Khuman, Anil and Phelps, Steve and Constantinou, Nick (2012) Constant Proportion Portfolio Insurance Strategies under Cumulative Prospect Theory with Reference Point Adaptation. Working Paper. EBS Working Papers, Colchester.
Khuman, Anil and Phelps, Steve and Constantinou, Nick (2012) Constant Proportion Portfolio Insurance Strategies under Cumulative Prospect Theory with Reference Point Adaptation. Working Paper. EBS Working Papers, Colchester.
Khuman, Anil and Phelps, Steve and Constantinou, Nick (2012) Constant Proportion Portfolio Insurance Strategies under Cumulative Prospect Theory with Reference Point Adaptation. Working Paper. EBS Working Papers, Colchester.
Abstract
Constant Proportion Portfolio Insurance (CPPI) is a significant and highly popular investment strategy within the structured product market. This has led to recent work which attempts to explain the popularity of CPPI by showing that it is compatible with Cumulative Prospect Theory (CPT). We demonstrate that this cannot explain the popularity of ratcheted CPPI products which lock-in gains during strong growth in the portfolio. In this paper we conjecture that CPPI investors not only follow CPT, but crucially that they also adapt their reference point over time. This important distinction explains investors preference for ratcheted products
Item Type: | Monograph (Working Paper) |
---|---|
Uncontrolled Keywords: | Constant Proportion Portfolio Insurance; Ratchets; Cumulative Prospect Theory; Adaptive Reference Point |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
Divisions: | Faculty of Social Sciences > Essex Business School Faculty of Science and Health > Computer Science and Electronic Engineering, School of > Centre for Computational Finance and Economic Agents |
Depositing User: | Users 161 not found. |
Date Deposited: | 02 Jan 2014 10:02 |
Last Modified: | 02 Jan 2014 10:02 |
URI: | http://repository.essex.ac.uk/id/eprint/8127 |
Available files
Filename: WP 2012-7 Constantinou.pdf