Stochastic Dominance: Investment Decision Making under Uncertainty: 12 (Studies in Risk and Uncertainty, 12) - Image 1

£145.63

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

Name: Stochastic Dominance: Investment Decision Making under Uncertainty: 12 (Studies in Risk and Uncertainty, 12)
Brand: Springer
Price: 145.63 GBP
Availability: InStock

Microeconomics

This is the most expensive it has ever been. Walk away.

£146 today · previous high £146 · all-time low £144

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 17 days • 17 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 17 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £144 (10 days, 58.8%)

Price range: £144 - £146

Price levels: 2 different prices over 17 days

Description

This second edition of Stochastic Dominance is devoted to investment decision making under uncertainty. The book covers four basic approaches to this process: a) The stochastic dominance (SD) approach, developed on the foundation of von-Neumann and Morgenstem^ expected utiHty paradigm. b) The mean-variance approach developed by Markowitz^ on the foundation of von-Neumann and Morgenstern's expected utility or simply on the assumption of a utility function based on mean and variance. c) The "almost" stochastic dominance (ASD) rules and the "almost" me- variance rule (AMV). No matter whether one employs objective or subjective probabilities, the common stochastic dominance criteria and the mean variance rule may lead to paradoxes: they are unable to rank prospect A w^hich yields $1 with a probability of 0.01 and a million dollars with probability of 0.99, and prospect B which yields $2 with certainty. This is an absurdity as in any sample of subjects one takes, 100% of subjects choose A. The "almost" stochastic dominance criteria and "almost" mean variance rule, which have been recently been developed by Leshno and Levy in 2002^, suggest a remedy to such paradoxes.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 1441939830
Category: Books > Subjects > Business, Finance & Law > Economics > Microeconomics
Domain: Amazon UK
Release Date: 25 November 2010
Listed Since: 14 June 2010

Barcode

No barcode data available

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

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Stochastic Dominance: Investment Decision Making under Uncertainty

Stochastic Dominance: Investment Decision Making under Uncertainty

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

Stochastic Dominance and Applications to Finance, Risk and Economics

Portfolio Optimization and Performance Analysis (Chapman and Hall/CRC Financial Mathematics Series)

Stochastic Dominance and Applications to Finance, Risk and Economics

Advanced Mathematical Methods for Finance

Lectures On The Theory And Application Of Modern Finance With R And Chatgpt: 10 (World Scientific Lecture Notes in Finance)

Market Tremors: Quantifying Structural Risks in Modern Financial Markets

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

Financial Economics, Risk And Information (2nd Edition)

Financial Models with Levy Processes and Volatility Clustering: 187 (Frank J. Fabozzi Series)

The Economics of Continuous–Time Finance (The MIT Press)

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

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

Stochastic Financial Models (Chapman and Hall/CRC Financial Mathematics Series)

Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series)

Risk and Asset Allocation (Springer Finance)

Quantitative Portfolio Optimization: Advanced Techniques and Applications (Wiley Finance)

Risk and Asset Allocation (Springer Finance)

Statistical Arbitrage in Algorithmic Trading: Stationarity, Cointegration, and Mean-Reverting Stochastic Processes With Python (Computational Mathematics Library)

Robust Equity Portfolio Management, + Website: Formulations, Implementations, and Properties using MATLAB (Frank J. Fabozzi Series)

Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies: 316 (Studies in Fuzziness and Soft Computing, 316)

Portfolio Theory and Arbitrage: A Course in Mathematical Finance (Graduate Studies in Mathematics)