State price densities (SPD) are an important element in applied quantitativefinance. In a Black-Scholes model they are lognormal distributions with constant volatility parameter. In practice volatility changes and the distribution deviates from log-normality. We estimate SPDs using EUREX option data on the DAX index via a nonparametric estimator of the second derivative of the (European) call price function. The estimator is constrained so as to satisfy no-arbitrage constraints and it corrects for intraday covariance structure. Given a low dimensional representation of this SPD we study its dynamic for the years 19952003. We calculate a prediction corridor for the DAX for a 45 day forecast. The proposedalgorithm is simple, it allows calculation of future volatility and can be applied to hedging exotic options.
Employment of capital, capital investment planning and estimate of investment profitability ; Individual Working Papers, Preprints ; No country specification