What drives individual investors in the bear market?

This study uses a unique dataset from a large anonymous brokerage firm to examine the net investment of individual investors during a bear market. The study's empirical evidence reveals that individual investors provide liquidity by acting as net buyers. Particularly, male and younger investors tend to have a higher buying intensity than the others during the market downturn. Besides, better performances when the market crashed encourage investors to be overconfident, thus exhibiting self-attribution bias since we do not find similar results in the bull-market subsample. Results from the stock-level analysis imply that investors tend to buy stocks with worse short-term past performance, higher liquidity, and larger market capitalization. Our findings on the individual investor trading behaviour cannot be explained by either a superior stock-picking ability or a higher tendency to gamble during the market downswing.     

What factors affect behavioral biases? Evidence from Turkish individual stock investors

This paper investigates behavioral biases among Turkish individual stock investors during 2011. Using transaction data, we analyze how common disposition effect, familiarity bias, representativeness heuristic, and status quo bias are, what factors affect these biases and how these biases relate to each other including overconfidence and return performance. We find that biases are common among investors. Male, younger investors, investors with lower portfolio value, and investors in low income, low education regions exhibit more familiarity bias. Female, older investors and investors with high portfolio values are more subject to disposition effect and representativeness heuristic. Individuals in the opposite edge of overconfidence are subject to status quo bias. Overconfidence is positively correlated with familiarity bias. Representativeness heuristic deteriorates wealth while status quo bias results in higher trade performance. Familiarity bias has a nonmonotonic effect on return; lower (higher) levels of familiarity bias have a negative (positive) effect on return. To the best of our knowledge, this is one of the few studies that focus on nationwide data and analyze the biases simultaneously. Using a unique dataset, we extend the findings of the behavioral finance literature to emerging markets. Besides, analysis of multiple biases helps us better understand the relationship among biases.     

Institutional preferences,demand shocks and the distress anomaly

Our paper examines the distress anomaly on the Chinese stock markets. We show that the anomaly disappears after controlling for institutional ownership. We propose two hypotheses. The growing scale of institutional investors and changes in institutional preferences can generate greater demand shocks for stocks with low distress risk than those with high distress risk, causing the former to outperform the latter. Consistent with our hypotheses, the growth of institutions explains the anomaly when the institutional market share increases rapidly. We also show that institutional preferences for stocks with low distress risk have significantly increased over time and changes in preferences also explain the anomaly. Finally, momentum trading and gradual incorporation of distress information cannot account for the anomaly.     

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

机构投资者与个人投资者过度自信行为比较研究

本文首先基于我国A股市场机构股票持有数据,构建了不同的投资组合来区分机构投资者与个人投资者的投资行为。然后运用Granger因果检验与SUR估计,探讨了我国证券市场机构投资者与个人投资者是否具有过度自信行为,结果表明无论是机构投资者还是个人投资者在不同市场状态下都存在交易过多的过度自信认知偏差。并且我国证券市场上个人投资者与机构投资者的过度自信程度在不同的市场状态下并无明显差异。最后提出了相关政策建议。     

Fool's mate: What does CHESS tell us about individual investor trading performance?

We investigate the short‐term relation between individual investor trading and stock returns on the Australian Securities Exchange. Stocks heavily bought by individual investors underperform stocks heavily sold over the subsequent three days, with respective returns on to a long–short portfolio of ?93, ?67 and ?12 basis points on days one, two and three. Individuals underperform in small and mid‐size stocks when they trade passively using limit orders waiting for the market price to move in their favour. Individuals underperform in large stocks when they trade aggressively using marketable orders. Foreign institutions gain from taking the opposite side of individual trades. We present an information asymmetry‐based explanation for the findings.     

Market Efficiency and Returns to Simple Technical Trading Rules: Further Evidence from U.S., U.K., Asian and Chinese Stock Markets

Tian, Wan and Guo (2002) explored the predictability and profitability of technical trading rules in markets with different efficiency levels; namely, the U.S. and China. In the case of the U.S. they found rules to have no predictability after 1975, whereas their results give support to technical trading rules having both predictability and profitability for the Chinese markets across the 1990's. The purpose of this paper is to extend the analysis of Tian et al. in two ways. First, to see if the conclusions extend to other markets – namely, the U.K., Hong Kong and Japan. Second, in the case of China, to examine whether the predictability and profitability of technical trading rules changed across the 1990's. On the basis of daily data Tian et al's results for the U.S. market are supported by the results for a number of the main developed markets where the technical trading rules had predictive ability during the 1970's that disappeared by the 1990's. Furthermore, the results suggest that while technical trading rules had short term predictive ability and profitability in the Chinese stock markets during the 1990's, this lessened as the decade progressed. JEL Classification: G14, G15     

Further evidence on the efficiency of the Chinese stock markets: A note

This paper examines the efficiency of the Chinese A-share and B-share markets following the deregulation of the B-share market which widened ownership to include domestic investors. Applying parametric and non-parametric variance ratio tests to the daily data of 370 shares over 1996–2005, the paper finds that A-shares are more efficient than B-shares, although the efficiency of both markets has improved following the regulatory change. Overall, the results suggest that the Chinese stock markets are characterised by information asymmetry, although the timely access to high quality information that domestic investors enjoy has improved the efficiency of the B-share market.     

透明度变化对股票市场投资者委托单提交行为和交易成本影响研究

基于2003年12月8日沪深交易所交易前市场透明度改革背景,本文利用一家营业部的投资者报价和交易数据,研究同一个机构投资者和散户投资者在透明度改革前后委托单提交激进程度的变化,以及这种变化对其完成交易的成本的影响。我们发现,透明度改革前后,机构投资者的委托单提交激进程度都显著大于散户投资者的委托单提交激进程度。透明度增加以后,机构投资者的委托单激进程度显著减少,而散户投资者的委托单提交激进程度增加。同时发现,透明度增加以后,机构投资者通过分拆委托单,增加交易次数,导致完成交易的时间增加,但价格影响力基本没有变化,散户投资者的成交时间和价格影响力有显著改善。     

Stock Prices and Inflation: New Evidence from the Pacific-Basin Countries

This paper investigates the statistical relationship between stock prices and inflation in nine countries in the Pacific-Basin. On balance, regression analysis on the nine markets shows negative relationships between stock returns in real terms and inflation in the short run, while co-integration tests on the same markets display a positive relationship between the same variables over the long run. The time path of the response of stock prices plotted against corresponding changes in consumer price indices validates this dichotomy in time-related response patterns of stock prices to inflation; namely, a blip of negative responses at the beginning changes to a positive response over a longer period of time. Stock prices in Asia, like those in the U.S. and Europe, appear to reflect a time-varying memory associated with inflation shocks that make stock portfolios a reasonably good hedge against inflation in the long run.     

The Causal Relationship Between Real Estate and Stock Markets

This paper examines the dynamic relationship that exists between the US real estate and S&P 500 stock markets between the years of 1972 to 1998. This is achieved by conducting both linear and nonlinear causality tests. The results from these tests provide a number of interesting observations which primarily show linear relationships to be spuriously affected by structural shifts which are inherent within the data. Linear test results generally show a uni-directional relationship to exist from the real estate market to the stock market. However, these results are not consistent with financial theory and for all sub-samples of the data. In contrast, the nonlinear causality test shows a strong unidirectional relationship running from the stock market to the real estate market, and is consistent in the presence of any structural breaks.     

Who moves the stock market in an emerging country – Institutional or retail investors?

By analyzing the dynamic behavior of institutional and retail investors in the Indonesia Stock Exchange using their completed transactions (comprising over 250 million observations), this study highlights that their trading strategies and behavior, in which institutions play a more important role than individuals in the market, are indeed different. Specifically, past trading activities by individual (institutional) investors have significantly affected the current trading behaviors and strategies of individual investors (both investor types). Furthermore, retail (institutional) investors are most likely to perform contrarian (momentum) strategies and trade frequently (infrequently) with small (large) amounts of money and short (long) holding periods.