This paper considers the optimization of portfolios of real and contractual assets, including derivative instruments, subject to a Value-at-Risk (VaR) constraint, with special emphasis on applications in electric power. The focus is on translating VaR definitions for a longer period of time, say a year, to decisions on shorter periods of time, say a week or a month. Thus, if a VaR constraint is...

In this paper, we study credit risk transfer (CRT) in an economy with endogenous financing (by both banks and non-bank institutions). Our analysis suggests that the incentive of banks to transfer credit risk is aligned with the regulatory objective of improving stability, and so the recent development of credit derivative instruments is to be welcomed. Moreover, we find the transfer of credit r...

We investigate the generalization properties of a data-mining approach to single-position day trading which uses an evolutionary algorithm to construct fuzzy predictive models of financial instruments. The models, expressed as fuzzy rule bases, take a number of popular technical indicators on day t as inputs and produce a trading signal for day t+ 1 based on a dataset of past observations of wh...

Author Disclosure Drs Hellström-Westas, Rosén, and de Vries have been involved in development or testing of the instruments (BrainZ [BrainZ Instruments Ltd, Auckland, New Zealand], Olympic 6000 [Olympic Medical, Seattle, Washington], and Nervus Monitor [Viasys, Nicolet Biomedical, Madison, Wisconsin]) from which records are shown in this article. None has an economic interest in the production ...

This article shows that the one-state-variable interest-rate models of.There are an enormous number of derivative securities being traded in financial markets. And just define those securities that we shall be pricing. Definition.We present a model for pricing and hedging derivative securities and option portfolios in an. In this equation, the pricing volatility is selected dynamically from.Bec...