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On martingale property of the stochastic integral equations

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A martingale is a mathematical model for a fair wager and the modern theory of martingales plays a very important and useful role in the study of the stochastic fields. This paper is devoted to investigate a martingale and a non-martingale on the several stochastic integral or differential equations. Specially, we show that whether the stochastic integral equation involving a standard Wiener process with the associated filtration is or not a martingale.

Abstract

A martingale is a mathematical model for a fair wager and the modern theory of martingales plays a very important and useful role in the study of the stochastic fields. This paper is devoted to investigate a martingale and a non-martingale on the several stochastic integral or differential equations. Specially, we show that whether the stochastic integral equation involving a standard Wiener process with the associated filtration is or not a martingale.

참고문헌 (10)

  1. A. Friedman, "Stochastic di rential equations and applications" (1975), Academic press
  2. N. Ikeda, "Stochastic di erential equations and di usion processes" (1989), North-Holland
  3. I. Karatzas, "Brownian motion and stochastic calculus" (1991), Springer-Verlag
  4. E.O Pardoux, "Stochastic partial di rential equations and tering of diusion processes", Stochastics, 3, pp.127~167
  5. A. Pascucci, "PDE and Martingale Methods in Option Pricing" (2011), Springer
  6. P. Protter, "Stochastic integration and di erential equations" (1990), Springer-Verlag
  7. L.C.G. Rogers, "Di usions, Markov processes, and martingales" (1994), John wiley & sons
  8. L.C.G. Rogers, "Di usions, Markov processes, and martingales" (1987), John Wiley & Sons
  9. K. Sigman, "Notes on Brownian motion", Lecture Note, ~ (2005)
  10. D. Williams, "Probability with martingales" (1991), Cambridge university press

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