Arbitrage Pricing: Continuous-State, Continuous-Time Models
In this entry, we describe arbitrage pricing in the continuous-state, continuous-time setting. There are a number of important conceptual changes in going from a discrete-state, discrete-time setting (as described in the entry “Arbitrage Pricing: Finite-State Models”) to a continuous-state, continuous-time setting. First, each state of the world has probability zero. This precludes the use of standard conditional probabilities for the definition of conditional expectation and requires the use of filtrations (rather than of information structures) to describe the propagation of information. Second, the tools of matrix algebra are inadequate; the more complex tools of calculus and stochastic calculus are required. Third, simple generalizations are rarely possible as many pathological cases appear in connection ...
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