Our paper shows that based on the RMSE criteria, Price-to-Earnings ratio is a better predictor of financial and market performances of the firm than the Customer Satisfaction index (CS). This conclusion is based on the choice of five financial and seven market indicators that we consider as...

The subprime crisis was quite damaging for hedge funds. Using the local projection method (Jordà 2004, 2005, 2009), we forecast the dynamic responses of the betas of hedge fund strategies to macroeconomic and financial shocks-especially volatility and illiquidity shocks-over the subprime crisis...

In this paper, we consider the issue of forecasting the interest-rate term structure and we present a solution. We apply the Extended Kalman Filter (EKF) to the Fong amp; Vasicek model to deal with the issue of computing the hidden stochastic volatility. We also introduce Bollinger bands as a...

In this paper, we propose a new variance reduction technique to speed up the convergence during a Monte-Carlo simulation : Bollinger Bands. Beside being used in technical analysis, we show how Bollinger Bands can filter the extreme variations appearing during a simulation. We apply this...

In this paper, we aim at forecasting the stochastic volatility of key financial market variables with the Kalman filter using stochastic models developed by Taylor (1986,1994) and Nelson (1990). First, we compare a stochastic volatility model relying on the Kalman filter to the conditional...