Daily institutional trades and stock price volatility in a retail investor dominated emerging market

We examine the short-run dynamic relation between daily institutional trading and stock price volatility in a retail investor-dominated emerging market. We find a significantly negative relation between volatility and institutional net trading that is mainly due to the unexpected institutional trading. The price volatility–institutional trade relation differs for institutional buys and institutional sells, and for small and large stocks. Institutional investors herd-trade in large stocks, but do not systematically engage in positive-feedback trading. We argue that the net impact of informational and noninformational institutional trades determines the relation between volatility and institutional trading, and that the relation is negative when informational trading by institutions prevails.     

International Evidence on Institutional Trading Behavior and Price Impact

This study characterizes institutional trading in international stocks from 37 countries during 1997 to 1998 and 2001. We find that the underlying market condition is a major determinant of the price impact and, more importantly, of the asymmetry between price impacts of institutional buy and sell orders. In bullish markets, institutional purchases have a bigger price impact than sells; however, in the bearish markets, sells have a higher price impact. This differs from previous findings on price impact asymmetry. Our study further suggests that price impact varies depending on order characteristics, firm‐specific factors, and cross‐country differences.     

What Makes Investors Trade?

A unique data set allows us to monitor the buys, sells, and holds of individuals and institutions in the Finnish stock market on a daily basis. With this data set, we employ Logit regressions to identify the determinants of buying and selling activity over a two-year period. We find evidence that investors are reluctant to realize losses, that they engage in tax-loss selling activity, and that past returns and historical price patterns, such as being at a monthly high or low, affect trading. There also is modest evidence that life-cycle trading plays a role in the pattern of buys and sells.     

Order imbalance and liquidity supply: Evidence from the bubble burst of Nasdaq stocks

In this study we analyze the effect of order imbalance on the quotation behavior of Nasdaq market makers. We find that Nasdaq market makers use both price and quantity quotes when dealing with order imbalances. However, order imbalance affects only price movement, not spreads. We also find that Nasdaq market makers quote more shares and compete more intensively on bid-side (ask-side) when public sells (buys) exceed public buys (sells). These suggest that market makers increase liquidity supply when order imbalances exist. More interestingly, we show that both market conditions and price movements affect investors' trading behavior.     

Impacts of trades in an error-correction model of quote prices

In this paper we analyze and interpret the quote price dynamics of 100 NYSE stocks stratified by trade frequency. We specify an error-correction model for the log difference of the bid and the ask price with the spread acting as the error-correction term, and include as regressors the characteristics of the trades occurring between quote observations, if any. From this model we are also able to extract the implied model for the spread and the mid-quote. We find that short duration and medium volume trades have the largest impacts on quote prices for all one hundred stocks. Further, we find that buys have a greater impact on the ask price than on the bid price, while sells have a greater impact on the bid price than on the ask price. Both buys and sells increase spreads in the short run, but in the absence of further trades, the spreads mean revert. Trades have a greater impact on quotes for the infrequently traded stocks than for the more actively traded stocks.     

The Timing of Opening Trades and Pricing Errors

After demonstrating that a zero investment trading strategy that buys stocks with overnight returns below the market average and sells stocks with overnight returns above the market average earns more than 1% monthly profit, I demonstrate that this profit is greater for stocks that start trading more quickly than for other stocks. These results control for trading costs. The resulting pricing errors are a material portion of stock price volatility and suggest that a quick response to overnight information adds non‐information‐based stock volatility to stock prices.     

IPO Trading without Market Makers or Underwriter Price Support

We investigate the trading behavior and liquidity supply of Chinese initial public offerings (IPOs) that trade in an order‐driven market system with pure limit order books where no market makers or price support is allowed. We find large trades and quoted depths dominate the first day of trading, but this pattern quickly reverses as small trades and quoted depths are more prevalent on subsequent trading days. Quoted depths are positively related to the number of shares offered in the IPO and trade size, but are negatively related to underpricing. Trade size and transaction immediacy are positively related, and large and positive (negative) order imbalance is associated with more aggressive buys (sells). Finally, long‐run performance is not related to initial order imbalance. Overall, our results suggest that despite underwriters not participating in the IPO aftermarket, liquidity provision evolves very quickly and price discovery is immediately reflected in prices.     

The dynamics of individual and institutional trading on the Shanghai Stock Exchange

We investigate the daily dynamic relation between returns and institutional and individual trades in the emerging Chinese stock market. Consistent with the hypotheses of trend-chasing and attention-grabbing trading, we find that the response of individual trading to return shocks is much stronger than that of institutional trading, and individuals are net buyers following return shocks. Second, we find that past individual buys and sells have predictive power, whereas past institutional buys and sells have predictive power for market returns in longer horizons. However, both institutional and individual trading activities are more strongly related to past trades than past returns, and individual trading is also influenced by institutional trading. Moreover, we find that institutional trading in the largest quintile leads the trading in the smallest quintile, but no such lead–lag relation is found for individual trades. Finally, we find that the average cumulative abnormal trading volume of individuals is much larger than that of institutions around the firms' earnings announcement, suggesting that less-informed individual investors are more heavily influenced by firm-specific information disclosures and attention-grabbing events.     

A functional approach to the price impact of stock trades and the implied true price

We propose a functional approach to estimate the instantaneous price impact of a trade and to infer an implied true price. Our model expresses price impact as an S-shaped function of signed volume. It has two parameters, one for price impact and one for liquidity depth. The latter measures the differential impact of small and large trades. The price impact is instantaneous, that is, it occurs at the instant of trade execution. Our specification also permits the price impact of buys and sells to be asymmetric. We compute an implied true price from our model, and we find that it is closer than the quote midpoint to the unobservable true price. Our empirical analysis also shows that the effective spread, which is computed using the midpoint, has an upward bias, and that the implicit transaction costs may be lower than previous estimates.     

Limited investor attention,relative fundamental strength,and the cross-section of stock returns

We explore the underlying reasons for the apparent mispricing of firms based on fundamental information. We document that a relative fundamental strength strategy that buys (sells) firms with strong (weak) fundamentals is highly profitable for up to three years. The results cannot be explained by either price or earnings momentum, are robust to risk adjustments based on standard asset pricing models, and survive a battery of robustness tests. The strategy also works better among small firms, as well as firms with low analyst coverage and a high probability of informed trading. Our empirical findings support the hypotheses of limited investor attention and informed trading.     

Insider trading,future earnings,and post-earnings announcement drift

This paper examines the association between insider trading prior to quarterly earnings announcements and the magnitude of the post-earnings announcement drift (PEAD). We conjecture and find that insider trades reflect insiders’ private information about the persistence of earnings news. Thus, insider trades can help investors better understand and incorporate the time-series properties of quarterly earnings into stock prices in a timely and unbiased manner, thereby mitigating PEAD. As predicted, PEAD is significantly lower when earnings announcements are preceded by insider trading. The reduction in PEAD is driven by contradictory insider trades (i.e., net buys before large negative earnings news or net sells before large positive earnings news) and is more pronounced in the presence of more sophisticated market participants. Consistent with investors extracting and trading on insiders’ private information, pre-announcement insider trading is associated with smaller market reactions to future earnings news in each of the four subsequent quarters. Overall, our findings indicate insider trading contributes to stock price efficiency by conveying insiders’ private information about future earnings and especially the persistence of earnings news.     

Pricing and information content of block trades on the Shanghai Stock Exchange

We study the pricing mechanisms and information content of block trades on the Shanghai Stock Exchange (SSE) for the six year period from 2003 to 2009.There is an average of about 4% block discount, which is large in magnitude and statistically significant, reflecting compensation for locating counterparties and the cost of negotiating terms. We also examine permanent price impacts of the trades and find that discount block trades (DBTs) have significant negative permanent price impacts for various periods extended up to 60 trading days after the block trades. Conversely, premium block trades (PBTs) have small and statistically insignificant negative permanent price impacts, suggesting that buyers do not possess valuable private information. Finally, we classify the trades into buys and sells using a set of stricter rules and note similar results to those of DBTs and PBTs. Of additional note, block sells on stocks with expirations of restricted shares seem to have significant information content. As these trades are more likely to be originated from insiders, our results suggest that they strategically time the sale of these shares to maximize gains.     

Mutual Fund Stock‐Picking Skill: New Evidence from Valuation‐ versus Liquidity‐Motivated Trading

We propose a novel Trade Motivation Matrix that allows differentiating funds’ valuation‐motivated (VM) and liquidity‐motivated (LM) trades on single trade level. It thus enables analyses of stock‐picking skill on three levels: trade, stock, and fund. On trade level, we find significant outperformance of VM buys and significant underperformance of VM sells, indicating manager stock‐picking skills, especially during illiquid market periods. VM trades outperform LM trades, confirming negative performance effects due to flow risk, especially when market liquidity is low. On stock level, collective VM buying explains high future stock returns while collective VM selling is related to future losses, indicating wisdom of the crowd. On fund level, higher trading discretion, measured by a higher degree of VM trading, is observed for smaller, older funds holding higher cash buffers. Finally, higher trading discretion is related to higher future fund alpha, especially during illiquid times.     

Intraday asymmetric liquidity and asymmetric volatility in FTSE-100 futures market

In this study, we use both quote and trade data for the FTSE-100 futures for 2001–2004 in order to examine asymmetric volatility in the context of extreme sells. We define extreme sells as ask quotes that involve large percentages of total depth, selling orders executed at prices much closer to bids than to asking prices, and consecutive sell-initiated trades. Sell trades tend to demand higher liquidity than buys, while extreme trading conditions demand more liquidity than non-extreme ones. In extreme sells, liquidity demand surpasses supply. We show that asymmetric liquidity (quote demand vs. supply) better explains the asymmetric volatility observed in high-frequency data than trade information does. Ask-depth share plays a dominant role in asymmetric volatility, while order flow (sell-initiated volume share) makes a far smaller contribution.     

Information-based stock trading and managerial incentives: evidence from China's stock market

This paper uses stock price informativeness, or information-based stock trading, to help explain the pay–performance sensitivity (PPS) of chief executive officer (CEO) compensation in China's listed firms. We argue that higher stock price informativeness, which we measure by the probability of informed trading, helps and encourages shareholders to incentivize the top management team based on stock market performance. The regression results support our argument and show that a higher level of stock price informativeness is associated with higher CEO PPSs. Moreover, the impact of stock price informativeness on CEO incentives is stronger for privately controlled listed firms than it is for state-controlled listed firms. The results also hold when information asymmetry is approximated by the accuracy and dispersion of the earnings forecasts made by financial analysts.     

Speculate against speculative demand

Measuring individual investors' speculative demand for stocks using the Google search volume index (hereafter “SVI”) on penny stocks, we examine how it relates to the return dynamics of U.S. stock indices. Speculative demand leads to a short-term return reversal. A simple trading strategy that sells a stock index when SVI is high and buys it otherwise generates annual excess returns of up to 20% over the buy-and-hold strategy. Applying the trading strategy to the corresponding ETFs and index futures yields similar results. Transaction costs, liquidity risk and strong time variation of the excess returns can potentially limit the exploitation of arbitrage opportunities.     

Stock-price manipulation

It is generally agreed that speculators can make profits frominsider trading or from the release of false information. Bothforms of stock-price manipulation have now been made illegalIn this article, we ask whether it impossible to make profitsfrom a different kind of manipulation, in which an uninformedspeculator simply buys and sells shares. We show that in a rationalexpectations framework, where all agents maximize expected utility,it is possible for an uninformed manipulator to make a profit,provided investors attach a positive probability to the manipulatorbeing an informed trader.     

The Impact of Two-Tier Producer and Consumer Food Pricing in India

India's government buys wheat, rice, and sugar at below themarket price and then sells it in ration shops in the urbanand rural areas. The rest is sold in the open market. This createsa two-tier price system for consumers and producers. Supportersof the government's procurement policy claim that it raisesthe open-market price so much that it increases the sales-weightedaverage of the rationed price and the open-market price; inthat case, both the farm sector as a whole and low-income urbanconsumers with access to the ration shops gain, and high-incomeurban consumers who buy at the open-market price lose. Thisview has provided an intellectual basis for the policy. This article examines a variety of cases: with and without rationing;with rationing through ration cards or queuing; with and withoutaccess by the urban rich to the ration shops; with or withoutfree trade; and with a marketable surplus having either positive,negative, or zero price elasticity. The impact of the policyon the average price is in general ambiguous or negative. Underthe most plausible assumptions, it is negative, implying thatfarmers as a whole lose from the procurement policy.     

The relationship between the frequency of news release and the information asymmetry: The role of uninformed trading

This paper shows that the degree of information asymmetry is lower for firms with more frequent news releases. The relation holds for various measures of information asymmetry such as the probability of information-based trading (PIN), permanent price impact, and adverse selection component of bid-ask spread, even after adjusting for endogeneity between news release and information asymmetry. By decomposing the PIN into intensities of uninformed and informed trades, similarly to Brown and Hillegeist (2007), we find that intensity of uninformed trading increases much more than that of informed trading for firms with more frequent news releases. As a result, information asymmetry, as is measured by PIN, decreases for such firms due to the large increase in the intensity of uninformed trading. Our findings highlight not only the importance of news releases in leveling the playing field of investors but also the role of uninformed investors in reducing trading cost due to information asymmetry.     

Do markets anticipate capital structure decisions? — Feedback effects in equity liquidity

We analyze the impact of expected (targeted) capital structure decisions on information asymmetries. We measure information asymmetry from equity liquidity through the use of an information asymmetry index that is based on six measures that capture trading activity, trading costs, and the price impact of order flow. Modeling the joint determination of leverage and liquidity, the data indicate that expected increases in leverage (target leverage changes) decrease the information asymmetry index. This is consistent with the signaling hypothesis of Ross (1977), and is equivalent to increases in equity liquidity.