This article analyses the arbitrage opportunities on the ODAX options market in an intra-daily framework. Tests are based on the prices' lower boundary and on the put-call parity. We consider the futures price for the underlying and the bid-ask spread in order to diminish the synchronisation...

We propose a methodology to perform macroeconomic stress-testing on the probability of default of a given borrowers' population (i.e., aggregate probability of default) through simulation from a vector error correction model and entropy pooling (Meucci, 2008)

We provide general expressions for obtaining raw, absolute and conditional moments for a standardized version of the class of skewed distributions proposed by Fernandez and Steel (1998). We show that these expressions are readily programmable in addition of greatly reducing the computational...

The equal-risk-contribution, inverse-volatility weighted, maximum-diversification and minimum-variance portfolio weights are all direct functions of the estimated covariance matrix. We perform a Monte Carlo study to assess the impact of covariance matrix misspecification to these risk-based...

CPPIs are popular medium- to long-term investment products that dynamically allocate between a risk-free asset and a risky portfolio, with the objective of combining upside potential with a capital guarantee. This paper uses a block-bootstrap evaluation approach to study whether combining smart...

The modified Sharpe ratio is commonly used to evaluate the risk-adjusted performance of an investment with non-normal returns, such as hedge funds. In this note, a test for equality of modified Sharpe ratios of two investments is developed. A simulation study demonstrates the good size and power...

A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken ‘directly' from the observed data. The procedure is useful when one wants to summarize the test results for several...

Using well-known GARCH models for density prediction of daily S&P 500 and Nikkei 225 index returns, a comparison is provided between frequentist and Bayesian estimation. No significant difference is found between the qualities of the forecasts of the whole density, whereas the Bayesian approach...