Explaining Intraday Pattern of Trading Volume from the Order Flow Data

Based on a comprehensive order flow data from the Taiwan stock market, this study examines directly how the intraday pattern of trading volume is related to the trading behavior of both informed and uninformed traders. The results indicate that both informed and uninformed investors have a strong desire to place orders at the market open and the close. Most of the orders at the market open are conservative and hence are waiting orders for price priority. The findings show that intraday trading volume as well as the real orders from both types of investors are J-shaped. In addition, both information and liquidity trading can explain the intraday pattern of trading volume. However, the impact of liquidity trading on volume is slightly higher than that of information trading.     

Market-wide impact of the disposition effect: evidence from IPO trading volume

I study empirically the market-wide importance of investors’ reluctance to realize losses by investigating IPO trading volume. In IPOs all initial investors have a common purchase price, and the disposition effect should thus be at its strongest. Turnover is significantly lower for negative initial return IPOs when the stock trades below the offer price, and increases significantly on the day the price surpasses the offer price for the first time. The increase in volume lasts for two weeks. On a daily level, attaining new maximum and minimum stock prices also produces strong increase in volume. These results suggest that reference price effects play a role in aggregate stock market activity.     

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.     

The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes

The media are increasingly recognized as key players in financial markets. I investigate their causal impact on trading and price formation by examining national newspaper strikes in several countries. Trading volume falls 12% on strike days. The dispersion of stock returns and their intraday volatility are reduced by 7%, while aggregate returns are unaffected. Moreover, analysis of return predictability indicates that newspapers propagate news from the previous day. These findings demonstrate that the media contribute to the efficiency of the stock market by improving the dissemination of information among investors and its incorporation into stock prices.     

The type of corporate announcements and its implication on trading behaviour

I report the empirical evidence to show how firms’ expected and unexpected announcements affect investors’ trading behaviour. I find that trading volume decreases before expected announcements, either scheduled or unscheduled, consistent with models that predict that discretionary liquidity traders may postpone their trading until after an anticipated news release. I also find that the magnitude of pre-announcement trading reactions is negatively associated with the level of pre-disclosure information asymmetry. I further find that trading volume is boosted before unexpected announcements, and the relation between the magnitude of pre-announcement trading reactions and the pre-disclosure information asymmetry is weakly significant or insignificant.     

Information costs and liquidity effects from changes in the FTSE 100 list

Abstract

In this paper we examine the stock price effect of changes in the composition of the FTSE 100 over the time period of 1984–2001. Like the S&P 500 listing studies, we find that the price and trading volume of newly listed firms increases. The evidence is consistent with the information cost/liquidity explanation. This is because investors hold stocks with more available information, implying that they have lower trading costs. This explains the increase in the stock price and trading volume of newly listed stocks to the FTSE 100 List. We find the reverse effect for the deletions from the FTSE 100.     

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.     

Daily Stock Trading by Investor Type and Information Asymmetry: Evidence from the Korean Market

We examine the influence of trading by heterogeneous investors on information asymmetry in the Korean stock market, which includes domestic and foreign institutional investors and individual investors. In particular, we examine the relationship between the daily trading volume and the level of information asymmetry reflected in the stock price. The results reveal that high-volume daily trading by domestic institutional and individual investors increases the degree of information asymmetry in the short term, but is more evident for individual investors. Foreign institutional investors tend to mitigate the information asymmetry. Finally, our findings are robust to an alternative measure of investor trading.     

Flight-to-safety and retail investor behavior

Flight-to-safety (FTS) episodes are associated with substantial yet short-lived changes in expected returns on equities and bonds. These price changes are typically surrounded by active trading and/or risk transfer between different investors. Using aggregate net exchanges, flows from bond to equity mutual funds, in the US for a period 1984 until 2015, I empirically investigate retail investor behavior around FTS episodes. Overall, I find a reversal statistical relation between net exchanges and market excess returns. A one-standard-deviation shock to net exchanges leads to an increase of market excess return of 1.75%, of which 72% is reversed within 5 months. In particular, FTS episodes are preceded by periods where more risk averse investors, e.g. retail investors, rebalance their portfolios towards risky assets. A trading strategy that is based on signals from past net exchanges outperforms the market portfolio, significantly during FTS periods by 1.4% monthly. However, I find that the observed reversal relationship is not necessarily due to price ‘noise’ induced by uninformed trading. It is more reasonable that the sudden increase in market stress and selling of risky assets is caused by other demand/supply shocks driven by increased economic uncertainty.     

Brokered versus dealer markets: Impact of proprietary trading with transaction fees

In this study, we consider a one-period financial market with a dealer/broker and an infinite number of investors. While the dealer who trades on his own account (with proprietary trading) simultaneously sets both the transaction fee and the asset price, the broker who brings investors' orders to the market (with no proprietary trading) sets only the transaction fee, given that the price is determined according to the market-clearing condition among investors. We analyze the impact of proprietary trading on the asset price, transaction fee, trading volume, and the welfare of investors. We find that the bid and ask prices set by the dealer who can engage in proprietary trading are more favorable to average investors. As a result, both the trading volume and the transaction fee increase, and social welfare improves.     

Speculative dynamics and price behavior in the Shanghai Stock Exchange

This article examines the extent to which the trading behavior of heterogeneous investors manifests in stock price changes of asset portfolios which constitute the Shanghai Stock Exchange. There are three major findings that materialize. Firstly, reliable statistical evidence of a negative relation between the conditional first and second moments of the return distributions of stock prices lends support to the volatility feedback effect. Secondly, ‘feedback’, or momentum-type investors, are not present in this market as is often detected from the daily price changes of other industrialized markets. Finally, trade volume as a proxy for ‘information-driven’ trading suggests that such investors play a statistically significant role in stock price movements. Parameter estimates from this latter group of investors imply that a rise in stock prices from a high volume trading day is more likely than a rise resulting from a low volume trading day.     

Do market prices reveal the decision models of sophisticated investors?: Evidence from the laboratory

If security prices are fully revealing, then all public information should be reflected in prices, and unsophisticated traders may be able to learn how various types of information affect security valuation by observing prices. A series of laboratory asset markets was conducted to examine whether unsophisticated traders are able to learn to evaluate publicly released information by trading with and observing trades made by a sophisticated trader who knows the valuation implications of the information. We find that unsophisticated traders who participate in an asset market with a sophisticated trader show significant improvement in their ability to use public information on a subsequent price estimation task. Conversely, a control group consisting only of unsophisticated traders shows no improvement. We conclude that market prices convey the sophisticated trader’s private information in a manner that permits unsophisticated investors to learn the stock price implications of a public information release.     

The Impact of Information Release on Stock Price Volatility and Trading Volume: The Rights Offering Case

This paper examines whether information released via rights offering announcements induces changes in price volatility and trading volume of underlying stock. The results of this paper provide support for the release of new information via offering announcements and evidence of its effects on price volatility and volume of underlying stock. Specifically, utilization of the announced information by investors is evidenced by greater trading volume following the announcement date than during the pre-announcement period. We interpret this result to mean that informedness dominates consensus. However, stock price volatility decreased from the pre-announcement period to the post-expiration period of rights offerings.     

Trading Volume, Information Asymmetry, and Timing Information

This paper investigates trading volume before scheduled and unscheduled corporate announcements to explore how traders respond to private information. I show that cumulative trading volume decreases inversely to information asymmetry prior to scheduled announcements, while the opposite relation holds for volume after the announcement. In contrast, trading volume before unscheduled announcements increases dramatically and shows little relation to proxies for information asymmetry. I investigate the behavior of market makers and find that they act appropriately by increasing price sensitivity before all announcements, implying that they extract timing information from their order books.     

Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information

The arrival of public information in the U.S. Treasury market sets off a two-stage adjustment process for prices, trading volume, and bid-ask spreads. In a brief first stage, the release of a major macroeconomic announcement induces a sharp and nearly instantaneous price change with a reduction in trading volume, demonstrating that price reactions to public information do not require trading. The spread widens dramatically at announcement, evidently driven by inventory control concerns. In a prolonged second stage, trading volume surges, price volatility persists, and spreads remain moderately wide as investors trade to reconcile residual differences in their private views.     

期货交易活跃度、波动性与投资者结构关系的实证研究

本文将期货市场上的投资者分为个人与机构两类,基于白糖、优质强筋小麦和PTA三个期货品种的样本数据,探讨了交易结构和持仓结构对期货交易活跃度和期货价格波动性的影响规律。研究结果表明:期货交易活跃度主要受交易结构的影响,而期货价格波动大小主要受持仓结构的影响;根据最优的弹性二次模型结果,两者的弹性均呈现出边际递减的经济学变化规律。     

Informed Trading in Stock and Option Markets

We investigate the contribution of option markets to price discovery, using a modification of Hasbrouck's (1995) "information share" approach. Based on five years of stock and options data for 60 firms, we estimate the option market's contribution to price discovery to be about 17% on average. Option market price discovery is related to trading volume and spreads in both markets, and stock volatility. Price discovery across option strike prices is related to leverage, trading volume, and spreads. Our results are consistent with theoretical arguments that informed investors trade in both stock and option markets, suggesting an important informational role for options.     

Sidelined Investors, Trading-Generated News, and Security Returns

This article studies information blockages and the asymmetricrelease of information in a security market with fixed setupcosts of trading. In this setting, "sidelined" investors maydelay trading until price movements validate their private signals.Trading thereby internally generates the arrival of furthernews to the market. This leads to (1) negative skewness followingprice run-ups and positive skewness following price rundowns(even though the model is ex ante symmetric), (2) a lack ofcorrespondence between large price changes and the arrival ofexternal information, and (3) increases in volatility followinglarge price changes.     

Institutional investor’ proportions and inactive trading

We focus on a typical market anomaly-inactive trading: trading volume shrinks while stock price abnormally jumps. We calibrate a theoretical model with variance ambiguity heterogeneous among investors and illustrate that ambiguity averse investors' proportions enhance trading volume shrinkage and abnormal price jumps. We provide a cross-section analysis of stocks' inactive trading by introducing institutional investors' proportions to measure investor structures' differences among stocks. We also empirically measure relative inactive trading for constituent stocks in S&P 500 from 2014 to 2019 and demonstrate that institutional investors' proportion is negatively related to inactive trading. Finally, we demonstrate that higher proportions of institutional investors lead to less inactive trading anomalies.     

Information shares of two parallel currency options markets: Trading costs versus transparency/tradability

This paper studies whether trading costs or transparency/tradability are more important to price discovery using a unique dataset of currency options that trade simultaneously in two parallel markets. The Over-The-Counter (OTC) market is characterized by sophisticated investors, low trading costs, and low transparency/tradability compared to the Tel-Aviv Stock Exchange (TASE). Pricing errors are much larger on the TASE and the information share of the OTC market is significantly larger than that of the TASE by various information share measures, showing that trading costs and trader type have a first-order effect on price discovery while transparency/tradability have a second-order effect.