
arXiv: 1210.3164
handle: 11564/445285 , 11573/558030
In this paper we propose a semi-Markov modulated model of interest rates. We assume that the switching process is a semi-Markov process with finite state space E and the modulated process is a diffusive process. We derive recursive equations for the higher order moments of the discount factor and we describe a Monte Carlo al- gorithm to execute simulations. The results are specialized to classical models as those by Vasicek, Hull and White and CIR with a semi-Markov modulation.
higher order moments; semi-markov process; interest rate, higher-order moments, Probability (math.PR), Applications of stochastic analysis (to PDEs, etc.), Computational Finance (q-fin.CP), semi-Markov process, FOS: Economics and business, Quantitative Finance - Computational Finance, Applications of Markov renewal processes (reliability, queueing networks, etc.), FOS: Mathematics, Pricing of Securities (q-fin.PR), Diffusion processes, Quantitative Finance - Pricing of Securities, Interest rates, asset pricing, etc. (stochastic models), interest rate, Mathematics - Probability
higher order moments; semi-markov process; interest rate, higher-order moments, Probability (math.PR), Applications of stochastic analysis (to PDEs, etc.), Computational Finance (q-fin.CP), semi-Markov process, FOS: Economics and business, Quantitative Finance - Computational Finance, Applications of Markov renewal processes (reliability, queueing networks, etc.), FOS: Mathematics, Pricing of Securities (q-fin.PR), Diffusion processes, Quantitative Finance - Pricing of Securities, Interest rates, asset pricing, etc. (stochastic models), interest rate, Mathematics - Probability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
