We define a delayed disclosure ratio (DD) as the fraction of 10-Q financial statement items that are withheld at the earlier quarterly earnings announcement. We find that higher DD firms have a greater delay in investor and analyst response to earnings surprises: (i) the fraction of total market...

Researchers in accounting have recently provided evidence of a striking increase in the usefulness of earnings announcements based on stock market price and volume reactions (Beaver et al., 2018; Barron et al., 2018). Price reactions, however, are unable to capture investor disagreement and volume...

This study examines the impact of credit rating announcement on stock returns of 22 banks rated by the Pakistan Credit Rating Agency and listed in Karachi Stock Exchange. Daily stock returns have been used, covering period from 2008 to 2014. The study uses event study methodology; a fifteen days...

A sharp increase in the popularity of commodity investing in the past decade has triggered an unprecedented inflow of institutional funds into commodity futures markets, referred to as the financialization of commodities. In this paper, we explore the effects of financialization in a model that...

Empirical evidence indicates that trades by institutional investors have sizable effects on asset prices, generating phenomena such as index effects, asset-class effects and others. It is difficult to explain such phenomena within standard representative-agent asset pricing models. In this...

This paper examines the contribution of closing pressure and predatory trading to the formation of the negative settlement price of NYMEX West Texas Intermediate (WTI) Crude Oil futures on April 20, 2020. We construct a theoretical model and show that the eagerness to close long positions,...

This paper extends the study of Herrmann and Thomas (2005) on granularity in analyst forecasts at multiples of nickels and finds that forecasts at multiples of nickels are more optimistic, and induce weaker market responses. Granularity in analyst forecasts combined with managers’ incentive to...

In this study we examine changes in the precision and the commonality of information contained in individual analysts' earnings forecasts, focusing on changes around earnings announcements. Using the empirical proxies suggested by the Barron et al. (1998) model that are based on the...

We examine the predictability of 299 capital market anomalies enhanced by 30 machine learning approaches and over 250 models in a dataset with more than 500 million firm-month-anomaly observations. We find significant monthly (out-of-sample) returns of around 1.8-2.0%, and over 80% of the models...

Theory suggests that the informativeness of price at the time of an earnings announcement increases with the number of informed traders who possess superior information to process news from firm disclosures (Kyle 1985; Admati and Pfleiderer 1988; Kim and Verrecchia 1994). In this paper, we investigate...