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The purpose of the paper is to investigate the price interrelationship between the Taiwanese and US financial markets.

The trivariate GJR‐GARCH (1,1) model and event study were employed to investigate volatility asymmetry and overreaction phenomenon, respectively.

The empirical results show that return volatility reveals the asymmetric phenomenon, and the holding period returns on US index futures from the opening of the US index futures electronic trading to the opening of the Taiwanese stock market are an important reference for investors in the Taiwanese stock market. Additionally, the paper presents an overreaction of the Taiwan Stock Exchange Capitalization Weighted Stock Index to a drastic price rise of E‐min NASDAQ 100 Index futures at the opening of the Taiwanese stock market.

This paper deletes the observations arising from the different national holidays of the USA and Taiwan, to have the same number of observations in both markets, which might contaminate the empirical results.

Investors in the Taiwanese stock market tend to pay more attention to the fluctuations in the share prices of high‐technological companies in the USA.

Most of the previous studies regarding price transmission between the Taiwanese and US stock markets focused mainly on the Taiwanese market reactions to the overnight returns of the US market. This paper enlarges the current field by examining the lead‐lag relationship, the volatility asymmetry, and the overreaction phenomenon between the Taiwanese and US financial markets according to the most updated US stock index information.

Focusing on the spillover effects between the CSI 500 stock index futures market and its underlying spot market during April to September 2015, the purpose of this paper is to explore whether Chinese stock index futures should be responsible for the 2015 stock market crash.

Using both linear and non-linear econometric models, this paper empirically examines the mean spillover and the volatility spillover between the CSI 500 stock index futures market and the underlying spot market.

The results showed the following: the CSI 500 stock index futures market has significant one-way mean spillover effect on its spot market. The volatility in CSI 500 stock index futures market also has a significant positive spillover effect on its spot stock market, and the mean value of dynamic correlation coefficient between the two market volatility is 0.4848. The spillover effect of the CSI 500 stock index futures market on the underlying spot market is significantly asymmetric, characterized by relatively moderate and slow during the period of the markets rising, yet violent and rapid during the period of the markets falling. The findings suggest that although the stock index futures itself was not the “culprit” of Chinese stock market crash in 2015, its existence indeed accelerated and exacerbated the stock market’s decline under the imperfect trading system.

Different from the existing literature mainly focusing on CSI 300 stock index futures, this paper empirically examines the impact of the introduction of CSI 500 stock index futures on 2015 Chinese stock market crash for the first time.

This paper examines implied volatility asymmetries in KOSPI200 option markets. The empirical results show that the unexpected negative return has a more remarkable effect on implied volatility than the unexpected positive one in the early stages of markets. In the recent stages, markets do not show implied volatility asymmetries. These results give and interesting implication to option market participants. In addition, this paper examines whether trading activity in option markets has an effect on implied volatility. The paper finds that in the second stages of markets trading activity has a negative effect on implied volatility while trading activity do not have effect on implied volatility in the early stages of markets. When trading activity is partitioned into expected and unexpected components, the empirical result shows that all trading activities have a significant negative effect on the implied volatility of option markets.

In recent years, frequent volatility is deeply influencing meat industry, household lives and macroeconomics. The main purpose of this paper is to analyze the volatility of Chinese meat price, and provide suggestions on stabilizing the meat market.

This paper uses (G) ARCH, (G) ARCH‐M, TARCH and EGARCH models to analyze volatility and its asymmetry of Chinese meat price.

Estimation result of (G) ARCH model shows volatility clustering of meat price. Estimation result of (G) ARCH‐M model shows high risk and low return in beef market. ARCH and EGARCH models estimation results show non‐symmetry of volatility of beef, mutton and chicken price, and volatility caused by falling price is smaller than that caused by rising price.

This paper shows that volatility of meat price can be predicted and Chinese meat market is not perfect, and special attention to the factors causing rise in meat price is necessary.

This 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.

This paper employs the spillover index of Diebold and Yilmaz (2012) to measure the volatility spillover index for total, positive and negative volatility.

The 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.

The 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.

Environmental volatility is a central construct in strategy studies. This paper argues that three factors confound the literature on volatility: asymmetry in conceptualization, asymmetry in operationalization, and lack of attention to level of analysis. These limitations inhibit the development of the concept and make much of the research on volatility non‐additive. However, environments do matter and to make better sense of it we need a meta‐conceptualization. To do this, the paper presents a process‐based resources‐oriented view of volatility that argues that the volatility experienced by the firm is largely a function of the resources it has available to meet the demands made of it. It is proposed that volatility originates from four basic resource configurations: managerial‐human resources configuration, physical resources‐conversion configuration, intangible resources configuration, and positional configuration. Propositions consistent with prior theories and incorporating the new resources‐oriented viewpoint are presented and discussed.

The purpose of this paper is to construct a frequency-domain framework to study the asymmetric spillover effects of international economic policy uncertainty on China’s stock market industry indexes.

This paper follows the time domain spillover model, asymmetric spillover model and frequency domain spillover model, which not only studies the degree of spillover in time domain but also studies the persistence of spillover effect in frequency domain.

It is found that China’s economic policy uncertainty plays a dominant role in the spillover effect on the stock market, while the global and US economic policy uncertainty is relatively weak. By decomposing realized volatility into quantified asymmetric risks of “good” volatility and “bad” volatility, it is concluded that economic policy uncertainty has a greater impact on stock downside risk than upside risk. For different time periods, the sensitivity of long-term and short-term spillover economic policy impact is different. Among them, asymmetric high-frequency spillover in the stock market is more easily observed, which provides certain reference significance for the stability of the financial market.

The originality aims at extending the traditional research paradigm of “time domain” to the research perspective of “frequency domain.” This study uses the more advanced models to analyze various factors from the static and dynamic levels, with a view to obtain reliable and robust research conclusions.

This paper aims to develop the tentative hypothesis that common effective dynamics generate asymmetry volatility and unpredictability in the business, military and humanitarian logistics sectors.

The paper examines collaborative supply chain management (CSCM) concepts which integrate practical comparator cases to develop and justify the theoretical framework.

The humanitarian logistics sector can take “best practice” from business and military LSCM developments, but has specific problems of potential instability which require sector‐specific attention.

Humanitarian logistics' “present state” is a zero sum model because of the fragmented nature and number of disparate actors, which generate the logistics system volatility, unpredictability and asymmetry common to unstable operations, and which formed the research rationale for this paper.

The development gap identified can be resolved, and synthesis achieved, with the application of an intelligent system infrastructure.

This paper provides a development framework for a comprehensive set of universal techniques and a commonality in humanitarian logistics and supply chain management.

This study aims to measure the magnitude of information asymmetry between insiders and outsiders in Indian equity market. The study also investigates the effect of major information sources that affect information asymmetry namely, the informativeness of financial statements, news reports about the company and analyst follow-up.

Six-month profitability of insider trade was used as the proxy to measure information asymmetry. Fama-MacBeth two-stage regression was used to analyse the effect of information sources upon information asymmetry.

The results of the analysis demonstrate that in comparison with findings of similar studies the level of information asymmetry is comparatively high in India. On an average, profitable insider traders in India earn 19.28 per cent return than outside investors. Purchase transactions are more profitable than sales transactions, while the size of company and information asymmetry is associated inversely. Further, news and analyst follow-up are inversely associated with information asymmetry whereas informativeness of financial statements has little effect on information asymmetry.

The study have important insights for corporates in insider information management and legal compliance of insiders’ market activities. Results pointing to the requirements of a deeper Regulatory monitoring and stringent legal framework.

The result validates the concerns of investor protection against informed trade.

The measurement of information asymmetry using profitability of insider trade is novel in Indian context even though the methodology is often used in the literature.

This study examines whether the current virus pandemic (COVID-19) has any significant negative effect on returns series of selected stock markets in the developed, Asian and GCC countries. For this purpose, the EGARCH (1, 1) model and the News Impact Curve (NIC) are applied to examine the persistence of symmetric volatility, leverage-effect and inducing volatility by preceding bad or good news. The findings suggest that the volatility is persistent in all stock markets, but it is under unity for many stock markets, which means the volatility will persist for the short term in most cases. Furthermore, the findings of asymmetric volatility analysis indicate the presence of leverage-effect over the study period in all the selected stock markets except Japan, Indonesia and Hong Kong. However, NIC plots provide evidence that the negative shock (news) of the COVID-19 outbreak would put forward a higher volatility on all selected stock market returns in the near future, except for the stock markets in Thailand, Japan and Singapore, where the shocks (positive) suggest a higher subsequent period of conditional variance compared to the current shocks (negative) of the COVID-19 pandemic. Consequently, understanding the volatility structure of stock market returns is imperative for policy guidance among the policymakers and potential investors. For policymakers, as the volatility caused by the COVID-19 outbreak is persistent for the short term, this may encourage governments and central banks to implement effective measures to stimulate fiscal and monetary policies to counter the distraction caused by the pandemic, support the economic activities and cushion the local firms from the pandemic effect. For investors, the findings suggest that long-term investment decision should be taken to invest in all stock markets that are negatively affected by the COVID-19 outbreak to achieve capital gain in the future, while short-term investment decisions may be undertaken to take advantage from the short-term market volatility.