Good and bad high-frequency volatility spillovers among developed and emerging stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Walid Mensi ◽  
Ramzi Nekhili ◽  
Xuan Vinh Vo ◽  
Sang Hoon Kang

PurposeThis paper examines dynamic return spillovers and connectedness networks among international stock exchange markets. The authors account for asymmetry by distinguishing between positive and negative returns.Design/methodology/approachThis paper employs the spillover index of Diebold and Yilmaz (2012) to measure the volatility spillover index for total, positive and negative volatility.FindingsThe results show time-varying and asymmetric volatility spillovers among the stock markets under investigation. During the coronavirus disease 2019 (COVID-19) pandemic, bad volatility spillovers are more pronounced and dominated over good volatility spillovers, indicating contagion effects.Originality/valueThe presence of confirmed COVID-19 cases positively (negatively) affects the good and bad spillovers under low and intermediate (upper) quantiles. Both types of spillovers at various quantiles agree also influenced by the number of COVID-19 deaths.

2020 ◽  
Vol 14 (5) ◽  
pp. 779-794
Author(s):  
Umm E. Habiba ◽  
Shen Peilong ◽  
Wenlong Zhang ◽  
Kashif Hamid

Purpose The purpose of this paper is to investigate the cointegration and volatility spillover dynamics between the USA and South Asian stock markets, namely, India, Pakistan and Sri Lanka. The main objective of this study is to provide the knowledge about integration of financial market and volatility spillovers before, during and after global financial crisis to investors, fund managers and policy-makers. Design/methodology/approach The Johansen and Juselius cointegration test, Granger Causality test and bivaraite EGARCH model have been applied in this study to examine integration and volatility spillovers between selected stock markets. Findings The findings show that long-term integration between the USA market and South Asian emerging stock markets. It is found that USA stock market has causal relationship with emerging stock markets in short-term. The findings of EGARCH model reveal that asymmetric volatility spillover effects significant in all selected stock markets in pre, during and post-crisis periods. Furthermore, significant volatility spillover is found from stock markets of USA to all selected South Asian markets during and post-crisis periods. However, volatility spillovers from USA to India and Sri-Lanka markets are significant, while insignificant in case of Pakistani market in pre-crisis period. Overall, we find that returns and volatility spillover effects are higher in financial crisis period as compared to non-financial crisis period. Practical implications The findings of this paper have important implications for investors, portfolio managers and policy-makers. They can take potential benefits from international portfolio diversification by considering all these facts. The understanding and knowledge of across volatility transmission help them to maximize the gains from diversification and minimize the risk. Policy-makers can develop such strategies which protect the markets of these economies from future financial crisis. Originality/value Although in finance literature numerous studies have been conducted on integration between different stock markets, most of the studies investigated the integration and volatility spillovers between developed stock markets. However, many studies also analyzed the integration among emerging stock markets in literature review but it is hard to find studies in the context of South Asian stock markets on the effect of global financial crisis on stock markets. The main contribution of this study is to investigate the stock markets integration and volatility transmission between the USA and South Asia by considering the effect of recent 2007 US subprime financial crisis.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muzammil Khurshid ◽  
Berna Kirkulak-Uludag

Purpose This study aims to examine the volatility spillover effects between oil and stock returns in the emerging seven economies. Design/methodology/approach In this study, the Granger causality test and vector autoregression-generalized autoregressive conditional heteroskedasticity approach to analyze the volatility spillover from 1995 to 2019 were used. The findings provide evidence of significant volatility spillover between oil and Brazil, China, India, Indonesia, Mexico, Russia and Turkey (E7) stock markets. Findings All emerging seven stock markets exhibit positive and low constant conditional correlations with oil assets. The magnitude of the correlation changes in respond to the country’s net position in the crude oil market. While a relatively high level of correlation exists between oil and the stock markets of net oil-exporting countries, a relatively low level of correlation exists between oil and the stock markets of net oil-importing countries. Originality/value The findings suggest that oil asset improves the risk-adjusted performance of a well-diversified portfolio of stocks. However, investors should invest a larger portion of their portfolios in E7 stock markets than in oil.


2015 ◽  
Vol 10 (3) ◽  
pp. 448-473 ◽  
Author(s):  
Menggen Chen

Purpose – The purpose of this paper is to pay more attention to four different research questions at least. One is that this study intends to explore the changes of the risk-return relationship over time, because the institutions and environment have changed a lot and might tend to influence the risk-return regime in the Chinese stock markets. The second question is whether there is any difference for the risk-return relationship between Shanghai and Shenzhen stock markets. The third question is to compare the similarities and dissimilarities of the risk-return tradeoff for different frequency data. The fourth question is to compare the explanation power of different GARCH-M type models which are all widely used in exploring the risk-return tradeoff. Design/methodology/approach – This paper investigates the risk-return tradeoff in the Chinese emerging stock markets with a sample including daily, weekly and monthly market return series. A group of variant specifications of GARCH-M type models are used to test the risk-return tradeoff. Additionally, some diagnostic checks proposed by Engle and Ng (1993) are used in this paper, and this will help to assess the robustness of different models. Findings – The empirical results show that the dynamic risk-return relationship is quite different between Shanghai and Shenzhen stock markets. A positive and statistically significant risk-return relationship is found for the daily returns in Shenzhen Stock Exchange, while the conditional mean of the stock returns is negatively related to the conditional variance in Shanghai Stock Exchange. The risk-return relationship usually becomes much weaker for the lower frequency returns in both markets. A further study with the sub-samples finds a positive and significant risk-return trade-off for both markets in the second stage after July 1, 1999. Originality/value – This paper extends the existing related researches about the Chinese stock markets in several ways. First, this study uses a longer sample to investigate the relationship between stock returns and volatility. Second, this study estimates the returns and volatility relationship with different frequency sample data together. Third, a group of variant specifications of GARCH-M type models are used to test the risk-return tradeoff. In particular, the author employs the Component GARCH-M model which is relatively new in this line of research. Fourth, this study investigates if there is any structural break affecting the risk-return relationship in the Chinese stock markets over time.


Author(s):  
Paritosh Chandra Sinha

Do investors in the stock markets act/react on true information or noise? Do they believe on their own information or simply herd? The study seeks to explore these typical research queries from the behavioral finance perspectives. In particular, it develops a new theory of herding behavior and extends the models of Banerjee (1992) and Bikhchandani, Hirshleifer, and Welch (1992). The study also empirically tests the same on the Indian context with the high frequency intraday trading data for the real trade-time or time-stamp, trade-volume, and trade-price of ten sample scripts listed for their trading in both markets - the Bombay Stock Exchange (BSE) and the National stock Exchange (NSE). The study contributes to the literature with original findings. It shows that investors in the two Indian stock markets show crowd of positive and negative herding as well significantly and there is huge noise along with information in the markets equilibrium pricing mechanism.


2019 ◽  
Vol 19 (5) ◽  
pp. 999-1014
Author(s):  
Kohei Miyamoto

Purpose The purpose of this paper is to trace a legal evolution of the monitoring board and to reveal what brought the evolution and what is expected to emerge. The paper points to unique complementarities in Japanese corporate governance institutions and norms which will affect how the monitoring board performs its functions. Design/Methodology/Approach Analysis is based on texts on corporate governance legislations in Japan from the revision of Commercial Code in 1950 to the revision of Companies Act in 2014. Other sources include Tokyo Stock Exchange regulations, White Paper on Corporate Governance and other academic literatures on Japanese corporate governance. Findings Changes of non-legal institutions and norms in Japanese corporate governance necessitated legal reforms toward the monitoring board. Persisting institutions and norms, in particular lifetime employment, influences how the monitoring board performs its functions in Japan. Originality/Value This paper explains how the evolution of the monitoring board in Japan emerged and what will cause different expected functions of the monitoring board in Japan and other jurisdictions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hojat Mohammadi ◽  
Mahdi Salehi ◽  
Meysam Arabzadeh ◽  
Hassan Ghodrati

Purpose This paper aims to assess auditor narcissism’s effect on audit market competition (auditor concentration, clients’ concentration and competitive pressure). Design/methodology/approach This paper’s method is descriptive-correlational based on published information from listed firms on the Tehran Stock Exchange from 2012 to 2018 using a sample of 188 firms (1,310 observations). The method used for hypothesis testing is linear regression using panel data. Findings The results show a negative and significant relationship between auditor narcissism and audit market competition and its indices, including auditor concentration, clients’ concentration and competitive pressure. Moreover, a positive and significant relationship was observed between audit quality and audit market competition and its indices, including auditor concentration, client concentration and competitive pressure. Originality/value To analyzes competition indices in the audit market (auditor concentration, clients’ concentration and competitive pressure). The variable is assessed once more using the exploratory factor analysis of the so-called three variables single variable, named audit market competition. So the central question of the study is investigated within a broader sense. Moreover, as the present study is carried out in the emergent financial markets with extremely competitive audit markets to figure out the effect of auditors’ intrinsic characteristics on such markets’ competitiveness, it can provide useful information in this field.


2015 ◽  
Vol 16 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Matthew Rossi ◽  
Greg Deis ◽  
Jerome Roche ◽  
Kathleen Przywara

Purpose – To alert high frequency trading firms to the increased regulation and prosecution of manipulative trading practices during 2014 and early 2015. Design/methodology/approach – Reviews four significant proceedings against high frequency trading firms (and/or individuals employed by such firms) and other developments from the relevant government agencies as a possible preview of the enforcement and prosecution of high frequency trading practices in 2015. Provides advice to high frequency trading firms on how to decrease the risk of regulatory or criminal actions against them in this changing environment. Findings – Although the focus on high frequency trading has only recently begun to intensify, firms should be aware of the increased enforcement activity of the past year. These actions, both regulatory and criminal, have already resulted in large penalties and have helped initiate a strengthening of rules and regulations regarding manipulative trading practices, of which firms need to be aware and stay current. Practical implications – High frequency trading firms should be aware of the recent regulatory and criminal actions in order to better evaluate their own practices and controls, to ensure that their trading patterns do not resemble manipulative practices, and to avoid similar actions. Originality/value – Practical guidance from experienced litigators and securities regulatory lawyers, including a former SEC Assistant Chief Litigation Counsel and a former federal prosecutor, that consolidates and describes several recent actions and developments in one piece.


2018 ◽  
Vol 67 (9) ◽  
pp. 1550-1565 ◽  
Author(s):  
Mahdi Salehi ◽  
Nasrin Ziba ◽  
Ali Daemi Gah

Purpose The purpose of this paper is to investigate the relationship between financial reporting and cost stickiness in companies listed on the Tehran Stock Exchange. Design/methodology/approach Data of all Iranian manufacturing listed companies gathered for testing hypotheses during 2010–2016 and R statistical software are employed in order to analyzing data. Findings The results of this study indicate that there is a significant relationship between administrative, sale, material, labor and overhead costs and the financial reporting qualities of the companies under study. Originality/value The study focuses on relationship between financial reporting and cost stickiness in companies listed on the Tehran Stock Exchange, which is the first study of its type in Iran.


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