Stochastic Dominance: Investment Decision Making under Uncertainty - Image 1

£120.85

Springer Stochastic Dominance: Investment Decision Making under Uncertainty

Name: Stochastic Dominance: Investment Decision Making under Uncertainty
Brand: Springer
Price: 120.85 GBP
Availability: InStock

Microeconomics

This is the usual price. Wait for it to drop, or tell us your number.

£121 today · usual range £0–£0 · best ever £111

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 614 days • 614 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 614 days • 8 price levels

Days at Price

Current Price

Price Analysis

Most common price: £111 (195 days, 31.8%)

Price range: £111 - £123

Price levels: 8 different prices over 614 days

Description

This fully updated third edition is devoted to the analysis of various Stochastic Dominance (SD) decision rules. It discusses the pros and cons of each of the alternate SD rules, the application of these rules to various research areas like statistics, agriculture, medicine, measuring income inequality and the poverty level in various countries, and of course, to investment decision-making under uncertainty. The book features changes and additions to the various chapters, and also includes two completely new chapters. One deals with asymptotic SD and the relation between FSD and the maximum geometric mean (MGM) rule (or the maximum growth portfolio). The other new chapter discusses bivariate SD rules where the individual’s utility is determined not only by his own wealth, but also by his standing relative to his peer group. Stochastic Dominance: Investment Decision Making under Uncertainty, 3rd Ed. covers the following basic issues: the SD approach, asymptotic SD rules, the mean-variance (MV) approach, as well as the non-expected utility approach. The non-expected utility approach focuses on Regret Theory (RT) and mainly on prospect theory (PT) and its modified version, cumulative prospect theory (CPT) which assumes S-shape preferences. In addition to these issues the book suggests a new stochastic dominance rule called the Markowitz stochastic dominance (MSD) rule corresponding to all reverse-S-shape preferences. It also discusses the concept of the multivariate expected utility and analyzed in more detail the bivariate expected utility case. From the reviews of the second edition: "This book is an economics book about stochastic dominance. … is certainly a valuable reference for graduate students interested in decision making under uncertainty. It investigates and compares different approaches and presents many examples. Moreover, empirical studies and experimental results play an important role in this book, which makes it interesting to read." (Nicole Bäuerle, Mathematical Reviews, Issue 2007 d)

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319217070
Category: Books > Subjects > Business, Finance & Law > Economics > Microeconomics
Domain: Amazon UK
Release Date: 12 November 2015
Listed Since: 11 June 2015

Barcode

No barcode data available

Springer Stochastic Dominance: Investment Decision Making under Uncertainty

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Stochastic Dominance: Investment Decision Making under Uncertainty: 12 (Studies in Risk and Uncertainty, 12)

Stochastic Dominance and Applications to Finance, Risk and Economics

Stochastic Dominance and Applications to Finance, Risk and Economics

Stochastic Dominance: Investment Decision Making under Uncertainty

Advanced Mathematical Methods for Finance

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications: 46 (International Series in Operations Research & Management Science, 46)

Stochastic Modelling of Big Data in Finance (Chapman and Hall/CRC Financial Mathematics Series)

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

Quantitative Fund Management (Chapman & Hall/CRC Financial Mathematics)

Risk-Sensitive Investment Management (Advanced Series on Statistical Science & Applied Probability): 19

Continuous-time Stochastic Control and Optimization with Financial Applications: 61 (Stochastic Modelling and Applied Probability, 61)

Markov Models and Optimization: 49 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Options Pricing and Portfolio Optimization: Modern Methods of Financial Mathematics (Graduate Studies in Mathematics)

Stochastic Methods: A Handbook for the Natural and Social Sciences: 13 (Springer Series in Synergetics, 13)

Managing Safety of Heterogeneous Systems: Decisions under Uncertainties and Risks: 658 (Lecture Notes in Economics and Mathematical Systems, 658)

Stochastic Systems: Estimation, Identification, and Adaptive Control: 75 (Classics in Applied Mathematics, Series Number 75)

Informal Introduction To Stochastic Calculus With Applications, An: Second Edition

Problems in Portfolio Theory and the Fundamentals of Financial Decision Making: 10 (World Scientific Series in Finance)

Continuous-time Stochastic Control and Optimization with Financial Applications: 61 (Stochastic Modelling and Applied Probability, 61)

Informal Introduction To Stochastic Calculus With Applications, An (second Edition)

Pathwise Estimation and Inference for Diffusion Market Models

Stochastic Optimization Methods: Applications in Engineering and Operations Research

Introduction to Stochastic Calculus for Finance: A New Didactic Approach: 579 (Lecture Notes in Economics and Mathematical Systems, 579)

Introduction to Stochastic Analysis and Malliavin Calculus