It is well known that that there is an intrinsic link between the financial and energy sectors, which can be analyzed through their spillover effects, which are measures of how the shocks to returns in different assets affect each other's subsequent volatility in both spot and futures markets....

Integrated assessment models lack a microeconomic foundation in modelling environmental damages to the economy. To overcome this, damage coefficients are incorporated in standard microeconomic models. Firms and consumers take both damages and prices as given. Demand, supply, profit and...

We investigate the relationship between the gas spot market and the price of gas storage capacity. Contrary to the common belief, the auction prices for gas storage are mostly affected by the volatility of current market prices rather than by the winter-summer price differences. This paper...

This study uses the methods of experimental economics to investigate possible causes for the failure of the Hotelling rule for nonrenewable resources. We argue that as long as resource stocks are high enough, producers may choose to (partially) ignore the dynamic component of their production...

In this paper we study the demand for car kilometres in two-car households, focusing on the substitution between cars in response to fuel price changes. We use a large sample of detailed Danish data on two-car households to estimate -- for each car owned by the household -- own and cross-price...

Renewable electricity plays an increasingly important role in the effort to reduce CO2 emissions in the electricity sector. One of the major challenges that must be addressed is the fluctuating supply of renewable electricity. We explore the impact of cross-border electricity transfers on both...

This article examines the rate at which different households go green and how this affects the distribution of both wealth and CO2 benefits. Using a unique dataset from the Netherlands, we find that lower-income households are less likely to make their homes more energy efficient. At the same...

We introduce a new estimation framework which extends the Generalized Method of Moments (GMM) to settings where a subset of the parameters vary over time with unknown dynamics. To filter out the dynamic path of the time-varying parameter, we approximate the dynamics by an autoregressive process...

We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a horizon of ten trading days for a well-diversified portfolio of stocks, bonds and alternative investments. The VaR forecasts are constructed based on daily, weekly or biweekly...