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020 _a9781441995865
_99781441995865
024 7 _a10.1007/9781441995865
_2doi
035 _avtls000339363
039 9 _a201509030316
_bVLOAD
_c201404300358
_dVLOAD
_y201402060933
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aHD30.23
100 1 _aBertocchi, Marida.
_eeditor.
_9316468
245 1 0 _aStochastic Optimization Methods in Finance and Energy :
_bNew Financial Products and Energy Market Strategies /
_cedited by Marida Bertocchi, Giorgio Consigli, Michael A. H. Dempster.
250 _a1.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _axxiv, 476 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v163
500 _aSpringer eBooks
505 0 _aUsing the Kelly Criterion for Investing -- Designing Minimum Guaranteed Return Funds -- Performance Enhancements for Defined Benefit Pension Plans -- Hedging Market and Credit Risk in Corporate Bond Portfolios -- Dynamic Portfolio Management for Property and Casualty Insurance -- Pricing Reinsurance Contracts -- A Nonlinear Decision Support Model for Weekly Operation of Hydrothermal Systems -- Hedging the Portfolio of a Hydro-energy Producer -- Short-term Trading for Electricity Producers -- Structuring Bilateral Energy Contract Portfolios in Competitive Markets -- Tactical Portfolio Planning in the Natural Gas Supply Chain -- Risk Management with Stochastic Dominance Models in Energy Systems with Dispersed Generation -- Stochastic Equilibrium Models for Power Generation Capacity Expansion -- Scenario Tree Generation for Multi-Stage Stochastic Programs -- Scenario Generation for Stochastic Optimization Problems -- Comparison of Sampling Methods for Dynamic Stochastic Programming -- Convexity of Chance Constraints with Copula Dependent Random Variables -- Portfolio Choice Models based on Second-Order Stochastic Dominance Measures.
520 _aThis volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years to facilitate the growing penetration of stochastic programming techniques in real-world applications, inducing a significant advance over a large spectrum of complex decision problems. After the recent widespread liberalization of the energy sector in Europe and the unprecedented growth of energy prices in international commodity markets, we have witnessed a significant convergence of strategic decision problems in the energy and financial sectors. This has often resulted in common open issues and has induced a remarkable effort by the industrial and scientific communities to facilitate the adoption of advanced analytical and decision tools. The main concerns of the financial community over the last decade have suddenly penetrated the energy sector inducing a remarkable scientific and practical effort to address previously unforeseeable management problems. Stochastic Optimization Methods in Finance and Energy: New Financial Products and Energy Markets Strategies aims to include in a unified framework for the first time an extensive set of contributions related to real-world applied problems in finance and energy, leading to a common methodological approach and in many cases having similar underlying economic and financial implications. Part 1 of the book presents 6 chapters related to financial applications; Part 2 presents 7 chapters on energy applications; and Part 3 presents 5 chapters devoted to specific theoretical and computational issues.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aConsigli, Giorgio.
_eeditor.
_9316469
700 1 _aDempster, Michael A. H.
_eeditor.
_9316470
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441995858
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-9586-5
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c287343
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