
We consider a financial market driven by a continuous time homogeneous Markov chain. Conditions for absence of arbitrage and for completeness are spelled out, non-arbitrage pricing of derivatives is discussed, and details are worked out for some cases. Closed form expressions are obtained for interest rate derivatives. Computations typically amount to solving a set of first order partial differential equations. An excursion into risk minimization in the incomplete case illustrates the matrix techniques that are instrumental in the model.
arbitrage pricing theory, Applications of stochastic analysis (to PDEs, etc.), Martingales with continuous parameter, Finance etc., Stochastic ordinary differential equations (aspects of stochastic analysis), martingale analysis, Risk theory, insurance, continuous time Markov chains, unit linked insurance, risk minimization, Continuous-time Markov processes on discrete state spaces
arbitrage pricing theory, Applications of stochastic analysis (to PDEs, etc.), Martingales with continuous parameter, Finance etc., Stochastic ordinary differential equations (aspects of stochastic analysis), martingale analysis, Risk theory, insurance, continuous time Markov chains, unit linked insurance, risk minimization, Continuous-time Markov processes on discrete state spaces
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