This paper develops analytical methods to forecast the distribution of future returns for a new continuous-time process, the Poisson multi-fractal. The process captures the thick tails, volatility persistence and moment scaling exhibited by many financial time series. It can be interpreted as a...

The problem considered in this paper is how to find reliable prediction intervals with simple exponential smoothing and trend corrected exponential smoothing. Methods for constructing prediction intervals based on linear approximation and bootstrapping are proposed.

There as been on-going debate and empirical investigation in the literature as to whether or not the term structure contains information about future inflation. In this paper, the authors present new evidence about the information in the term structure of interest rates about future inflation in...

The predictive accuracy of various econometrics models, including random walks, vector autoregressive and vector error-correction models, are investigated using daily futures prices of 4 commodities (the S&P500 index, treasury bonds, gold and crude oil).

This paper assesses the empirical performance of an intertemporal option pricing model with latent variables which generalizes the Hull-White stochastic volatility formula. Using this generalized formula in an ad-hoc fashion to extract two implicit parameters and forecast next day S&P 500 option...

Modern panel surveys frequently suffer from high and non-ignorable attrition, and transportation surveys suffer from poor travel estimates. We illustrate the impact of attrition and measurement error on a standard conditional logit model of commuters' mode choice (solo drive in free lanes, pay...

The paper presents the basics of a new and flexible approach to statistically modelling the activities of multi-sectoral economies (Tran Van Hoa, 1992) and applies it to study investment in five major East Asian countries (ie, China, Indonesia, Korea, Malaysia and Thailand) during the period...