Regulatory capital for trading book positions includes two components that cover different risks but apply to the same portfolio, one for market risk and one for credit risk. Similar approaches are common in banks’ internal models for economic capital. Although it is known that joint market...

We show that banks' risk exposure in one asset category affects how they report regulatory risk weights for another asset category. Specifically, banks report lower credit risk weights for their loan portfolio when they face higher risk exposure in their trading book. This relationship is...

Most economic decisions are embedded in a specific social context. In many such contexts, individual choices are influenced by their observability due to underlying social norms and social image concerns. This study investigates the impact of choices being observed, compared to anonymity of...

The Value at Risk approach (VaR) is more and more used as a tool for risk measurement. The approach however has shortcomings both from a theoretical and a practical point of view. VaR can be classified within existing concepts of risk measurement: it is particularly interpretable as a special...

Time pressure is a central aspect of economic decision making nowadays. It is therefore natural to ask how time pressure affects decisions, and how to detect individual heterogeneity in the ability to successfully cope with time pressure. In the context of risky decisions, we ask whether a...

Finance theory does not provide a comprehensive framework for explaining risk management within the imperfect financial environment in which firms operate. Corporate managers, however, rank risk management as one of their most important objectives. Therefore, it is not surprising that papers on...

Geopolitical risk cannot be measured in a universal way. We develop new geopolitical risk indicators relying on local newspaper coverage to account for different perceptions. Using Russia as a case study, we demonstrate that geopolitical risk shocks identified from local news sources have...

This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions to estimate Growth at Risk as introduced in Adrian, Boyarchenko, and Giannone's (2019) seminal paper "Vulnerable Growth". In contrary to their semi-parametric approach, the SSV...