Heterogeneous firm productivity seems to provide an argument for governments to pursue `pick-the-winner' strategies by subsidizing highly productive firms more, or taxing them less, than their less productive counterparts. We appraise this argument by studying the optimal choice of effective tax...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ('efficient return') factor and two market-side-specific components...

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news' precision. In practice, however, precision is rarely dis- closed. Therefore, we extend standard Bayesian...

We analyze non-cooperative commodity taxation in a symmetric two- country trade model characterized by monopolistic competition and inter- national firm and capital mobility. In this setting, taxes in one country affect foreign welfare through the relocation of mobile firms and through changes...

This paper studies non-cooperative commodity taxation in a trade model with im-perfect competition and trade costs. Nationally optimal tax policy simultaneously tries to correct the domestic distortion from imperfect competition and to shift rents to the home country. Importantly, this trade-off...

This paper investigates the use of price intensities to estimate volatilities based on high-frequency data. We interpret the conditional probability for the occurence of a price event within a certain time horizon as a risk measure which allows us to obtain an estimator of the conditional...