Complex interactions between fundamentals and liquidity during unstable periods in financial markets are succinctly modeled with coordination games. We propose a flexible framework to estimate such a model and use the efficient method of moments as estimation procedure. We illustrate the model...

Many financial applications, such as risk analysis and derivatives pricing, depend on time scaling of risk. A common method for this purpose, though only correct when returns are iid normal, is the square-root-of-time rule where an estimated quantile of a return distribution is scaled to a lower...

Precise estimation of the tail shape of forex returns is of critical importance for proper risk assessment. We improve upon the efficiency of conventional estimators that rely on a first order expansion of the tail shape, by using the second order expansion. Here we advocate a moments estimator...

Worst-case analysis has increased in popularity among financial regulators in the wake of the recent financial crisis. In this paper we provide insight into this measure and provide some guidance on how to estimate it. We derive the bias for the non-parametric heavy tailed order-statistics and...

Macroprudential stress testing (MaPST) is becoming firmly embedded in the post-crisispolicy-frameworks of financial-sectors around the world. MaPSTs can offer quantitative,forward-looking assessments of the resilience of financial systems as a whole, to particularlyadverse shocks. Therefore,...

Cryptocurrencies promise to replace fiat money with private money underpinned by algorithms, not government guarantees. While the technology is elegant, the success and failure of cryptocurrencies in the competition with fiat will not be determined by technology alone. It is more important to...

This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with market uncertainty. During calm periods, the underlying risk forecast models...

Since increasing a bank's capital requirement to improve the stability of the financial system imposes costs upon the bank, a regulator should ideally be able to prove beyond a reasonable doubt that banks classified as systemically risky really do create systemic risk before subjecting them to...

This paper analyzes the robustness of standard techniques for risk analysis, with a special emphasis on the Basel III risk measures. We focus on the difference between value-at-risk and expected shortfall, their small sample properties, the scope for manipulating risk measures and how estimation...