Does Anticipated Information Impose a Cost on Risk‐Averse Investors? A Test of the Hirshleifer Effect

This paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk‐averse investors’ trading decisions in institutionally imperfect capital markets. Specifically, I examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk‐sharing benefits of immediate trade and explicit transaction costs imposed on such trades. Consistent with my theoretically derived predictions, I find that investors’ current trading decisions are less sensitive to the incremental transaction costs created by short‐term capital gains taxes on trading profits, as both the duration and intensity of the risk of future adverse price changes increase. This evidence is consistent with an incremental cost to investors that results from the revelation of precise information, which is commonly referred to as the Hirshleifer Effect.     

How do individual investors trade?

This paper examines how high-frequency trading decisions of individual investors are influenced by past price changes. Specifically, we address the question as to whether decisions to open or close a position are different when investors already hold a position compared with when they do not. Based on a unique data set from an electronic foreign exchange trading platform, OANDA FXTrade, we find that investors’ future order flow is (significantly) driven by past price movements and that these predictive patterns last up to several hours. This observation clearly shows that for high-frequency trading, investors rely on previous price movements in making future investment decisions. We provide clear evidence that market and limit orders flows are much more predictable if those orders are submitted to close an existing position than if they are used to open one. We interpret this finding as evidence for the existence of a monitoring effect, which has implications for theoretical market microstructure models and behavioral finance phenomena, such as the endowment effect.     

Confidence and Investors' Reliance on Disciplined Trading Strategies

Researchers and practitioners in accounting and finance often investigate or advocate particular disciplined trading strategies, but little work investigates the determinants of individual investors' trading‐strategy reliance. We report two experiments, which provide evidence that the dual‐source model of overconfidence (Sniezek and Buckley [1991]) predicts the circumstances in which investors are more likely to rely on disciplined trading strategies. Our results indicate that reliance is more likely when investors trade portfolios of securities rather than trading on a case‐by‐case basis, particularly when investors have received feedback that their previous (unaided) trading decisions have been unprofitable. These results are driven by the number of shares that investors transact rather than by investors' directional agreement with the recommendations of the trading strategy, suggesting that the effects of a portfolio approach and trading experience occur by mitigating investors' overconfidence. The effects violate an aspect of economic rationality because our experiments ensure that investors in all conditions trade the same set of securities based on the same set of information.     

Whose money is smart? Individual and institutional investors’ trades based on analyst recommendations

This study explores how institutional and individual investors respond to analyst recommendations. Using a unique account-level trading dataset taken from the Shanghai Stock Exchange, we obtain direct evidence to show that (1) active institutional investors are significantly net buyers (net sellers) on “strong buy” and “buy” (“hold” and “sell”) recommendations; (2) active institutional investors condition their trades based on the buy-side pressure of analysts; (3) institutional investors earn abnormal returns by incorporating analysts’ buy-side pressure into their trading reactions to analyst recommendations; and (4) individual investors, in contrast, exhibit abnormal trade reactions opposite to those of active institutional investors. Our results are robust to alternative measures and different specifications. This study provides evidence that active institutional investors are more sophisticated processors of information and provides support for regulators’ concerns about the sub-optimal investment decisions made by individual investors who are unaware of the potential conflicts of interest analysts may face.     

Informed Trading through the Accounts of Children

This study shows that the guardians behind underaged accounts are successful at picking stocks. Moreover, they tend to channel their best trades through the accounts of children, especially when they trade just before major earnings announcements, large price changes, and takeover announcements. Building on these results, we argue that the proportion of total trading activity through underaged accounts (labeled BABYPIN) should serve as an effective proxy for the probability of information trading in a stock. Consistent with this claim, we show that investors demand a higher return for holding stocks with a greater likelihood of private information, proxied by BABYPIN.     

Are investors consistent in their trading strategies? An examination of individual investor-level data

While it has been demonstrated that momentum or contrarian trading strategies can be profitable in a range of institutional settings, less evidence is available concerning the actual trading strategies investors adopt. Standard definitions of momentum or contrarian trading strategies imply that a given investor applies the same strategy to both their buy and sell trades, which need not be the case. Using investor-level, transaction-based data from China, where tax effects are neutral, we examine investors' buy-sell decisions separately to investigate how past returns impact differentially on the trading strategies investors adopt when buying and selling stock. After controlling for a wide range of stock characteristics, extreme price changes and portfolio value, a clear asymmetry in trading is observed; with investors displaying momentum behavior when buying stocks, but contrarian behavior when selling stocks. This asymmetry in behavior is not driven purely by reactions to stock characteristics or extreme stocks. We discuss behavioral and cultural explanations for our findings.     

Expected Mispricing: The Joint Influence of Accounting Transparency and Investor Base

We examine how accounting transparency and investor base jointly affect financial analysts' expectations of mispricing (i.e., expectations of stock price deviations from fundamental value). Within a range of transparency, these two factors interactively amplify analysts' expectations of mispricing—analysts expect a larger positive deviation when a firm's disclosures more transparently reveal income‐increasing earnings management and the firm's most important investors are described as transient institutional investors with a shorter‐term horizon (low concentration in holdings, high portfolio turnover, and frequent momentum trading) rather than dedicated institutional investors with a longer‐term horizon (high concentration in holdings, low portfolio turnover, and little momentum trading). Results are consistent with analysts anticipating that transient institutional investors are more likely than dedicated institutional investors to adjust their trading strategies for near‐term factors affecting stock mispricings. Our theory and findings extend the accounting disclosure literature by identifying a boundary condition to the common supposition that disclosure transparency necessarily mitigates expected mispricing, and by providing evidence that analysts' pricing judgments are influenced by their anticipation of different investors' reactions to firm disclosures.     

Patterns of behavior of professionally managed and independent investors

In this paper, we analyze the investment patterns of a large number of clients of a major Israeli brokerage house during 1994. We compare the behavior of clients making independent investment decisions to that of investors whose accounts were managed by brokerage professionals. Our main objective is to investigate whether the disposition effect (i.e., the tendency to sell winners quicker than losers), demonstrated in the US only for individual investors, also holds for professional investors. This analysis is important, as accepted financial theory predicts that prices are determined mainly by decisions made by professionals. We show that both professional and independent investors exhibit the disposition effect, although the effect is stronger for independent investors.The second objective of our study is the comparison of trade frequency, volume and profitability between independent and professionally managed accounts. We believe that these comparisons not only provide insights of their own, but also help to put the differences in the disposition effect in a wider perspective. We demonstrate that professionally managed accounts were more diversified and that round trips were both less correlated with the market and slightly more profitable than those of independent accounts.     

A logit model of retail investors' individual trading decisions and their relations to insider trades

Among the various external information sources that influence individual investors' trading decisions, no research has considered the important influence of insiders' transactions. Retail investors might copy the behavior demonstrated by insiders' trading; therefore, this study establishes an approach to estimate the buying probability for a certain stock by a certain investor at a certain point in time and analyzes whether insider trade reports influence this probability. Using a sample of more than 270,000 retail trades in Germany between 2008 and 2009, along with more than 3000 insider trades in the same period, we find evidence of copying of insiders' trades by retail investors. The basic mimicry hypothesis holds, even when we consider an information event hypothesis and an insider attention effect hypothesis as alternative explanations. A robustness test also supports the findings.     

On derivatives with illiquid underlying and market manipulation

In illiquid markets, option traders may have an incentive to increase their portfolio value by using their impact on the dynamics of the underlying. We provide a mathematical framework to construct optimal trading strategies under market impact in a multi-player framework by introducing strategic interactions into the model of Almgren [Appl. Math. Finance, 2003, 10(1), 1–18]. Specifically, we consider a financial market model with several strategically interacting players who hold European contingent claims and whose trading decisions have an impact on the price evolution of the underlying. We establish the existence and uniqueness of equilibrium results for risk-neutral and CARA investors and show that the equilibrium dynamics can be characterized in terms of a coupled system of possibly nonlinear PDEs. For the linear cost function used by Almgren, we obtain a (semi) closed-form solution. Analysing this solution, we show how market manipulation can be reduced.     

The information content of retail investors’ order flow

In this paper, we provide evidence that the trading activity of small retail investors carries significant genuine information that can be exploited for the short-term out-of-sample forecasting of foreign exchange rates. Our findings are based on a unique dataset of around 2000 retail investors from the OANDA FXTrade electronic trading platform. Our results are consistent with the view that in the foreign exchange market private information is highly dispersed, but can be extracted by observing customer order flow. Previous studies, however, focused on the information content of costumer order flow of dealers in the interbank market, whose clients are themselves large institutional and professional investors. Our study is the first that analyzes a crowd of small retail investors and shows that even the trading activity of these investors contains, on aggregate, important non-public information that can be exploited for short-term exchange rate forecasting. Our findings lead us to conjecture that retail investors (on aggregate) are not pure noise traders but process dispersed information at least partially in a similar way as large institutional investors and hence place their orders accordingly.     

Trading patterns of big versus small players in an emerging market: An empirical analysis

This study uses a Vector Autoregressive (VAR) model to examine interdependencies among institutional investors, big individual investors, and small individual investors, and the effects of their trading on stock returns on the Taiwan Stock Exchange (TSE). The results imply that, during the sample period, big individual investors are the most well informed players; their trading affects not only stock returns but also small individual investors. Small individual investors are not well informed and are slow learners. Their orders to trade tend to provide liquidity to institutional and big individual investors, but there is no compensation for their liquidity services. We find that institutional investors follow neither positive-feedback nor negative-feedback trading strategies. Overall, the responses to shocks, except for those of small individual investors, decay quickly, indicating that the TSE can absorb shocks quickly and efficiently. Our analysis implies that small individual investors would be better off institutionalizing their investment decisions (e.g., by investing in mutual funds).     

Benefits from social trading? Empirical evidence for certificates on wikifolios

Social trading describes the idea that signal providers make their investment decisions available to other investors who follow them. The performance of social trading has hardly been in the focus of research so far. We analyze the performance of 1084 wikifolio certificates used in social trading and issued in 2012 and 2013. We apply factor models to analyze these certificates' returns and alphas relative to benchmark indexes. We find that, on average, wikifolios do not outperform the market. However, wikifolios with geographical focus provide better performance than those without. Furthermore, the best performing wikifolios earn significant short-term excess returns.     

Why do foreign investors underperform domestic investors in trading activities? Evidence from Indonesia

Foreign investors generally underperform domestic investors in trading activities. This study shows that their inferior performance is attributable to non-initiated orders. Foreign investors actually perform better than domestic investors in initiated orders. In addition, their performance is also mixed when trades are classified depending on who the counterparties are. These mixed performances can be explained by neither the information disadvantage hypothesis proposed by [Dvo?ák, T., 2005. Do domestic investors have an information advantage? Evidence from Indonesia. Journal of Finance 60, 817–839.] nor the poor timing of trade hypothesis suggested by [Choe, H., Kho, B.C., Stulz, R., 2005. Do domestic investors have an edge? The trading experience of foreign investors in Korea. Review of Financial Studies 18, 795–829.]. We propose and confirm that their inferior performance is explained by their aggressive trading behavior. Three metrics we utilize to measure the aggressiveness of foreign investors’ trading provide overwhelmingly strong evidence that foreign investors are more aggressive than their domestic counterparts.     

Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic

This study aims to examine whether the prices and returns of two cryptocurrencies, Dogecoin and Ethereum, are affected by Twitter engagement following the COVID-19 pandemic. We use the autoregressive integrated moving average with explanatory variables model to integrate the effects of investor attention and engagement on Dogecoin and Ethereum returns using data from December 31, 2020, to May 12, 2021. The results provide evidence supporting the hypothesis of a strong effect of Twitter investor engagement on Dogecoin returns; however, no potential impact is identified for Ethereum. These findings add to the growing evidence regarding the effect of social media on the cryptocurrency market and have useful implications for investors and corporate investment managers concerning investment decisions and trading strategies.     

Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors

Individual investors who hold common stocks directly pay a tremendous performance penalty for active trading. Of 66,465 households with accounts at a large discount broker during 1991 to 1996, those that trade most earn an annual return of 11.4 percent, while the market returns 17.9 percent. The average household earns an annual return of 16.4 percent, tilts its common stock investment toward high-beta, small, value stocks, and turns over 75 percent of its portfolio annually. Overconfidence can explain high trading levels and the resulting poor performance of individual investors. Our central message is that trading is hazardous to your wealth.     

Dividends and Market Signalling: an Analysis of Corporate Insider Trading

This study tests the multiple‐signal theory of dividends of John and Lang (1991) in the context of a European market. Our evidence shows that investors are more sensitive to insider trading signals than to signalled changes in existing dividends. In effect, the insider sales signal is universally understood as bad news. After controlling for the quality of a firm's investment opportunities, investors are found to penalise dividend outflows by mature firms that exhibit more informed insider sales activity. Finally, we offer an innovative exploration of the role of earnings announcements in market reaction to the dividend signal.     

Taste,information, and asset prices: implications for the valuation of CSR

Firms often undertake activities that do not necessarily increase cash flows (e.g., costly investments in corporate social responsibility or CSR), and some investors value these non cash activities (i.e., they have a “taste” for these activities). We develop a model to capture this phenomenon and focus on the asset-pricing implications of differences in investors’ tastes for firms’ activities and outputs. Our model shows that, first, investor taste differences provide a basis for investor clientele effects that are endogenously determined by the shares demanded by different types of investors. Second, because the market must clear at one price, investors’ demands are influenced by all dimensions of firm output even if their preferences are only over some dimensions. Third, information releases cause trading volume, even when all investors have the same information. Fourth, investor taste provides a rationale for corporate spin-offs that help firms better target their shareholder bases. Finally, individual social responsibility can lead to corporate social responsibility when managers care about stock price because price reacts to investments in CSR activities.     

Taxes and the growth in mutual funds: Evidence from OBRA 93

In recent years, individuals have steadily moved from direct ownership of equities to holding securities through mutual funds. Prior research has attributed this phenomenon to tax incentives to hold mutual funds in tax-preferred retirement accounts. In contrast, employing household-level microdata and using OBRA 93 as a quasi-natural experimental setting, we find that on average, investors reduced their mutual fund holdings within tax-preferred accounts following a tax rate increase. However, we also observe that this effect is primarily driven by investors with relatively high trading activity within their tax-preferred accounts; investors exhibiting relatively low trading activity generally increased their mutual fund investments in these accounts after OBRA 93. Investors who increased their mutual fund holdings did not do so by rebalancing away from other asset classes. Collectively, our results suggest that taxes are not driving the growth in mutual funds. This finding has important public policy implications because of the growing popularity of using mutual funds as a retirement savings vehicle, the dwindling number of individuals covered by defined benefit plans, the dramatic increase in the importance of mutual funds as a financial intermediary, and the continued state of flux in U.S. tax policy.     

Retail Trading and IPO Returns in the Aftermarket

Using trade size from the Trade and Quote (TAQ) data set as a proxy for individual versus institutional trading, this paper finds that the effects of trading of these two types of investors on initial public offering (IPO) returns on the first trading day depend on the hotness of the IPO. My regression results reveal that IPOs’ open-to-close returns are positively related to small trade participation, small trade purchases, and small trade order imbalance in the hot IPO sample, but not in the cold and neutral IPO samples. In addition, the aftermarket prices of cold and neutral IPOs are primarily driven by the trading of institutional investors, who are less likely to be driven by sentiment.