, 2022). Greater geopolitical risk has a significantly negative impact on business and consumer confidence in several advanced economies (de Wet, 2023). This is because consumers typically cut non-essential spending and businesses postpone investment decisions during turbulent times. This reduces firm-level investment, particularly for businesses with higher initial investment costs and greater market power (Wang et al, 2023). Higher geopolitical risks also reduce global trade and financial flows, causing greater volatility in capital flows in emerging markets (Kaya and Erden, 2023). Oil production cuts and higher energy prices The second way in which the Middle East conflict could affect the global economy is its impact on energy prices, both directly through production cuts and indirectly through greater uncertainties. In response to Israel’s actions against its neighbours, the Organization of the Petroleum Exporting Countries (OPEC) could reduce oil production to penalise countries supporting Israel. A similar action in the 1970s led to a significant jump in oil prices, which contributed to years of stagflation, with higher global inflation and recessions in major economies. Before Israel's attack on Lebanon at the end of September, oil prices had been declining due to falling demand, particularly from China. On the supply side, oil production had increased in Canada and the United States, countering the production cuts by OPEC, and Saudi Arabia was expected to increase oil production from December. But the situation quickly reversed following Israel’s attack on Lebanon. Oil prices jumped by nearly $10 per barrel within a week, before easing by around $5 per barrel. While the immediate oil price impact of Israel’s attack has mostly faded, the potential for higher oil (and other energy) prices still poses a risk to global inflation and economic activity (Liadze et al, 2022). To provide further context for the potential scale of this impact, we can show what would happen if oil and gas prices were to remain $10 higher for two years than the baseline levels projected in the Summer Global Economic Outlook from the National Institute of Economic and Social Research (NIESR), using NIESR’s Global Macroeconometric Model (NiGEM). The results demonstrate that the $10 rise in oil and gas prices increases inflation by around 0.7 percentage points in major economies in the first year (see Figure 2). The impact is higher in China, where the economy relies relatively more on oil imports for its strong manufacturing industries. The inflationary pressures persist for two years despite central banks’ efforts to curb inflation by increasing interest rates.   The effect of higher oil and gas prices on real GDP is shown in Figure 3. In the scenario described above, GDP would fall by 0.1-0.2% in major economies immediately. Partly due to higher interest rates, real GDP would continue to weaken for three years following the shock. After this, economic activity would start to return to base levels as oil and gas prices revert to their levels in the baseline forecast.   Increased shipping costs and supply chain disruptions A wider conflict in the Middle East could also affect the economy through higher shipping costs and supply chain disruptions. Houthi attacks on commercial ships in the Red Sea in late 2023 showed that such disruptions can have a huge impact on global trade through shipping, which comprises 80% of world trade volume. Following the rocket attacks by the Houthi rebels, some commercial shipping re-routed from the Red Sea to the Cape of Good Hope, leading to significant delays in travel times and increased freight costs. As a result, the Shanghai Containerized Freight Index – a measure of sea freight rates – rose by around 260% in the second quarter of 2024 with additional disruptions to supply chains. Our analysis shows that an increase of 10 percentage points in shipping cost inflation can lead to import prices rising by up to around 1% and consumer inflation increasing by around 0.5% in OECD countries. As Figure 4 shows, the impact of shipping costs on inflation shows its full effects over six quarters. This means that inflationary concerns could be with us for the next year and a half as a result of higher shipping costs that may emerge from any possible escalation of the Middle East conflict.   Wider economic implications and policy responses While rising geopolitical risk and increased oil and shipping costs can each individually exert upward pressure on inflation and may slow down economic activity in the global economy, the combined impacts are likely to be greater. Countries with stronger trade and financial ties to the Middle East and those that rely heavily on oil imports as an input for domestic production would be most affected. On the monetary policy front, central banks may have to take a more hawkish stance in response to rising inflationary pressures from the Middle East conflict. This could lead to higher interest rates, which would further dampen economic activity, particularly in an environment where there are already recessionary concerns in some major economies. Beyond its immediate economic implications, an escalation of the Middle East conflict could trigger large-scale displacement of people, which would increase economic and social pressures on neighbouring countries. Many countries may also have to increase their military spending in response to growing regional tensions. Given that public debt levels are already elevated in many countries due to successive shocks to the global economy over the past decade, any additional defence spending could come at the expense of public infrastructure investments that would otherwise boost productivity growth. Overall, the global economy is already underperforming as a result of the lagged effects of tight monetary policies, weaker global trade, a slowing Chinese economy and uncertainties surrounding the upcoming US election and possible changes to US trade policy. A potential escalation of conflict in the Middle East could exacerbate the situation by increasing uncertainties, harming efforts to bring down inflation and reducing global GDP growth. Over the medium and long term, it could further damage the global economy, with the possibility of refugee crises as well as increased defence spending, making the effects more complex and longer lasting. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Energy & Economics
 March 28, 2018, the US and Chinese flags and texts at a studio in Seoul, Korea. An illustrative editorial. trade war

International trade war - Spice Road against Silk Road

by Joon Seok Oh

한국어로 읽기 Leer en español In Deutsch lesen Gap اقرأ بالعربية Lire en français Читать на русском AbstractPurpose The purpose of this paper is to analyse the international political economy of Korea and its effects due to geopolitical tension between China and the USA. Design/methodology/approach Economic war between China and the USA has prolonged longer than expected. Aftermath of the COVID-19 pandemic, reforming the supply chain has been the centre of economic tension between China and the USA. Quite recently, with the rapid expansion of Chinese e-commerce platforms, distribution channels come upon a new economic tension between the two. And now is the time to pivot its pattern of conflict from competition into cooperation. In this end, economic diplomacy could be a useful means to give a signal of cooperation. From the view of economic diplomacy, this paper tries to analyse the projected transition of economic war between China and the USA with its implication on the trade policy of Korea. Findings As an implementation of economic diplomacy, China suggested the Belt and Road Initiative (BRI), enhancing trade logistics among related countries to gain competitiveness. In 2023, the Biden administration suggested the India-Middle East and Europe Economic Corridor as a counter to BRI, which will be a threshold for changing trade policy from economic war into economic diplomacy. As a result, it is expected China and the USA will expand their economic diplomacy in a way to promote economic cooperation among allied states, while the distribution channel war would continue to accelerate the economic tension between China and the USA. Korea has to prepare for and provide measures handling this geopolitical location in its trade policy or economic diplomacy. Originality/value This research contributes to the awareness and understanding of trade environments from the perspective of economic diplomacy. 1. Introduction The advent of globalisation has led to widespread economic integration, creating global production networks and markets. However, the COVID-19 pandemic has acted as a significant setback to this trend. In the wake of COVID-19, an economic war has arisen between China and the USA, centred on the restructuring of global supply chains following widespread disruptions. International political economy (IPE) examines the power dynamics between states and the structures of influence within regional economies. Consequently, economic diplomacy has gained unprecedented attention. Economic diplomacy focuses on government actions regarding international economic issues, distinct from political diplomacy through its market-oriented approach in foreign policy. Putnam (1988) categorises economic diplomacy into two levels: unilateralism and bilateralism. Unilateral economic diplomacy (or unilateralism) often relies on hard power, involving decisions on trade liberalisation or market protection without negotiation. Bilateral economic diplomacy (or bilateralism) or multilateral economic diplomacy (or multilateralism), by contrast, involves negotiation among trade partners, resulting in agreements such as regional or global free trade agreements (FTAs). A vast range of state or non-state actors engage in economic diplomacy, navigating the complex interplay between international and domestic factors. Defining economic diplomacy is extremely challenging, but one useful definition is “the broad concept of economic statecraft, where economic measures are taken in the pursuit of political goals, including punitive actions such as sanctions” (Blanchard and Ripsman, 2008).  Figure 1 Recent trend of economic diplomacy To exert influence internationally, ministers and heads of government strive to demonstrate their capacity for national security through two primary approaches, as shown in Figure 1 (above): economic war (or competition) and economic diplomacy (or international cooperation). In the context of global supply chain restructuring, the economic conflict between China and the USA has intensified, marked by threats of supply chain disruptions. This has led to emerging strategies aimed at “crowding out” the USA from global supply chains (去美戰略) or excluding China through alliances such as the Allied Supply Chain and Chip 4. While economic war is inherently “temporary” due to its painstaking nature, economic diplomacy or international cooperation offer a more “long-term” approach because it is gains-taking. This paper analyses the factors contributing to the prolonged nature of this economic war and explores potential outcomes of the supply chain tensions between China and the USA from the perspectives of IPE or geo-economics. In conclusion, it highlights the importance of preparing for trade policy adjustments and strategic economic diplomacy. 2. International trade war and strategic items2.1 Supply chain The supply chain encompasses a network of interconnected suppliers involved in each stage of production, from raw materials and components to the finished goods or services. This network can include vendors, warehouses, retailers, freight stations and distribution centres. Effective supply chain management is a “crucial process because an optimised supply chain results in lower costs and a more efficient production cycle” [1]. Within the supply chain, a leading company typically holds governance power, enabling it to coordinate scheduling and exercise control across the interconnected suppliers, resulting in reduced costs and shorter production times (Gereffi et al., 2005) [2]. Since the 2000s, forward and backward integration have been key strategies for managing time, cost and uncertainty in supply chains. For example, Toyota’s Just-In-Time (JIT) system demonstrated the efficiency of locally concentrated supply chains until disruptions from the 2011 East Japan Earthquake and the Thailand flood. Following supply chain shutdowns in 2020, many businesses shifted from local to global supply chains, utilising advancements of the information technology (IT) and transportation technologies to geographically diversify operations. As the need for a systematically functioning global supply chain has grown, a leading nation, much like a leading company, often assumes governance power in international trade and investment, as illustrated in Figure 2 (below), by aligning with the leadership of a dominant market competitiveness, which makes this leadership valuable.  Figure 2 Supply chain The COVID-19 pandemic dealt a severe blow to the global supply chain, causing sudden lockdowns that led to widespread supply chain disruptions. To mitigate the risks of future global disruptions, supply chains have begun restructuring to operate on a more regionally segmented basis. In this shift toward regional supply chains, China and the USA are at the centre, drawing allied countries within their spheres of influence. This alignment helps explain why the economic war between China and the USA has lasted longer than anticipated. 2.2 Strategic items China has restricted exports of two rare metals, gallium and germanium, which are critical to semiconductor production. Kraljic (1983) highlighted the importance of managing “strategic items” within the framework of supply chain management, as shown in Figure 3. Kraljic emphasises the need to strengthen and diversify critical items. The Kraljic matrix provides a valuable tool for identifying essential items that require focused management within the supply chain.  Figure 3 Kraljic matrix Kraljic identified the importance of managing “bottleneck items” in strategic supply chain management – items that present high supply risk but have relatively low business value. Due to the potential costs associated with non-delivery or compromised quality of strategic items, these must be closely monitored and controlled. From a risk management perspective, establishing medium-term business relationships and collaboration with suppliers is essential. For example, South Korea imports over 90% of its urea for agricultural and industrial purposes from China [3]. Heavily dependent on China for urea supplies due to pricing factors, Korea faced challenges when China imposed export controls on urea, underscoring Korea’s vulnerability within China’s sphere of influence. The European Union (EU) also faces challenges with critical raw materials (CRMs). China remains the EU’s sole supplier of processed rare earth elements, while Chile supplies 79% of its lithium. In response, the EU introduced the CRM Act (CRMA) to support projects aimed at increasing “the EU’s capacity to extract, process, and recycle strategic raw materials and diversify supplies from the third countries” [4]. 2.3 Resilient supply chain alliance In contrast to China’s approach of leveraging supply disruptions to strengthen its influence, the Biden administration in the USA has adopted a cooperative approach focused on building resilient supply chains (Pillar 2) through the Indo-Pacific Economic Framework (IPEF), which includes 14 member countries [5]. The need for resilient supply chains has been further underscored by the Russia–Ukraine crisis. The IPEF aims to address supply chain vulnerabilities by fostering global efforts to reduce risks associated with concentrated, fragile supply chains [6].  Figure 4 Resilient supply chain alliance In Figure 4, the EU Commission presented the Single Market Emergency Instrument (SMEI) in September 2022, a crisis governance framework designed to ensure the availability of essential goods and services during future emergencies. The SMEI operates on three levels: contingency planning, vigilance and emergency. The contingency planning phase focuses on collaboration among member states to mitigate supply chain disruption and monitor incidents. The vigilance phase can be activated when a significant disruption is anticipated, enabling specific measures such as mapping and monitoring supply chains and production capacities. Finally, the emergency phase is activated in cases of severe disruption to the functioning of the single market [7]. Establishing a resilient supply chain through international cooperation may be appealing, yet the reality often falls short of the ambition. In South Korea, the IPEF took effect on 17 April 2024, after an extended negotiation process, marking the first multilateral agreement on supply chains. As a result, during non-crisis periods, the 14 member countries will collaborate to strengthen international trade, investment and trade logistics. In times of crisis, member countries will activate a “crisis response network”. Conversely, opportunities for negotiation with China, South Korea’s largest trading partner, are essential for building supply chain resilience [8]. China has pursued an industrial policy focused on enhancing its supply chain management capabilities. In the semiconductor sector, the decoupling between China and the USA has become increasingly evident. Contrary to expectations, China has adopted a policy of internalising its supply chains, returning to the integration strategies of the 2000s rather than furthering globalisation. A promising opportunity for transformation between the two countries has emerged recently. Since 2015, China and South Korea have maintained bilateral FTA, and with the second phase of FTA negotiations currently underway, there is an opportunity to strengthen trade and investment ties, fostering positive progress through international cooperation. 2.4 China manufacturing exodus During the COVID-19 pandemic, China imposed sudden lockdowns without prior notice or preparation, halting production and logistics cycles. This “zero COVID” policy may have triggered a shift towards “de-risking” China from supply chain disruptions. Although China still offers significant advantages as “the factory of the world,” with vast market potential, prolonged trade tensions with the USA, intensified during the Trump administration, have prompted global manufacturers with substantial USA market bases to relocate operations amid rising geopolitical uncertainties. For example, Nike and Adidas have shifted much of their footwear manufacturing to Vietnam, Apple has begun iPhone production at a Foxconn in Chennai, India, and AstraZeneca has contracted production with India’s Serum Institute. In the pre-globalised era, defining the Rule of Origin (ROO) was straightforward, as a product’s components were usually manufactured and assembled within a single country. However, with the complexity of global supply chains, particularly since 2012, determining ROO has become a time-consuming and subjective process. ROO are classified as either non-preferential or preferential. The USA applies non-preferential ROO to restrict imports from countries like Cuba, Iran and North Korea, while offering trade preference programmes for others. Preferential ROO are used to determine duty-free eligibility for imports from approved countries [9], whereas non-preferential ROO play a crucial role in “country of origin labelling, government procurement, enforcement of trade remedy actions, compilation of trade statistics, supply chain security issues.” [10] China manufacturing exodus may negatively impact capital inflows into Hong Kong, traditionally seen as the Gateway to China. In 2023, Hong Kong’s initial public offering volume fell to a 20-year low of $5.9bn [11]. While China-oriented business remains in Hong Kong, which returns fully to Chinese control in 2047, non-China-oriented businesses have migrated to Singapore. As the certainty of contract and ownership rights forms the foundation of capitalism, this capital flight from Hong Kong is likely to persist. 3. Trade logistics and economic corridors Globalisation has allowed supply chains to leverage interdependence and interconnectedness, maximising efficiency. However, while these efficiencies have been beneficial, they have also created a fertile ground for friction between trade partners due to a “survival of the fittest” mindset and the principle of “winner takes all.” This interdependence has also highlighted vulnerabilities; the global supply chain struggled to manage the disruptions caused by COVID-19, prompting a shift towards regional integration initiatives, such as Association of Southeast Asian Nations, Regional Comprehensive Economic Partnership, United States–Mexico–Canada Agreement and Comprehensive and Progressive Agreement for Trans-Pacific Partnership. As the global economy seeks stability, collaboration over competition has become increasingly essential, with economic diplomacy emerging as a priority. The prolonged economic war between China and the USA arguably needs to shift towards economic diplomacy. The global supply chain is restructuring into regional supply chains, building resilience by operating in regional segments that can withstand crises. Michael Porter introduced the concept of value chain as “a set of activities that a firm performs to deliver a valuable product or service to the market.” [12] Complex finished goods often depend on global value chains, traversing multiple countries. As shown in Figure 5, the value chain consists of supply chain and trade channel components. While the focus has traditionally been on which country holds lead status within a regional supply chain, the emphasis is now shifting to how these regional segments can be interconnected and relayed. In this context, the supply chain competition may evolve into a “channel war” in international trade, where trade logistics will centre on the internal flow of goods, standardising channel processes and establishing authority over these channels.  Figure 5 Supply chain v. trade channel 3.1 Trade logistics It is natural for governments to seek environments that enhance competitiveness within in their countries. In terms of trade, effective trade logistics are essential for maintaining competitive advantage. As a prerequisite, a strong IT management infrastructure is indispensable. As shown in Figure 6, trade logistics encompass the internal flow of goods to market, integrating physical infrastructure with operating software – such as transport hubs, warehouses, highways, ports, terminals, trains and shipping vessels. Key areas of conflict in trade logistics involve the standardisation of channel processes and determining who holds governance over operation of these logistics systems. This is equally relevant within the digital economy. Recently, Chinese e-commerce – often referred to as C-commerce – has aggressively sought to gain control over digital distribution channels, interconnected delivery networks and trade logistics via digital platforms. Chinese platforms such as Taobao, Temu and AliExpress are actively working to increase their monthly active users (MAUs), positing themselves as counterweights to USA-based platforms such as Amazon and eBay in digital trade [13].  Figure 6 Trade logistics When the agenda of establishing international trade logistics is introduced to relevant trade members across various countries, initial progress and effective responses are often achieved. However, efforts soon encounter obstacles related to standardising logistics processes and establishing operational governance. Greater reliance on international institutions could help resolve these issues (Bayne, 2017). Yet governments frequently prioritise domestic interests, and after prolonged negotiations, the risk of international agreements failing increases. Amid the economic war between China and the USA, China launched a trade logistics initiative known as the Belt and Road Initiative (BRI), or One Belt One Road, in 2013. Often referred to as the New Silk Road, the BRI aims to establish economic corridors for trade logistics. The World Bank estimates that the BRI could boost trade flows by 4.1% and reduce trade costs by 1.1% [14]. In response, the Biden administration proposed the India-Middle East and Europe Economic Corridor (IMEC) in September 2023 to strengthen transport and communication links between Europe and Asia as a countermeasure to China’s BRI. IMEC has been well received by participating countries, with expectations of fostering economic growth, enhancing connectivity and potentially rebalancing trade and economic relations between the EU and China [15]. Both BRI and IMEC are ambitious projects aimed at boosting international trade through substantial investments in trade logistics infrastructure. Each seeks to assert governance over international trade channels, signalling that the supply chain war may soon evolve into a trade channel war between China and the USA. 3.2 Economic corridors Economic corridors are transport networks designed to support and facilitate the movement of goods, services, people and information. These corridors often include integrated infrastructure, such as highways, railways and ports, linking cities or even countries (Octaviano and Trishia, 2014). They are typically established to connect manufacturing hubs, high-supply and high-demand areas, and producers of value-added goods. Economic corridors comprise both hard infrastructure – such as trade facilities – and soft infrastructure, including trade facilitation and capacity-building measures. The Asian Development Bank introduced the term “economic corridor” in 1998 to describe networks connecting various economic agents within a region [16]. Economic corridors are integrated trade logistics networks, providing essential infrastructure for connecting regional segments of supply chains. As supply chains increasingly operate in regional “chunks,” linking these segments becomes ever more important. Economic corridors typically include a network of transport infrastructure, such as highways, railways, terminals and ports. Initiatives like the BRI and IMEC use economic corridors as instruments of economic diplomacy, shifting strategies from hard power to soft power, as shown in Figure 7. Because less-developed or developing countries often lack sufficient funding to invest in trade logistics, they tend to welcome these initiatives from developed countries, which offer international collaboration and support. However, these initiatives usually come with the condition that participating countries must accept standardised trade processes and governance led by the sponsoring developed country.  Figure 7 Economic corridor initiatives as economic diplomacy To succeed, economic corridors must meet three key conditions [17]. First, government intervention is essential, as economic corridor initiatives primarily involve public infrastructure investments beyond the scope of the private sector. In realising these projects, governments must reconcile three tensions to ensure their policies are mutually supportive: tensions between politics and economics, between international and domestic pressures and between governments and other stakeholders. Second, intermediate outcomes should be measured and demonstrated as results of economic corridors, allowing participants to experience tangible benefits throughout these longer-term projects. Finally, economic corridors should deliver broader benefits. Participants need incentives to utilise the infrastructure sustainably. These benefits may extend beyond economic welfare, such as wages and income, to include social inclusion, equity and environmental gains, which support the long-term viability of the infrastructure. 4. BRI vs IMEC4.1 Belt and Road Initiative (BRI) - Silk Road The BRI can be a modern-day realisation of the Silk Road concept, connecting Europe as a market base with China as a production base. Unlike the ancient Silk Road, which connected trade routes across Eurasia, the BRI poses potential challenges due to its extensive connectivity. Firstly, there are social and environmental externalities, such as increased congestion and accidents from concentrating traffic flows through limited links and nodes within trade networks. Secondly, while the connectivity may benefit the production and market bases at either end, regions situated between these hubs, through which highways and railways pass, may gain minimal advantage. Thirdly, there is often a mismatch between where costs and benefits are realised. Transit regions that facilitate network traffic often see fewer direct benefits compared to high-density nodes within the network. 4.2 India-Middle East and Europe Economic Corridor (IMEC) - The Spice Road The ancient Spice Roads once connected the Middle East and Northeast Africa with Europe, facilitating the exchange of goods such as cinnamon, ginger, pepper and cassia, which, like silk, served as a form of currency. The IMEC proposes a modern route from India to Europe through the United Arab Emirates (UAE), Saudi Arabia, Israel and Greece. Since its announcement in September 2023, some regional experts have expressed reservations about its feasibility, particularly regarding the connection between the Middle East and Israel. The project has faced delays due to the Israel–Hamas war. Despite these challenges, IMEC holds potential to drive economic growth and strengthen connectivity, especially as countries like Vietnam and India emerge as alternative manufacturing bases for companies relocating from China. For Saudi Arabia and the UAE, IMEC is not viewed as a challenge to China but rather as an opportunity to diversify their economies and solidify their roles within the Middle East region [18]. 5. Conclusion A new trade war between China and the USA has begun, with the Biden Administration’s introduction of IMEC as a counter to China’s BRI. This shift could soon transform the nature of economic war from a focus on supply chains to one on trade channels. The China manufacturing exodus was further accelerated by supply disruptions during the COVID-19 pandemic. Amidst the economic tensions between China and the USA, the restructuring of global supply chains into regional networks has made significant progress. With China maintaining its stance on export controls for strategic items, South Korea must prepare for resilient supply chain management. In relation to China–Korea FTA, which is currently undergoing its second phase of negotiation, South Korea should seek clarity on the transparency of China’s strategic item controls. The Committee on Foreign Investment in the United States (CFIUS) plays a key role in monitoring the quality of inbound investments; similarly, South Korea is experiencing increased inbound investment due to the manufacturing shift from China and should apply similar standards to evaluate investment quality. This emerging economic war between China and the USA is now marked by the competing initiatives of the BRI and IMEC. The BRI can be viewed as a modern Silk Road, linking China with Europe, while the IMEC seeks to establish a trade logistics corridor connecting Saudi Arabia, the UAE, Israel and Greece. The South Korean Government should take proactive steps to prepare for the evolving dynamics of the trade war between China and the USA. CitationOh, J.S. (2025), "International trade war - Spice Road against Silk Road", International Trade, Politics and Development, Vol. 9 No. 1, pp. 2-11. https://doi.org/10.1108/ITPD-06-2024-0031  Notes 1. https://www.investopedia.com/terms/s/supplychain.asp2. According to Gary Gereffi et al, 5 governance types of a lead company could be categorised as market, modular, relational, captive and hierarchy.3. Korea imports urea from 12 countries including Qatar, Vietnam, Indonesia and Saudi Arabia, in addition to China.4. https://single-market-economy.ec.europa.eu/sectors/raw-materials/areas-specific-interest/critical-raw-materials/strategic-projects-under-crma_en5. IPEF was launched on May 23,2022 at Tokyo. 14 member countries are Australia, Brunei, Fiji, India, Indonesia, Japan, Republic of Korea, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam and the USA. 4 Pillar of IPEF are Trade (Pillar 1), Supply Chain (Pillar 2),Clean Economy (Pillar 3) and Fair Economy (Pillar 4).6. Critics say “lack of substantive actions and binding commitments, instead focusing on process-driven framework building.” https://www.piie.com/blogs/realtime-economics/its-time-ipef-countries-take-action-supply-chain-resilience7. https://ec.europa.eu/commission/presscorner/detail/en/ip_22_54438. As of 2023, the first-largest trade partner of Korea is China (Trade volume of $267.66bn), the second is the US ($186.96bn) and the third is Vietnam ($79.43bn)9. As preferential ROO contain the labour value content requirement in the USMCA, it could increase compliance costs for importers. https://crsreports.congress.gov/product/pdf/RL/RL3452410. USITC(1996), Country of Origin Marking: Review of Laws, Regulations and Practices, USITC Publication 2975, July, pp. 2–411. https://www.barrons.com/articles/hong-kong-financial-center-china-46ba5d3612. Porter identifies a value chain broken in five primary activities: inbound logistics, operations, outbound logistics, marketing and sales and post-sale services. https://www.usitc.gov/publications/332/journals/concepts_approaches_in_gvc_research_final_april_18.pdf13. MAU is a metric commonly used to identify the number of unique users who engage with apps and website. MAU is an important measurement to the level of platform competitiveness in the digital trade logistics or e-commerce industry.14. https://home.kpmg/xx/en/home/insights/2019/12/china-belt-and-road-initiative-and-the-global-chemical-industry.html15. https://www.bradley.com/insights/publications/2023/10/the-india-middle-east-europe-economic-corridor-prospects-and-challenges-for-us-businesses16. The Asian Development Bank (ADB), which first used the term in 1998, defines economic corridors as important networks or connections between economic agents along a defined geography, which link the supply and demand sides of markets. http://research.bworldonline.com/popular-economics/story.php?id=350&title=Economic-corridors-boost-markets,-living-conditions17. Legovini et al. (2020) comments traditional cross border agreements of transport investment focuses only on a narrow set of direct benefits and cost. However, economic corridors can entail much wider economic benefits and costs such as trade and economic activity, structural change, poverty reduction, pollution and deforestation.18. Arab Centre Washington D.C. https://arabcenterdc.org/resource/the-geopolitics-of-the-india-middle-east-europe-economic-corridor/ References Bayne, N. (2017), Challenge and Response in the New Economic Diplomacy, 4th ed., The New Economic Diplomacy, Routledge, London, p. 19.Blanchard, J.M.F. and Ripsman, N.M. (2008), “A political theory of economic statecraft”, Foreign Policy Analysis, Vol. 4, pp. 371-398, doi: 10.1111/j.1743-8594.2008.00076.x.Gereffi, G., Humphrey, J. and Sturgeon, T. (2005), “The governance of value chain”, Review of International Political Economy, Vol. 12 No. 1, pp. 78-104, doi: 10.1080/09692290500049805.Kraljic, P. (1983), “Purchasing must be supply management”, Harvard Business Review, Vol. 61 No. 5, September.Legovini, A., Duhaut, A. and Bougna, T. (2020), “Economic corridors-transforming the growth potential of transport investments”, p. 10.Octaviano, B.Y. and Trishia, P. (2014), Economic Corridors Boost Markets, Living Conditions, Business World Research, Islamabad, October.United States International Trade Commission (USITC) (1996), “Country of origin marking: Review of Laws, Regulations, and Practices”, USITC Publication, Vol. 2975, July, pp. 2-4.Further readingPorter, M. (1985), Competitive Advantage: Creating and Sustaining Superior Performance, Free Press.Putman, R.D. (1988), “Diplomacy and domestic politics; the logic of two-level games”, International Organization, Vol. 42 No. 4, pp. 427-600.USITC (2019), “Global value chain analysis: concepts and approaches”, Journal of International Commerce and Economics, April, pp. 1-29.

Energy & Economics
Commodity and alternative asset, gold bar and crypto currency Bitcoin on rising price graph as financial crisis or war safe haven, investment asset or wealth concept.

Assessing Bitcoin and Gold as Safe Havens Amid Global Uncertainties: A Rolling Window DCC-GARCH Analysis

by Anoop S Kumar , Meera Mohan , P. S. Niveditha

Abstract We examine the roles of Gold and Bitcoin as a hedge, a safe haven, and a diversifier against the coronavirus disease 2019 (COVID-19) pandemic and the Ukraine War. Using a rolling window estimation of the dynamic conditional correlation (DCC)-based regression, we present a novel approach to examine the time-varying safe haven, hedge, and diversifier properties of Gold and Bitcoin for equities portfolios. This article uses daily returns of Gold, Bitcoin, S&P500, CAC 40, and NSE 50 from January 3, 2018, to October 15, 2022. Our results show that Gold is a better safe haven than the two, while Bitcoin exhibits weak properties as safe haven. Bitcoin can, however, be used as a diversifier and hedge. This study offers policy suggestions to investors to diversify their holdings during uncertain times. Introduction Financial markets and the diversity of financial products have risen in both volume and value, creating financial risk and establishing the demand for a safe haven for investors. The global financial markets have faced several blows in recent years. From the Global Financial Crisis (GFC) to the outbreak of the pandemic and uncertainty regarding economic policy measures of governments and central banks, the financial markets including equity markets around the world were faced with severe meltdowns. This similar behavior was observed in other markets including equity and commodity markets, resulting in overall uncertainty. In this scenario, the investors normally flock toward the safe-haven assets to protect their investment. In normal situations, investors seek to diversify or hedge their assets to protect their portfolios. However, the financial markets are negatively impacted when there are global uncertainties. Diversification and hedging methods fail to safeguard investors’ portfolios during instability because almost all sectors and assets are negatively affected (Hasan et al., 2021). As a result, investors typically look for safe-haven investments to safeguard their portfolios under extreme conditions (Ceylan, 2022). Baur and Lucey (2010) provide the following definitions of hedge, diversifier, and safe haven: Hedge: An asset that, on average, has no correlation or a negative correlation with another asset or portfolio. On average, a strict hedge has a (strictly) negative correlation with another asset or portfolio.Diversifier: An asset that, on average, has a positive correlation (but not perfect correlation) with another asset or portfolio. Safe haven: This is the asset that in times of market stress or volatility becomes uncorrelated or negatively associated with other assets or a portfolio. As was previously indicated, the significant market turbulence caused by a sharp decline in consumer spending, coupled with insufficient hedging opportunities, was a common feature of all markets during these times (Yousaf et al., 2022). Nakamoto (2008) suggested a remedy by introducing Bitcoin, a “digital currency,” as an alternative to traditional fiduciary currencies (Paule-Vianez et al., 2020). Bitcoin often described as “Digital Gold” has shown greater resilience during periods of crises and has highlighted the potential safe haven and hedging property against uncertainties (Mokni, 2021). According to Dyhrberg (2016), the GFC has eased the emergence of Bitcoin thereby strengthening its popularity. Bouri et al. (2017) in their study indicate that Bitcoin has been viewed as a shelter from global uncertainties caused by conventional banking and economic systems. Recent research has found that Bitcoin is a weak safe haven, particularly in periods of market uncertainty like the coronavirus disease 2019 (COVID-19) crisis (Conlon & McGee, 2020; Nagy & Benedek, 2021; Shahzad et al., 2019; Syuhada et al., 2022). In contrast to these findings, a study by Yan et al. (2022) indicates that it can function as a strong safe haven in favorable economic times and with low-risk aversion. Ustaoglu (2022) also supports the strong safe-haven characteristic of Bitcoin against most emerging stock market indices during the COVID-19 period. Umar et al. (2023) assert that Bitcoin and Gold are not reliable safe-havens. Singh et al. (2024) in their study reveal that Bitcoin is an effective hedge for investments in Nifty-50, Sensex, GBP–INR, and JPY–INR, at the same time a good diversifier for Gold. The study suggests that investors can incorporate Bitcoin in their portfolios as a good hedge against market volatility in equities and commodities markets. During the COVID-19 epidemic, Barbu et al. (2022) investigated if Ethereum and Bitcoin could serve as a short-term safe haven or diversifier against stock indices and bonds. The outcomes are consistent with the research conducted by Snene Manzli et al. (2024). Both act as hybrid roles for stock market returns, diversifiers for sustainable stock market indices, and safe havens for bond markets. Notably, Bhuiyan et al. (2023) found that Bitcoin provides relatively better diversification opportunities than Gold during times of crisis. To reduce risks, Bitcoin has demonstrated a strong potential to operate as a buffer against global uncertainty and may be a useful hedging tool in addition to Gold and similar assets (Baur & Lucey, 2010; Bouri et al., 2017; Capie et al., 2005; Dyhrberg, 2015). According to Huang et al. (2021), its independence from monetary policies and minimal association with conventional financial assets allow it to have a safe-haven quality. Bitcoins have a substantial speed advantage over other assets since they are traded at high and constant frequencies with no days when trading is closed (Selmi et al., 2018). Additionally, it has been demonstrated that the average monthly volatility of Bitcoin is higher than that of Gold or a group of international currencies expressed in US dollars; nevertheless, the lowest monthly volatility of Bitcoin is lower than the maximum monthly volatility of Gold and other foreign currencies (Dwyer, 2015). Leverage effects are also evident in Bitcoin returns, which show lower volatilities in high return periods and higher volatilities in low return times (Bouri et al., 2017; Liu et al., 2017). According to recent research, Bitcoins can be used to hedge S&P 500 stocks, which increases the likelihood that institutional and retail investors will build secure portfolios (Okorie, 2020). Bitcoin demonstrates strong hedging capabilities and can complement Gold in minimizing specific market risks (Baur & Lucey, 2010). Its high-frequency and continuous trading further enrich the range of available hedging tools (Dyhrberg, 2016). Moreover, Bitcoin spot and futures markets exhibit similarities to traditional financial markets. In the post-COVID-19 period, Zhang et al. (2021) found that Bitcoin futures outperform Gold futures.Gold, silver, palladium, and platinum were among the most common precious metals utilized as safe-haven investments. Gold is one such asset that is used extensively (Salisu et al., 2021). Their study tested the safe-haven property of Gold against the downside risk of portfolios during the pandemic. Empirical results have also shown that Gold functions as a safe haven for only 15 trading days, meaning that holding Gold for longer than this period would result in losses to investors. This explains why investors buy Gold on days of negative returns and sell it when market prospects turn positive and volatility decreases (Baur & Lucey, 2010). In their study, Kumar et al. (2023) tried to analyse the trends in volume throughout futures contracts and investigate the connection between open interest, volume, and price for bullion and base metal futures in India. Liu et al. (2016) in their study found that there is no negative association between Gold and the US stock market during times of extremely low or high volatility. Because of this, it is not a strong safe haven for the US stock market (Hood & Malik, 2013). Post-COVID-19, studies have provided mixed evidence on the safe-haven properties of Gold (Bouri et al., 2020; Cheema et al., 2022; Ji et al., 2020). According to Kumar and Padakandla (2022), Gold continuously demonstrates safe-haven qualities for all markets, except the NSE, both in the short and long term. During the COVID-19 episode, Gold’s effectiveness as a hedge and safe-haven instrument has been impacted (Akhtaruzzaman et al., 2021). Al-Nassar (2024) conducted a study on the hedge effectiveness of Gold and found that it is a strong hedge in the long run. Bhattacharjee et al. (2023) in their paper examined the symmetrical and asymmetrical linkage between Gold price levels and the Indian stock market returns by employing linear autoregressive distributed lag and nonlinear autoregressive distributed lag models. The results exhibit that the Indian stock market returns and Gold prices are cointegrated. According to the most recent study by Kaczmarek et al. (2022), Gold has no potential as a safe haven, despite some studies on the COVID-19 pandemic showing contradictory results. The co-movements of Bitcoin and the Chinese stock market have also normalized as a result of this epidemic (Belhassine & Karamti, 2021). Widjaja and Havidz (2023) verified that Gold was a safe haven asset during the COVID-19 pandemic, confirming the Gold’s safe-haven characteristic. As previously pointed out, investors value safe-haven investments in times of risk. Investors panic at these times when asset prices fall and move from less liquid (risky) securities to more liquid (safe) ones, such as cash, Gold, and government bonds. An asset must be bought and sold rapidly, at a known price, and for a reasonably modest cost to be considered truly safe (Smales, 2019). Therefore, we need to properly re-examine the safe-haven qualities of Gold and Bitcoin due to the mixed evidences regarding their safe-haven qualities and the impact of COVID-19 and the war in Ukraine on financial markets. This work contributes to and deviates from the body of existing literature in the following ways. We propose a novel approach in this work to evaluate an asset’s time-varying safe haven, hedge, and diversifier characteristics. This research examines the safe haven, hedging, and diversifying qualities of Gold and Bitcoin against the equity indices; S&P 500, CAC 40, and NSE 50. Through the use of rolling window estimation, we extend the methodology of Ratner and Chiu (2013) by estimating the aforementioned properties of the assets. Comparing rolling window estimation to other conventional techniques, the former will provide a more accurate representation of an asset’s time-varying feature. This study explores the conventional asset Gold’s time-varying safe haven, hedging, and diversifying qualities during crises like the COVID-19 pandemic and the conflict in Ukraine. We use Bitcoin, an unconventional safe-haven asset, for comparison. Data and Methodology We use the daily returns of three major equity indices; S&P500, CAC 40, and NSE 50 from January 3, 2018, to October 15, 2022. The equity indices were selected to represent three large and diverse markets namely the United States, France, and India in terms of geography and economic development. We assess safe-haven assets using the daily returns of Gold and Bitcoin over the same time. Equity data was collected from Yahoo Finance, Bitcoin data from coinmarketcap.com, and Gold data from the World Gold Council website. Engle (2002) developed the DCC (Dynamic Conditional Correlation)-GARCH model, which is frequently used to assess contagion amid pandemic uncertainty or crises. Time-varying variations in the conditional correlation of asset pairings can be captured using the DCC-GARCH model. Through employing this model, we can analyse the dynamic behavior of volatility spillovers. Engle’s (2002) DCC-GARCH model contains two phases; 1. Univariate GARCH model estimation2. Estimation of time-varying conditional correlation. For its explanation, mathematical characteristics, and theoretical development, see here [insert the next link in “the word here” https://journals.sagepub.com/doi/10.1177/09711023251322578] Results and Discussion The outcomes of the parameters under the DCC-GARCH model for each of the asset pairs selected for the investigation are shown in Table 1.   First, we look at the dynamical conditional correlation coefficient, ρ.The rho value is negative and insignificant for NSE 50/Gold, NSE 50 /BTC, S&P500/Gold, and S&P500/BTC indicating a negative and insignificant correlation between these asset pairs, showing Gold and Bitcoin as potential hedges and safe havens. The fact that ρ is negative and significant for CAC 40/Gold suggests that Gold can be a safe haven against CAC 40 swings. The asset pair CAC/BTC, on the other hand, has possible diversifier behavior with ρ being positive but statistically insignificant. Next, we examine the behavior of the DCC-GARCH parameters; α and β. We find that αDCC is statistically insignificant for all the asset pairs, while βDCC is statistically significant for all asset pairs. βDCC quantifies the persistence feature of the correlation and the extent of the impact of volatility spillover in a particular market’s volatility dynamics. A higher βDCC value implies that a major part of the volatility dynamics can be explained by the respective market’s own past volatility. For instance, the NSE 50/Gold’s βDCC value of 0.971 shows that there is a high degree of volatility spillover between these two assets, with about 97% of market volatility being explained by the assets’ own historical values and the remainder coming from spillover. Thus, we see that the volatility spillover is highly persistent (~0.8) for all the asset pairs except NSE 50/BTC. The results above show that the nature of the dynamic correlation between the stock markets, Bitcoin and Gold is largely negative, pointing toward the possibility of Gold and Bitcoin being hedge/safe haven. However, a detailed analysis is needed to confirm the same by employing rolling window analysis, and we present the results in the forthcoming section. We present the rolling window results for S&P500 first. We present the regression results for Gold in Figure 1 and Bitcoin in Figure 2   Figure 1. Rolling Window Regression Results for S&P500 and Gold.Note: Areas shaded under factor 1 represent significant regression coefficients. In Figure 1, we examine the behavior of β0 (intercept term), β1, β2, and β3 (partial correlation coefficients). The intercept term β0 will give an idea about whether the asset is behaving as a diversifier or hedge. Here, the intercept term shows significance most of the time. However, during 2018, the intercept was negative and significant, showing that it could serve as a hedge during geopolitical tensions and volatilities in the global stock market. However, during the early stages of COVID-19, we show that the intercept is negative and showing statistical significance, suggesting that Gold could serve as a hedge during the initial shocks of the pandemic. These findings are contrary to the results in the study by Tarchella et al. (2024) where they found hold as a good diversifier. Later, we find the intercept to be positive and significant, indicating that Gold could act as a potential diversifier. But during the Russia-Ukraine War, Gold exhibited hedge ability again. Looking into the behavior of β1, which is the partial correlation coefficient for the tenth percentile of return distribution shows negative and insignificant during 2018. Later, it was again negative and significant during the initial phases of COVID-19, and then negative in the aftermath, indicating that Gold could act as a weak safe haven during the COVID-19 pandemic. Gold could serve as a strong safe haven for the SP500 against volatility in the markets brought on by the war in Ukraine, as we see the coefficient to be negative and large during this time. From β2 and β3, the partial correlation coefficients of the fifth and first percentile, respectively, show that Gold possesses weak safe haven properties during COVID-19 and strong safe haven behavior during the Ukraine crisis. Next, we examine the characteristics of Bitcoin as a hedge/diversifier/safe haven against the S&P500 returns. We present the results in Figure 2.   Figure 2. Rolling Window Regression Results for S&P500 and Bitcoin.Note: Areas shaded under factor 1 represent significant regression coefficients. Like in the previous case, we begin by analysing the behavior of the intercept coefficient, which is β0. As mentioned earlier the intercept term will give a clear picture of the asset’s hedging and diversifier property. In the period 2018–2019, the intercept term is positive but insignificant. This could be due to the large volatility in Bitcoin price movements during the period. It continues to be minimal (but positive) and insignificant during 2019–2020, indicating toward weak diversification possibility. Post-COVID-19 period, the coefficient shows the significance and positive value, displaying the diversification potential. We see that the coefficient remains positive throughout the analysis, confirming Bitcoin’s potential as a diversifier. Looking into the behavior of β1 (the partial correlation coefficient at tenth percentile), it is positive but insignificant during 2018. The coefficient is having negative sign and showing statistical significance in 2019, suggesting that Bitcoin could be a good safe haven in that year. This year was characterized by a long list of corporate scandals, uncertainties around Brexit, and tensions in global trade. We can observe that throughout the COVID-19 period, the coefficient is showing negative sign and negligible during the March 2020 market meltdown, suggesting inadequate safe-haven qualities. However, Bitcoin will regain its safe-haven property in the coming periods, as the coefficient is negative and significant in the coming months. The coefficient is negative and shows statistical significance during the Ukrainian crisis, suggesting strong safe-haven property. Only during the Ukrainian crisis could Bitcoin serve as a safe haven, according to the behavior of β2, which displays the partial correlation coefficient at the fifth percentile. Bitcoin was a weak safe haven during COVID-19 and the Ukrainian crisis, according to β3, the partial correlation coefficient for the first percentile (coefficient negative and insignificant). According to the overall findings, Gold is a stronger safe haven against the S&P 500’s swings. This result is consistent with the previous studies of Triki and Maatoug (2021), Shakil et al. (2018), Będowska-Sójka and Kliber (2021), Drake (2022), and Ghazali et al. (2020), etc. The same analysis was conducted for the CAC 40 and the NSE 50; the full analysis can be found here [insert the next link in “the word here” https://journals.sagepub.com/doi/10.1177/09711023251322578]. However, it is important to highlight the respective results: In general, we may say that Gold has weak safe-haven properties considering CAC40. We can conclude that Bitcoin’s safe-haven qualities for CAC40 are weak. We can say that Gold showed weak safe-haven characteristics during the Ukraine crisis and good safe-haven characteristics for the NSE50 during COVID-19. We may say that Bitcoin exhibits weak safe haven, but strong hedging abilities to NSE50. Concluding Remarks In this study, we suggested a new method to evaluate an asset’s time-varying hedge, diversifier, and safe-haven characteristics. We propose a rolling window estimation of the DCC-based regression of Ratner and Chiu (2013). Based on this, we estimate the conventional asset’s time-varying safe haven, hedging, and diversifying properties during crises like the COVID-19 pandemic and the conflict in Ukraine. For comparison purposes, we include Bitcoin, a nonconventional safe-haven asset. We evaluate Gold and Bitcoin’s safe haven, hedging, and diversifier properties to the S&P 500, CAC 40, and NSE 50 variations. We use a rolling window of length 60 to estimate the regression. From the results, we find that Gold can be considered as a better safe haven against the fluctuations of the S&P 500. In the case of CAC 40, Gold and Bitcoin have weak safe-haven properties. While Bitcoin demonstrated strong safe-haven characteristics during the Ukraine crisis, Gold exhibited strong safe-haven characteristics during COVID-19 for the NSE 50. Overall, the findings indicate that Gold is the better safe haven. This outcome is consistent with earlier research (Będowska-Sójka & Kliber, 2021; Drake, 2022; Ghazali et al., 2020; Shakil et al., 2018; Triki & Maatoug, 2021). When it comes to Bitcoin, its safe-haven feature is weak. Bitcoin, however, works well as a diversifier and hedge. Therefore, from a policy perspective, investing in safe-haven instruments is crucial to lower the risks associated with asset ownership. Policymakers aiming to enhance the stability of financial portfolios might encourage institutional investors and other market players to incorporate Gold into their asset allocations. Gold’s strong safe-haven qualities, proven across various market conditions, make it a reliable choice. Gold’s performance during crises like COVID-19 highlights its potential to mitigate systemic risks effectively. Further, Bitcoin could also play a complementary role as a hedge and diversifier, especially during periods of significant volatility such as the Ukraine crisis. While Bitcoin’s safe-haven characteristics are relatively weaker, its inclusion in a diversified portfolio offers notable value and hence it should not be overlooked. Further, policymakers may consider how crucial it is to monitor dynamic correlations and periodically rebalance portfolios to account for shifts in the safe haven and hedging characteristics of certain assets. Such measures could help reduce the risks of over-reliance on a single asset type and create more resilient portfolios that can better withstand global economic shocks. For future research, studies can be conducted on the estimation of the rolling window with different widths. This is important to understand how the safe-haven property changes across different holding periods. Further, more equity markets would be included to account for the differences in market capitalization and index constituents. This study can be extended by testing these properties for multi-asset portfolios as well. We intend to take up this study in these directions in the future. Data Availability StatementNot applicable.Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.FundingThe authors received no financial support for the research, authorship, and/or publication of this article.ReferencesAkhtaruzzaman M., Boubaker S., Lucey B. M., & Sensoy A. (2021). Is gold a hedge or a safe-haven asset in the COVID-19 crisis? Economic Modelling, 102, 105588. Crossref. Web of Science.Al-Nassar N. S. (2024). Can gold hedge against inflation in the UAE? A nonlinear ARDL analysis in the presence of structural breaks. PSU Research Review, 8(1), 151–166. Crossref.Barbu T. C., Boitan I. A., & Cepoi C. O. (2022). Are cryptocurrencies safe havens during the COVID-19 pandemic? A threshold regression perspective with pandemic-related benchmarks. Economics and Business Review, 8(2), 29–49. Crossref.Baur D. G., & Lucey B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229. Crossref.Będowska-Sójka B., & Kliber A. (2021). Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether. The North American Journal of Economics and Finance, Elsevier, 56, 101390. Crossref.Belhassine O., & Karamti C. (2021). Contagion and portfolio management in times of COVID-19. Economic Analysis and Policy, 72, 73–86. Crossref. PubMed. Web of Science.Bhattacharjee A., Das J., & Kumar S. (2023). Evaluating the symmetrical and asymmetrical linkage between gold price and Indian stock market in the presence of structural change. NMIMS Management Review, 31(4), 288–297. Crossref. Web of Science.Bhuiyan R. A., Husain A., & Zhang C. (2023). Diversification evidence of Bitcoin and Gold from wavelet analysis. Financial Innovation, 9(1), 100. Crossref. PubMed. Web of Science.Bouri E., Azzi G., & Dyhrberg A. H. (2017). On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics, 11(1), 2. Crossref.Bouri E., Gupta R., Tiwari A. K., & Roubaud D. (2017). Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 23, 87–95. Crossref. Web of Science.Bouri E., Shahzad S. J. H., Roubaud D., Kristoufek L., & Lucey B. (2020). Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. The Quarterly Review of Economics and Finance, 77, 156–164. Crossref. Web of Science.Brenner M., & Galai D. (1989). New financial instruments for hedge changes in volatility. Financial Analysts Journal, 45(4), 61–65. Crossref.Capie F., Mills T. C., & Wood G. (2005). Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money, 15(4), 343–352. Crossref.Ceylan Ö. (2022). Hedging Effectiveness of the VIX ETPs: An analysis of the time-varying performance of the VXX. In Handbook of research on new challenges and global outlooks in financial risk management (pp. 384–401). IGI Global. Crossref.Cheema M. A., Faff R., & Szulczyk K. R. (2022). The 2008 global financial crisis and COVID-19 pandemic: How safe are the safe haven assets? International Review of Financial Analysis, 83, 102316. Crossref. PubMed. Web of Science.Conlon T., & McGee R. (2020). Safe haven or risky hazard? Bitcoin during the COVID-19 bear market. Finance Research Letters, 35, 101607. Crossref. PubMed. Web of Science.Demir E., Gozgor G., Lau C. K. M., & Vigne S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145–149. Crossref. Web of Science.Drake P. P. (2022). The gold-stock market relationship during COVID-19. Finance Research Letters, 44, 102111. Crossref. PubMed. Web of Science.Dwyer G. P. (2015). The economics of Bitcoin and similar private digital currencies. Journal of Financial Stability, 17, 81–91. Crossref. Web of Science.Dyhrberg A. H. (2015). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 1–6. https://doi.org/10.1016/j.frl.2015.10.025Dyhrberg A. H. (2016). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025 Web of Science.Engle R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339–350. Crossref. Web of Science.Ghazali M. F., Lean H. H., & Bahari Z. (2020). Does gold investment offer protection against stock market losses? Evidence from five countries. The Singapore Economic Review, 65(02), 275–301. Crossref.Hasan M. B., Hassan M. K., Rashid M. M., & Alhenawi Y. (2021). Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic? Global Finance Journal, 50, 100668. Crossref. PubMed.Hood M., & Malik F. (2013). Is gold the best hedge and a safe haven under changing stock market volatility? Review of Financial Economics, 22(2), 47–52. Crossref.Huang Y., Duan K., & Mishra T. (2021). Is Bitcoin really more than a diversifier? A pre-and post-COVID-19 analysis. Finance Research Letters, 43, 102016. Crossref.Ji Q., Zhang D., & Zhao Y. (2020). Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71, 101526. Crossref. PubMed. Web of Science.Kaczmarek T., Będowska-Sójka B., Grobelny P., & Perez K. (2022). False safe haven assets: Evidence from the target volatility strategy based on recurrent neural network. Research in International Business and Finance, 60, 101610. Crossref. Web of Science.Kumar A. S., & Padakandla S. R. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach. Finance Research Letters, 47, 102707. Crossref. PubMed. Web of Science.Kumar M. A., Swathi J., Pallavi T. A., & Bavana S. (2023). Volume progression and price–volume relationship of commodity futures: Case of bullion and base metals. NMIMS Management Review, 31(4), 265–274. https://doi.org/10.1177/09711023241230463 Web of Science.Liu C. S., Chang M. S., Wu X., & Chui C. M. (2016). Hedges or safe havens—Revisit the role of gold and USD against stock: A multivariate extended skew-t copula approach. Quantitative Finance, 16(11), 1763–1789. Crossref.Liu R., Zhichao S., Wei G., & Wang W. (2017). GARCH model with fat-tailed distributions and Bitcoin exchange rate returns. Journal of Accounting, Business and Finance Research, 1(1), 71–75. https://doi.org/10.2139/ssrn.3666106 Crossref.Mokni K. (2021). When, where, and how economic policy uncertainty predicts Bitcoin returns and volatility? A quantiles-based analysis. The Quarterly Review of Economics and Finance, 80, 65–73. Crossref.Nagy B. Z., & Benedek B. (2021). Higher co-moments and adjusted Sharpe ratios for cryptocurrencies. Finance Research Letters, 39, 101543. Crossref. Web of Science.Nakamoto S. (2008). Bitcoin: A peer-to-peer electronic cash system. Bitcoin. https://bitcoin.org/bitcoin.pdfOkorie D. I. (2020). Could stock hedge Bitcoin risk(s) and vice versa? Digital Finance, 2(1), 117–136. Crossref.Paule-Vianez J., Prado-Román C., & Gómez-Martínez R. (2020). Economic policy uncertainty and Bitcoin. Is Bitcoin a safe-haven asset? European Journal of Management and Business Economics, 29(3), 347–363. Crossref.Ratner M., & Chiu C. C. J. (2013). Hedging stock sector risk with credit default swaps. International Review of Financial Analysis, 30, 18–25. Crossref. Web of Science.Salisu A. A., Raheem I. D., & Vo X. V. (2021). Assessing the safe haven property of the gold market during COVID-19 pandemic. International Review of Financial Analysis, 74, 101666. Crossref. PubMed. Web of Science.Saxena S., & Villar A. (2008). Hedging instruments in emerging market economies. Financial globalisation and emerging market capital flows. BIS Papers, 44, 71–87.Selmi R., Mensi W., Hammoudeh S., & Bouoiyour J. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787–801. Crossref. Web of Science.Shahzad S. J. H., Bouri E., Roubaud D., Kristoufek L., & Lucey B. (2019). Is Bitcoin a better safe-haven investment than gold and commodities? International Review of Financial Analysis, 63, 322–330. Crossref. Web of Science.Shakil M. H., Mustapha I. H. M., Tasnia M., & Saiti B. (2018). Is gold a hedge or a safe haven? An application of ARDL approach. Journal of Economics, Finance and Administrative Science, 23(44), 60–76. Crossref.Singh V. V., Singh H., & Ansari A. (2024). Bitcoin as a distinct asset class for hedging and portfolio diversification: A DCC-GARCH model analysis. NMIMS Management Review, 32(1), 7–13. Crossref. Web of Science.Smales L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393. Crossref. Web of Science.Snene Manzli Y., Alnafisah H., & Jeribi A. (2024). Safe haven ability of energy and agricultural commodities against G7 stock markets and banking indices during COVID-19, Russia–Ukraine War, and SVB collapse: Evidence from the wavelet coherence approach. Discrete Dynamics in Nature and Society, 2024(1), 2587000. Crossref.Syuhada K., Suprijanto D., & Hakim A. (2022). Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach. Finance Research Letters, 46, 102471. Crossref. PubMed. Web of Science.Tarchella S., Khalfaoui R., & Hammoudeh S. (2024). The safe haven, hedging, and diversification properties of oil, gold, and cryptocurrency for the G7 equity markets: Evidence from the pre-and post-COVID-19 periods. Research in International Business and Finance, 67, 102125. Crossref. Web of Science.Triki M. B., & Maatoug A. B. (2021). The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk. Resources Policy, 70, 101872. Crossref. Web of Science.Umar Z., Bossman A., Choi S. Y., & Teplova T. (2023). The relationship between global risk aversion and returns from safe-haven assets. Finance Research Letters, 51, 103444. Crossref. Web of Science.Ustaoglu E. (2022). Safe-haven properties and portfolio applications of cryptocurrencies: Evidence from the emerging markets. Finance Research Letters, 47, 102716. Crossref. Web of Science.Widjaja M., & Havidz S. A. H. (2023). Are gold and cryptocurrency a safe haven for stocks and bonds? Conventional vs Islamic markets during the COVID-19 pandemic. European Journal of Management and Business Economics (ahead-of-print).Yan Y., Lei Y., & Wang Y. (2022). Bitcoin is a safe-haven asset and a medium of exchange. Axioms, 11(8), 415. Crossref.Yousaf I., Plakandaras V., Bouri E., & Gupta R. (2022). Hedge and safe haven properties of gold, US Treasury, Bitcoin, and Dollar/CHF against the FAANA companies and S&P 500 (Department of Economics, Working Paper Series No. 2022–27). University of Pretoria.Zhang Y., Zhu P., & Xu Y. (2021). Has COVID-19 changed the hedge effectiveness of bitcoin? Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.704900