Crowdfunding challenges the traditional separation between finance and marketing. It creates economic value by reducing demand uncertainty, which enables a better screening of positive NPV projects. Entrepreneurial moral hazard threatens this effect. Using mechanism design, mechanisms are...

In the present paper we study the dynamics of penalization parameter ? of the least absolute shrinkage and selection operator (Lasso) method proposed by Tibshirani (1996) and extended into quantile regression context by Li and Zhu (2008). The dynamic behaviour of the parameter ? can be observed...

In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter () of a linear quantile lasso regression. The FRM is calculated by taking the average of the penalization parameters over the 100 largest US publicly...

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis...

We study business uncertainty in high- versus low-volatility environments by surveying over 31,000 managers across 41 countries. We elicit subjective probability distributions for future own-firm sales and measure firm-level uncertainty with their mean absolute deviations. Analogously, we...

The objective of this paper is to analyze the Economic Policy Uncertainty impact on Small and Medium Enterprises' financial performance, considering the role that sector plays and firm characteristics. Thus, a data sample of 80,620 Spanish SMEs was selected for 2012-2020. Using system...