Asymmetric information flow to G7 and Nordic equities markets during COVID-19 pandemic

PurposeThis paper investigates the probable differential impact of the confirmed cases of COVID-19 on the equities markets of G7 and Nordic countries to ascertain possible interdependencies, diversification and safe haven prospects in the era of the COVID-19 pandemic over the short-, intermediate- and long-term horizons.Design/methodology/approachThe authors apply a unique methodology in a denoised frequency-domain entropy paradigm to the selected equities markets (Li et al. 2020).FindingsThe authors' findings reinforce the operability of the entrenched market dynamics in the COVID-19 pandemic era. The authors divulge that different approaches to fighting the pandemic do not necessarily drive a change in the deep-rooted fundamentals of the equities market, specifically for the studied markets. Except for an extreme case nearing the end (start) of the short-term (intermediate-term) between Iceland and either Denmark or the US equities, there exists no potential for diversification across the studied markets, which could be ascribed to the degree of integration between these markets.Practical implicationsThe authors' findings suggest that politicians should pay closer attention to stock market fluctuations as well as the count of confirmed COVID-19 cases in their respective countries since these could cause changes to market dynamics in the short-term through investor sentiments.Originality/valueThe authors measure the flow of information from COVID-19 to G7 and Nordic equities using the entropy methodology induced by the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), which is a data-driven technique. The authors employ a larger sample period as a result of this, which is required to better comprehend the subtleties of investor behaviour within and among economies - G7 and Nordic geographical blocs - which largely employed different approaches to fighting the COVID-19 pandemic. The authors' focus is on diverging time horizons, and the ICEEMDAN-based entropy would enable us to measure the amount of information conveyed to account for large tails in these nations' equity returns. Furthermore, the authors use a unique type of entropy known as Renyi entropy, which uses suitable weights to discern tailed distributions. The Shannon entropy does not account for the fact that financial assets have fat tails. In a pandemic like COVID-19, these fat tails are very strong, and they must be accounted for.

Can treasury inflation-protected securities safeguard investors from outward risk spillovers? A portfolio hedging strategy through the prism of COVID-19

Documenting the interlinkages among assets that are widely used to hedge against inflation is crucial for investors, as the necessity to protect the investment portfolio is stronger under inflationary conditions. For this purpose, we investigate the volatility spillovers between treasury inflation-protected securities (TIPS) and a battery of other assets perceived as inflation hedges, including bonds, gold, real estate, oil and equities. The applied methodology comprehends the time-varying parameter vector autoregressive (TVP-VAR) extension of the Diebold and Yilmaz (Int J Forecast 28:57–66, 2012, 10.1016/j.ijforecast.2011.02.006) approach for the period 1/1/2010–3/31/2022. Our results indicate that the assets under consideration are moderately interconnected and subjected to several exogenous shocks, such as the US–China trade war, the COVID-19 pandemic and the Russia–Ukraine war. Furthermore, we assess the hedging effectiveness of TIPS against each asset by estimating hedge ratios and optimal portfolios weights, before and after the spread of COVID-19 pandemic, by using conditional variance estimations (DCC-GARCH). The empirical findings show that the short position in the volatility of TIPS is proved to be an excellent hedge for all the sampled assets, with the exception of short-term Treasury bonds, and their hedging ability was improved during COVID-19.

Measuring Dependence in a Set of Asset Returns

An index measuring the degree of dependence in a set of asset returns is defined as the ratio of an equivalent number of independent assets to the number of assets. The equivalence is based on either attaining the same optimized value enhancement or spread reduction. The value enhancement is the difference in value of a value maximizing portfolio and the maximum value delivered by the components. The spread reduction is the percentage reduction attained by a spread minimizing portfolio relative to the smallest spread for the components. Asset values or bid and ask prices of portfolios, are modeled by conservative valuation operators from the theory of two price economies. The dependence indices fall with the number of assets in the portfolio and they are explained by a measure of concentration applied to normalized eigenvalues of the correlation matrix along with the average level of correlation, the level of the (Rudin and Morgan, 2006) portfolio diversification index and the number of assets in the portfolio. A time series of the indices constructed on the basis of the S&P 500 index and the nine sector ETF's reveals a collapse during the financial crisis with no recovery until 2016, with a peak in February 2020 and a COVID crash in March of 2020. Furthermore, factor dependence benefits are richer than those found in equity indices. Dependence benefits across global indices are not as strong as dependence benefits across an equal number of domestic assets, but they rise substantially for longer horizons of up to three years.

How precisely European equity ETFs mirror their flagship benchmarks? Evidence from funds replicating performance of Euro Stoxx 50 Index

The main goal of the article is to examine the tracking efficiency of a homogenous sample of 14 ETFs listed on European exchanges, replicating the performance of Euro Stoxx 50 Index—a benchmark index for blue chips from the euro area. This study provides some insights into the tracking quality of European ETFs over the long time horizon (2012–2021 period) including data from entire business cycle: both economic prosperity and COVID-19 crisis. The study has been made applying different tracking error calculation techniques and return intervals—daily, weekly and monthly. Passive investing may be a highly desirable, cheap and accurate method for long or short term investments in the largest 50 cap companies in the euro zone. Hence, this unique research may help to succeed in ETF selection process. The study reveals that ETFs are very effectively managed by keeping the TEs below 0.3% (for ETFs with accumulating share classes) and below 1% (for ETFs with distributing share classes). This shows that the ETFs with accumulating share classes perform much better—the average TE for three different methods is 0.11% for accumulating share classes ETFs and 0.33% for distributing share classes ETFs. It proofs, that it is not important whether to use the standard deviation of the difference between the return of an ETF and that of its benchmark index, or the standard error of regression in TE assessment, both methods give very similar results. However, TE calculation method signifies, if the average of the absolute difference between the return of an ETF and that of the index is used. Additionally, it is found that time intervals used in TE calculations matter—the shift from monthly to daily intervals results in reduction of TE levels. Using shorter intervals brings lower TE values of European ETFs.

Sectoral volatility spillovers and their determinants in Vietnam

Using the vector autoregression (VAR) connectedness approach, this paper investigates dynamic volatility spillovers across 14 sectors in Vietnam's stock market over the period 2012–2021. The study also explores the differences in sectoral spillovers before and after the outbreak of Covid-19 pandemic. Additionally, the paper also investigates the effects of the current pandemic and macroeconomic fundamentals on intersectoral connectedness in Vietnam. Our findings show that volatility transmission across sectors fluctuates significantly over the research period and spikes during the Covid-19 pandemic. The total spillover index is approximately 64.23 per cent, indicating that volatility spillovers across the Vietnamese sectors are substantial. The risks from the stock market appear to spread quickly and easily across sectors in Vietnam. Among these 14 sectors, food, fisheries, and oil and gas act as net senders of risks while real estate and pharmacy are the greatest receivers of risk. The findings also confirm that the commerce, transportation, manufacturing, and service sectors are more sensitive to the Covid-19 pandemic crisis than other sectors in Vietnam. Furthermore, the empirical results show that an increase in daily Covid-19 infections increases volatility spillover across sectors. Policy implications have emerged based on these findings from this paper for the Vietnamese government and other emerging countries.

COVID-19 pandemic and capital markets: the role of government responses

This paper analyzes the moderation effect of government responses on the impact of the COVID-19 pandemic, proxied by the daily growth in COVID-19 cases and deaths, on the capital market, i.e., the S&P 500 firm's daily returns. Using the Oxford COVID-19 Government Response Tracker, we monitor 16 daily indicators for government actions across the fields of containment and closure, economic support, and health for 180 countries in the period from January 1, 2020 to March 15, 2021. We find that government responses mitigate the negative stock market impact and that investors' sentiment is sensitive to a firm's country-specific revenue exposure to COVID-19. Our findings indicate that the mitigation effect is stronger for firms that are highly exposed to COVID-19 on the sales side. In more detail, containment and closure policies and economic support mitigate negative stock market impacts, while health system policies support further declines. For firms with high revenue exposure to COVID-19, the mitigation effect is stronger for government economic support and health system initiatives. Containment and closure policies do not mitigate stock price declines due to growing COVID-19 case numbers. Our results hold even after estimating the spread of the pandemic with an epidemiological standard model, namely, the susceptible-infectious-recovered model.

Volatility Spillovers Among the Three Places Across the Taiwan Strait: Evidence from a BEKK-CARR Approach*

This study introduces a new BEKK-CARR model to explore the volatility spillover effects among mainland China, Hong Kong, and Taiwan stock markets during the COVID-19 pandemic. We also extend the approach of Diebold and Yilmaz (2009, 2012) to infer a brand-new volatility spillover index to discuss the bi-directional volatility transmission. Our results show that the trading information flow among these three markets has changed significantly as a result of the COVID-19 pandemic. The strength of volatility spillover is increasing during this momentous period. The Hong Kong stock market plays a pivotal role in volatility transmission. The values for half-lives by exogenous shocks keep relatively low during the pandemic period. A reasonable explanation is that the trading information transmissions among stock markets are quicker than in the non-pandemic period. © 2023 The Authors. Asia-Pacific Journal of Financial Studies published by John Wiley & Sons Australia, Ltd on behalf of Korean Securities Association.

Sectoral volatility spillovers and their determinants in Vietnam

Using the vector autoregression (VAR) connectedness approach, this paper investigates dynamic volatility spillovers across 14 sectors in Vietnam's stock market over the period 2012–2021. The study also explores the differences in sectoral spillovers before and after the outbreak of Covid-19 pandemic. Additionally, the paper also investigates the effects of the current pandemic and macroeconomic fundamentals on intersectoral connectedness in Vietnam. Our findings show that volatility transmission across sectors fluctuates significantly over the research period and spikes during the Covid-19 pandemic. The total spillover index is approximately 64.23 per cent, indicating that volatility spillovers across the Vietnamese sectors are substantial. The risks from the stock market appear to spread quickly and easily across sectors in Vietnam. Among these 14 sectors, food, fisheries, and oil and gas act as net senders of risks while real estate and pharmacy are the greatest receivers of risk. The findings also confirm that the commerce, transportation, manufacturing, and service sectors are more sensitive to the Covid-19 pandemic crisis than other sectors in Vietnam. Furthermore, the empirical results show that an increase in daily Covid-19 infections increases volatility spillover across sectors. Policy implications have emerged based on these findings from this paper for the Vietnamese government and other emerging countries.

Stock market integration and volatility spillovers: new evidence from Asia-Pacific and European markets

PurposeThis work investigates the volatility spillovers across stock markets and the nature of such spillovers through different periods of crises and tranquility.Design/methodology/approachUsing daily stock return volatility data from June 2003 to June 2021, the generalized forecast error variance decomposition method (based on Diebold and Yilmaz, 2012 approach) is employed to measure the degree of volatility spillovers/connectedness among stock markets of 24 Asia-Pacific and 12 European Union (EU) economies.FindingsThe empirical results from static analysis suggested that about 28.1% (63.7%) of forecast error variance in return volatility for Asia-Pacific (EU) markets is due to spillovers. The evidence from dynamic analysis suggested that during mid of the global financial crisis, European debt crisis (EDC) and Covid-19, the gross volatility spillovers for Asia-Pacific (EU) was around 67% (80%), 65% (80%) and 73% (67%), respectively. The degree of net volatility transmission from Singapore (Denmark) to other Asia-Pacific (EU) markets was found to be highest.Practical implicationsThe findings have crucial implications for the investors and portfolio managers in assessment of risk and optimum allocation of assets and investment decisions.Originality/valueThis study adds to the literature on risk management by systematically examining the impact of global financial crises, EDC and Covid-19 on the market interactions by capturing the magnitude, duration and pattern of the shock-specific market volatilities for a large sample of Asian and European markets using recent and large data set.

COVID-19 related stringencies and financial market volatility: sectoral evidence from India

PurposeThis study aims to examine the impact of the stringency of COVID-19 protocols on the volatility of sectoral indices during the period 03:2020-05:2021. Specifically, this study investigates the role of economic disturbances on sectoral volatility by applying a range of conditional volatility techniques. Design/methodology/approachFor this analysis, two approaches were adopted. The first approach considers COVID stringency as a factor in the conditional variance equation of sectoral indices. In contrast, the second approach considers the stringency indicator as a possible determinant of their estimated conditional volatility. FindingsResults show that the stringency of the protocols throughout the pandemic phase led to an instantaneous spike followed by a gradual decrease in estimated volatility of all the sectoral indices except pharma and health care. Specific sectors such as bank, FMCG, consumer durables, financial services, IT, media and private banks respond to protocols expeditiously compared to other sectors. Originality/valueThe key contribution of this study to the existing literature is the innovative approach. The inclusion of the COVID stringency index as a regressor in the variance equation of the conditional volatility techniques was a distinctive approach for assessing the volatility dynamics with the stringency of COVID protocols. Furthermore, this study also adopts an alternative approach that estimates the conditional volatility of the indices and then tests the effect of the stringencies on estimated volatility in a regression framework.

The hedging role of US and Chinese stock markets against economic and trade policy uncertainty: lessons from recent turbulences

PurposeThis study analyses the impact of economic and trade policy uncertainty on US and Chinese stock markets. Also, this study examines the hedge and safe-haven properties of US and China stocks against both US and Chinese economic and trade policy uncertainty.Design/methodology/approachTo achieve the desired goals, the authors employ Dynamic Conditional Correlation through Glosten et al. (1993) model based on the Generalized Autoregressive Conditional Heteroscedasticity (DCC-GJR-GARCH (1, 1)) and Quantile cross-spectral (QS) models. The study uses monthly observations spanning from March 2010 to June 2022.FindingsThis study evidence that the economic and trade policy uncertainty between USA and China is extremely sensitive and has high volatility clustering effects on DJChina88 and DJUS, respectively. Conversely, against the Chinese economic and trade policy uncertainty, the US stock market indexes show both hedging properties across the period and safe-haven during COVID-19 and Russia-Ukraine crises. In contrast, among the Chinese stock markets, only DJShenzhen and DJShanghai stock indices might provide strong hedging and safe-haven properties against the US economic and trade policy uncertainties;however, DJShenzhen (DJChina88) stock shows weak hedge and safe-haven properties (hedging benefits) against Chinese trade policy uncertainty (CTPU) (Chinese economic policy uncertainty [CEPU]).Practical implicationsThe findings have significant implications for investors, portfolio managers and regulators in hedging and making proper decisions under uncertain circumstances.Originality/valueThe study extends the literature on stock market performance to cover the economic and trade policy uncertainty by providing novel evidence during the recent COVID-19 and Russia-Ukraine invasion.

The MAX puzzle in a frontier market before and during the Covid-19 pandemic

This study analyses the MAX anomaly in a frontier market before and during the Covid19 pandemic. Our sample has 39,673 firm-month observations of non-financial firms in Vietnam from 2008 to 2021. Using the Carhart four-factor model augmented with MAX anomaly, Fama-Macbeth two-step estimations, and portfolio analyses, we report the persistence of the MAX puzzle in Vietnam before and during the Covid-19 pandemic. The arbitrary returns between the highest and lowest MAX portfolios are around 1% per month. Finally, our results report that the MAX anomaly is subsumed by the IVOL anomaly, while the skewness fails to explain the MAX anomaly. Our findings align with the anchoring theory, prospect theory, and prior literature. Our findings align with the anchoring theory, prospect theory, and prior literature. Our study suggests that policymakers improve market transparency to protect retail investors. [ FROM AUTHOR] Copyright of Investment Analysts Journal is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Islamic equity funds and stock market: dynamic relation and market timing during the COVID-19 outbreak

Purpose This paper aims to explore the impact of the COVID-19 pandemic on the market timing skills of Islamic equity funds in Asia, Europe and North America. Design/methodology/approach The authors employed a two-step process. First, a Granger causality test is applied to test the bivariate relationship between Islamic fund indices and stock market ones by highlighting the impact of the COVID-19 pandemic. Second, the methodology of Treynor and Mazuy (1966) is deployed to account for the market timing abilities skills of Islamic fund managers during the pandemic period. Findings The investigation revealed mixed results. The European Islamic funds were positively impacted by the stock market as well as by the COVID-19 pandemic context. Additionally, compared to their Asian and North American peers, only European Islamic fund managers have the ability to time the market during the health crisis period. Research limitations/implications Despite its contribution to the Islamic finance literature, this study has some flaws. Indeed, the selected sample of three regions, namely Asia, Europe and North America, precludes extrapolating these conclusions. Other regions should be investigated to further our understanding of Islamic equity funds. Furthermore, due to data availability and accessibility, the study period was limited to a specific time of the COVID-19 pandemic. This shortcoming can be addressed through a multiwave investigation, especially since each region was exposed differently to the pandemic. Practical implications The paper provides scholars, portfolio managers and investors with insights regarding the investment dilemma during the COVID-19 pandemic period, especially for those wishing to hedge their pandemic risk exposure and/or diversify their portfolios. Equally, the depiction of potential market timing abilities of Islamic fund managers across the three regions would serve as a guide to identifying the most suitable internationally focused investment strategy. Social implications The paper provides scholars, portfolio managers and investors with insights regarding the investment dilemma during the COVID-19 pandemic period, especially for those wishing to hedge their pandemic risk exposure and/or diversify their portfolios. Equally, the depiction of potential market timing abilities of Islamic funds managers across the three regions would serve as a guide to identify the most suitable internationally focused investment strategy. Originality/value The originality of this investigation is that it is the first to examine Islamic equity fund managers and their skills to time the stock markets during the COVID-19 pandemic period in Asia, Europe and North America. The current paper extends the Islamic finance literature.

Pandemic, Precautionary Saving, and Household Portfolio Choice: Evidence from China

We examine the short-term impact of the COVID-19 pandemic on household asset allocation in China. The results show that in the first quarter of 2020, households generally save more. Basically, higher regional risk generates stronger motivation to increase precautionary savings. Households generally adapt to more conservative asset allocation strategies, the demand for low-risk asset increases, while the demand for high-risk and high-liquidity asset decreases. We find significant regional differences in household allocation strategies for high-risk and low-risk assets. These results could be due to the regional heterogeneity of time allocations. © 2022 Taylor & Francis Group, LLC.

Stock market reactions of Malaysian firms and industries towards events surrounding COVID-19 announcements and number of confirmed cases

Purpose This paper aims to examine the stock market reactions of firms and industries in Malaysia to the government's COVID-19 movement control order (MCO) announcement. As China is Malaysia's leading trading partner, the authors also observe if the Chinese Government's confirmation of human-to-human coronavirus transmission affects firms' stock market reactions. In addition, this study examines whether the Malaysian Government's ease of restrictions on economic activities affects firms' stock market reactions. Finally, this study analyses the effect of COVID-19 number of confirmed cases on firms' abnormal returns. Design/methodology/approach This study uses an event study methodology to determine the abnormal returns between day -30 to day 30 of the announcements. In addition, this study uses the regression estimation to determine whether the COVID-19 number of confirmed cases explain the abnormal returns. Findings This study finds that investors react negatively to the announcement of the MCO and confirmation of the human-to-human transmission of coronavirus over the event windows. However, the cumulative average abnormal returns (CAARs) started to recover when stimulus packages were introduced, and the lockdown measures were eased, allowing businesses to reopen. This study also finds that only firms in the health-care sector reported significant positive CAARs. Stock returns of the utilities and telecommunication firms showed no changes, while eight other sectors fell remarkably. The results also show that the COVID-19 number of confirmed cases adversely affects firms' abnormal returns. Practical implications This study suggests that stock prices incorporate bad and good news surrounding the announcements of major international and local events related to the COVID-19 pandemic. Thus, investors should consider such factors in making investment decisions. Originality/value To the best of the authors' knowledge, this paper is one of the early research works investigating the stock market reactions to the COVID-19 major announcements (MCO, human-to-human transmission and ease of restrictions on economic activities) using an event study methodology in an emerging market, namely, Malaysia. This study is timely in light of the recently increasing calls for researchers to analyse the potential economic impacts of COVID-19 on global capital markets, especially in emerging markets whose evidence is scarce.

Are ESG indexes a safe-haven or hedging asset? Evidence from the COVID-19 pandemic in China

Purpose The aim of the paper is to investigate the risk-hedging and/or safe haven properties of environmental, social and governance (ESG) index during the COVID-19 in China. Design/methodology/approach This paper employs the DCC, VCC, CCC as well as Newey-West estimator regression. Findings The findings provide empirical evidence of the risk hedging properties of ESG indexes as well as of the environmental, social and governance thematic indexes during the outbreak of the COVID-19 crisis. The results also support the superior risk hedging properties of ESG indexes over cryptocurrency. However, the authors do not find any safe haven properties of ESG, Bitcoin, gold and West Texas Intermediate (WTI). Practical implications The paper offers therefore, practical policy implications for asset managers, central bankers and investors suggesting the pandemic risk-hedging opportunities of ESG investments. Originality/value The study represents one of the first empirical contributions examining safe-haven and hedging properties of ESG indexes compared to traditional and innovative safe haven assets, during the eruption of the COVID-19 crisis.

Extreme dependence and risk spillover across G7 and China stock markets before and during the COVID-19 period

Purpose The paper analyzes downside and upside risk spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic. Design/methodology/approach By using VAR-ADCC models and conditional value at risk (CoVaR) techniques, downside and upside risk spillovers between stock markets of G7 countries and China are analyzed before and during the COVID-19 pandemic. Findings The results suggested existence of a significant and asymmetrical two-way risk transmission between majority of pair markets, but the degree of asymmetry differs according to the use of the entire cumulative distributions or distribution tails. Downside and upside risk spillovers are significantly larger before the COVID-19 pandemic in all cases except between CAC 40/DAX and S&P/SSE pairs. Originality/value The paper used CoVaR and delta-CoVaR to investigate the downside and upside spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic.

Are ESG stocks safe-haven during COVID-19?

Purpose The purpose of this study is to investigate safe-haven properties of environmental, social and governance (ESG) stocks in global and emerging ESG stock markets during the times of COVID-19 so that portfolio managers and equity market investors could decide to use ESG stocks in their portfolio hedging strategies during times of health and market crisis similar to COVID-19 pandemic. Design/methodology/approach The study uses a wavelet coherence framework on four major ESG stock indices from global and emerging stock markets, and two proxies of COVID-19 fear over the period from 5 February 2020 to 18 March 2021. Findings The results of the study show a positive co-movement of the global COVID-19 fear index (GFI) with ESG stock indices on the frequency band of 32 to 64 days, which confirms hedging and safe-haven properties of ESG stocks using the health fear proxy of COVID-19. However, the relationship between all indices and GFI is mixed and inconclusive on a frequency of 0-8 days. Further, the findings do not support the safe-haven characteristics of ESG indices using the market fear proxy (IDEMV index) of COVID-19. The robustness analysis using the CBOE VIX as a proxy of market fear supports that ESG indices do not possess safe-haven properties. The results of the study conclude that the safe-haven properties of ESG indices during the ongoing COVID-19 pandemic is contingent upon the proxy of COVID-19 fear. Practical implications The findings have important implications for the equity investors and assetty managers to improve their portfolio performance by including ESG stocks in their portfolio choice during the COVID-19 pandemic and similar health crisis. However, their investment decisions could be affected by the choice of COVID-19 proxy. Originality/value The authors believe in the originality of the paper due to following reasons. First, to the best of the knowledge, this is the first study investigating the safe-haven properties of ESG stocks. Second, the authors use both health fear (GFI) and market fear (IDEMV index) proxies of COVID-19 to compare whether safe-haven properties are characterized by health fear or market fear due to COVID-19. Finally, the authors use the wavelet coherency framework, which not only takes both time and frequency dimensions of the data into account but also remains unaffected by data stationarity and size issues.

The gold-stock market relationship during COVID-19.

The belief that investors shift to gold during times of economic stress, resulting in a negative correlation between gold returns and stock returns, is not supported in both the 2007-09 financial crisis and during COVID-19. However, the gold-stock market relationship is positive in periods of negative real rates of return. The evidence points to gold as a safe haven in times of stock market volatility and negative interest rates.