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» Scenario Generation Employing Copulas
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WCE
2007
13 years 5 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
ANOR
2010
120views more  ANOR 2010»
13 years 4 months ago
Stochastic models for risk estimation in volatile markets: a survey
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...
ANOR
2007
165views more  ANOR 2007»
13 years 4 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
JORS
2010
189views more  JORS 2010»
12 years 11 months ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram
CSMR
2006
IEEE
13 years 10 months ago
Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems
Understanding large software systems is simplified when a combination of techniques for static and dynamic analysis is employed. Effective dynamic analysis requires that executio...
Maher Salah, Spiros Mancoridis, Giuliano Antoniol,...