We introduce new quantile estimators with adaptive importance sampling. The adaptive estimators are based on weighted samples that are neither independent nor identically distributed. Using the law of iterated logarithm for martingales, we prove the convergence of the adaptive quantile...

The evaluation of the likelihood function of the stochastic conditional duration model requires to compute an integral that has the dimension of the sample size. We apply the efficient importance sampling method for computing this integral. We compare EIS-based ML estimation with QML estimation...

What is the fundamental value of a stock? Do stock prices deviate from this fundamental value? If yes, do they go back to their fundamental value? This paper proposes to answer these three questions by using a stock valuation model based on the Consumption-Capital Asset Pricing Model (C-CAPM)...

The out-of-sample forecasting performance of traditional stock return models (dividend yield, t-bill rate, etc.) is compared with the forecasting performance of the Livingston survey. The results suggest that the survey forecasts are much like a “too large” forecasting model: poor performance...