We define and investigate classes of statistical models for the analysis of associations between variables, some of which are qualitative and some quantitative. In the cases where only one kind of variables is present, the models are well-known models for either contingency tables or covariance...

It is well documented that ‘‘unanticipated’’ information contained in United States Department of Agriculture (USDA) crop reports induces large price reactions in corn and soybean markets. Thus, a natural question that arises from this literature is: To what extent are futures hedges...

This study examines the distributional properties of futures prices for contracts traded on LIFFE. A filtering process is employed to remove day of the week and holiday effects, a maturity effect, moving average effects and the influence of an asset's conditional variance from the raw returns...

Volatility modelling is a key issue for the finance industry from an academic and practitioner perspective. This is understandable given the importance that volatility plays in risk management and the development of accurate risk measures in a univariate or multivariate framework. To illustrate,...

Using a time-varying approach, this paper examines the dynamics of volatility in the real estate investment trust (REIT) sector. The results highlight the attractiveness and suitability of using GARCH based approaches in the modeling of daily REIT volatility.The paper examines the factors that...

This dissertation studies three classes of estimators for the asymptotic variance parameter of a stationary stochastic process. All estimators are based on the concept of data "re-use" and all transform the output process into functions of an approximate Brownian motion process.The first class...

Plant breeders traditionally have estimated genotypic and phenotypic correlations between traits using the method of moments on the basis of a multivariate analysis of variance (MANOVA). Drawbacks of using the method of moments to estimate variance and covariance components include the...

Nitrate pollution from agriculture is an important environmental problem, caused bythe excessive use of inorganic fertilizers. The internalization of this externality, via a tax onmineral nitrogen, could lead to a second best solution, reducing nitrate emissions. Severalauthors suggest that a...

We analyze the current state and future requirements of an agricultural income stabilization mechanism in a transition country – namely, the crop insurance system in Kazakhstan. Three objectives will be pursued: First, factors influencing the development of the crop insurance market will be...

A mathematical programming model is developed and associated to a spatial pattern index (Ripley L function) to analyse the optimal reserve design and implementation for the Little Bustard conservation in Plaine de Niort. The model structure corresponds to three spatial levels, fields, farm and...