Frontier stock market integration and the global financial crisis

This paper examines the stock market integration between frontier and leading markets, focusing on the periods of pre and post global financial crisis. Using time-series analysis, the results mostly support leading markets can Granger-cause frontier markets. Frontier markets in different regions have distinct relationships with leading markets. Population growth, industry value, interest rate, tax rate, and tariff of the frontier markets significantly influence the integration between both markets. Energy, gross national income, stock traded value, and high-technology exports of leading markets saliently influence the integration. Finally, the global financial crisis impacts the relationship between the frontier and leading markets and changes the determinants of stock market integration.     

Contagion in global equity markets in 1998: The effects of the Russian and LTCM crises

The Russian and LTCM financial crises in 1998 originated in bond markets, but rapidly transmitted through international equity markets. A multi-factor model of financial markets with multiple regimes is used to estimate the transmission effects in equity markets due to global, regional and contagious transmission mechanisms during the crises. Using a panel of 10 emerging and industrial financial markets, the empirical results show that contagion is significant and widespread in international equity markets during the LTCM crisis, but is more selective during the Russian crisis. Contagion effects in equities differ to those previously noted in bond markets for this period.     

中国股市与汇市波动溢出效应研究

以上证综合指数和人民币兑美元名义汇率为指标,运用多元GARCH模型对中国股票市场和外汇市场之间的波动溢出效应进行实证研究。结果表明：汇率制度改革后,我国股市与汇市存在显著的双向波动溢出效应;汇市对股市表现出较强的波动传导,而股市对汇市的波动传递则相对较弱,存在着波动传导的非对称性。     

Dividend announcements under varying market conditions: The case of specially designated dividends

In this study the author examines differences in the behavior of stock returns surrounding the announcements of the specially designated dividends (SDDs) between bull markets and bear markets. Results show that SDDs declared during bull markets have a significantly higher positive effect on stock prices than those declared during bear markets. This evidence, new to literature, indicates that SDDs declared during bull markets are viewed by the market as more favorable than those declared during bear markets.     

COVID-19 and asymmetric volatility spillovers across global stock markets

In this study, I improve the assessment of asymmetry in volatility spillovers, and define six asymmetric spillover indexes. Employing Diebold-Yilmaz spillover index, network analysis, and my developed asymmetric spillover index, this study investigates the time-varying volatility spillovers and asymmetry in spillovers across stock markets of the U.S., Japan, Germany, the U.K., France, Italy, Canada, China, India, and Brazil based on high-frequency data from June 1, 2009, to August 28, 2020. I find that the global markets are well connected, and volatility spillovers across global stock markets are time-varying, crisis-sensitive, and asymmetric. Developed markets are the main risk transmitters, and emerging markets are the main risk receivers. Downside risk dominates financial contagion effects, and a great deal of downside risk spilled over from stock markets of risk transmitters into the global markets. Moreover, during the coronavirus recession, the total degree of volatility spillover is staying at an extremely high level, and emerging markets are the main risk receivers in the 2020 stock markets crash.     

Financial contagion vulnerability and resistance: A comparison of European stock markets

This paper investigates contagion to European stock markets associated with seven big financial shocks between 1997 and 2002. We apply methods using heteroscedasticity-adjusted correlation coefficients to discriminate between contagion, interdependence and breaks in stock markets relationships. The analysis focuses on a comparison between developed Western European markets and emerging stock markets in Central and Eastern Europe. We find modest evidence of significant instabilities in cross-market linkages after the crises. The Central and Eastern European stock markets are not more vulnerable to contagion than Western European markets.     

Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach

Owing to the asymmetry of stock markets, this study investigates the dependence structures for six regional stock markets according to different market conditions by applying the unconditional quantile regression (UQR) approach. This approach can address the traditional conditional quantile regression (CQR) approach’s limitation that its distributions are defined conditional on specific covariates. Specifically, we not only examine the detailed linkages among these six regional stock markets, but also explore the effect of global economic factors on them, given the strengthening of both international investment and the globalization of financial markets. The results show these dependence structures are often an asymmetric U-shaped or inverted U-shaped structure, which indicates that the impacts of both other geographically and economically close stock markets and economic factors are more pronounced during bear and bull markets than during normal markets, especially so in bear markets. Moreover, the UQR approach provides stronger extreme-value relationships and more significant asymmetric effects than the traditional CQR approach.     

Linkages between emerging and developed equity markets: Empirical evidence in the PMG framework

This paper empirically investigates the international equity market causal links between Central and South-Eastern Europe, on the one hand, and developed countries (Western Europe and the United States), on the other hand, over the monthly sample period spanning from October 2000 to September 2012. Unlike previous studies, we use the pooled mean group (PMG) approach of Pesaran et al. (1999), which is suitable to estimate dynamic heterogeneous panels to draw reliable conclusions. After cointegration is found between the stock markets of interest, the PMG estimates show evidence of each market's sensitivity to the fluctuations of the other markets over both the short- and long-run, supporting the feedback hypothesis. The impact of developed markets on emerging markets is more important than that of emerging markets on developed markets and the bidirectional impact is higher between emerging and Western European markets than between these emerging markets and the United States. These conclusions are robust to an alternative specification, which supports the view that the stock markets are closely interlinked. The findings are of great interest and have important implications for policy makers, investors, and practitioners.     

Analysis of the impact of COVID-19 pandemic on G20 stock markets

We examine the impact of the COVID-19 pandemic on G20 stock markets from multiple perspectives. To measure the impact of COVID-19 on cross-market linkages and deeply explore the dynamic evolution of risk transmission relations and paths among G20 stock markets, we statically and dynamically measure total, net, and pairwise volatility connectedness among G20 stock markets based on the DY approach by Diebold and Yilmaz (2012, 2014). The results indicate that the total volatility connectedness among G20 stock markets increases significantly during the COVID-19 crisis, moreover, the volatility connectedness display dynamic evolution characteristics during different periods of the COVID-19 pandemic. Besides, we also find that the developed markets are the main spillover transmitters while the emerging markets are the main spillover receivers. Furthermore, to capture the impact of COVID-19 on the volatility spillovers of G20 stock markets, we individually apply the spatial econometrics methods to analyze both the direct and indirect effects of COVID-19 on the stock markets’ volatility spillovers based on the “volatility spillover network matrix” innovatively constructed in this paper. The empirical results suggest that stock markets react more strongly to the COVID-19 confirmed cases and cured cases than the death cases. In general, our study offers some reference for both the investors and policymakers to understand the impact of COVID-19 on global stock markets.     

Spoils from the Spoiled: Strategies for Entering Stigmatized Markets

Stigmatized markets are those where either the products/services, or the consumers, or both, have been collectively, negatively stereotyped and devalued by one or more stakeholder audiences in ways that discredit the overall market. Many stigmatized markets exist, and many flourish, yet little systematic attention has focused on entry into such markets. Our article addresses this gap by conceptualizing various strategies for entering stigmatized markets. We further present propositions regarding the market‐level factors that can influence which of these strategies firms will choose to employ. The contributions include: conceptually clarifying the nature of stigmatized markets; identifying additional types of entry strategies relevant for entering stigmatized markets; theorizing the conditions under which firms would choose one entry strategy over another; and opening up for consideration the effects that market entry may have on stigmatized actors in targeted markets.     

The strength and source of asymmetric international diversification

We find that correlations between international markets continue to increase over time compared to previous research, with only Asian markets providing lower correlations relative to American and European markets. Consistent with previous studies, the benefits from international diversification are asymmetric, with reduced diversification benefits during bear markets. We extend previous results by examining the characteristics and causes of the returns affecting these asymmetric correlations, relating these results to the herding behavior of investors across markets rather than to fundamental economic reasons. Specifically, we determine that the increase in correlations among markets is most closely associated with the larger correlations from the largest positive return time intervals in bear markets rather than the negative returns. Use of stock index futures avoids issues inherent in the use of international cash indexes.     

Theory, Reality, and Performativity in Markets

A bstract .   The purpose of this article is to analyze the relation between scientific knowledge in the form of theories and the world that such theories are about. The focus is on market theories. I argue that everyday knowledge, conceptualized using the notion of "lifeworld," is the bedrock of scientific knowledge. I also make two distinctions, one between types of markets and one between principles of order in markets. There are two different types of markets, fixed-role markets and switch-role markets, and no existing theory can be used to explain both of them. In fixed-role markets, such as a producer market of garments, actors are identified as either sellers or buyers. In switch-role markets, such as the stock exchange market or currency market, actors are not identified with one role. The other distinction is between standard and status markets. In a status market, order is maintained because the identities of actors on both sides of the market are ranked according to status, which is a more entrenched social construction than the commodity traded in the market. In a market characterized by standards, the situation is reversed: the commodity is a more entrenched social construction than the social status of actors in the market. These distinctions are the backdrop of my analysis of the idea that markets are performed. It is concluded that the performativity approach is useful today for analyzing switch-role markets. A further conclusion is that neoclassical economic theory can be used in understanding switch-role markets, but not fixed-role markets.     

An analysis of dependence between Central and Eastern European stock markets

We examine the dependence structure between four Central and Eastern European (CEE) stock markets (Czech Republic, Hungary, Poland and Romania) using static and dynamic copula functions with different forms of tail dependence. We find evidence of positive dependence between all CEE stock markets, although this dependence is stronger between the Hungarian, Czech and Polish markets than between these markets and the Romanian market. We also find evidence of symmetric tail dependence, although not for the Hungarian and Czech markets. The dependence is time-varying and intensified after the onset of the recent global financial crisis. These results confirm that CEE stock markets are gradually coupling, a fact that has risk management implications for policymakers and investors.     

Housing market dynamics: Evidence of mean reversion and downward rigidity

House prices often exhibit serial correlation and mean reversion. Using two large panel datasets, this paper analyzes the price dynamics in two significantly different types of markets, cyclical (or volatile) and non-cyclical (or tame), by applying an autoregressive mean reversion (ARMR) model. Our results show that cyclical markets have larger AR coefficients than non-cyclical markets. As a result, house prices in cyclical markets tend to have larger price cycles. We also find that the upward periods have larger AR coefficients than the downward periods. This demonstrates that house prices are likely to overshoot the equilibrium in appreciating markets while experiencing downward rigidity during periods of decline. The model developed in this paper can produce a forecast with rich house price dynamics across markets. Our results can also be used to determine how house prices in overvalued markets will ultimately adjust.     

知识产品在线定制的交易成本分析及其治理机制研究

近期国内外出现了一批专注于知识产品定制交易的在线市场。虽然这些在线市场可以降低交易双方的搜索成本,但面临着由各种因素引发的高交易成本的挑战。文章从知识产品在线定制交易的特点出发,刻画了此类交易中主要的交易成本因素,构造了一个交易成本分析框架,并基于该框架讨论了可用的交易成本治理机制,最后观察了国内外三个典型的知识产品在线定制市场的交易成本治理实践。文章为知识产品在线定制的市场设计和管理提供了理论指导和实践经验。     

转型期股票市场和经济增长:微观行为机制分析

本文对股票市场与经济增长的关系进行了微观分析。在建立模型的基础上分析了股票市场对经济增长作用的传导机制,结合中国转型期经济的实际情况对股票市场和经济增长的关系进行了考察和假设。从总体上说,中国的股票市场对经济增长的作用影响不大。     

利率在控制房地产投资规模中的作用

根据宏观经济学中最基本IS-LM模型建立了房地产市场的均衡产出和投资模型,并找出利率影响货币政策和均衡投资额的关键因子.在此基础上结合模型中的关键影响因子综合分析造成我国近年来利率对于房地产投资规模调控不力局面的原因.最后结合美国的相关经验,提出对我国改进利率调控机制的建议.     

Further evidence on causality and feedback across international stocks

This study extends the previous research on interdependence of international stock markets by using Geweke's (1982) causality test on seventeen stock market indices. The impact of the stock market crash of October 1987 on other national stock markets is investigated by disaggregating the data into pre- and post-crash periods. Direction of causality and feedback is studied using standard causality tests. The results indicate very few stock markets (namely, the U.K. and the U.S.A.) influence other markets significantly. Almost all markets react to other markets' past and present movements. Traditional major markets (Japan, France, and Canada) do not seem to be influential at all.     

Return and volatility spillovers across the Western and MENA countries

We use weekly data on returns and range-based volatility over 2005–2017 to examine the degree of interconnectedness in financial markets of eleven MENA and four Western economies using the methodology proposed by Diebold and Yilmaz (2009, 2012, 2014). Our findings suggest (a) similar patterns of dynamic spillovers in both returns and in volatility. Both return and volatility spillover indices experienced significant bursts from 2008 to 2011 coinciding with the U.S. financial crisis. (b) Financial markets of Israel, Saudi Arabia and the UAE are more closely integrated with Westerns markets and may serve as primary channels for transmission of Western shocks to the region. Also, shocks to these three markets have noticeable impacts on other MENA markets. (c) Shocks to the U.S. financial markets play a critical role in return and volatility of MENA markets. (d) These findings are robust to alterations in window size and forecast horizon.     

The day-of-the-week effect revisited: international evidence

The aim of this study is to determine whether the DOW effect still exists, and to evaluate empirically the explanations of the DOW effect for international equity markets. Evaluating 51 markets in 33 countries for the period between January 2000 and December 2007, reveals that the DOW effect persists for a significant proportion of equity markets. Evaluating open-to-close returns, liquidity, size effect and possible spill-over effects, the DOW effect can be explained for almost of all the exchanges. Individual stock analysis, covering 37,631 stocks traded in 51 equity markets shows that a DOW effect in returns exists for a statistically significant proportion of individual stocks in almost all of the markets in the study. Even markets without a market-level DOW effect contain a surprisingly large proportion of stocks with individual-level DOW effects. Interestingly, this proportion is only marginally lower than that which is found in markets with a market-level DOW effect.