In this PERSPECTIVE, I demonstrate that Betas are nearly identical whether or not the returns are adjusted for dividends and whether raw returns are used instead of excess returns. By far, the choice of using weekly or monthly returns or estimating two- or five-year Betas are more impactful than...

In this paper, we propose a nonparametric way to test the hypothesis that time-variation in intraday volatility is caused solely by a deterministic and recurrent diurnal pattern. We assume that noisy high-frequency data from a discretely sampled jump-diffusion process are available. The test is...

We examine moving average (MA) filters for estimating the integrated variance (IV) of a financial asset price in a framework where high-frequency price data are contaminated with market microstructure noise. We show that the sum of squared MA residuals must be scaled to enable a suitable...

In this paper, we show how to estimate the asymptotic (conditional) covariance matrix, which appears in central limit theorems in high-frequency estimation of asset return volatility. We provide a recipe for the estimation of this matrix by subsampling; an approach that computes rescaled copies...

Risk management has undergone a remarkable transformation over the past fifteen years, with most new methods having been designed for the concerns of large institutions operating in well-developed financial markets. This paper addresses a problem faced by smaller institutions operating in...

This study examines three important issues that archival accounting researchers frequently encounter with data from the Center for Research in Security Prices (CRSP). Although the issues appear to be innocuous, few if any studies overtly discuss the remedies or ramifications of the issues. More...

This study employs big data and text data mining techniques to forecast financial market volatility. We incorporate financial information from online news sources into time series volatility models. We categorize a topic for each news article using time stamps and analyze the chronological...

This paper shows that jumps in financial asset prices are often erroneously identified and are, in fact, rare events accounting for a very small proportion of the total price variation. We apply new econometric techniques to a comprehensive set of ultra high-frequency equity and foreign exchange...

In social and economic analysis of longitudinal data, the socio-economic variables that are statistically significant in pooled data regressions sometimes become insignificant after individual fixed effects are controlled for. This phenomenon has been observed in the analysis of the relationship...

We introduce a multivariate estimator of financial volatility that is based on the theory of Markov chains. The Markov chain framework takes advantage of the discreteness of high-frequency returns. We study the finite sample properties of the estimation in a simulation study and apply it to...