New Findings Regarding Day-of-the-Week Returns over Trading and Non-Trading Periods: A Note

This paper decomposes daily close to close returns into trading day and non-trading day returns. We discover that all of the average negative returns from Friday close to Monday close documented in the literature for stock market indexes occurs during the non-trading period from Friday close to Monday open. In addition, average trading day returns (open to close) are identical for all days of the week. January/firm size/turn-of-the-year anomalies are shown to be interrelated with day-of-the-week returns.     

Investor Inattention and Friday Earnings Announcements

Does limited attention among investors affect stock returns? We compare the response to earnings announcements on Friday, when investor inattention is more likely, to the response on other weekdays. If inattention influences stock prices, we should observe less immediate response and more drift for Friday announcements. Indeed, Friday announcements have a 15% lower immediate response and a 70% higher delayed response. A portfolio investing in differential Friday drift earns substantial abnormal returns. In addition, trading volume is 8% lower around Friday announcements. These findings support explanations of post‐earnings announcement drift based on underreaction to information caused by limited attention.     

Weekend Effect, 'Reverse' Weekend Effect, and Investor Trading Activities

Abstract:   In this study, we document evidence of a 'reverse' weekend effect – whereby Monday returns are significantly positive and they are higher than the returns on other days of the week – over an extended period of eleven years (from 1988 to 1998). We also find that the 'traditional' weekend effect and the 'reverse' effect are related to firm size in that the 'traditional' weekend effect tends to be associated with small firms while the 'reverse' weekend effect tends to be associated with large firms. In addition, we find that during the period in which the 'reverse' weekend effect is observed, Monday returns for large firms tend to follow previous Friday returns when previous Friday returns are positive , but they do not follow the previous Friday returns when Friday returns are negative . Furthermore, we find that during the period in which the 'reverse' weekend effect is observed, Monday returns are positively related to the volume of medium‐size and block transactions, but negatively related to the volume of odd‐lot transactions.     

The “reverse” weekend effect: the U.S. market versus international markets

In this paper we find that the “reverse” weekend effect—where average Monday returns tend to be positive—is a unique feature of the U.S. market. During the time the U.S. market exhibits the reverse weekend effect, foreign markets still show the “traditional” weekend effect or no effect at all. The results persist even after we sort the data by week of the month and month of the year. We also find that in foreign markets negative Monday returns tend to follow negative Friday returns. However, in the U.S. market, positive Monday returns tend to follow positive Friday returns.     

Weekend gold returns in bull and bear markets

This study examines the weekend effect in gold returns during bull and bear markets over the period 1975 through 2011. It shows that gold returns from close on Friday to close on Monday are significantly lower than returns during the rest of the week. This result is due largely to gold returns during bear markets. During gold bull markets, gold weekend returns are not significantly different from weekday returns. The study shows that the effect has substantial economic implications for gold investors. The effect is shown to be related to a significantly negative skewness in the weekend returns.     

GOOD NEWS, BAD NEWS, VOLUME, AND THE MONDAY EFFECT

New evidence is presented on the nature of the Monday effect in stock market returns. Using stock returns for the years 1962-1986, the Monday effect is found to be confined to periods of negative market returns. Monday's returns are no different from other weekday returns in periods of positive returns. In addition, trading volume and the Monday effect are related. Monday's volume is lower than the other weekdays. When returns are compared controlling for trading volume, we find that the Monday effect is confined to negative return periods with above normal volume, which represent only two per cent of the sample period.     

Air pollution and mediation effects in stock market,longitudinal evidence from China

By obtaining a novel proprietary city-level panel dataset of stock returns and trading volume in China, this article investigates the effect of air pollution on the stock market while avoiding the possible confounding factors reported in previous similar studies. The analysis finds that there are significant negative effects generated by air pollution on stock returns and trading volume, and these effects manifest themselves on successive days. Air pollution affects stock returns on the same day, which then mediates the effect of air pollution on trading volume on the next day. Similar negative effects are also found in several different pollutants. Our results validate the negative relationship of air pollution on the stock market in literature with longitudinal evidence, and illustrate the steps of the air pollution effect in the stock market.     

A note on weekday, intraday, and overnight patterns in the interbank foreign exchange and listed currency options markets

Transactions data are used to investigate returns patterns for close-to-close, close-to-open, and intraday long positions in spot currency (interbank) and currency put options (listed) for the years 1983 through 1988. Both trading-day and calendar-day hypotheses are investigated. Under the former, spot market returns are found to be significantly higher from Friday close to Monday close and from Friday close to Monday open. Under the calendar-day hypothesis, however, no significant close-to-close pattern emerges, and the Friday close to Monday open effect is reversed. Finally, spot (put) market returns are found to be significantly lower (higher) for Tuesday and Friday afternoons.     

A Further Investigation of the Weekend Effect in Stock Returns

This study uses a longer time period and additional stocks to further investigate the weekend effect. We find consistently negative Monday returns (1) for the S & P Composite as early as 1928, (2) for Exchange-traded stocks of firms of all sizes, and (3) for actively traded over-the-counter (OTC) stocks. The OTC results are based on bid prices and therefore appear to reject specialist-related explanations. For the 30 individual stocks of the Dow Jones Industrial Index, the average correlation between Friday and Monday returns is positive and the highest of all pairs of successive days. The latter finding is inconsistent with fairly general measurement-error explanations.     

DAY OF THE WEEK EFFECTS: A TEST OF THE INFORMATION TIMING HYPOTHESIS

Many explanations have been offered for the negative Monday effect. An obvious conjecture is that the negative return might be due to firms timing the release of information after the market closes on Friday. We test this conjecture on a sample of 233 firms for 1986. Using a firm's board meeting date as a proxy for high information days we find that a firm's Monday return near a board meeting date is more likely to be negative than other Monday returns. Also the remaining days of the week tend to be more positive than similar days further away from the board meeting. Our results appear to explain part of the negative Monday effect.     

Technical trading rules for nonlinear dynamics of stock returns: evidence from the G-7 stock markets

This paper explores a possible link between an asymmetric dynamic process of stock returns and profitable technical trading rules. Using the G-7 stock market indexes, we show that the dynamic process of daily index returns is better characterized by nonlinearity arising from an asymmetric reverting property. The asymmetric reverting property of stock returns is exploitable in generating profitable buy and sells signals for technical trading strategies. The bootstrap analysis shows that not all nonlinearities generate profitable buy and sell signals, but rather only the nonlinearities generating a consistent asymmetrical pattern of return dynamics can be exploitable for the profitability of the trading rules. The significant positive (negative) returns from buy (sell) signals are a consequence of trading rules that exploit the asymmetric nonlinear dynamics of the stock returns that revolve around positive (negative) unconditional mean returns under prior positive (negative) return patterns. Our results corroborate the arguments for the usefulness of technical trading strategies in stock market investments.     

Institutional trading and stock returns

In this study, we explore the dynamics of the relation between institutional trading and stock returns. We find that stock returns Granger-cause institutional trading (especially purchases) on a quarterly basis. The robust and significant causality from equity returns to institutional trading can be largely explained by the time-series variation of market returns, that is, institutions buy more popular stocks after market rises. Stock returns appear to be negatively related to lagged institutional trading. A further analysis of the behavior of trading and the returns of the traded stocks reveals evidence that stocks with heavy institutional buying (selling) experience positive (negative) excess returns over the previous 12 months.     

The impact of litigation risk on the strategic timing of management earnings forecasts

This paper examines whether managers strategically time their earnings forecasts (MEFs) as litigation risk increases. We find as litigation risk increases, the propensity to release a delayed forecast until after the market is closed (AMC) or a Friday decreases but not proportionally more for bad news than for good news. How costly this behaviour is to investors is questionable as share price returns do not reveal any under‐reaction to strategically timed bad news MEF released AMC. We also find evidence consistent with managers timing their MEFs during a natural no‐trading period to better disseminate information.     

The Friday Effect in European Securitized Real Estate Index Returns

This study extends research on the day-of-the-week effect towards European real estate indices. We examine this anomaly for several European securitized real estate index returns between 1990 and 2003. Although the countries under analysis have unique country-specific patterns, we find that eight out of eleven European countries exhibit abnormally high Friday returns. Moreover, two different Europe indices also exhibit the Friday anomaly. The anomaly is robust with respect to extreme observations, alternative specifications and several well-known calendar effects.     

Another New Look at the Monday Effect

We link up the findings of Abraham and Ikenberry (1994) and Wang, Li and Erickson (1997) by showing that negative Monday returns concentrate on days 18 to 26 of a month and they can be completely explained in the statistical sense by the negative returns on the previous Friday. More importantly, we observe a 'week–four effect'. Not only the returns on Mondays but also returns on other days are lower during the fourth week of a month. We suggest that liquidity selling by individual investors may be the reason.     

Stock Returns in Thinly Traded Markets

We examine the share price behavior of thinly traded NASDAQ National Market System stocks during periods when financial markets are open but the individual stocks do not trade. The absence of trade allows us to isolate the effect of nontrading from that of market closure. We find that nontrading stocks have negative mean returns and lower variances regardless of whether markets are open or closed. Two-day returns that include one nontrading day have a mean daily return of -0.226% compared to +0.164% for two-day returns over consecutive trading days. Two-day returns that include one nontrading day have only 3.8% higher variance than one-day returns. We conclude that the relation between transaction arrival, mean returns, and volatility depends on whether a stock is trading and not simply on whether the market is open.     

Profitability of Nonlinear Dynamics Under Technical Trading Rules: Evidence from Pacific Basin Stock Markets

This paper explores a possible link between an asymmetric dynamic process of stock returns and profitable technical trading rules. Using Pacific Basin stock market indexes, we show that the dynamic process of daily index returns is better characterized by nonlinearity arising from an asymmetric reverting property, and that the asymmetric reverting property of stock returns is exploitable in generating profitable buy and sell signals for technical trading rules. We show that the positive (negative) returns from buy (sell) signals are a consequence of trading rules that exploit the asymmetric dynamics of stock returns that revolve around positive (negative) unconditional mean returns under prior positive (negative) return patterns. Our results corroborate the arguments for the usefulness of technical analysis.     

Can (unusual) weather conditions in New York predict South African stock returns?

This paper investigates the explanatory power of certain weather variables, measured as deviations from their monthly averages, in a leading international financial trading centre, i.e., New York, for South African stock returns, over the daily period January 2nd, 1973 to December, 31, 2015. The empirical results highlight that these unusual deviations of weather variables have a statistically significant negative effect on the stock returns in South Africa, indicating that unusual weather conditions in New York can be used to predict South African stock returns, which otherwise seems to be highly unpredictable. In fact, a forecasting exercise recommends that a trading rule that considers those weather variables through a GARCH modelling approach seems to outperform the random walk model and thus beat the market.     

The bivariate GARCH approach to investigating the relation between stock returns,trading volume,and return volatility

We use a bivariate GJR-GARCH model to investigate simultaneously the contemporaneous and causal relations between trading volume and stock returns and the causal relation between trading volume and return volatility in a one-step estimation procedure, which leads to the more efficient estimates and is more consistent with finance theory. We apply our approach to ten Asian stock markets: Hong Kong, Japan, Korea, Singapore, Taiwan, China, Indonesia, Malaysia, the Philippines, and Thailand. Our major findings are as follows. First, the contemporaneous relation between stock returns and trading volume and the causal relation from stock returns and trading volume are significant and robust across all sample stock markets. Second, there is a positive bi-directional causality between stock returns and trading volume in Taiwan and China and that between trading volume and return volatility in Japan, Korea, Singapore, and Taiwan. Third, there exists a positive contemporaneous relation between trading volume and return volatility in Hong Kong, Korea, Singapore, China, Indonesia, and Thailand, but a negative one in Japan and Taiwan. Fourth, we find a significant asymmetric effect on return and volume volatilities in all sample countries and in Korea and Thailand, respectively.     

Insider trading and future stock returns in firms with concentrated ownership levels

We investigate the relationship between insider trading and stock returns in firms with concentrated ownership. To this end, we employ data from East Asian countries which span the period January 2003 to May 2012. Consistent with the previous literature, we find a significantly negative relation between the selling activity of insiders and stock returns. However, contrary to studies which focus on highly developed markets, we find that the buying activity of insiders is also inversely related to future stock returns. Our analysis shows that top directors with higher ownership levels drive this result, suggesting that the trading activity of insiders is not always associated with profit-making motives and can be explained by their level of ownership. Furthermore, we demonstrate that a trading strategy which focuses solely on purchases made by top directors with high ownership levels yields negative returns. The paper has important implications for outside investors who mimic the trading activity of insiders with the aim to realise profits.