The forward-looking nature of option market data allows one to derive economically-based and model-free risk measures. This article proposes an extensive analysis of the performances of option-implied VaR and CVaR, and compare them with classical risk measures for the S&P500 Index. Delivering...

Empirical indicators of sentiment are commonly employed in the economic literature while a precise understanding of what is sentiment is still missing. Exploring the links among the most popular proxies of sentiment, fear and uncertainty this paper aims to fi ll this gap. We show how fear and...

Practitioners in risk management are familiar with the use of the FHS (filtered historical simulation) to finding realistic simulations of security returns. This approach has become increasingly popular over the last fifteen years, as it is both flexible and reliable, and is now being accepted...

Is it possible to achieve almost riskless investment results in the long run through equity investments? The persistence of low interest rates is spurring research on this question, because of the need to increase yields, while limiting variability of investment results. Target date funds aim to...

The dynamics of the physical probability of firms that undertake a stock swap merger is developed through a simple model. Using a sample of 1090 deals from 1992 to 2008, we show how movements in target stock prices are informative of the success or failure of a stock swap merger and how...

We propose a model able to estimate the risk of assets in balance from aggregate data by introducing a prudential measure called Filtered Historical Spectral Asset Measure (FH - SAM). Our measure combines a model based method to simulate the evolution of volatility with model free method of...