In this study, I apply a quantile regression model to investigate how gold returns respond to changes in various financial indicators. The model quantifies the asymmetric response of gold return in the tails of the distribution based on weekly data over the past 30 years. I conducted a...

Die Anteile fluktuierender erneuerbarer Stromerzeugung aus Windkraft- und Photovoltaikanlagen steigen in Deutschland und Europa. Ein effizienterer Handel dieser erneuerbarer Energien erfordert flexible Strommärkte. Hierbei können Auktionen einen effizienteren Handel ermöglichen, unter anderem...

This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct confidence intervals for the parameters of interest using percentile bootstrap with pairwise resampling. We study three different bootstrapping procedures. First, the bootstrap...

The allocation of resources to defence and national security is influenced by several factors, both domestic and external. Empirical findings suggest that military spending is determined by economic, strategic, political, and security factors. Studies that estimate demand functions for such...

This study develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed effects, allowing for temporal correlation within each individual. The conventional QR standard errors can seriously underestimate the uncertainty of estimators and, therefore,...

Price is a core component of both wine firms' and consumers' decision-making and so there has been a lot of analysis of the determinants of wine price. Most of the research has used the hedonic price function and assumed that the wine market is homogeneous with respect to both distribution...

We investigate the determinants of the capital structure of Brazilian companies between 2000 and 2009. We use a quantile regression model and compare its results with the ones provided by conventional models (least squares and fixed effects). We show that the effects of the capital structure...

This paper examines the idiosyncratic volatility (IV) puzzle in the Indian stock market for the period 1999–2014. Univariate and bivariate sorting, as well as cross-section regressions, suggest a positive relation between idiosyncratic volatility and future stock returns. However, this...

The instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen (2005)) is a popular tool for estimating causal quantile effects with endogenous covariates. However, estimation is complicated by the nonsmoothness and nonconvexity of the IVQR GMM objective function. This paper...