A flexible framework for the analysis of tail events is proposed. The framework contains tail moment measures that allow for Expected Shortfall (ES) estimation. Connecting the implied tail thickness of a family of distributions with the quantile and expectile estimation, a platform for risk...

Value and momentum returns and combinations of them are explained by their loadings on global macroeconomic risk factors across both countries and asset classes. These loadings describe why value and momentum have positive return premia while at the same time being negatively correlated. The...

This paper examines the consequences for a life annuity insurance company if the Solvency II Solvency Capital Requirements (SCR) are calibrated based on Expected Shortfall (ES) instead of Value-at-Risk (VaR). We focus on the risk modules of the SCRs for the three risk classes equity risk,...

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...

We use an accounting-based approach to link two primary measures of ‘value' to expected returns for countries: earnings-to-price (E/P) and book-to-price (B/P). We document that when country-level earnings are less affected by accounting distortions related to conservative accounting for...

We analyze the impact of the estimation frequency - updating parameter estimates on a daily, weekly, monthly or quarterly basis - for commonly used GARCH models in a large-scale study, using more than twelve years (2000-2012) of daily returns for constituents of the S&P 500 index. We assess the...

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...

Using asset prices I estimate the marginal value of capital in a dynamic stochastic economy under general assumptions about technology and preferences. The state-space measure of marginal q relies on the joint measurability of the value function, i.e. firm market value, and its underlying firm...

This paper presents a generalisation of quantile regressions to the multivariate case and its possible applications to Expected Shortfall estimation. The suggested methodology leverages on Pair-Copula Construction (PCC) and Extreme Value Theory (EVT).We extend the quantile regression model to...

The paper examines the relationships among market assets during stressful times, using two recently proposed econometric modeling techniques for tail risk measurement: the extreme downside hedge (EDH) and the extreme downside correlation (EDC). We extend both measures taking into account the...