Herding behaviour in Turkish stock market sector indices: the effect of COVID-19 outbreak

Within the framework of isolation and social distance rules, the most important method of avoiding the COVID-19 virus, has taken place in the social life and the economic activities of people. The COVID-19 outbreak has driven uncertainty in all financial markets, and also recent studies have determined a direct relationship between the irrational decisions of investors and the pandemic. After the COVID-19 outbreak, principally, the herding behaviour has been observed in almost all the emerging stock markets. We analysed the sixteen Borsa Istanbul sector indices using the methodology of Chang et al. (2000). During the COVID-19 outbreak, we validated the existence of herding behaviour in the food, beverage, and banking sectors. Besides, we found evidence of herding behaviour in most of the sectors in upmarket conditions, while we confirmed only in the Food, Beverage sector in both the up and down market conditions. Copyright © 2022 Inderscience Enterprises Ltd.

Do Banking and Financial Services Sectors Show Herding Behaviour in Indian Stock Market Amid COVID-19 Pandemic? Insights from Quantile Regression Approach

In India, the coronavirus (COVID-19) pandemic-induced country-wide regulatory lockdown and consequential supply-chain disruptions and market instability have all posed serious challenges before the regulators and policymakers. Amid the pandemic, the stock market showed return volatilities primarily due to the unexpected investors' behaviour. One of the behavioural biases is herding, which has the power to wreck the market equilibrium and shatter the market efficiency. Given that the pandemic has generated unprecedented spirals of uncertainties across the globe, thereby creating interruptions in the pattern of stock market investment decisions, this study examined the herding behaviour of 54 stocks of banking and financial services sectors listed in the national stock exchange. In the quantile regression framework, the study provides evidence of the presence of herding for public sector banking and financial services under the bull market conditions during the pandemic in the 90th quantile of the return distribution. This finding has implications for the mispricing of financial assets in these sectors. So, the study suggests removing information asymmetry among the market participants and devising policy initiatives for ensuring market stability. © 2023 Association of Asia Scholars.

Asymmetric Effect of Investors Sentiments on Herding Behavior and Stock Returns: Pre and Post Covid-19 Analysis

The study investigates the asymmetric effect of investors sentiments on herding behavior and stock returns of S&P 500 markets during pre and post covid 19. We analyze daily data from May 15, 2000 (Pre Covid) to 20 Feb 2020 and form 20 Feb to –13 May, 2022 (Post Covid). We conduct Modified multiple regression Analysis by introducing investors sentiments proxy i.e., trading volume into the Chang et al., (2000) herding model named as cross-sectional absolute deviation along with Vector Autoregressive Regression and Granger Causality tests. We establish that trading volume increases herding asymmet-ric. Post COVID-19 has significant negative effects on herding behaviour. The findings illustrate that COVID-19 increased herding behavior in S&P 500 markets and became more intensified during COVID-19, which contributes to ac-centuate and elongate it. The study also documents significant positive effect of investor sentiment on stock returns, whereas COVID-19 has negative effect on S&P 500 stock returns. We propose that investor sentiments may present extrapolative or predictive feature of herding behaviour. The study will be ben-eficial to shape an understanding of different dynamics associated with portfolio and market in-efficiency, trading strategies as well as risk management perspective. © 2023, Economic Laboratory for Transition Research. All rights reserved.

An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach

This study investigates the effects of the COVID-19 pandemic on herding behaviour among investors in two well-developed markets. Utilizing daily prices of stock indexes from the period of December 5, 2017 to February 28, 2022 for USA and January 9, 2018 to February 28, 2022 for UK, we test for herding behaviour using the quantile regression approach in addition to the OLS model. We found no evidence of herding before the COVID-19 pandemic in both bullish and bearish markets for USA and UK. However, herding incidence was discovered in the USA and UK bullish market during the COVID-19 period. In the bearish market, herding behaviour was only found during the COVID-19 period in USA. The study provides policymakers and investors with information to draw significant measures in their investment portfolio management during crises and pandemics. © 2023, Academy of Economics and Finance.

Asymmetrical herding in cryptocurrency: Impact of COVID 19

This paper examines the evidence of herding in the revolutionary cryptocurrency market for the period from January 2017 to December 2020. The study employs quantile regression technique for investigating herd behaviour during market asymmetries of rising and falling returns, extreme market returns, high volatility, and the exogenous event of the COVID-19 pandemic. The results provide evidence of pronounced herding during the bull phase, extreme down-markets, and high volatility. These results indicate that herd hunch is prevalent in the cryptocurrency market as investors exhibit imitation while ignoring their own knowledge and beliefs. Also, the phenomenon is more vividly observed during the panic period of COVID-19.

Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage

This paper examines herding behavior in the cryptocurrency market during the COVID-19 pandemic using daily data and based on static and regime-switching models. Furthermore, we investigate whether herding behavior is affected by the coronavirus media coverage. Based on a sample of the top-43 cryptocurrencies in terms of market capitalization between 2013 and 2020, we find significant evidence of herding for the entire sample period only during high volatility state. Moreover, during the COVID-19 crisis, results suggest that investors in the cryptocurrency market follow the consensus. Finally, the impact of coronavirus media coverage is significant on herding among investors, explaining such behavior in the cryptocurrency market during the COVID-19 crisis. Our findings explain herding determinants that may help investors avoid such comportment, mainly during the crisis.

The COVID-19 pandemic and herding behaviour among investors in Shariah-compliant stocks

Purpose This paper aims to investigate whether the COVID-19 pandemic leads to the formation of herding behaviour among investors in Shariah-compliant stocks. Design/methodology/approach This study uses a sample of the stocks that constitute the Dow Jones Islamic Market Malaysia Titans 25 Index, over the period from 6 December 2017 to 12 March 2021. Findings This paper provides robust evidence on the contribution of the COVID-19 pandemic to the formation of herding behaviour in Shariah-compliant stocks. The findings also reveal that herding behaviour occurs only during falling market. Research limitations/implications The findings provide useful implications for policymakers and portfolio managers seeking to understand the behaviour of investors in Shariah-compliant stocks during turbulent periods. The presence of herding behaviour begs the question on the market efficiency and limits its potential to offer diversification benefits to investors. The findings suggest that policymakers and investors should mitigate misvaluations that occurred during the COVID-19 outbreak because the herding behaviour can drive stock prices away from their equilibrium values. Thus, regulators should adopt appropriate policies to enable the market to reach a more efficient level by monitoring and improving the quality of information and facilitate their transmission to the market. The misevaluation opportunity enables market timers to sell overpriced stocks and purchase underpriced stocks. The findings also imply that investors should implement effective hedging strategies to mitigate the downside risk. In addition, the results suggest that investors should devise their trading strategies in falling and rising markets during the COVID-19 pandemic. Originality/value There is meagre literature on the effect of the COVID-19 outbreak on the formation of herding behaviour among investors. Studies conducted on herd behaviour are widely focused on Shariah non-compliant stocks, only a few ones deal with Shariah-compliant stocks. The novelty of this paper consists in addressing this gap in the literature through examining the presence of herding behaviour on the part of investors in Shariah-compliant stocks in Malaysia before and after the COVID-19 outbreak.

Time-varying herding spillover for emerging countries: evidence from BRIC countries and Turkey

Purpose This study aims to investigate herding spillover in BRIC (Brazil, Russia, India and China) countries and Turkey under different regimes by using a time-varying approach. Design/methodology/approach The authors used the structural change model of Bai and Perron (1998). Findings The results indicate that there is an evidence of herding behaviour in the Chinese stock market in two different regimes. These regimes cover the recent global financial crisis and the period of Hong Kong protests. We also report the evidence of herding behaviour in the Turkish stock market in the regime covering the COVID-19 period. Findings of herding spillover show that there is a two-way herding among Russia and China during crises and high volatile regimes. Similarly, there exists a cross-country herding among Brazil and India during crisis regimes. Also, there is herding spillover from Turkey to Russia, China and Brazil during the global financial crisis, post-European debt crisis and COVID-19 periods respectively. Furthermore, it is also evident that there is a herding spillover from Russia and China to India during the period covering COVID-19. Originality/value To the best of the authors' knowledge, this is the first study that uses structural change approach to identify herding behaviour spillovers from the US stock market to BRIC countries and Turkey and to investigate the cross-country herding behaviour among BRIC countries and Turkey.

Herding behaviour in the Islamic bank market: evidence from the Gulf region

Purpose: This study examines herding in Islamic bank equity markets under various market conditions (up/down, high/low trading and high/low volatility) and during events such as Organization of the Petroleum Exporting Countries (OPEC) meeting days, Ramadan, the Gulf Cooperation Council (GCC) crisis of 2017 and the COVID-19 pandemic. The authors also look at the impact of rising and falling oil prices on herding behaviour. Design/methodology/approach: This study uses the model of Chang et al. (2000) to estimate herding behaviour in the Islamic bank markets. Findings: First, the authors estimate herding at the GCC region level, and the results reveal an absence of herding under all market conditions and during all the events considered, except for the GCC crisis of 2017. Second, the authors investigate herding in four Gulf countries (Saudi Arabia, United Arab Emirates [UAE], Qatar and Kuwait) separately and find that herding is evident in all these countries during various market conditions. During Ramadan, herding appears in the Saudi Arabia and Kuwait Islamic bank equity markets. Herding is not prevalent during OPEC meeting days in any of the markets, whereas herding is evident in Saudi Arabia, UAE and Kuwait Islamic bank equity markets during the GCC crisis of 2017 and the COVID-19 pandemic. Lastly, the rising and falling oil prices do not influence herding at either GCC region or country level. Practical implications: From the practitioner's perspective, this study provides useful insights for investors in Islamic banks and policymakers, in terms of asset pricing, portfolio diversification, trading strategies and market stability. Originality/value: Many studies explore herding in the equity markets of Muslim majority countries, but not specifically in the Islamic bank market. This study fills this literature gap by comprehensively examining herding in Islamic bank equity markets under various market conditions (up/down, high/low trading and high/low volatility) and during events, such as OPEC meeting days, Ramadan, the GCC crisis of 2017 and the COVID-19 pandemic. © 2022, Emerald Publishing Limited.

COVID-19 effect on herding behaviour in European capital markets.

This article investigates whether COVID-19 pandemic had an effect on herding behaviour in Europe. Using a sample from the stock exchanges of France (Paris), Germany (Frankfurt), Italy (Milan), United Kingdom (London) and Spain (Madrid), over the period from January 03, 2000 to June 19, 2020, we found robust evidence that COVID-19 pandemic increased herding behaviour in the capital markets of Europe.

Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19.

Environmental change created worldwide interest in investing in renewable energy. Less reliance on fossil fuels would have a substantial influence on investors for alternative energy, especially renewable energy. The literature has concentrated on empirical studies of herding behaviour in finance, but not in renewable energy. This paper fills the gap by investigating herding in renewable energy, using daily closing prices in renewable and fossil fuel energy stock returns in the USA, Europe, and Asia, for March 24, 2000-May 29, 2020, which covers the Global Financial Crisis (GFC) (2007-2009), the coronavirus crises of SARS (2003). And the ongoing COVID-19 (2019-2020) pandemic. The paper shows that: (1) for low extreme oil returns, investors are more likely to display herding in the stock market; (2) for SARS and COVID-19, herding is more likely during extremely high oil returns after the GFC; and (3) herding is more likely during periods of extremely low oil returns during the coronavirus crises. These results suggest that after the GFC, investors are more sensitive to asset losses, so they will be more likely to display herding in the stock market. However, during SARS and COVID-19, investors panic so they may unwisely sell their assets. There are strong cross-sector herding spillover effects from US fossil fuel energy to renewable energy, especially before the GFC, while the US fossil fuel energy market has a significant influence on the Europe and Asia renewable energy returns during COVID-19. During SARS, which was not a pandemic, US fossil fuels only had an impact on US renewable energy returns.

How the cryptocurrency market has performed during COVID 19? A multifractal analysis.

Cryptocurrency markets are complex systems based on speculation. Where investors interact using strategies that generate some biases responsible for endogenous instabilities. This paper investigated the herding biases by quantifying the self-similarity intensity of cryptocurrency returns' during the COVID-19 pandemic. The main purpose of this work was to study the level of cryptocurrency efficiency through multifractal analysis before and after the coronavirus pandemic. The empirical results proved that COVID-19 has a positive impact on the cryptocurrency market efficiency.