This paper evaluates different hedging strategies for aluminum and copper futures contracts traded at the Shanghai Futures Exchange. In addition to usual candidates such as the traditional regression hedge ratio and the hedging strategy constructed from the bivariate fractionally integrated...

The Kalman Filter is a time series estimation algorithm that is applied extensively in the field of engineering and recently (relative to engineering) in the field of finance and economics. However, presentations of the technique are somewhat intimidating despite the relative ease of generating...

In this paper we consider the dynamics of spot and futures prices in the presence of arbitrage. We propose a partially linear error correction model where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference. We estimate our model using data on the DAX...

Stochastic volatility models such as those of Heston (1993) and Hull and White (1987) are often used to model volatility risk in the pricing and hedging of contingent claims on risky assets. Some recent empirical evidence has shown that these models under general specifications often do not...

This paper illustrates a semi-parametric approach to static and dynamic asset allocation problems in terms of the moments of a multivariate distribution. By use of a general class of H-distributions, we reconstruct the portfolio density function from the moment sequence derived from the...

We use macro finance models to study the interaction between macro variables and the Brazilian sovereign yield curve using daily data. We calculate the model implied default probabilities and a measure of the impact of macro shocks on the probabilities. An extension of the Dai-Singleton...

The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...

Empirical analysis of time series of asset returns has revealed fat tails and volatility clustering which manifests itself as autocorrelations in absolute returns. We provide a quantitative measure of the well-studied phenomenon of volatility clustering in financial time series: We use the...

The treatment of this article renders closed-form density approximation feasible for univariate continuous-time models. Implementation methodology depends directly on the parametric-form of the drift and the diffusion of the primitive process and not on its transformation to a unit-variance...

GARCH processes constitute the major area of time series variance analysis, hence the limit of these processes is of considerable interest for continuous time volatility modelling. The continuous time limit of the GARCH(1,1) model is fundamental for limits of other GARCH processes, yet it has...