In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions to this problem. Corporate finance has relied on clustered standard errors, while asset pricing has used the Fama-MacBeth procedure to estimate standard errors. This paper examines the different methods used in the literature and explains when the different methods yield the same (and correct) standard errors and when they diverge. The intent is to provide intuition as to why the different approaches sometimes give different answers and give researchers guidance for their use.

/pdf/estimating-standard-errors-in-finance-panel-data-sets-1rry6mh9tl.pdf

Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches

Investor Psychology and Security Market Under- and Overreactions

In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms or across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions to this problem. Corporate finance has relied on clustered standard errors, while asset pricing has used the Fama-MacBeth procedure. This paper examines the different methods used in the literature and explains when the different methods yield the same (and correct) standard errors and when they diverge. The intent is to provide intuition as to why the different approaches sometimes give different answers and give researchers guidance for their use.

/pdf/estimating-standard-errors-in-finance-panel-data-sets-4g0tck66kn.pdf

Enclosed is a copy of the Board of Governors’ Semiannual Agenda of Regulations for the period August 1, 1980 through February 1, 1981. The Semiannual Agenda provides you with information on those regulatory matters that the Board now has under consideration or anticipates considering over the next six months, and is divided into three parts: (1) regulatory matters that the Board had considered during the previous six months on which final action has been taken; (2) regulatory matters that have been proposed for public comment and that require further Board consideration; and (3) regulatory matters that the Board may consider over the next six months.

Federal Reserve Bank of New Yorkの制定せる財務諸表様式について

We test for firm-level asset investment effects in returns by examining the cross-sectional relation between firm asset growth and subsequent stock returns. As a test variable, we use the year-on-year percentage change in total assets. Asset growth rates are strong predictors of future abnormal returns. Asset growth retains its forecasting ability even on large capitalization stocks, a subgroup of firms for which other documented predictors of the cross-section lose much of their predictive ability. When we compare asset growth rates with the previously documented determinants of the cross-section of returns (i.e., book-to-market ratios, firm capitalization, lagged returns, accruals, and other growth measures), we find that a firm's annual asset growth rate emerges as an economically and statistically significant predictor of the cross-section of U.S. stock returns.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID999706_code162849.pdf?abstractid=760967&rulid=41369&mirid=3

Asset Growth and the Cross-Section of Stock Returns

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. INVESTORS WHO HAVE ACCESS to private information can choose to trade in the stock market or in the options market. Given the high leverage achievable with options and the built-in downside protection, one might think the options market would be an ideal venue for informed trading. If informed traders do trade in the options market, we would expect to see price discovery in the options market. That is, we would expect at least some new information about the stock price to be reflected in option prices first. Establishing that price discovery straddles both the stock and options markets is important for several reasons. In a frictionless, dynamically complete market, options would be redundant securities. This paper contributes to the understanding of why options are relevant in actual markets, by providing the first unambiguous evidence that stock option trading contributes to price discovery in the underlying stock market. Further, we document that the level

/pdf/informed-trading-in-stock-and-option-markets-3w9iuubmvi.pdf

Informed Trading in Stock and Option Markets

Stealth-trading: Which traders’ trades move stock prices? ☆

/pdf/information-asymmetry-market-segmentation-and-the-pricing-of-3e5camo3e1.pdf

Sugato Chakravarty

Papers

Informed Trading in Stock and Option Markets

Stealth-trading: Which traders’ trades move stock prices? ☆

Information Asymmetry, Market Segmentation and the Pricing of Cross-listed Shares: Theory and Evidence from Chinese A and B Shares

Empirical evidence on the evolution of liquidity: Choice of market versus limit orders by informed and uninformed traders

An Integrated Model of Market and Limit Orders