In this paper we show that the Chilean exchange rate has the ability to predict the returns of the London Metal Exchange Index and of the six primary non-ferrous metals that are part of the index: aluminum, copper, lead, nickel, tin and zinc. The economic relationship hinges on the present-value...

Non-monetary incentives are increasingly being studied in encouraging energy conservation. In light of this, we conducted a natural field experiment in student dormitories to assess the effect of honor-based incentives and goal setting on electricity saving and the intrinsic motivation to save...

This study measures the response of gasoline consumption to improved vehicle fuel efficiency (miles per gallon). Although an inverse relationship exists, the percentage decline is always less than the percentage efficiency improvement. As usually measured by past researchers, the long-run...

The economic cost of carbon pricing depends on the ability and incentives of firms to switch towards cleaner fuels. Yet, many fundamental economic forces that drive firms' decisions to use different fuels are unobserved, causing significant uncertainty over the effectiveness of carbon policies....

We follow a non-linear dynamic correlation approach using a combination of a DCC-GARCH model and a copula model to capture the dependence between oil price changes and inflation in Tunisia. The case of Tunisia is particularly instructive since, after having been an exporter and a major producer,...

We follow a non-linear dynamic correlation approach using a combination of a DCC-GARCH model and a copula model to capture the dependence between oil price changes and inflation in Tunisia. The case of Tunisia is particularly instructive since, after having been an exporter and a major producer,...

This study explores the integration of Variational Autoencoders (VAEs) and Genetic Programming (GP) to address key challenges in the development of smart cities as cyber-physical systems (CPS). The primary objective is to enhance decision-making processes, optimize resource allocation, and...

This study combines regression analysis with machine learning analysis to study the merit order effect of renewable energy focusing on German market, the largest market in Europe with high renewable energy penetration. The results show that electricity from wind and solar sources reduced the...

China is concerned about the security of its sea-lanes for imports and desires to diversify its oil supplies from the Middle East in order to sustain economic growth. These concerns have sparked China’s interest in trying to ensure oil supplies from as many sources as possible and in reducing...

With NEMS, there has been increased interest in modeling energy markets and a resurgent interest in energy elasticities of demand. Since such elasticities are often a convenient way to summarize the responsiveness of demand to such things as own prices, cross prices, income, or other relevant...