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Stochastic Dominance and Applications to Finance, Risk and Economics

Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how;

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Comparison Methods for Stochastic Models and Risks

Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;

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Econometric Analysis of Stochastic Dominance

This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method;

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Stochastic Methods in Economics and Finance

calculus, and basic facts about stochastic differential equations. The notion of stochastic ability and the methods of stochastic control are;

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Applications of Stochastic Optimal Control to Economics and Finance

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Dynamic And Stochastic Efficiency Analysis

, policy applications in investment models in finance, risk aversion and efficiency, and technology and innovation.The most up-to-date tools;

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Stochastic Analysis And Applications To Finance

, potential theory, functional inequalities, optimal stopping, portfolio selection, to risk measure and risk theory.It will be a very useful book for;

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An Outline of Financial Economics

of stocks and cash flows in detail. Highly relevant topics such as attitudes toward risk, uncertainty, the financial structure of a firm, stochastic;

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An Outline of Financial Economics

of stocks and cash flows in detail. Highly relevant topics such as attitudes toward risk, uncertainty, the financial structure of a firm, stochastic;

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Stochastic Economic Dynamics

; investment and employment cycles; stochastic control theory; and risk aversion. The works collected in this book serves to bridge the old;

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Handbook in Monte Carlo Simulation

and risk management to optimization. The Handbook in Monte Carlo Simulation features: * An introductory section for basic material on;

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Financial Economics, Risk And Information (2nd Edition)

and agency, dynamic stochastic general equilibrium in discrete and continuous time, attitudes towards risk and towards inter-temporal;

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Risk and Financial Management

introduction to the core topics of risk and financial management. Adopts a pragmatic approach, focused on computational, rather than just theoretical;

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Stochastic Orders in Reliability and Risk

Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic;

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Stochastic Comparisons with Applications

of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including;

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Stochastic Differential Games. Theory and Applications

The subject theory is important in finance, economics, investment strategies, health sciences, envir;...

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Risk Measures with Applications in Finance and Economics

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Fractional Calculus and Fractional Processes with Applications to Financial Economics

calculus and fractional processes to asset pricing, financial time-series analysis, stochastic volatility modelling, and portfolio optimization;

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Stochastics of Environmental and Financial Economics

fields of finance, energy, stochastics and risk, who present their latest findings on topical problems. The papers cover the areas of stochastic;

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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization

metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they;

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Handbook of Quantitative Finance and Risk Management

science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the;

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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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Numerical Probability

recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic;

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Mathematical Modeling in Economics and Finance

. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the;

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An Introduction to Stochastic Orders

stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models. Introduces stochastic;

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Topics in Microeconomics

explains the analytics of risk, stochastic dominance, and risk aversion, supplemented with a variety of applications from different areas;

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Risk Analysis in Engineering and Economics

complementary mix of theoretical background and risk methods Brings together engineering and economics on balanced terms to enable appropriate decision;

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