As stress testing becomes more and more widespread as a risk measurement tool of choice, new questions are formulated about its applications to portfolio management. One of the most important ones for fund managers is: ‘How do we analyze results of stress tests for benchmarked portfolios?' We...

After posting good performance and impressive business growth for over two decades, quantitative equity investment managers have recently produced weak returns. We develop a measure of risk and show how changes in risk provide a common framework to explain past under-performance, as well as...

Investors sometimes have strong convictions that a distinctive economic regime will prevail in the period ahead and therefore would like to form a portfolio that reflects the expected returns, standard deviations, and correlations of assets during such a regime. To do so, they typically isolate...

We investigate the effect of including variance derivatives as calibration and hedging instruments for pricing and hedging exotic structures. This is studied empirically using market data for SPX and VIX derivatives applied in a stochastic volatility jump diffusion model

Classical quantitative finance models such as the Geometric Brownian Motion or its later extensions such as local or stochastic volatility models do not make sense when seen from a physics-based perspective, as they are all equivalent to a negative mass oscillator with a noise. This paper...

In this work, we have found a risk model that improves the performance of Risk Targeting. Risk Targeting in portfolio construction is implemented to improve capital utilization in growing markets and systematically step away from risk scenarios. However, the performance of risk targeting varies...