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Supported by Workshop on Stochastic Analysis and Computational Finance, November 2005 Imperial College (London) G.N. Milstein and M.V. Tretyakov Numerical analysis of Monte Carlo evaluation of Greeks by finite differences J. Comp. Fin. 8, No 3 (2005), 1-33
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MC evaluation of Greeks by finite differences Plan Model Model Other approaches Other approaches Finite difference approach Finite difference approach Numerical integration error Numerical integration error Monte Carlo error Monte Carlo error Other Greeks Other Greeks Numerical examples Numerical examples Conclusions Conclusions
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Model
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Model
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Model
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Other approaches Broadie, Glasserman (1996); Milstein, Schoenmakers (2002)
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Other approaches Fournie, Lasry, Lebuchoux, Lions, Touzi (1999, 2001); Benhamou (2000)
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Finite difference approach Standard finite difference formulas Weak-sense numerical integration of SDEs Monte Carlo technique
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Finite difference approach Newton (1997); Wagner (1998); Milstein, Schoenmakers (2002); M&T (2004)
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Weak Euler scheme
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Estimator for the option price
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Estimator for deltas
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Estimators for deltas
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Assumptions
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Numerical integration error Proof. It is based on the Talay-Tubaro error expansion (Talay, Tubaro (1990); M&T (2004))
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Numerical integration error: proof
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Monte Carlo error: price
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Monte Carlo error: deltas If all the realizations are independent
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Monte Carlo error: deltas Boyle (1997); Glasserman (2003), Glasserman, Yao (1992), Glynn (1989); L’Ecuyer, Perron (1994)
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Monte Carlo error: deltas
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Main theorem
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Higher-order integrators
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Non-smooth payoff functions Bally, Talay (1996)
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Non-smooth payoff functions
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Other Greeks
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Other Greeks: theta
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Numerical tests: European call
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Numerical tests: variance reduction Newton (1997); Milstein, Schoenmakers (2002); M&T (2004)
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Numerical tests: variance reduction
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Numerical tests: binary option
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Numerical tests: Heston stochastic volatility model
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Supported by Approximate deltas by finite differences taking into account that the price is evaluated by weak-sense numerical integration of SDEs together with the MC technique Exploit the method of dependent realizations in the MC simulations Rigorous error analysis Conclusions
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