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This text examines the complex issues that concern the stability of the global financial system by presenting a mix of theory and practice. It should be essential reading for all involved in financial risk management.

International financial management --- International finance --- Probability theory --- Financial risk management. --- Derivative securities. --- Risk management. --- Financial risk management --- Derivative securities --- Management Styles & Communication --- Management --- Business & Economics --- Mathematical Sciences --- General and Others --- Derivative financial instruments --- Derivative financial products --- Derivative instruments --- Derivatives (Finance) --- Financial derivatives --- Securities --- Structured notes (Securities) --- Insurance --- Risk management

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Derivative securities --- -Derivative securities --- -368.01 --- 332.632 --- Derivative financial instruments --- Derivative financial products --- Derivative instruments --- Derivatives (Finance) --- Financial derivatives --- Securities --- Structured notes (Securities) --- Mathematics --- Mathematics. --- 368.01 --- Derivative securities - Mathematics

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This 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.

Business mathematics. --- Mathematical optimization. --- Stochastic processes -- Mathematical models. --- Stochastic processes --- Mathematical optimization --- Finance --- Power resources --- Mathematics --- Management --- Business & Economics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Management Theory --- Mathematical models --- Stochastic processes. --- Mathematical models. --- Random processes --- Business. --- Operations research. --- Decision making. --- Energy industries. --- Macroeconomics. --- Business and Management. --- Operation Research/Decision Theory. --- Energy Economics. --- Macroeconomics/Monetary Economics//Financial Economics. --- Optimization. --- Probabilities --- Operations Research/Decision Theory. --- Energy Policy, Economics and Management. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Economics --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Energy policy. --- Energy and state. --- Energy and state --- State and energy --- Industrial policy --- Energy conservation --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Government policy --- Decision making

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Scheduling (Management) --- Congresses --- Production scheduling --- 658.5 --- -Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Production control --- Scheduling --- Production engineering and planning. Design. Production management and control --- Congresses. --- -Production engineering and planning. Design. Production management and control --- 658.5 Production engineering and planning. Design. Production management and control --- -658.5 Production engineering and planning. Design. Production management and control --- Job scheduling (Production control) --- Analyse numérique. --- Numerical analysis --- Probabilités. --- Probabilities --- Programmation (mathématiques) --- Production scheduling - Congresses

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This 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.

Economics --- Operational research. Game theory --- Relation between energy and economics --- Computer. Automation --- energie-economie --- automatisering --- economie --- speltheorie --- operationeel onderzoek