Constant proportion portfolio insurance under a regime switching exponential Lévy process

2013 ◽  
Vol 52 (3) ◽  
pp. 508-521 ◽  
Author(s):  
Chengguo Weng
2017 ◽  
Vol 127 ◽  
pp. 104-110
Author(s):  
Yu-Ting Chen ◽  
Yu-Tzu Chen ◽  
Yuan-Chung Sheu

2018 ◽  
Vol 6 (1) ◽  
pp. 32
Author(s):  
Muhammed A. S. Murad

In this paper, stochastic compound Poisson process is employed to value the catastrophic insurance options and model the claim arrival process for catastrophic events, which were written in the loss period , during which the catastrophe took place. Here, a time compound process gives the underlying loss index before and after  whose losses are revaluated by inhomogeneous exponential Levy process factor. For this paper, an exponential Levy process is used to evaluate the well-known European call option in order to price Property Claim Services catastrophe insurance based on catastrophe index.


2016 ◽  
Vol 7 (1) ◽  
pp. 59-80
Author(s):  
Elma Agić-Šabeta

Abstract Background: In today’s highly volatile and unpredictable market conditions, there are very few investment strategies that may offer a certain form of capital protection. The concept of portfolio insurance strategies presents an attractive investment opportunity. Objectives: The main objective of this article is to test the use of portfolio insurance strategies in Southeast European (SEE) markets. A special attention is given to modelling non-risky assets of the portfolio. Methods/Approach: Monte Carlo simulations are used to test the buy-and-hold, the constant-mix, and the constant proportion portfolio insurance (CPPI) investment strategies. A covariance discretization method is used for parameter estimation of bond returns. Results: According to the risk-adjusted return, a conservative constant mix was the best, the buy-and-hold was the second-best, and the CPPI the worst strategy in bull markets. In bear markets, the CPPI was the best in a high-volatility scenario, whereas the buy-and-hold had the same results in low- and medium-volatility conditions. In no-trend markets, the buy-and-hold was the first, the constant mix the second, and the CPPI the worst strategy. Higher transaction costs in SEE influence the efficiency of the CPPI strategy. Conclusions: Implementing the CPPI strategy in SEE could be done by combining stock markets from the region with government bond markets from Germany due to a lack of liquidity of the government bond market in SEE.


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