We study the impact of noise traders' limited attention on financial markets. We exploit episodes of sensational news (exogenous to the market) that distract noise traders. On “distraction days”, trading activity, liquidity, and volatility decrease, and prices reverse less among stocks owned...

We show that the standard econometric framework typically yields inconsistent estimates of price discovery measures in the presence of richer market microstructure noise dynamics. We address this errors-in-variable issue using instrumental variables. We devise valid instruments for two...

Recent empirical research has identified a significant amount of volatility in stock prices that cannot be easily explained by changes in fundamentals; one interpretation is that asset prices respond not only to news but also to irrational "noise trading." We assess the welfare effects and...

We document both theoretically and empirically a major dependence in both the Information Shares (IS) and Component Shares (CS) approaches to the estimation of the price discovery metrics on the errors arising out of the inversion method of the option value to find the implied stock price. We...

We document both theoretically and empirically a major dependence in both the Information Shares (IS) and Component Shares (CS) approaches to the estimation of the price discovery metrics on the errors arising out of the inversion method of the option value to find the implied stock price. We...

We extend Kyle's (1985) model of insider trading to the case where liquidity provided by noise traders follows a general stochastic process. Even though the level of noise trading volatility is observable, in equilibrium, measured price impact is stochastic. If noise trading volatility is...

We document both theoretically and empirically a major dependence in both the Information Shares (IS) and Component Shares (CS) approaches to the estimation of the price discovery metrics on the errors arising out of the inversion method of the option value to find the implied stock price, as...

Return R2 is the statistic obtained by regressing individual stock returns on return factors. We find that stocks with lower R2 are more difficult to value, tend to be affected by investor sentiment, attract retail investors, and are avoided by institutional investors. We examine the relation...

The paper investigates the role of speculation in the Liverpool cotton futures market between 1921 and 1929. The analysis is based on historical descriptions of the working of speculation in commodity markets and is related to the tenets of behavioural finance. The model posits the existence of...

How do the intraday stock traders behave in the stock markets? The paper explores the query with the real-time stock trade data for the trade time, the trade price and the trade volume of a few scripts listed in both the BSE and NSE stock markets in India. It also puts forward a theoretical...