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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We also illustrate the important properties of options with numerical graphs.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper we propose the transition probability of business cycle for the pricing of options with credit risk.
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Key Findings & Data:In order to describe business cycles of markets, the regime switching model is considered.
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Conclusion & Impact:We also illustrate the important properties of options with numerical graphs.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Business cycle · Option pricing · Credit risk
Abstract
In this paper we propose the transition probability of business cycle for the pricing of options with credit risk. In order to describe business cycles of markets, the regime switching model is considered. We provide the probability density functions of the occupation time of the high volatility regime via Laplace transforms. Using these functions we derive the analytic valuation formulae for options with correlated credit risk and business cycle. We also illustrate the important properties of options with numerical graphs.
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Cite This Article
Kim, G. (2016). Probability for transition of business cycle and pricing of options with correlated credit risk. Hacettepe Journal of Mathematics and Statistics, Volume: 45 Issue: 1. https://ajindex.com/articles/1403202