We estimate the elasticities of the most important tax categories using a new quarterly database of discretionary tax measures for the United States, Germany, and the United Kingdom over the period 1980Q1 to 2018Q2. Employing Romer and Romer's (2009) narrative approach, we construct a...

This study provides evidence of the causal impact of immigration on German house prices, flat prices, and flat rents using an extensive dataset covering 382 administrative districts over the period 2004-2020. Employing a panel-data approach and a manually constructed shift-share instrument, we...

This paper provides an analysis of the convergence pattern of German housing prices and rents employing a new dataset that covers all the country's administrative districts. In addition to conventional tests for β-convergence and δ-convergence, we apply Phillips and Sul's (2007) approach so as...

We propose a Bayesian sequential learning framework for high-dimensional asset al-locations under model ambiguity and parameter uncertainty. The model is estimated via MCMC methods and allows for a wide range of data sources as inputs. Employing the proposed framework on a large set of...

We theoretically and empirically study large-scale portfolio allocation problems when transaction costs are taken into account in the optimization problem. We show that transaction costs act on the one hand as a turnover penalization and on the other hand as a regularization, which shrinks the...

Distributed ledger technologies rely on consensus protocols confronting traders with random waiting times until the transfer of ownership is accomplished. This time consuming settlement process exposes arbitrageurs to price risk and imposes limits to arbitrage. We derive theoretical arbitrage...