Individual versus institutional investors and the weekend effect

Since the late 1980’s, considerable research has focused on the behavior of individual versus institutional investors and the potential patterns which may emerge from their trading activities. Miller (1988) and Abraham and Ikenberry (1994) posit that the tendency for negative Monday returns on equity (i.e., the weekend effect) is at least partially explained by the trading behavior of individual investors. Sias and Starks (1995), on the other hand, present empirical evidence showing a dominant role played by institutional traders. This study contributes to the literature by distinguishing between individual versus institutional trading as it relates to the weekend effect. We find that the information-processing hypothesis is consistent with observed institutional trading patterns, thus supporting the results of Sias and Starks (1995). In addition, these results are shown to be robust with respect to market type (i.e., auction and dealer markets).     

The week-of-the-month effect in stock returns: The evidence from the S&P Composite Index

Theweekend effect and theyearend effect are some of the seasonal anomalies in financial markets that have been widely discussed in the finance literature. In this paper, using weekly observations of the S&P Composite Index over the period from July 1962 through June 1990, plus several subperiods, the authors identify the presence of a thus far unknown seasonal anomaly in the form of aweek-of-the-month return pattern in the stock market. The results suggest the existence of a statistically different weekly return pattern for different weeks of a month. Specifically, the returns during the first week of a month tend to be significantly positive while the returns during the other weeks of a month are statistically indistinguishable from zero.     

Spillovers of currency carry trade returns,market risk sentiment,and U.S. market returns

This paper examines the link between spillovers of currency carry trade returns and U.S. market returns. Following Tse and Zhao (2012), this paper hypothesizes that the magnitude of spillovers of currency carry trade returns is positively correlated with market risk sentiment and, therefore, has an impact on market returns. Using the G10 currencies and S&P 500 index futures, the empirical results present a high magnitude of spillover effects of currency carry trade markets. The empirical findings also show a significantly positive relationship between spillovers of currency carry trade returns and subsequent market returns. Furthermore, the results indicate that this relationship is stronger in bear markets than in bull markets. Finally, our findings show that spillovers of currency carry trade returns significantly affect the subsequent transition probabilities of market returns.     

The relationship between accounting numbers and returns: some empirical evidence from the emerging market of the Czech Republic

Generally, stock prices reflect future expectations of earnings, whereas accounting data reflect past performance. This paper attempts to discover the relationship between accounting data and market price returns of the companies listed on the Prague Stock Exchange (PSE). The Prague Stock Exchange was established in 1993 and provides an opportunity to make a comparison between a newly established market and the findings of studies of established markets. There has been a wealth of publications and accounting research studies on developed markets. Generally, accounting attributes are thought to be relevant because they tend to be contemporaneously statistically associated with stock prices. Some studies have suggested, and empirically tested, that stock prices lead earnings (e.g. Collins et al., 1987; Kothari, 1992; Kothari and Sloan, 1992; Kothari and Zimmerman, 1995). This study tests the existence of such a relationship in the Czech capital market, relying partially on the methodology proposed by Kothari and Sloan (1992) and Kothari (1992). This paper investigates whether there is a statistically significant permanent relationship between returns and accounting data on the Czech market. The study was conducted using accounting earnings and stock prices during the period 1993–8. The empirical evidence here suggests that a similar relation exists on the emerging Czech market. The relation is statistically significant for measurement windows of one year and longer. The increase in the mean response coefficient, reported later in this study, suggests that one-leading-year returns are as important as contemporaneous returns in terms of their sensitivity to annual earnings changes. However, one cannot infer with a degree of confidence that the Czech capital market views earnings changes to be largely permanent, which would be consistent with the time-series properties of annual earnings.     

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.     

中国城市土地市场存在“赢者诅咒”吗？

借鉴相关研究成果,构建一个综合性的时间窗口分析模型,利用我国境内房地产上市公司在20个城市购置的205宗土地作为样本,设置前向与后向共八个事件窗口,定量考察土地市场价格信号对股票市场的影响。实证结果表明：土地市场与股票市场是两个高度关联的市场,两个市场之间存在信号传递作用,短期内具有正向冲击效应,地价信号在土地出让后能够在短期内影响股票收益率,形成对股票价格的短期冲击效应;土地出让价格信号对股票市场的影响具有时间上的不对称性,地价信号对于股票收益率的影响主要发生在土地成交之后,股票市场对于土地竞拍以前的信息没有明显响应;土地市场所发现的价格信号是关联市场价格波动的信号源,改变竞价人的预期是市场稳定的关键。     

Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis

We investigate how sensitive developed and emerging equity markets are to volatility dynamics of Bitcoin during tranquil, bear, and bull market regimes. Intraday price fluctuations of Bitcoin are represented by three measures of realized volatility, viz. total variance, upside semivariance, and downside semivariance. Our empirical analysis relies on a quantile regression framework, after orthogonalizing raw returns with respect to an array of relevant global factors and accounting for structural shifts in the series. The results suggest that developed-market returns are positively related to the realized variance proxy across various market conditions, while emerging-market returns are positively (negatively) correlated with realized variance during bear (normal and bull) market periods. The upside (downside) component of realized variance has a negative (positive) influence on returns of either market category, and the dependence structure is highly asymmetric across the return distribution. Additionally, we document that developed and emerging markets are more sensitive to downside volatility than to upside volatility when they enter tranquil or bull territory. Our results offer practical implications for policymakers and investors.     

Return and Risk Premium Seasonalities in three Emerging Asian Markets: Hong Kong,Korea and Taiwan*

In this study, we find that seasonal return patterns differ from that implied by risk premiums in three emerging Asian markets; namely, Hong Kong, Korea and Taiwan. Positive January seasonal returns are found in the Hong Kong and Taiwan markets, while positive February seasonal returns are also found in Taiwan. These findings suggest that investors should place their money in these markets during January but not for the months of June and December in Korea, and for the months of May and November in Taiwan. Corporate managers should also be aware of the need to adjust for such seasonal variations when they use market data to evaluate the risk premium or required rate of return for projects in these markets. The results also show that the size effect may also be priced in some of these markets.     

Volatility analysis of precious metals returns and oil returns: An ICSS approach

This study examines volatility persistence on precious metals returns taking into account oil returns and the three world major stock equity indices (Dow Jones Industrial, FTSE 100, and Nikkei 225) using daily data over the sample period January 1995 to May 2008; the aim is to analyze market relationships before the global financial crisis. We first determine when large changes in the volatility of each market returns occur by identifying major global events that would increase fluctuations in these markets. The Iterated Cumulative Sums of Squares (ICSS) algorithm was used to identify the existence of structural breaks or sudden changes in the variance of returns. In each market the standardized residuals were obtained through the GARCH(1,1) mean equation. Our main results identify a clear relationship between precious metals returns and oil returns, while the interaction between precious metals and stock returns seems to be an independent one in the case of gold with mixed results for silver and platinum. In relation to volatility persistence, the results show clear evidence of high volatility persistence between these markets, especially during times when markets were affected by excessive volatility due to economic and financial shocks.     

Using CARRX models to study factors affecting the volatilities of Asian equity markets

The range of daily asset prices is often used as a measure of volatility. Using a CARRX (conditional autoregressive range with exogenous variables) model, and the parsimony principle, the paper investigates the factors affecting the volatilities of Asian equity markets. Since the beginning of the new Century, emerging Asian markets such as Taiwan and Shanghai have been undergoing various stages of financial globalization. The volatility of the equity market may not be explained solely by its own dynamics. In this paper, we examine volatility using the following factors: (i) lagged returns; (ii) lagged absolute returns; (iii) own trading volume; (iv) U.S. factors; (v) European factors; and (vi) regional (Asian) factors. Points (i) and (iii) are by and large significant, while (ii) is not. Controlling for (i), (ii) and (iii), we find evidence that the volatility of European markets has spillovers on to both the Taiwan and Tokyo markets, mild evidence that the volatility of the U.S. market has spillovers on to the Hong Kong market, but there are no spillovers from the European or U.S. markets on to the Shanghai market.     

Great Places to Work®: Resilience in Times of Crisis

We study the resilience of the “100 Best Companies to Work for in America” in times of financial crisis by analyzing their long‐term financial performance. Apart from implementing methods that tackle the statistical problems of stock returns, we use a conditional model to measure financial performance in periods of market growth (bull markets) and market downturn (bear markets). We find that best places to work are indeed resilient in times of crisis since neither their financial performance nor their systematic risk are affected during bear markets: top companies continue to outperform the market during periods of crisis, and the performance of lower‐ranked great workplaces does not deteriorate. Moreover, we find that previous studies were overestimating performance, and only great workplaces on the top half of the rankings exhibit positive excessive returns. © 2015 Wiley Periodicals, Inc.     

Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach

This study examines the asymmetric multifractality and the market efficiency of the stock markets in the countries that are the top crude oil producers (USA, KSA, Canada and Russia) and consumers (Brazil, China, India, and Japan) using an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) method. The results show evidence of an asymmetric multifractal nature for all markets. Moreover, the multifractality is stronger in the upward movement of the market returns, except in China. The degree of efficiency of the stock markets is shown to be time-varying and experienced a decrease during the 2008 global financial crisis (GFC), but an upside trend occurred during the recent oil price crash followed a significant decline during COVID-19. The stock markets have an anti-persistent feature during GFC and COVID-19, whereas they exhibit a long-term persistent feature during oil price crash. More interestingly, the efficiency of the stock markets of crude oil producers is lower in general than that of oil consumers. Furthermore, the efficiency of the stock market is lower in the downward movement of the market returns than in the upward movement. Asymmetry and oil price uncertainty index are the key driver of the stock markets and can serve as predictor of the stock market dynamics of top oil producers and top oil consumers particularly during COVID-19 and oil price crash.     

Capital outflow liberalization and stock market reaction in an emerging market: Experience from Greece

This paper examines the response of the Greek equities market to the liberalization of capital flows during the 1992–1994 period. While past empirical research has largely examined the effects of capital inflow liberalization in emerging markets, we focus on capital outflow liberalization. In particular, we consider changes in the regulatory environment that allow domestic investors to hold foreign risky assets. Employing a time series of daily equity returns, a wealth effect is found that is indirectly linked to the announcement of capital flow liberalization. Additionally, our results reveal a significant change in the daily return distribution before and after final implementation. The views expressed in this paper are solely those of the authors and should not be interpreted as those of their respective affiliations.     

Sovereign rating changes—Do they provide new information for stock markets?

The purpose of this paper is to examine the impact of sovereign rating changes on international financial markets using a comprehensive database of 42 countries, covering the major regions in the world over the period 1995–2003. In general, we find that rating agencies provide stock and foreign exchange markets with new tradable information. Specifically, rating upgrades (downgrades) significantly increased (decreased) USD denominated stock market returns and decreased (increased) volatility. Whereas the mean response is contributed evenly by the local currency stock returns and exchange rate changes that make up the USD returns, only the foreign exchange volatility was behind the USD denominated return volatility. In addition, we find significant asymmetric effects of rating announcements. The market responses – both return and volatility – are more pronounced in the cases of downgrades, foreign currency debt, emerging market debt, and during crisis periods. This study has important policy implications for international investors’ asset allocation plans and for regulatory bodies such as the Basel Committee who increasingly rely upon Moody's, Standard and Poor's and Fitch's ratings for their regulatory regimes.     

Accounting and capital markets: a survey of the European evidence

The relationship between accounting information and capital markets has been the subject of numerous studies, especially in the US. The purpose of this article is to examine the corresponding evidence in Europe. This review classifies the European literature into three groups: studies of the market reaction to newly released accounting information; studies of the long-term association between stock returns and accounting numbers; studies devoted to the use of accounting data by investors and to the impact of market pressure on accounting choices. The paper reviews and summarizes the main results related to each of these topics. It also addresses some methodological issues and provides suggestions for future research.     

The transition of the global financial markets' connectedness during the COVID-19 pandemic

This study contributes to the literature on financial research under the presence of the COVID-19 pandemic. Fresh evidence emerges from using two novel approaches, namely network analysis and wavelet coherence, to examine the connectedness and comovement of financial markets consisting of stock, commodity, gold, real estate investment trust, US exchange, oil, and Cryptocurrency before and during the COVID-19 onset. Moreover, unlike the previous studies, we seek to fill a gap in the literature regarding the ex-post detection of COVID-19 crises and propose the Markov-switching autoregressive model to detect structural breaks in financial market returns. The first result shows that most financial markets entered the downtrend after January 30, 2020, coinciding with the date the World Health Organization (WHO) declared the COVID-19 pandemic as a Public Health Emergency of International Concern. Thus, it is reasonable to use this date as the break date due to COVID-19. The empirical result from network analysis indicates a similar connectedness, or the network structure, in other words, among global financial markets in both the pre-and during COVID-19 pandemic periods. Moreover, we find evidence of market differences as the MSCI stock market plays a central role while Cryptocurrency presents a weak role in the global financial markets. The findings from the wavelet coherence analysis are quite mixed and illustrate that the comovement of the financial markets varies over time across different frequencies. We also find the main and most significant period of coherence and comovement among financial markets to be between December 2019 and August 2020 at the low-frequency scale (>32 days) (middle and long terms). Among all market pairs, the oil and commodity market pair has the strongest comovement in both pre-and during the COVID-19 pandemic phases at all investment horizons.     

Market effects of private equity placement: Evidence from Chinese equity and bond markets

Research has provided empirical evidence for the stock market reaction toward private placement; however, similar research has not been conducted in terms of the bond market. Using the event study method, we empirically examine the explanatory power of the signaling, free cash flow, and wealth transfer hypotheses based on the reaction of the stock market, bond market, and firm abnormal returns to the private placement announcement. The results show that the stock market has a negative reaction toward private placement, whereas the bond market has a positive reaction. The results also show that the scale of private placement is correlated with the severity of the market reaction. Abnormal returns indicate no significant change both before and after the private placement, and they are unaffected by the scale of private placement. These results are consistent with the wealth transfer hypothesis; however, the market reaction is not attributable to the signaling hypothesis and the free cash flow hypothesis. Extensive research shows that the abnormal returns of private placement change dramatically in non-state-owned enterprises and firms with low credit rating bonds, whereas the bond maturity has no significant impact on the abnormal returns—the wealth transfer effect of private placement is stronger in non-state-owned enterprises and firms with low credit rating bond.     

The R&D Investment–Uncertainty Relationship: Do Strategic Rivalry and Firm Size Matter?

This paper uses a real options perspective to augment a standard research and development (R&D) investment model and implement a firm‐level empirical analysis to assess the practical significance of market uncertainty and its interactions with strategic rivalry and firm size. We use a measure of firm‐relevant market uncertainty along with panel data and find that firms invest less in current R&D as uncertainty about market returns increases. The effect of firm‐specific uncertainty on R&D investment is smaller in markets where strategic rivalry is likely to be more intense. Furthermore, holding access to financing constant, the effect of uncertainty on R&D investment is attenuated for large firms. Copyright © 2012 John Wiley & Sons, Ltd.     

Asset pricing for inefficient markets: Evidence from China and India

Over last four decades, evidence of market inefficiencies has been widely documented by several scholars for all major stock markets in the globe. Chinese and Indian markets are not exempt. Inefficiencies in these markets are described by many authors as roots of all mispricing. Mispricing might be the outcome of application of familiar asset pricing models which may mislead an investor into adopting inappropriate policies for his new investments or for reallocating his old investments. In an alternative approach, we propose a transformation on original market returns in the objective of relaxing the strong assumption of market efficiency behind application of an asset pricing model. This modification will widen the scope of rational models on asset pricing ranging from an efficient to an inefficient market.     

Risk and return in the Tehran stock exchange

This paper analyzes market index returns in the Tehran stock exchange (TSE) within the context of three variants of the Capital Asset Pricing Model: the static international; the constant-parameter intertemporal; and a Markov-switching intertemporal CAPM, which allows for time-varying degree of integration with regional and international equity markets. We find that TSE returns are CAPM-efficient at monthly frequency with respect to several international market indices. Moreover, we find evidence in support of international integration of the TSE with respect to international markets. In addition, we conduct an extensive investigation for the direction of causality between TSE returns, international market index returns, and those in neighboring countries.