I show that the structure of the firm is not neutral in respect to regulatory capital budgeted under rules which are based on the Value-at-Risk. Indeed, when a holding company has the liberty to divide its risk into as many subsidiaries as needed, and when the subsidiaries are subject to...

Although economic globalization has transformed contemporary conceptions of space, location still matters enormously for both individual entrepreneurs seeking to develop a sustainable business and policy makers looking to foster entrepreneurship within a particular city or region. In making the...

Let us suppose that presently unimagined is possible, that “the unexpected may happen” (Marshall, 1920, p. 347). Then “human decisions affecting the future, whether personal, political or economic, cannot depend on strict mathematical expectation since the basis for making such...

This thesis studies two new approaches of risk measurement. The first one is based on the class of spectral risk measures and proposes a new method to calibrate them to data and decision maker's objective. Based on the results of information theory, we use theorems of relative entropy...

Recently, new coherent, law-invariant and comonotonic additive risk measures known as spectral risk measures (SRM) have been proposed as interesting complements to the regulatory-standard VaR. While such risk measures allow various attitudes towards risk to be specified by the risk manager...

Since borrowers want minimal pressure to repay early while depositors want minimal constraints on withdrawals, banks typically borrow short to lend long. This is known as duration mismatch. To mitigate the risks, banks are required to hold capital buffers, which are intended to cover all losses...

This paper deals with risk measurement and portfolio optimization under risk constraints. Firstly we give an overview of risk assessment from the viewpoint of risk theory, focusing on moment-based, distortion and spectral risk measures. We subsequently apply these ideas to an asset management...

We incorporate tail risk in a Bayesian learning framework with information frictions and study how individuals' expectations respond to first and second moment shocks. In our model, we retain "rational news" through Bayesian learning and abstract from any behavioral biases. First, we show that...

Rating downgrades are known to make subsequent downgrades more likely. We analyze the impact of this ?downward momentum? on credit portfolio risk. Using S&P ratings from 1996 to 2005, we estimate a transition matrix that is insensitive to and a second matrix that is sensitive to previous...

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight...