Exploration of industrial risk contagion characteristics and mechanism under geopolitical events: evidence from China

Based on the TVP-VAR-DY and TVP-VAR-BK models, this article examines the characteristics and mechanisms of systemic risk contagion in the Chinese industries under geopolitical events by selecting data spans from 1 January 2010 to 31 August 2022. First, dynamic analysis of full-sample risk contagion shows that there is a significant climb in total risk during geopolitical events. Then the static analysis of risk contagion in the full sample specifically shows the correlation between risk contagion and industry chain between the financial and real sectors. Besides, the sub-sample analysis illustrates that during geopolitical events such as the Sino-US Trade War, the COVID-19 Pandemic and the Russia-Ukraine Conflict, Chinese industrial stock indexes show short-term risk spillovers from key industries related to geopolitical events, and gradually spread along the industrial chain in the long run compared to the Chinese ‘Stock Market Crash'. Through further mechanistic tests, we find that the irrational behaviour of investors in the market exacerbates short-term risk contagion, while the financial distress of real firms due to financing constraints exacerbates long-term risk contagion. In addition, geopolitical risk, economic uncertainty, and policy uncertainty as macro variables also have an impact on the short-run and long-run risk contagion. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Dynamic spillover and systemic importance analysis of global clean energy companies: A tail risk network perspective

This paper conducts tail risk spillover and systemic importance analysis based on the firm-level data of global clean energy system. The tail risk network is constructed based on the ΔCoVaR method, where the correlation is calculated from three perspectives: market, sector and institution. Moreover, the systematically important institutions are identified through a PageRank-based approach. We find that two industries contribute the largest in the risk transmission process, and most of the identified important institutions come from these industries as well. Also, it is observed that the COVID-19 pandemic and the Russia–Ukraine conflict would render different impacts on the risk contagion.

Sustainability and stability: Will ESG investment reduce the return and volatility spillover effects across the Chinese financial market?

This study provides a preliminary investigation of the relationship between sustainability and stability by investigating the impact of ESG investment on the return and volatility spillover effects in the major Chinese financial markets, including the stock, bond, interbank, and foreign exchange markets. We adopted both the TVP-VAR and DY methods to calculate the time-varying total, directional, and pairwise spillover indices. We examined the impact of ESG investment on financial market stability by comparing the spillover effects when ESG investment, represented by the ESG stock index, is considered with those without special consideration on the ESG investment, represented by the general stock index. The results show that when the ESG stock index replaces the general stock index, the total, directional, and pairwise spillover effects in the Chinese financial market generally decrease. Meanwhile, we find that although the overall Chinese financial market spillover index is around 13%, it is occasionally quite volatile. In particular, the markets were hugely uncertain in 2013 and 2020 due to the disequilibrium of supply and demand conditions in the money market and the considerable shocks created by the COVID-19 pandemic. We support the idea that, while the Chinese government develops its green finance, for instance, by advocating for ESG investment, it simultaneously builds a more stabilized financial market. In other words, sustainability and stability are positively correlated and can be achieved together. The reason for this is that ESG investment supports a long-run investment strategy by reducing excessive short-run speculation activities in the Chinese stock market, which accounts for the volatile property of the market since it was launched.

Dynamic spillovers between clean energy and non-ferrous metals markets in China: A network-based analysis during the COVID-19 pandemic

Due to the close production link between clean energy and non-ferrous metals, their price and market dynamics can easily affect one another through production costs. Furthermore, with the increased financialization of clean energy and non-ferrous metals markets, investment risk can easily spread between them. Therefore, this paper intends to explore the risk contagion between the two markets through the spillover index model and the minimum spanning tree (MST) method. Employing the data collected in China, this paper quantifies the magnitude of risk transfer by the volatility spillovers of eight clean energy stock markets as identified in The Energy Conservation and Environmental Protection Clean Industry Statistical Classification 2021 and the eight corresponding non-ferrous metals futures markets, while fully considering the heterogeneity between sub-markets. First, we find that risk is mainly transmitted from clean energy to non-ferrous metals. Second, this paper identifies not only the most influential market but also the shortest path of risk contagion based on the MST topology analysis. Last, the empirical results show that the COVID-19 has increased the scale of risk transmission between the two markets and their connectivity. During the COVID-19 period, the shortest path between the two markets shifted from "hydropower–gold” to "smart grid–zinc”, and the systematically influential markets correspondingly become smart grid and zinc. The results obtained in this paper might have practical implications for policymakers seeking to achieve effective risk management, which could also facilitate investors for diversification benefits. © 2023 Elsevier Ltd

Risk Dependence and Risk Spillovers Effect from Crude Oil on the Chinese Stock Market and Gold Market: Implications on Portfolio Management

We analyze crude oil's dependence and the risk spillover effect on the Chinese stock market and the gold market. We compare both static and dynamic copula functions and calculate the average upward and downward spillover effect using the time-varying Copula model and the conditional value-at-risk approach. By utilizing daily data on crude oil prices, China's stock market, and the gold market, we observe an asymmetric spillover effect: the downside spillover effects from crude oil prices on the Chinese stock market and gold market are larger than the upside spillover effect. We then identify changes in the structure of the sample periods and calculate the dynamic conditional correlation between them. In addition, we explore the optimal weight and hedge ratios in diversified portfolios to mitigate potential risks. Our results suggest that investors and portfolio managers should frequently adjust their portfolio strategies, particularly during extreme events like COVID-19, when financial assets become more volatile. Furthermore, crude oil can help reduce the risk in the Chinese stock market and gold market to some extent during different sub-periods. © 2023 by the authors.

Debt default, financial risk transmission and governance from the perspective of supply chain network.

The stock risk spillovers of 31 associated enterprises of Evergrande supply chain in China were measured with DCC-GARCH and CoVaR model, and high, moderate and low risk overflow networks in four periods were constructed, finally the overall metrics and dynamic evolution of risk spillover network were explored. The results showed that: With COVID-19 under control in China, the risk spillover of Evergrande supply chain associated enterprises continues to diverge, with the quantity and scope of high risk declining and moderate and low risk rising; The infection scope of high risk spillover has narrowed, from indirect to direct infection; Evergrande subsidiaries play obvious bridge roles in moderate and low risk networks, have strong control over the risk spread; Commercial banks suffer and trigger more risk spillovers, a number of risk spillover groups with commercial banks as cores formed in high and moderate risk networks.

Systemic Risk Transmission from the United States to Asian Economies During the COVID-19 Period

The study investigates the systemic risk transmission from the US banking sector and the US market to the five most economically impacted Asian nations (Thailand, Malaysia, the Philippines, India, and Singapore) during the COVID-19 period of 2020. We consider the conditional value-at-risk (CoVaR) approach to estimate the systemic risk of the given economies at 5% quantile (for severe downturn risk) and 20% quantile (for moderate downturn risk). Our findings demonstrate a rise in systemic risk for these Asian countries in 2020, particularly in the first half of the year. The findings also provide evidence of the significant systemic risk transmission from the US banking sector and the US stock market to the majority of the given Asian economies at both quantiles. The study further highlights the significant contribution of the US financial market in increasing the systemic risk of the given Asian economies in 2020. We find similar results for systemic risk transmission from the UK, the European Union, and Japan to the given Asian economies. The findings have implications for market participants, risk managers, and regulators who are concerned with risk diversification and tracking the routes of risk shock transmission. JEL Codes: G10;G18;G20. © 2023 Institute of Financial Management and Research.

Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk

The paper examines the interactions of downside risks between crude oil and the automobile sector through the employment of Diebold and Yilmaz (2012) and Diebold and Yılmaz (2014) framework in a static and time-varying perspective. The network connectedness is found to intensify during the periods of the Global Financial Crisis (2007-09) and the COVID-19 pandemic (2020-21). Crude oil remains a net receiver of downside risks along with the automobile firms such as FAW and SAIC while Daimler, BMW, and Renault are the prominent transmitters of downside risk in the network. Further, we find that the net pairwise spillover of downside risk of oil on automobile stocks is time-variant. The risk diversification strategies using optimal portfolios that minimise VaR95, CVaR95, and maximise quadratic utility gains are constructed with oil futures contracts and evaluated for their hedging efficiency and net utility gains. The overall hedging efficiency and net utility gains are highest during the Global Financial crisis period, followed by COVID-19, the post-crisis, and the pre-crisis periods. The findings hold significance for investors, fund managers, and policymakers.

Assessing stock market contagion and complex dynamic risk spillovers during COVID-19 pandemic.

A very important area where COVID-19 has seriously disrupted is the global financial markets, where stock markets have experienced great turmoil. To shed light on the nature of this turmoil and to characterize nonlinear dynamics in inter-market risk transmission, we formally test the existence of inter-stock market contagion, identify the main channel once the presence of contagion has been established, and assess the upside and downside risk spillovers dynamically focusing on complexity during pre-COVID-19 and post-COVID-19 periods. Applying multiple measures including time-varying conditional value-at-risk based on copula theory, and sample entropy methods, considering a sample covering seven countries (USA, UK, France, Germany, Japan, Brazil, China) during the period from 4 January 2019 to 30 December 2020, we show that contagion is widely present among analysed stock markets with only a few exceptions and that "portfolio rebalancing" as opposed to "wealth constraint" occurs more as the main channel of transmission. All market pairings exhibit significant bilateral upside and downside spillovers after the outbreak of COVID-19. A significant shift in complexity of risk spillover dynamics is evident for most recipient countries following the shock of COVID-19, among which all but China display a downward shift. The findings of this paper could help regulators, politicians, and portfolio risk managers amid the uncertainty created by the COVID-19 pandemic.

Dependences and risk spillover effects between Bitcoin, crude oil and other traditional financial markets during the COVID-19 outbreak.

This study examines the relationship and risk spillover between Bitcoin, crude oil, and six traditional markets (the US stock, Chinese stock, gold, bond, currency, and real estate markets) from 2019 to 2020, during which the coronavirus disease 2019 (COVID-19) outbreak occurred as well. We first discuss the static relationship between Bitcoin and these markets using a quantile-on-quantile model and examine the dynamic relationship using a time-varying copula model. A conditional value-at-risk model is subsequently used to estimate the risk spillover between the markets studied. The empirical results reveal that the relationship between these markets is always time-varying, and the COVID-19 outbreak has revealed such changes in the relationship between Bitcoin and other traditional financial markets. The risk of all single markets has enhanced because of the pandemic. Further, the risk spillover of these markets has also changed dramatically since the COVID-19 outbreak during which the Bitcoin market has played an important role and exerted a significant impact on the crude oil market, and the four other markets (US stock, gold, Chinese stock, and real estate markets). Overall, our findings indicate that investors and policymakers need to be made aware of the risk spillover between Bitcoin, crude oil, and other traditional markets and that flexible hedge strategies and policies should be implemented in response to the challenges and economic recession observed following the COVID-19 outbreak.

Dynamic spillovers and asymmetric connectedness between fossil energy and green financial markets: Evidence from China

With the purpose of risk management for fossil energy investors, this paper examines the dynamic spillover effect and asymmetric connectedness between fossil energy, green financial and major traditional financial markets in China. By employing the spillover index model of Diebold and Yilmaz, a weak correlation between green financial and fossil energy markets is verified, and the market connectedness remains relatively calm despite the COVID-19 pandemic outbreak. Specifically, green bonds receives fewer shocks from crude oil than coal, green stocks receive fewer shocks from coal than crude oil. In addition, rather than the safe-haven characteristics presented by gold, this paper further proves that green bonds also have the potential to act as safe-haven assets, due to the fact that the connectedness between green bonds and energy markets is at low levels. Finally, the magnitude of return spillovers between markets would vary significantly during different periods. The results obtained in this paper have practical implications for both investors and policymakers. Copyright © 2022 Deng, Guan, Zheng, Xing and Liu.

Analyzing the risk spillovers of international crude oil on China's corn and biofuel ethanol markets: A transition toward green economy and environmental sustainability

This study aims to analyze the risk spillover effects between the global crude oil market and the biofuel ethanol and corn markets in China, employing a DCC-GARCH-Copula-CoVaR model and basing the weekly price data from 2012 to 2021. The empirical results revealed that there were dynamic conditional correlations among international crude oil, China's biofuel ethanol, and corn markets. Following the COVID-19 outbreak, the CoVaR and Delta CoVaR changed, which caused a sharp increase in the mean values and volatility. Additionally, China's biofuel ethanol market is more vulnerable to the risk spillovers from the international crude oil market than China's corn market. However, China's markets do not appear to have obvious risk spillover effects on the global market. The implications of the results are discussed in financial market supervision, including the risk management and portfolio adjustment.

Dynamic spillovers between uncertainties and green bond markets in the US, Europe, and China: Evidence from the quantile VAR framework

This paper investigates the quantile connectedness between uncertainties and green bonds in the US, Europe, and China by using a quantile VAR model-based connectedness approach. The empirical findings suggest that the spillover effect under extreme market conditions is significantly higher than that under normal market conditions. We also show that stock market uncertainty (VIX) and oil market uncertainty (OVX) have a greater impact on green bonds, especially in extreme upward markets. In addition, the US is the dominant transmitter of spillovers in other green bond markets, while China is always the net receiver of spillovers. Further research, meanwhile, demonstrates that the connectedness between green bonds and uncertainties is time-varying and that the spillover effects at extreme upper and lower quantiles are asymmetric and heterogeneous, especially in the early days of the COVID-19 pandemic. These findings provide investors and policymakers with systematic insights into the risk resistance of different green bond markets.

Spillover effects among crude oil, carbon, and stock markets: evidence from nonparametric causality-in-quantiles tests

This study investigates the spillovers and information transmission between carbon, crude oil, and stock markets under various market conditions in Phase III of the EU ETS. For this purpose, we use a novel causality-in-quantiles test method and quantile impulse response functions based on daily data of carbon futures, Brent spot, and three representative equity indices in the Europe over the period from 27 January 2014 to 18 September 2020. We find that crude oil market has a unidirectional spillover effect on carbon market, and this causality is significant under normal to bullish market conditions. Furthermore, the causality-in-quantiles between crude oil and stock markets varies with specific equality index, and the information transmission from crude oil to stock market is strong in the normal stock market but invalid when stock markets become extremely bearish or bullish. The COVID-19 epidemic may cause structural changes in the oil-carbon and oil-stock nexus.

Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?

Earlier studies have confirmed the asymmetry as a key feature of return volatility and risk spillovers. However, little research has explored the impact of asymmetric dependence volatility on risk spillovers. In this paper, we propose the asymmetric generalized autoregressive score-time-varying mixture model to analyze this issue. Using a dataset covering the crude oil market and BRICS stock markets from January 11, 2000 to June 11, 2021, we find the tail dependence of these markets is falling faster than it is rising, and this feature is more significant in upper tail dependence. Also, the capture of asymmetric dependence volatility is beneficial for the estimation of risk spillovers. Moreover, the risk from the crude oil market will amplify the downside risks in BRICS stock markets. In addition, downside risk spillovers between these markets are significant during the COVID-19 pandemic.

From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic

This study uses a high-dimensional time-frequency volatility spillover model to examine risk interactions across 32 global stock and credit default swap (CDS) markets during the coronavirus (COVID-19) pandemic. Our empirical results mainly show that cross-market risk spillovers between these two types of markets are rare over the whole crisis period. Adding CDS assets to the stock portfolio would significantly decrease the overall risk spillovers in the mixed portfolio. Then, the time-frequency spillover and rolling window analyses confirm this finding and provide further evidence of frequency heterogeneity of risk spillovers during the pandemic. The outbreak of the COVID pandemic only sharply increases short-term risk spillovers between the stock and sovereign CDS market but exerts insignificant impacts on the medium and long-term cross-market risk spillovers. Moreover, our results show that developed countries are net transmitters in the stock markets. In contrast, the emerging markets account for the most risk spillovers in sovereign CDS markets over the sample period, emphasizing the heterogenous adverse impacts of the pandemic across various countries and markets. Finally, we find that bailouts implemented by the US and EU central banks, though with heterogeneous impacts across frequencies, gradually enhance the confidence and resilience of investors in these markets.

Risk spillover analysis of China’s financial sectors based on a new GARCH copula quantile regression model

This study employs a new GARCH copula quantile regression model to estimate the conditional value at risk for systemic risk spillover analysis. To be specific, thirteen copula quantile regression models are derived to capture the asymmetry and nonlinearity of the tail dependence between financial returns. Using Chinese stock market data over the period from January 2007 to October 2020, this paper investigates the risk spillovers from the banking, securities, and insurance sectors to the entire financial system. The empirical results indicate that (i) three financial sectors contribute significantly to the financial system, and the insurance sector displays the largest risk spillover effects on the financial system, followed by the banking sector and subsequently the securities sector;(ii) the time-varying risk spillovers are much larger during the global financial crisis than during the periods of the banking liquidity crisis, the stock market crash and the COVID-19 pandemic. Our results provide important implications for supervisory authorities and portfolio managers who want to maintain the stability of China’s financial system and optimize investment portfolios.

Energy security: Does systemic risk spillover matter? Evidence from China

Considering the severity and frequency of energy risk event shocks, this paper examines whether energy security issue is related to the propagation of significant shocks within the energy system. Relevant researches fail to concern the impact of systemic risk spillovers across energy firms on energy security and its influence mechanisms. By employing a complex network for characterizing risk event shock propagation mechanisms among high-dimensional data, our study captures the transmission of systemic risk among 128 Chinese energy firms from January 2013 to June 2021. Furthermore, using a modified spatial panel model, we find that systemic risk spillovers significantly affect energy security, and the effects are particularly salient in 2015–2016 and under COVID-19. The diffusion of risk event shocks in the Chinese energy system causes a decline in energy production and energy investment, further influencing short- and long-term energy security, respectively. Compared to the energy investment channel during 2015–2016 volatile periods, the negative effect of the COVID-19 crisis on security issues relies more on the energy production channel. The results also show a heterogeneous effect of individual energy firms' risk event shocks on energy security, and the influence of the systemic risk spillovers caused by state-owned firms' risk events is more significant than private firms. Overall, in dealing with frequent energy shocks, collaborations among energy firms, energy sectors, and the government are important for ensuring a country's energy security.

Do Cryptocurrencies provide better hedging? Evidence from major equity markets during COVID-19 pandemic

Using the five-minute interval price data of two cryptocurrencies and eight stock market indices, we examine the risk spillover and hedging effectiveness between these two assets. Our approach provides a comparative assessment encompassing the pre-COVID-19 and COVID-19 sample periods. We employ copula models to assess the dependence and risk spillover from Bitcoin and Ethereum to stock market returns during both the pre-COVID-19 and COVID-19 periods. Notably, the COVID-19 pandemic has increased the risk spillover from Bitcoin and Ethereum to stock market returns. The findings vis-à-vis portfolio weights and hedge effectiveness highlight hedging gains;however, optimal investments in Bitcoin and Ethereum have reduced during the COVID-19 pandemic, while the cost of hedging has increased during this period. The findings also confirm that cryptocurrencies cannot provide incremental gains by hedging stock market risk during the COVID-19 pandemic.

A Study on the Transnational Spillover Effects of Bank Risk and Sovereign Risk-From the Perspective of COVID-19 Epidemic Situation.

In recent years, the world economy and the global financial system have closely intertwined, deepened economic and financial integration via cross-border investments, financings, imports, and exports. Since banks serve as the core of a country's financial system, the risk status of banks directly affects the country's national credit and financial security. The current complexities of the international and domestic environments are increasing geopolitical risks. Moreover, there is increasing uncertainty recognition in the financial and economic development of all countries, more systemic banking risks, and sovereign risk transfer elements. In this scenario, resisting external risk input is essential to enhance risk prevention ability. Therefore, this paper adopted the VAR-based time domain and frequency model for a multi-dimensional analysis of the two perspectives of banking and sovereign risk spillover effects. The empirical results indicate that the entire sample under the static overflow effect always shows that most of the absorption is the banking sector risk, and sovereign risk is the leading risk spillover. In the frequency domain perspective, the short-term spillover effects between bank and sovereign risk are dominant. Moreover, in relation to the outbreak and continuous spread of the COVID-19 pandemic, the spillover effects are often dominated by adverse, long-term scenarios.