Photocatalytic uranium extraction in seawater provides a promising strategy for the sustainable utilization of nuclear energy. Herein, we in-situ constructed Cu2O/CuO interface by a wet-etching method, achieving an ultrafast reaction kinetics and photocatalytic activity for seawater U(VI)...

We develop two parsimonious models for pricing multi-name credit derivatives. We derive closed form expression for the loss distribution, which then can be used in determining the prices of tranche and index swaps and more exotic derivatives on these contracts. Our starting point is the model of...

The COVID-19 pandemic has caused huge and disruptive technological changes in the healthcare sector, transforming the way businesses and societies function. To respond to the global health crisis, there have been numerous innovation projects in the healthcare sector, including the fast design...

This thesis aims to contribute to a further understanding of the real dynamics of OPEC production behavior and its impacts on the world oil market. A literature review in this area shows that the existing studies on OPEC still have some major deficiencies in theoretical interpretation and...

With globalization, countries are more connected than before by trading flows, which currently amount to at least 36 trillion dollars. Interestingly, approximately 30-60 percent of global exports consist of intermediate products. Therefore, the trade flow network of a particular product with...

How does informality in emerging economies affect the conduct of monetary and fiscal policy? To answer this question we construct a two-sector, formal-informal new Keynesian closed-economy. The informal sector is more labour intensive, is untaxed, has a classical labour market, faces high credit...

We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of...

We provide a tool for estimating DSGE models by Bayesian Maximum-likelihood meth?ods under very general information assumptions. This framework is applied to a New Keynesian model where we compare the standard approach, that assumes an informa?tional asymmetry between private agents and the...

We develop a closed-economy DSGE model of the Indian economy and estimate it by Bayesian Maximum Likelihood methods using Dynare. We build up in stages to a model with a number of features important for emerging economies in general and the Indian economy in particular: a large proportion of...

We study merchant energy production modeled as a compound switching and timing option. The resulting Markov decision process is intractable. State-of-the-art approximate dynamic programming methods applied to realistic instances of this model yield policies with large optimality gaps that are...