Regulatory and media concern has focused heavily on the potentially manipulative distortion of market prices associated with naked short selling. However, naked shorting can also have beneficial effects for liquidity and pricing efficiency. We empirically investigate the impact of naked...

The volatility information content of stock options for individual firms is measured using option prices for 149 U.S. firms and the S&P 100 index. ARCH and regression models are used to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and...

The trading of securities on multiple markets raises the question of each market's share in the discovery of the informationally efficient price. We exploit salient distributional features of multivariate financial price processes to uniquely determine these contributions. Thereby we resolve the...

In the pre-Sarbanes-Oxley era corporate insiders were required to report trades in shares of their firm until the 10th of the month following the trade. This gave them considerable flexibility to time their trades and reports strategically, e.g., by executing a sequence of trades and reporting...

This paper investigates the impact of seventeen US macroeconomic announcements on two broad and representative commodity futures indices. Based on a large sample from 1989 to 2005, we show that the daily price response of the CRB and GSCI commodity futures indices to macroeconomic news is...

Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private...

This paper investigates resiliency to provide a dynamic perspective on liquidity. We define resiliency as the rate of mean reversion in liquidity. Resiliency increases with the proportion of patient traders, decreases with order arrival rate, and increases with tick size; providing strong support...

An important claim of Bayesian learning and a standard assumption in price discovery models is that the strength of the price impact of unanticipated information depends on the precision of the news. In this paper, we test for this assumption by analyzing intra-day price responses of CBOT T-bond...

In this paper we show that informational and real frictions in CDS markets strongly affect CDS premia. We derive this main finding using a proprietary set of individual CDS transactions cleared by the Depository Trust & Clearing Corporation. We first show that CDS traders adjust the CDS premium...

Option-implied betas are a promising alternative to historical beta estimators, because they are inherently forward-looking and can incorporate new information immediately and fully. Recently, different implied beta estimators have been developed in previous literature, but very little is known...