Contagion between selected European indexes during the Covid-19 pandemic

The main aim of this study is to examine dynamic dependence and proof of contagion during the Covid-2019 pandemic. The empirical data are daily prices from six European indexes. The FTSE, DAX and CAC indexes represent the largest and most developed stock markets in Europe, while the Austrian ATX index represents small developed markets. The WIG and BUX indexes represent emerging European markets. This empirical study, based on the Dynamic Conditional Correlation model, which is applied to different pairs of indexes, aims to convince the reader of the increase in the correlation between the time of the pandemic (after 30 December 2019) and the period before the beginning of the pandemic. For all pairs, the mean value of the conditional correlations in the pre-Covid period was statistically below the values in the Covid period. The results indicate contagion in Europe after the outbreak of the Covid-2019 pandemic.

Re-examining oil and BRICS' stock markets: new evidence from wavelet and MGARCH-DCC

This study examines how the relationship between oil and stock market return of BRICS behaves at different investment horizons. Using data ranging from 2006 to 2020, the wavelet and MGARCH-DCC found that the stock markets' return of Russia, Brazil, and South Africa are comparatively more correlated with oil price return across the investment horizons and more volatile particularly during the Covid-19 period. However, the stock markets' return of China and India is less correlated with oil price return and less volatile. It is also revealed that oil price return leads the BRICS' stock markets' return and both are positively correlated.

Volatility Spillovers between Stock and Energy Markets during Crises: A Comparative Assessment between the 2008 Global Financial Crisis and the Covid-19 Pandemic Crisis

This paper investigates volatility spillovers between energy and stock markets during periods of crises. Our main findings reveal that transmissions of volatilities among these markets during the Covid-19 pandemic crisis exceeded the ones recorded throughout the 2008 global financial crisis. All stock markets are net transmitters of volatility to energy markets during the 2008 global financial crisis while they show different patterns during the Covid-19 crisis. We also provide evidence of asymmetric volatility spillovers among stock and energy markets. Our results also indicate that on average natural gas provides better hedging effectiveness to the stock markets than crude oil.

The beneficial role of green bonds as a new strategic asset class: Dynamic dependencies, allocation and diversification before and during the pandemic era

The paper proposes a full comprehensive analysis of green bond diversification benefits, their co-movement with multiple market indices, and the corresponding implications for portfolio allocation. Based on a time frame of seven years, divided into four sub-periods, the co-movements of green-bond indices, i.e. Solactive Green Bond Index and Bloomberg Barclays MSCI Green Bond Index, and the stock/bond market have been described, shedding light on the connections with sectors most affected by the Covid-19 pandemic. The Solactive Green Bond Index is found to provide the greater diversification benefit of the two green-bond indices, on average during the seven years and also during the pandemic. Allocation strategies and risk performances have also been analyzed to assess the impact of green-bond indices on otherwise traditional portfolios;their diversification power is discussed by use of traditional measures and an additional behavioral approach, drawing attention to its evolution in time and its consistency in terms of diminished risks and increased returns. Portfolios constructed with the inclusion of green bonds prove preferable in terms of risk, in all periods and for all strategies, while the superiority of returns depends on the allocation strategy. © 2023 Elsevier B.V.

Exploring the Contagion Effect from Developed to Emerging CEE Financial Markets

The paper aims to analyze the contagion effect coming from the developed stock markets of the US and Germany to the emerging CEE stock markets of Romania, Czech Republic, Hungary, and Poland using daily data for the period April 2005–April 2021. The paper also captures the level of integration of these emerging stock markets by analyzing the volatility spillover phenomenon. The quantification of the contagion effect coming from the developed to the emerging stock markets consisted of an empirical analysis based on the DCC-GARCH (Dynamic Conditional Correlation) model. Through this multivariate model, the time-varying conditional correlations were analyzed, both in periods of normal economic development and in times of economic instability, when there was a significant increase in the correlation coefficients between developed and emerging stock market indices. Furthermore, the level of connectedness between these markets has been analyzed using the volatility spillover index developed by Diebold and Yilmaz. The empirical results surprised the high level of integration of the analyzed stock markets in Central and Eastern Europe, with the intensity of volatility transmission between these markets increasing significantly during times of crisis. All stock market indices analyzed show periods during which they transmit net volatility and periods during which they receive net volatility, indicating a bidirectional volatility spillover phenomenon. Mostly, the BET, PX, and WIG indices are net transmitters of volatilities, whereas the BUX index is net recipient, except during the COVID-19 crisis, when it transmitted net volatility to the other three indices. Finally, using a Markov switching-regime VAR approach with two regimes, we explored the contagion effect between emerging CEE and developed stock markets during the COVID-19 pandemic. The empirical results proved a shift around the outbreak of the health crisis, after which the high volatility regime dominates the CEE markets. The contagion effects from developed stock markets to emerging CEE markets significantly increased during the first stage of the health crisis. © 2023 by the authors.

Integration of financial markets during COVID-19: a dynamic correlation analysis on Euronext

This article investigates the reaction of integrated financial markets to the COVID-19 pandemic. Using a dynamic conditional correlation model on Euronext Stock Exchange, I find that the integration of financial markets can act as a buffer against negative shocks such as COVID-19. However, this benefit begins to fade as the number of deaths from COVID-19 increases. In this case, a negative relationship with the dynamic correlation is found in some pairs of member countries.

Contagion Risk in Equity Markets During Financial Crises and COVID-19: A Comparison of Developed and Emerging Markets

This study compared the impact of the Global Financial Crisis (GFC) and the COVID-19 pandemic on financial market contagion between developed and emerging markets. A DCC-GARCH model was employed to test the contagion effects of developed and emerging markets using weekly returns for the S&P 500 (US), FTSE-100 (UK), ASX 200 (AUS), IBOVESPA (BRA), BSE SENSEX (IND) and BVM IPC (MEX). The results show that there was a persuasive case made for the integration of markets for efficient financial systems. A crisis occurring in one market holds significant repercussions for any of the connected markets. The findings show that the COVID-19 pandemic affected all the markets more severely than the GFC and contagion effects were more pronounced in emerging markets than in developed markets during the GFC and the pandemic. Consequently, policymakers in emerging markets should implement policies that reduce external vulnerabilities and improve their markets' stability to reduce the impact of contagion risk.

Is bitcoin a diversifier, hedge or safe haven for traditional and alternate asset classes?

Given the skyrocketing returns earned by bitcoin, it has received widespread attention as an investment asset. The shocks experienced by stock and bond markets over time and especially during the COVID-19 pandemic has led to an evaluation of bitcoin as a wealth protection asset, a role that gold has played until now. The current paper tests the hedging and safe haven properties of bitcoin in a broad portfolio of both developed and emerging markets stocks, bonds and real estate over a period of 10 years and during COVID-19 pandemic. Using a DCC-GARCH method, the study finds weak hedge and safe haven benefits of bitcoin. The results of the study establish that there is still a long way to go before bitcoin displays a strong safe haven behavior. However, there is a need for portfolio managers to become more cognizant about bitcoin given its potential to protect their portfolios.

A Safe-haven Property of Cryptocurrencies: Evidence in Vietnam Stock Market During Pandemic Crisis

The study investigates the dynamic correlation of cryptocurrencies and equity in Vietnam and tests the safe-haven property of them from the perspective of the stock market in Vietnam during the pandemic crisis by applying the dynamic conditional correlation (DCC) GARCH model and regression with a dummy variable, respectively. This study employs time series data on the daily dataset from September 2014 to September 2021 with the focus on the two most popular cryptocurrencies - Bitcoin and Litecoin. The results show that the dynamic conditional correlations between cryptocurrencies and equity in Vietnam increased during the pandemic, however, in most periods, positive dynamic correlations often dominate. Besides, the regression results also indicate that Bitcoin and Litecoin act as weak safe-haven investments for stocks in Vietnam during the COVID-19 turmoil. They are more suitable for diversification purposes although the dynamic correlations between them and the stock index in Vietnam vary stronger during the pandemic crisis than before. The findings of this study suggest that in the period of pandemic crisis, cryptocurrencies are not concerned as effective safe-haven assets for stock in Vietnam. Instead, cryptocurrencies are only playing a potential role in diversification benefit in this economy.

Contagion effect of the USA market on Latin American financial markets during the COVID-19 pandemic

This paper analyses the contagion effect on Latin American markets and the United States during the COVID-19 pandemic using the DCC-GARCH model. The main finding is the determination of the existence of a statistically significant contagion effect between the US and the markets of Chile, Peru, Colombia, Mexico, and Brazil during the crisis period, implying that these markets were exposed to external shocks during the COVID-19 pandemic. Particularly, Mexico and Brazil have a stronger link to the U.S. market. In addition, the volatility of the U.S. market has a significant effect on the conditional correlations of the Latin American markets.

Efecto contagio del mercado estadounidense a los mercados financieros latinoamericanos durante la pandemia por COVID-19

Este artículo analiza el efecto contagio de los mercados latinoamericanos y Estados Unidos durante la pandemia por COVID-19, utilizando el modelo DCC-GARCH. El principal hallazgo es la existencia de un efecto contagio, estadísticamente sig­nificativo, durante el periodo de crisis entre EE.UU. y los mercados de Chile, Perú, Colombia, México y Brasil. Ello implica que estos mercados se encontra­ron expuestos a choques externos en la pandemia por COVID-19. Particularmente, México y Brasil presentan un mayor vínculo con el mercado estadounidense. Ade­más, la volatilidad del mercado de EE. UU. tiene un efecto significativo en las correlaciones condicionales de los mercados latinoamericanos. Alternate : This paper analyses the contagion effect on Latin American markets and the United States during the COVID-19 pandemic using the DCC-GARCH model. The main finding is the determination of the existence of a statistically significant contagion effect between the US and the markets of Chile, Peru, Colombia, Mexico, and Bra­zil during the crisis period, implying that these markets were exposed to external shocks during the COVID-19 pandemic. Particularly, Mexico and Brazil have a stronger link to the U.S. market. In addition, the volatility of the U.S. market has a significant effect on the conditional correlations of the Latin American markets.

Assessing the impact of COVID-19 on major industries in Japan: A dynamic conditional correlation approach.

This study assesses the impact of the novel coronavirus disease (COVID-19) cases on the Japanese stock market. As of October 30, 2020, the cumulative number of cases in Japan has reached over one hundred thousand. COVID-19 has significantly affected both the lifestyle and the economy in Japan. First, this study develops composite stock indices by industry sector and prefecture, taking into consideration the effects of the increase in infections on industries and firms in the core prefectures. Second, this study investigates the dynamic conditional correlations between the composite stock index returns and the increment in COVID-19 cases using dynamic conditional correlation multivariate GARCH models. Finally, it can contribute to financial research in terms of coexistence of regional business economies with COVID-19.

How has the relationship between oil and the US stock market changed after the Covid-19 crisis?

In this paper, we investigate how the relationship between oil and the US stock market has changed after the onset of Covid-19 crisis. To do so, we compute upside and downside correlations between the two markets. Our findings are as follows. First, we document the correlation asymmetry: the downside correlation is higher than the upside correlation. Second, we find that both upside and downside correlations increased after the crisis. This indicates that after the start of the Covid-19 crisis, a positive (negative) oil shock is even better (worse) news for the stock market than an equivalent shock before the crisis.