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TitleA theoretical model of jump diffusion-mean reversion: Constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor
Creator
Date Issued2017
Source PublicationBusiness Process Management Journal
ISSN1463-7154
Volume23Issue:3Pages:537-554
Abstract

Purpose: The purpose of this paper is to develop a theoretical model of a jump diffusion-mean reversion constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor as opposed to the deterministic floor used in the previous literatures. Design/methodology/approach: The paper adopts Merton’s jump diffusion (JD) model to simulate the price path followed by risky assets and the CIR mean reversion model to simulate the path followed by the short-term interest rate. The floor of the CPPI strategy is linked to the stochastic process driving the value of a fixed income instrument whose yield follows the CIR mean reversion model. The developed model is benchmarked against CNX-NIFTY 50 and is back tested during the extreme regimes in the Indian market using the scenario-based Monte Carlo simulation technique. Findings: Back testing the algorithm using Monte Carlo simulation across the crisis and recovery phases of the 2008 recession regime revealed that the portfolio performs better than the risky markets during the crisis by hedging the downside risk effectively and performs better than the fixed income instruments during the growth phase by leveraging on the upside potential. This makes it a value-enhancing proposition for the risk-averse investors. Originality/value: The study modifies the CPPI algorithm by re-defining the floor of the algorithm to be a stochastic mean reverting process which is guided by the movement of the short-term interest rate in the economy. This development is more relevant for two reasons: first, the short-term interest rate changes with time, and hence the constant yield during each rebalancing steps is not practically feasible; second, the historical literatures have revealed that the short-term interest rate tends to move opposite to that of the equity market. Thereby, during the bear run the floor will increase at a higher rate, whereas the growth of the floor will stagnate during the bull phase which aids the model to capitalize on the upward potential during the growth phase and to cut down on the exposure during the crisis phase.

KeywordCIR CPPI Jump diffusion model Monte Carlo simulation Portfolio insurance Stochastic process
DOI10.1108/BPMJ-01-2016-0005
URLView source
Indexed BySSCI
Language英语English
WOS Research AreaBusiness & Economics
WOS SubjectBusiness ; Management
WOS IDWOS:000404745900006
Scopus ID2-s2.0-85021353491
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6917
CollectionResearch outside affiliated institution
Corresponding AuthorLuo, Zongwei
Affiliation
1.Department of Quantitative Research,CRISIL Global Research & Analytics,Pune,India
2.Department of Computer Science,Southern University of Science and Technology,Shenzhen,China
3.Institute of Operations Management,Symbiosis International University,Nashik,India
Recommended Citation
GB/T 7714
Chakrabarty, Anindya,Luo, Zongwei,Dubey, Rameshwaret al. A theoretical model of jump diffusion-mean reversion: Constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor[J]. Business Process Management Journal, 2017, 23(3): 537-554.
APA Chakrabarty, Anindya, Luo, Zongwei, Dubey, Rameshwar, & Jiang, Shan. (2017). A theoretical model of jump diffusion-mean reversion: Constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor. Business Process Management Journal, 23(3), 537-554.
MLA Chakrabarty, Anindya,et al."A theoretical model of jump diffusion-mean reversion: Constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor". Business Process Management Journal 23.3(2017): 537-554.
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