Within the independent private-values paradigm, we derive the data-generating process of the winning bid for the last unit sold at multi-unit, sequential English auctions when bidder valuations are draws from different distributions; i.e., in the presence of asymmetries. When the identity of the...

Indicators and their associated reference points are key elements of current fisheries management advice, as well as of the developing ecosystem approach to it, especially in the International Council for the Exploration of the Sea precautionary approach. However, although sustainable management...

This paper deals with the sustainable management of a renewable resource based on individual and transferable quotas (ITQs). The aim of that paper is to determine the conditions under which a regulating agency can achieve both ecological and economic objectives when agents are heterogenous and...

We deal with bootstrapping tests for detecting conditional heteroskedasticity in the context of standard and nonstandard ARCH models. We develope parametric and nonparametric bootstrap tests based both on the LM statistic and a neural statistic. The neural tests are designed to approximate an...

We propose a multivariate nonparametric technique for generating reliable historical yield curve scenarios and confidence intervals. The approach is based on a Functional Gradient Descent (FGD) estimation of the conditional mean vector and volatility matrix of a multivariate interest rate...

A notion of forecast quality is defined that is appropriate when returns forecasts are used in a simple investment decision. The relation between the conditional distribution of returns and optimal point forecasts for a risk neutral investor is characterised and it is shown that the conditional...

We develop extensions of the variance-ratio statistic for testing the hypothesis a time series is uncorrelated and investigate their finite-sample performance. The tests employ an estimator of the asymptotic covariance matrix of the sample autocorrelations that is consistent under the null for...

In this paper, we investigate the out-of-sample forecasting ability of a genetic program to approach the dynamic evolution of the Yen/US$ and Pound Sterling/US$ exchange rates, and verify whether the method can beat the random walk model. Later on, we use the predicted values to generate a...

This paper shows how a high level matrix programming language may be used to perform Monte Carlo simulation, bootstrapping, estimation by maximum likelihood and GMM, and kernel regression in parallel on symmetric multiprocessor computers or clusters of workstations. The implementation of...