Sources of contrarian profits in the Japanese stock market

This paper investigates the profitability of contrarian strategies on the Tokyo Stock Exchange (TSE) across various ranking and holding horizons ranging from 1 month to 3 years. In sharp contrast to the evidence from the U.S. and European markets, our data show that contrarian strategies are profitable in Japan across all horizons, especially with a very short horizon of 1 month or a very long horizon of 2 years or longer. The results are very robust to skipping 1 month between the holding and ranking periods, excluding firms with extreme past returns, and partitioning the whole sample into bull and bear subperiods. In addition, we find that contrarian strategies perform much better when the aggregate market also performs better in either the ranking or the holding period. Finally, contrarian profits are mostly attributed to the lead–lag effect. Further analysis indicates that contrarian profits are not attributed to the pricing errors of the Fama–French three-factor model. Instead, contrarian profits are mainly due to cross-autocorrelations among firm-specific error components of the Fama–French three-factor model.     

Effects of order flow imbalance on short-horizon contrarian strategies in the Australian equity market

We use Lo and MacKinlay's [Lo, A.W., MacKinlay, C., 1990. When are contrarian profits due to stock market overreaction? The Review of Financial Studies 3, 175–205.] contrarian portfolio approach to examine the profitability of short-horizon contrarian strategies in the context of the Australian Stock Exchange. The results show that simple contrarian strategies lead to small but still statistically significant profits when applied to daily and intra-day portfolio formation. However, the profits are not sufficient to cover transaction costs for institutional investors. The source of contrarian profits is also analyzed leading to the conclusion that stock market overreaction is found to be the primary source of contrarian profits. We also examine the relation between the degree of return reversal and order flow activity after abnormal price changes. We find that the degree of return reversal is positively related to the level of order flow imbalance. Larger profits are generated from order flow based contrarian strategies when the order flow imbalances are high.     

When are contrarian profits due to stock market overreaction?

If returns on some stocks systematically lead or lag those ofothers, a portfolio strategy that sells 'winners' and buys 'losers'can produce positive expected returns, even if no stock's returnsare negatively autocorrelated as virtually all models of overreactionimply. Using a particular contrarian strategy we show that,despite negative autocorrelation in individual stock returns,weekly portfolio returns are strongly positively autocorrelatedand are the result of important cross-auto-correlations. Wefind that the returns of large stocks lead those of smallerstocks, and we present evidence against overreaction as theonly source of contrarian profits.     

Asymmetric mean-reversion and contrarian profits: ANST-GARCH approach

This paper investigates the time-series evidence of asymmetric reverting patterns in stock returns that is attributable to “contrarian profitability.” Using asymmetric nonlinear smooth-transition (ANST) GARCH(M) models, we find that, for monthly excess returns of US market indexes over the period of 1926:01–1997:12, negative returns on average reverted more quickly, with a greater reverting magnitude, to positive returns than positive returns revert to negative returns. The results are quite consistent when the models are implemented not only for the different sample periods, such as 1926:01–1987:09 and 1947:01–1997:12, but also for portfolios with different characteristics, such as different firm-size portfolios and Fama–French risk-adjusted factor portfolios. We interpret the asymmetrical reversion as evidence of stock market overreaction.     

Trading performance and market efficiency: Evidence from algorithmic trading

In India, National Stock Exchange directly identifies algorithmic trading participation. Algorithmic traders possess intraday market timing skills. Results are not motivated by extreme short-term signals or transitory price trading. Magnitude of market timing performance in cross-sectional group of traders shows that they earn profit across all the cases, and maximize while providing liquidity. Volume-weighted-average-price decomposition analysis reports algorithmic traders earn profits through intraday market timing performance for five-minute and one-minute intervals, and it is higher compared to short-term market timing performance across all trader groups. Order imbalance and price delay regressions show that algorithmic trading significantly improves price efficiency.     

Overreaction, delayed reaction, and contrarian profits

This article examines the contribution of stock price overreactionand delayed reaction to the profitability of contrarian strategies.The evidence indicates that stock prices overreact to firm-specificinformation, but react with a delay to common factors. Delayedreactions to common factors give rise to a size-related lead-lageffect in stock returns. In sharp contrast with the conclusionsin the extant literature, however, this article finds that mostof the contrarian profit is due to stock price overreactionand a very small fraction of the profit can be attributed tothe lead-lag effect.     

Trading volume and firm-specific announcements: Implications for the market model

The market model is commonly used in finance to study events and to evaluate security performance. With daily data, it is not uncommon to find low R-squares, in the range 0–10%. Prior studies have attempted to improve the fit of the model by excluding observations associated with high trading volume. In this study, we compare the results of the high-volume-exclusion approach with the more direct firm-specific announcement exclusion approach. The announcement approach excludes observations associated with Wall Street Journal Index news items regarding the firm. By excluding the [−1,0] fays relative to such news in a sample of 68 firms, we find that R-squares increase significantly by about 5%. By excluding the days relative to earnings announcements only, R-squares increase by about 4%. These results are then compared to the high-volume-exclusion approach. It is found that this approach is more efficient as an 8% increase in R-squares is produced.The results of this study provide valuable evidence to empiricists by comparing the two approaches to improving the fit of the market model. The high-volume -exclusion approach provides higher R-squares. However, the relative efficiency of the two approaches should be balanced against the arguments for the methodologically correct approach. The advantage of using the firm-specific announcement exclusion approach is that there is more confidence of excluding only firm-specific movements from the estimation of the market model. It also allows a researcher to quickly and unambiguously identify the announcements and delete the corresponding observations. Furthermore, we find that about 50% of the improved fit, relative to the volume approach, can be accomplished by excluding earnings announcements. The methodological disadvantage of using the high-volume-exclusion approach is that it is affected not only by firm-specific announcements but also by other factors, such as the heterogeneity of investor expectations. These factors may influence the choice of using firm-specific announcements rather than the high-volume approach despite the lower increment in R-squares.     

Trading volume and stock market volatility: The Polish case

Relying on the mixture of distributions hypothesis (MDH), this paper investigates the relationship between daily returns and trading volume for 20 Polish stocks. Our empirical results show that in the majority of cases volatility persistence tends to disappear when trading volume is included in the conditional variance equation, which is in agreement with the findings of studies on developed stock markets. However, we cannot confirm the testable implications of the MDH in all cases, which indicates that future research on the causes and modeling of Polish stock market volatility is necessary.     

Momentum or contrarian investment strategies: Evidence from Dutch institutional investors

This paper analyses investment strategies of three types of Dutch institutional investors - pension funds, life insurers and non-life insurers - over the period 1999-2005. We use balance sheet and cash flow data, including purchases and sales of equity, fixed income and real estate. We trace asset reallocations back to both active trading and revaluations and link investment decisions to firm-specific characteristics and macroeconomic variables. Overall, our results indicate that all three investor types tend to be contrarian traders, i.e. they buy past losers and sell past winners. Especially pension funds showed this behaviour in the most turbulent part of the sample - the crash of 2002 and early 2003 - implying that these institutions have a stabilising impact on financial markets when this is needed most. Life insurers tend to be contrarian traders when they have a high proportion of unit-linked policies, while non-life insurers are contrarian when they have a more risky business model.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market

We provide firm-level evidence from an emerging Islamic market that individual investors' trading behaviour causes weekend sentiment. Using data for 285 companies listed on the Dhaka Stock Exchange (DSE) for the period from 2002 to 2019 and applying appropriate econometric techniques, the paper has found evidence of weekend effect both on return and volatility. The results confirm that individual investors' sentiment drives the weekend effect in DSE. ‘Information content theory’ and ‘information processing hypothesis’ work for investors so that the market return and volatility become significantly different on Sunday. The market sentiment effect is significant for smaller firms and low dividend yield firms where individual investors are prevalent, suggesting that trading behaviour of individual investors determines weekend sentiment. A positive feedback relationship exists between returns on Sunday and the previous Thursday for both institutions and individuals. Our results are robust in various alternative specifications.     

Trading of foreign investors and stock returns in an emerging market - Evidence from Vietnam

This article investigates the impact of foreign investors' trading on stock returns in Vietnam, a key emerging market. We utilize a time series data set of foreign investors' trading volume and market returns of the Ho Chi Minh City stock exchange over an extended time frame before and after global financial crisis. The results indicate that foreign investors are positive feedback traders in Vietnam stock market. The findings also reveal the timing ability and trading strategy of foreign investors. The paper offers strong implications for market participants and portfolio investment.     

Trading volume and exchange rate volatility: Evidence for the sequential arrival of information hypothesis

The relationship between trading volume and volatility in foreign exchange markets continues to be of much interest, especially given the higher than expected volatility of returns. Allowing for nonlinearities, this paper tests competing hypotheses on the possible relationship between volatility and trading volume using data for three major currency futures contracts denominated in US dollars, namely the British pound, the Canadian dollar and the Japanese yen. We find that trading volumes and return volatility are negatively correlated, implying a lack of support for the mixture of distributions hypothesis (MDH). Using linear and nonlinear Granger causality tests, we document significant lead-lag relations between trading volumes and return volatility consistent with the sequential arrival of information (SAI) hypothesis. These findings are robust and not sample-dependent or due to heterogeneity of beliefs as proxied by open interest. Furthermore, our results are insensitive to the modeling approach used to recover volatility measures. Overall, our findings support the contention that short- to medium-term currency relationships may be dominated by trading dynamics and not by fundamentals.     

Price Discovery without Trading: Evidence from the Nasdaq Preopening

This paper studies Nasdaq market makers' activities during the one and one-half hour preopening period. Price discovery during the preopening is conducted via price signaling as opposed to the auction used to open the NYSE or the continuous market used during trading. In the absence of trades, Nasdaq dealers use crossed and locked inside quotes to signal to other market makers which direction the price should move. Furthermore, we find evidence of price leadership among market makers that bears little resemblance to their IPO\SEO lead underwriter participation.     

Information content of options trading volume for future volatility: Evidence from the Taiwan options market

This study follows the approach of Ni et al. [Ni, S.X., Pan, J., Poteshman, A.M., 2008. Volatility information trading in the option market. Journal of Finance 63, 1059–1091] – based upon the vega-weighted net demand for volatility – to determine whether volatility information exists within the Taiwan options market. Our empirical results show that foreign institutional investors possess the strongest and most direct volatility information, which is realized by the delta-neutral options/futures trades. In addition, a few individual investors (less than 1% of individuals’ trades) might be informed and realize their volatility information using the strangle strategy. Surprisingly, we find no evidence to support the predictive ability of the volatility demand from straddle trades, despite the widespread acknowledgement that such trades are sensitive to volatility.     

Trading volume with private valuation: evidence from the ex-dividend day

We test a theory of the interaction between investors' heterogeneity,risk, transaction costs, and trading volume. We take advantageof the specific nature of trading motives around the distributionof cash dividends, namely the costly trading of tax shields.Consistent with the theory, we show that when trades occur becauseof differential valuation of cash flows, an increase in riskor transaction costs reduces volume. We also show that the nonsystematicrisk plays a significant role in determining the volume of trade.Finally, we demonstrate that trading volume is positively relatedto the degree of heterogeneity and the incentives of the variousgroups to engage in trading.     

Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon

This paper applies asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models to the analysis of mean-reversion and time-varying volatility in weekly index returns of the stock markets of nine countries in the Pacific-basin. It finds that the returns exhibit an asymmetric pattern of return reversals, viz., on average, a negative return reverts more quickly, with a greater magnitude, to a positive return than a positive return reverting to a negative one. The asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors. Following a negative return shock, investors do not appear to require any additional premium to the leverage effect; instead they actually neutralize the risk in the form of a reduced premium! The reduction in risk premium causes not only the current stock price to rise but also the realized negative return to revert faster with a greater magnitude.     

Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market

We provide robust evidence of the impact on spot market liquidity and the pricing efficiency of FBM-FKLI index futures following the introduction of lower tick sizes for the stocks listed in the Bursa Malaysia. Our findings show a significant increase in unexpected trading volume and the speed of mean reversion of the futures mispricing. We find that the increase in the unexpected trading volume of the underlying stocks helps in reducing inter-market price discrepancies. The findings offer new evidence that lowering of tick sizes improves pricing efficiency in the Malaysian futures market.

     

卖空者与内幕交易——来自中国证券市场的证据

本文研究上市公司内部人减持、年报、诉讼、分析师评级、停复牌以及高送转等重大公告前后卖空交易行为的变化,系统考察卖空者是否参与内幕交易以及何种因素影响卖空者参与内幕交易,发现卖空率较高的股票具有较低的未来收益,表明卖空者拥有信息优势,属知情交易者;卖空者拥有非常精确的择时交易能力,在重大利空公告前显著增加卖空量,而在利好公告前则显著减少卖空头寸,表明卖空者作为知情交易者的信息优势源自内幕消息;公司内、外部投资者的信息不对称程度越低或公司所在地的法治水平越高,卖空者参与内幕交易的行为就越少。因此,监管机构应密切关注公司重大消息发布前后卖空量的异常变动,同时,完善信息披露规则、健全证券分析师制度并强化法律法规的执行力度,才能有效防范卖空者参与内幕交易。     

Liquidity Provision and Noise Trading: Evidence from the Investment Dartboard Column

How does increased noise trading affect market liquidity and trading costs? We use The Wall Street Journal's “Investment Dartboard” column, which stimulates noise trading, as a natural experiment to evaluate models of the bid-ask spread. We find that substantial increases in trading volume and significant but temporary abnormal returns occur when analysts recommend stocks in this column, especially when recommendations come from analysts with successful contest track records. We also find an increase in liquidity and a decrease in the adverse selection component of the bid-ask spread.