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Modelling for Financial Decisions

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Cover of 'Modelling for Financial Decisions'

Table of Contents

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    Book Overview
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    Chapter 1 Financial Modelling is Back in Town
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    Chapter 2 Inflation and Firm Growth: A Reassessment
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    Chapter 3 Multi-Factor Financial Planning: An Outline and Illustration
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    Chapter 4 A Survey and Analysis of the Application of the Laplace Transform to Present Value Problems
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    Chapter 5 Tax Effects in the Dutch Bond Market
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    Chapter 6 The Continuous Quotations at an Auction Market
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    Chapter 7 A New Perspective on Dynamic Portfolio Policies
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    Chapter 8 The Splitting Up of a Financial Project into Uniperiodic Consecutive Projects
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    Chapter 9 Modelling Stock Price Behaviour by Financial Ratios
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    Chapter 10 An Actuarial and Financial Analysis for Ecu Insurance Contracts
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    Chapter 11 Multiperiod Analysis of a Levered Portfolio
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    Chapter 12 The Time Series Characteristics of Quarterly Nominal and Real Lira/Pound-Sterling Exchange Rate Movements, 1973–1988
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    Chapter 13 Exploring Efficient Sets and Equilibria on Risky Assets with ABAPO DSS Prototype Version 2.1.
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    Chapter 14 A Stochastic Cash Model with Deterministic Elements
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    Chapter 15 Utility of Wealth and Relative Risk Aversion: Operationalization and Estimation
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    Chapter 16 On the Robustness of Models of Optimal Capital Structure
Attention for Chapter 15: Utility of Wealth and Relative Risk Aversion: Operationalization and Estimation
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Citations

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Chapter title
Utility of Wealth and Relative Risk Aversion: Operationalization and Estimation
Chapter number 15
Book title
Modelling for Financial Decisions
Published by
Springer, Berlin, Heidelberg, January 1991
DOI 10.1007/978-3-642-76761-6_15
Book ISBNs
978-3-64-276763-0, 978-3-64-276761-6
Authors

Nico L. Van Der Sar, Van Der Sar, Nico L.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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