The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for the crude oil spot and futures returns of two major benchmark international crude oil markets, Brent and WTI, to calculate optimal portfolio weights and optimal hedge ratios, and...

In this reply, I oppose and further debate some of the points raised in Mr. Tehrani's comment (2010). In addition, I show that, when dealing with short-run linear-programming models with not-adjusted-to-demand capacities, Aumann-Shapley prices can be considered as an attempt to recreate long-run...

Linear programming is widely used by multiproduct oil-refining firms which minimize a refinery’s variable cost under a set of constraints. In addition to operating costs, this variable cost can include the cost associated with the refinery’s CO2 emissions. We suggest a quite general approach...

This article considers the economic and environmental (in terms of CO2) effects of national energy policies in a European Single Market for electricity. It was found that the combined CO2/Energy-tax proposed by the European Commission would be able to stabilise the current volume of...

The present paper analyses an optimal consumption and investment problem of a retiree with a constant relative risk aversion (CRRA) who faces parameter uncertainty about the financial market.We solve the optimization problem under partial information by making the market observationally complete...

We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum annealer. We derive a formulation of the problem, discuss several possible integer encoding schemes, and present numerical examples that show high success rates. The formulation incorporates transaction costs...

For large portfolio managers, a sequence of single-period optimal positions is rarely multi-period optimal. In particular, transaction costs can prevent large portfolio managers from monetizing most of their forecasting power. The solution is to compute the trading trajectory that comes...