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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization

This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models;

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Practical Financial Optimization

question of trading off the portfolio expected return against its risk. Fixed income portfolio optimization models perform standard calculations;

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Problems In Portfolio Theory And The Fundamentals Of Financial Decision Making

asset pricing, utility theory, stochastic dominance, risk aversion and static portfolio theory, risk measures, dynamic portfolio theory and;

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Contributions to Credit Portfolio Modeling and Optimization

portfolio risk modeling in three ways. First, it introduces a general credit portfolio modeling concept that comprises specific credit risk;

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Portfolio Optimization with Different Information Flow

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic;

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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an;

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Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an;

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Modern Portfolio Optimization with NuOPT(TM), S-PLUS®, and S+Bayes(TM)

In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund;

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Algorithmic Trading Methods

impact estimation, risk modeling and optimization, and advanced examination of trading algorithms and corresponding data requirements

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Quantitative Fund Management

shifting from basic Markowitz mean-variance portfolio optimization to risk management and trading applications. This section also explores novel;

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Supply Chain Disruption Management

. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk;

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Portfolio Selection Using Multi Objective Optimisation

is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi;

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Portfolio Optimization and Performance Analysis

standard portfolio optimization and performance measures. The book subsequently introduces dynamic portfolio optimization based on stochastic;

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Quantitative Fund Management

shifting from basic Markowitz mean-variance portfolio optimization to risk management and trading applications. This section also explores novel;

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Handbook of Recent Advances in Commodity and Financial Modeling: Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Markets

This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems;

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Financial Risk Modelling & Portfolio Opt

Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must;

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Extreme Risk Management

portfolio management provides a real and much-needed alternative to the stochastic models used so far. Providing an alternative tool for risk;

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Recent Advances In Stochastic Operations Research Ii

. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Lectures on Stochastic Programming

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications;

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Uncertain Portfolio Optimization

variables, the book presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory;

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Stochastic Programming

This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the;

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Stochastic models in risk theory and management accounting

Stochastic models in risk theory and management accounting;

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Applying Particle Swarm Optimization

This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio;

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R for Programmers

own startup, covering topics like portfolio optimization and risk management.;

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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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