Analysis of Individual Risk Attitude for Risk Management Based on Cumulative Prospect Theory

Analysis of Individual Risk Attitude for Risk Management Based on Cumulative Prospect Theory

Fei-Chen Hsu (National Tsing Hua University, Taiwan, ROC) and Hsiao-Fan Wang (National Tsing Hua University, Taiwan, ROC)
DOI: 10.4018/978-1-59904-982-3.ch015
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Abstract

In this chapter, we used Cumulative Prospect Theory to propose an individual risk management process (IRM) including a risk analysis stage and a risk response stage. According to an individual’s preferential structure, an individual’s risk level for the confronted risk can be identified from risk analysis. And based on a response evaluation model, the appropriate response strategy is assessed at the risk response stage. The applicability of the proposed model is evaluated by an A-C court case. The results have shown that the proposed method is able to provide more useful and pertinent information than the traditional method of decision tree by using the expected monetary value (EMV).
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Introduction

Risk management has been widely applied in various fields, such as economics, insurance, industry, and so on. While the word “risk” means that uncertainty may be expressed through probability, risk management is a process comprising two main segments: risk analysis and risk response.

Most studies on risk management have focused on the causes and effects of a risk event. While this is important, follow-up considerations for assessing risks and response can provide valuable information in the face of risks. In addition, different individuals take the same risk event with different degrees of impacts. In consequence, the adopted actions will be different from different types of individuals. The studies from individual’s viewpoint were rarely found in the literature, yet it is significant, in particular, if an effective strategy is going to be proposed. Thus, in this chapter we intend to base on individual’s preference to propose an Individual Risk Management process call IRM in brief, which includes two parts of risk analysis and risk response. The risk analysis procedure is to identify the degree of risk with respect to the individual’s tolerance level; and the risk response process is to assess the considered response strategy, in order to provide an appropriate action.

Piney (2003) has introduced an idea of linking risk management and cognitive psychology to identify four personal risk zones with respect to the gains and losses of the outcomes. In light of the magnitude of influence, these four zones are the dead zone, the rational zone, the sensitivity zone, and the saturation zone. Since Piney’s paper did not provide a measure to classify these zones, in this chapter, we shall first investigate such issue to define an appropriate measure and then propose a systematic approach to analyze the risk magnitude, based on an individual’s tolerance level.

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Table of Contents
Preface
Hsiao-Fan Wang
Acknowledgment
Hsiao-Fan Wang
Chapter 1
Martin Spott, Detlef Nauck
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Chapter 2
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Chapter 3
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Chapter 4
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Arun Kulkarni, Sara McCaslin
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Fuzzy Neural Network Models for Knowledge Discovery
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Chapter 7
Ivan Bruha
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Chapter 8
Evolutionary Computing  (pages 131-142)
Thomas E. Potok, Xiaohui Cui, Yu Jiao
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Evolutionary Computing
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Chapter 9
M. C. Bartholomew-Biggs, Z. Ulanowski, S. Zakovic
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Dominic Savio Lee
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Malcolm J. Beynon
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Chapter 13
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Chapter 15
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In this chapter, we used Cumulative Prospect Theory to propose an individual risk management process (IRM) including a risk analysis stage and a... Sample PDF
Analysis of Individual Risk Attitude for Risk Management Based on Cumulative Prospect Theory
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Chapter 16
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Chapter 17
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Chapter 18
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About the Contributors