We compare several models that forecast ex-ante Bitcoin one-day Value-at-Risk (VaR), starting from the simplest ones like Parametric Normal and Historical Simulation and arriving at Historical Filtered Bootstrap and Extreme Value Theory Historical Filtered Bootstrap. We also consider Gaussian...

This research aims to solve the ambiguities that arise from stock risk estimation of an emerging market. Risk is not defined as variability but as a possibility of loss or of a weaker than market performance. Stock risk is estimated through the analysis of the underlying business, respectively...

The market for commercial properties is characterised by extreme heterogeneity in demand. In this paper, we aim to gain more insight in the heterogeneity in demand for employment agglomeration and size of the rental property using a two-stage hedonic approach following Bajari and Benkard (2005)....

The main purpose of this survey paper is to consider the attempts that have been made to apply economic theory and empirical methods to the analysis of electricity markets, and to evaluate them in light of theoretical considerations and empirical evidence. We describe the key features of the...

This paper investigates the empirical importance of allowing for multi-dimensional sources of unobserved heterogeneity in auction models with private information. It in turn develops the estimation procedure that recovers the distribution of private information in the presence of two distinct...

I develop and apply a nonparametric approach to estimate demand in differentiated products markets. Estimating demand flexibly is key to addressing many questions in economics that hinge on the shape - and notably the curvature - of market demand functions. My approach applies to standard...

Using the credit card application data provided by a major credit card issuer, we estimate the demand for credit card using a regression discontinuity method. Our method exploits a unique feature of the credit card solicitation campaign design, i.e. credit issuer gives consumers different...

Output and input market distortions manifest as wedges in the firm's first order conditions. The production approach to markup estimation recovers the markup wedge using the output elasticity for a variable and undistorted input. We show that using the revenue elasticity for any variable input,...

Using a new administrative dataset, we provide fresh micro-level evidence on firms’ returns to scale (RTS). We employ a new administrative database, iBACH, which contains extensive high-quality annual balance sheet, financial, and demographic information on more than two million non-financial...

This paper proposes a new approach to the identification and estimation of production functions. It extends the literature on the structural estimation of production functions, which dates back to the seminal work of Olley and Pakes (1996), by relaxing the scalar-unobservable assumption about...