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Synopsis
Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a method for risk assessment in decision making. It provides basic background on SD for various areas of applications.
Useful Concepts and Techniques for Economics Applications
The majority of the text presents a systematic exposition of SD, emphasizing rigor and generality. It covers utility theory, multivariate SD, quantile functions, risk modeling, Choquet integrals, other risk measures, statistical inference, nonparametric estimation, hypothesis testing, and econometrics. The remainder of the book explores new applications of SD in finance, risk, and economics. At the beginning of each economic concept, the authors clearly explain only the necessary mathematics so readers are not overburdened with learning nonessential, arduous mathematics.
This accessible guide helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It provides thorough coverage on the theory of SD, along with many applications to economics and other fields where risk is crucial.
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About the Author
Songsak Sriboonchitta is an associate professor and dean of the Faculty of Economics at Chiang Mai University in Thailand.
Wing-Keung Wong is a professor of economics at Hong Kong Baptist University in China.
Sompong Dhompongsa is a professor of mathematics at Chiang Mai University in Thailand.
Hung T. Nguyen is a professor of mathematical sciences at New Mexico State University in Las Cruces.
"About this title" may belong to another edition of this title.
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Stochastic Dominance and Applications to Finance, Risk and Economics
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Stochastic Dominance and Applications to Finance, Risk and Economics (Hardcover)
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Hardcover. Condition: new. Hardcover. Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a method for risk assessment in decision making. It provides basic background on SD for various areas of applications. Useful Concepts and Techniques for Economics Applications The majority of the text presents a systematic exposition of SD, emphasizing rigor and generality. It covers utility theory, multivariate SD, quantile functions, risk modeling, Choquet integrals, other risk measures, statistical inference, nonparametric estimation, hypothesis testing, and econometrics. The remainder of the book explores new applications of SD in finance, risk, and economics. At the beginning of each economic concept, the authors clearly explain only the necessary mathematics so readers are not overburdened with learning nonessential, arduous mathematics. This accessible guide helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science.It provides thorough coverage on the theory of SD, along with many applications to economics and other fields where risk is crucial. A guide that helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It uses real data and statistical procedures, such as hypothesis testing, to show how SD theory is applied in financial situations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781420082661
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Stochastic Dominance and Applications to Finance, Risk and Economics
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Chapman and Hall/CRC, 2009
ISBN 10: 1420082663
ISBN 13: 9781420082661
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Condition: New. A guide that helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It uses real data and statistical procedures, such as hypothesis testing, to show how SD theory is applied in financial situations. Num Pages: 455 pages, 25 black & white tables. BIC Classification: KCA; KFF. Category: (P) Professional & Vocational. Dimension: 241 x 166 x 29. Weight in Grams: 764. . 2009. 1st Edition. hardcover. . . . . Seller Inventory # V9781420082661
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Stochastic Dominance and Applications to Finance, Risk and Economics
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Condition: New. Songsak Sriboonchitta is an associate professor and dean of the Faculty of Economics at Chiang Mai University in Thailand.Wing-Keung Wong is a professor of economics at Hong Kong Baptist University in China. Seller Inventory # 117362295
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Stochastic Dominance and Applications to Finance, Risk and Economics
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Condition: New. A guide that helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It uses real data and statistical procedures, such as hypothesis testing, to show how SD theory is applied in financial situations. Num Pages: 455 pages, 25 black & white tables. BIC Classification: KCA; KFF. Category: (P) Professional & Vocational. Dimension: 241 x 166 x 29. Weight in Grams: 764. . 2009. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781420082661
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Stochastic Dominance and Applications to Finance, Risk and Economics (Hardcover)
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Hardcover. Condition: new. Hardcover. Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a method for risk assessment in decision making. It provides basic background on SD for various areas of applications. Useful Concepts and Techniques for Economics Applications The majority of the text presents a systematic exposition of SD, emphasizing rigor and generality. It covers utility theory, multivariate SD, quantile functions, risk modeling, Choquet integrals, other risk measures, statistical inference, nonparametric estimation, hypothesis testing, and econometrics. The remainder of the book explores new applications of SD in finance, risk, and economics. At the beginning of each economic concept, the authors clearly explain only the necessary mathematics so readers are not overburdened with learning nonessential, arduous mathematics. This accessible guide helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science.It provides thorough coverage on the theory of SD, along with many applications to economics and other fields where risk is crucial. A guide that helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It uses real data and statistical procedures, such as hypothesis testing, to show how SD theory is applied in financial situations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781420082661
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