The Relation Between Common Stock Returns Trading Activity and Market Value

This study examines the relation between common stock returns, trading activity and market value. Our results indicate that although firm size and trading activity are highly correlated, differences in trading activity are not the underlying reason for the firm size anomaly, the finding of systematic differences in risk adjusted returns across stocks of firms of different size.     

The effects of institutional ownership on the value and risk of diversified firms

We study the link between institutional ownership and firms' diversification strategy, value and risk. Our sample includes US-listed firms with segment data from 1998 to 2012. We find that not all kinds of diversification are value-destroying; unlike industrially-diversified firms, global single-segment firms are trading at a premium relative to their imputed value. The presence of institutional investors and the stability of their shareholdings positively influence the likelihood that a firm is diversified. The proportion (volatility) of institutional ownership is higher (lower) among diversified firms compared to domestic single-segment firms. More importantly, the higher the proportions of institutional shareholdings, the higher the excess value of the diversified firm and the lower the firm idiosyncratic risk. Institutional ownership volatility, on the other hand, is inversely related to a firm excess value but positively related to its idiosyncratic risk. Thus, the presence of long-term stable institutional investors enhances the value of diversified firms. Our findings remain robust to various model specifications and estimation techniques.     

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.     

Institutional investors,intangible information,and the book-to-market effect

This paper establishes a robust link between the trading behavior of institutions and the book-to-market effect. Building on work by Daniel and Titman (2006), who argue that the book-to-market effect is driven by the reversal of intangible returns, I find that institutions tend to buy (sell) shares in response to positive (negative) intangible information and that the reversal of the intangible return is most pronounced among stocks for which a large proportion of active institutions trade in the direction of intangible information. Furthermore, the book-to-market effect is large and significant in stocks with intense past institutional trading but nonexistent in stocks with moderate institutional trading. This influence of institutional trading on the book-to-market effect is distinct from that of firm size. These results are consistent with the view that the tendency of institutions to trade in the direction of intangible information exacerbates price overreaction, thereby contributing to the value premium.     

The turn-of-the-year effect and tax-loss-selling by institutional investors

Prior studies attribute the turn-of-the-year effect whereby small capitalization stocks earn unusually high returns in early January to tax-loss-selling by individual investors and window-dressing by institutional investors. My results suggest that a significant portion of the effect on turn-of-the-year returns that prior studies attribute to window-dressing is actually attributable to tax-loss-selling by institutional investors. Among small capitalization stocks, I find that institutional investors with strong tax incentives and weak window-dressing incentives realize significantly more losses in the fourth quarter than in the first three quarters of the calendar year, and that their fourth quarter realized losses have a significant impact on turn-of-the-year returns. A one percentage point change in these institutional investors' fourth quarter realized losses scaled by a firm's market capitalization results in an increase of 47 basis points in the firm's average daily return over the first three trading days of January, which represents a 46 percent change for the mean firm.     

Short-selling restrictions and firms’ environment responsibility

We examine the effect of short selling on firms’ environmental pollution control behavior. Using novel data from Chinese listed firms, we demonstrate that when the short selling of stocks is permitted, the respective firms invest more in pollution protection. Consequently, ex ante threats to short selling could potentially explain firms’ investment in pollution protection. In contrast, we do not find a positive relation between margin trading and firms’ pollution protection expenses. We further discover that the effect of short selling is more pronounced in firms with lower institutional ownership and lower market competition. These findings shed light on the role of short sales in pollution abatement.     

Stock splits to profit insider trading: Lessons from an emerging market

Stock splits have long presented financial puzzles: Why are they undertaken? Why are they associated with abnormal returns? Abnormal returns, particularly those coming shortly before a split’s announcement date, should raise strong suspicions of insider trading, particularly in nations with weak regulatory structures. We examined the 718 split events in the emerging stock market of Vietnam from 2007 through 2011. We found evidence consistent with illegal insider trading, particularly in firms that were vulnerable to insider manipulation and, therefore, more likely to split their stocks. When vulnerable firms’ stocks did split, they provided significant excess short-term returns. Tellingly, the abnormal returns on those stocks prior to the split announcements were also extremely high, indeed higher than their abnormal post-announcement returns. Moreover, trading volume increased prior to the split announcement date. This suspicious pattern is what we would expect if insiders were trading on their knowledge. We propose that illegal insider trading in contexts where it is possible to escape serious penalty provides a previously undiscussed and cogent explanation for both stock splits and abnormal short-term returns.     

Institutional trading,information production,and corporate spin-offs

We use a large sample of transaction-level institutional trading data to analyze, for the first time in the literature, the role of institutional investors as producers of information around corporate spin-offs. Our results may be summarized as follows. First, there is a significant imbalance in post-spin-off institutional trading between the equity of new parent firms versus subsidiaries, suggesting that spin-offs increase institutional investors' welfare by relaxing a trading constraint. This imbalance in institutional trading is driven by differences in information asymmetry across the two spun-off firm divisions. Second, institutional trading around spin-offs has significant predictive power for the announcement effect of a spin-off and for post-spin-off long-run stock returns. Third, institutional investors are able to realize significant abnormal profits by trading in the subsidiary firm equity in the first quarter post-spin-off. Overall, we show that spin-offs enhance information production by institutional investors, who profit from this enhanced information production.     

TAX-LOSS SELLING,INSTITUTIONAL INVESTORS,AND THE JANUARY EFFECT: A NOTE

In this note we test the hypothesis that trading by tax-motivated individual investors is responsible for the January effect. We examine the ownership structure of a large sample of firms over a four-year period and find that the small firms that usually exhibit high January returns have low institutional ownership. After controlling for firm size, we still find that institutional ownership is significantly related to January abnormal returns. These results suggest that one reason the January effect may concentrate in small firms is because these firms are held by tax-motivated individual investors.     

Sovereign wealth fund investment and the return-to-risk performance of target firms

This paper investigates the relationship between sovereign wealth fund (SWF) investment and the return-to-risk performance of target firms. Specifically, we find that target firm raw returns decline following SWF investment. Though risk also declines following SWF investment, we find that SWF investment is associated with a reduction in the compensation of risk over the 5 years following acquisition. Firm volatility decomposition suggests that idiosyncratic risk is what mainly drives these impacts toward decline. Employing a multinomial logit framework wherein combinations of target returns and risk movements are categorized, we see that, in cases of foreign investment, SWFs’ target firm performance most closely resembles that of other government-owned firms. The observed results are inconsistent with predictions of higher volatility and improved returns due to monitoring firm activities from the institutional investor literature. This suggests that SWFs may not provide some of the benefits that are offered by other institutional investors.     

Institutional Trade Persistence and Long‐Term Equity Returns

Recent studies show that single‐quarter institutional herding positively predicts short‐term returns. Motivated by the theoretical herding literature, which emphasizes endogenous persistence in decisions over time, we estimate the effect of multiquarter institutional buying and selling on stock returns. Using both regression and portfolio tests, we find that persistent institutional trading negatively predicts long‐term returns: persistently sold stocks outperform persistently bought stocks at long horizons. The negative association between returns and institutional trade persistence is not subsumed by past returns or other stock characteristics, is concentrated among smaller stocks, and is stronger for stocks with higher institutional ownership.     

Which types of analyst firms are more optimistic?

Research optimism among securities analysts has been attributed to incentives provided by underwriting activities. We examine how analysts’ forecast and recommendation optimism varies with the business activities used to fund research. We find that analysts at firms that funded research through underwriting and trading activities actually made less optimistic forecasts and recommendations than those at brokerage houses, who performed no underwriting. Optimism was particularly low for bulge underwriter firm analysts, implying that firm reputation reduces research optimism. There is also evidence that analysts at retail brokerage firms are more optimistic than those serving only institutional investors. We conclude that analyst optimism is at least partially driven by trading incentives.     

The price impact of foreign institutional herding on large-size stocks in the Taiwan stock market

This study constructs a panel threshold regression model to explore the price impact of foreign institutional herding of firms listed in the Taiwan Stock Exchange during January 2000 to June 2008. Our panel threshold model is constructed to explore the price impact of foreign institutional investors?? herding in the Taiwan stock market after controlling the firm size. By examining the presence of threshold effect, this study analyzes whether firm size would obviously and asymmetrically affect the explanation for the effect of changes in foreign investors?? share ownership on abnormal returns. The empirical results of this study find the significant evidence of threshold effect which divides the stocks into large-size and small-size firms. It is found that foreign institutional investors in the Taiwan stock market tend to hold large-size stocks listed in the Taiwan Stock Exchange. There is an apparent increase in the subsequent abnormal returns on large-size stocks bought in bulk by foreign investors. The signals of changes in share ownership initiated by foreign institutional investors would reveal further information for improving the performance of asset reallocation decisions in Taiwan. The panel threshold model constructed in this paper well describes the price impact of institutional herding yet eschews the possibly subjective data snooping issue resulting from the two-pass sorting method as proposed by previous related researches.     

The value of information in cross-listing

Until 2004, the London Stock Exchange allowed firms to be traded in the specialized SEAQ-I platform without the firm's involvement. Trading only required an application by one LSE trading member firm. Such an institutional arrangement, which made cross-listings possible without a firms' approval, allows for a direct test of different theories of foreign listing. In particular, we can differentiate between market segmentation and liquidity hypotheses, which rely on a firm trading in a foreign exchange and informational hypotheses, which assume that a firm makes the decision to trade in a foreign exchange. We identify a sample of international firms that are admitted to trading on London's SEAQ-I platform without their involvement. We estimate the valuation effects of this multi-market trading event and compare them to those enjoyed by firms that pursue a standard London Stock Exchange cross-listing. A cross-sectional abnormal returns analysis documents significant evidence in support of information-related hypotheses of cross-listing. An analysis of the firms' home market price volatility corroborates the results.     

Delegated trading and the speed of adjustment in security prices

Institutional trading arrangements often involve the portfolio manager delegating the task of trade execution to a separate division within the firm. We model the agency conflict that arises in this setting and show that optimal performance benchmarks often create an incentive to execute orders contrary to concurrent information flow. We hypothesize that aggregate contrarian trading resulting from widespread application of such benchmarks leads to delays in the assimilation of information in security prices. Using institutional trading data, we document the hypothesized contrarian trading pattern and relate the pattern to price-adjustment delays in the response of individual stocks to index futures returns. The evidence supports the assertion that delegated institutional trading contributes to these delays.     

TIME-VARYING FACTORS AND CROSS-AUTOCORRELATIONS IN SHORT-HORIZON STOCK RETURNS

In this paper I show that the lead-lag pattern between large and small market value portfolio returns is consistent with differential variations in their expected return components. I find that the larger predictability of returns on the portfolio of small stocks may be due to a higher exposure of these firms to persistent (time-varying) latent factors. Additional evidence suggests that the asymmetric predictability cannot be fully explained by lagged price adjustments to common factor shocks: (i) lagged returns on large stocks do not have a strong causal effect on returns on small stocks; (ii) trading volume is positively related to own- and cross-autocorrelations in weekly portfolio returns; and (iii) significant cross-autocorrelation exists between current returns on large stocks and lagged returns on small stocks when trading volume is high.     

Did institutions herd during the internet bubble?

We examine the trading behavior of institutional investors during the internet bubble and crash of 1998–2001, and its impact on stock prices. Similar to some recent findings concerning the trading behavior of hedge funds and NASDAQ 100 stocks, we find that during the bubble all types of institutions herded with great intensity into internet stocks for a comprehensive sample of institutional investors and internet stocks. In addition to this, we present three entirely new results. First, institutional herding was much greater than what can be explained by momentum trading. Second, institutions as a group continued to increase their holdings of internet stocks for two quarters past the market peak during the first quarter of 2000, and three quarters past the peak for individual stock prices, suggesting that institutions were unable to time the price peaks. Finally and most importantly, we find positive abnormal returns contemporaneous with institutional herding and negative abnormal returns (reversals) at the point that herding ceased. This finding suggests that institutions’ trading created temporary price pressures, and may have contributed to the bubble.     

Firm Size and Turn-of-the-Year Effects in the OTC/NASDAQ Market

This paper examines the turn-of-the-year effect, the firm size effect, and the relation between these two effects for a sample of OTC stocks traded via the NASDAQ reporting system over the period 1973–1985. We find results similar to those based solely on listed stocks. The importance of these findings stems from the existence of nontrivial differences between the characteristics of the OTC/NASDAQ sample and the samples of listed firms examined previously in the literature. We also find that NASDAQ quoted bid-ask spreads are highly negatively correlated with firm size, are not highly seasonal, and are large enough to preclude trading profits based upon a knowledge of the seasonality of small firms' returns.     

Can margin traders predict future stock returns in Japan?

A growing body of literature suggests that investor sentiment affects stock prices both at the firm level and at the market level. This study examines the relationship between investor behavior and stock returns focusing on Japanese margin transactions using weekly data from 1994 to 2003. Margin trading is dominated by individual investors in Japan. In analysis at the firm level, we find a significant cross-sectional relationship between margin buying and stock returns. Both market-level and firm-level analyses show that margin buying traders follow herding behavior. They seem to follow positive feedback trading behavior for small-firm stocks and negative feedback trading behavior for large firm stocks. Our results show that information about margin buying helps predict future stock returns, especially for small-firm stocks at short horizons. The predictive power does not diminish even after controlling for firm size and liquidity.     

Cross‐firm return predictability and accounting quality

We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both sets of firms. Consistent with this, results indicate that stock returns of good AQ firms significantly positively predict one‐month‐ahead stock returns to industry‐ and size‐matched poor AQ firms. In testing a delayed‐information‐processing mechanism behind the cross‐firm return predictability, we find that: (i) analyst earnings forecast revisions (FR) mimic the return patterns, as FR of good AQ firms significantly positively predict one‐month‐ahead FR of matched poor AQ firms; (ii) cross‐firm return predictability is concentrated in months with substantial news arrival, including months with Federal Open Market Committee (FOMC) rate announcements, but not in no‐news months; (iii) cross‐firm return predictability is stronger when the good AQ predictor firms have a richer information environment than poor AQ firms as proxied by analyst following, institutional ownership, and the presence of a Big 4 auditor. Collectively, the results uncover a new relation between accounting quality and stock return dynamics.