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Functional Itô Calculus and PDEs for Path-Dependent Options Bruno Dupire Bloomberg L.P. Rutgers University Conference New Brunswick, December 4, 2009.

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Presentation on theme: "Functional Itô Calculus and PDEs for Path-Dependent Options Bruno Dupire Bloomberg L.P. Rutgers University Conference New Brunswick, December 4, 2009."— Presentation transcript:

1 Functional Itô Calculus and PDEs for Path-Dependent Options Bruno Dupire Bloomberg L.P. Rutgers University Conference New Brunswick, December 4, 2009

2 Outline 1)Functional It ô Calculus Functional Itô formula Functional Feynman-Kac PDE for path dependent options 2)Volatility Hedge Local Volatility Model Volatility expansion Vega decomposition Robust hedge with Vanillas Examples

3 1) Functional It ô Calculus

4 Why?

5 Review of It ô Calculus 1D nD infiniteD Malliavin Calculus Functional Itô Calculus current value possible evolutions

6 Functionals of running paths 0 T 12.87 6.32 6.34

7 Examples of Functionals

8 Derivatives

9 Examples

10 Topology and Continuity ts X Y

11 Functional It ô Formula

12 Fragment of proof

13 Functional Feynman-Kac Formula

14 Delta Hedge/Clark-Ocone

15 P&L Break-even points Option Value Delta hedge P&L of a delta hedged Vanilla

16 Functional PDE for Exotics

17 Classical PDE for Asian

18 Better Asian PDE

19 2) Robust Volatility Hedge

20 Local Volatility Model Simplest model to fit a full surface Forward volatilities that can be locked

21 Summary of LVM Simplest model that fits vanillas In Europe, second most used model (after Black- Scholes) in Equity Derivatives Local volatilities: fwd vols that can be locked by a vanilla PF Stoch vol model calibrated  If no jumps, deterministic implied vols => LVM

22 S&P500 implied and local vols

23 S&P 500 Fit Cumulative variance as a function of strike. One curve per maturity. Dotted line: Heston, Red line: Heston + residuals, bubbles: market RMS in bps BS: 305 Heston: 47 H+residuals: 7

24 Hedge within/outside LVM 1 Brownian driver => complete model Within the model, perfect replication by Delta hedge Hedge outside of (or against) the model: hedge against volatility perturbations Leads to a decomposition of Vega across strikes and maturities

25 Implied and Local Volatility Bumps implied to local volatility

26 P&L from Delta hedging

27 Model Impact

28 Comparing calibrated models

29 Volatility Expansion in LVM

30 Fréchet Derivative in LVM

31 One Touch Option - Price Black-Scholes model S 0 =100, H=110, σ=0.25, T=0.25

32 One Touch Option - Γ

33

34 Up-Out Call - Price Black-Scholes model S 0 =100, H=110, K=90, σ=0.25, T=0.25

35 Up-Out Call - Γ

36

37 Black-Scholes/LVM comparison

38 Vanilla hedging portfolio I

39 Vanilla hedging portfolios II

40 Example : Asian option K T K T

41 Asian Option Hedge K T K T

42 Fwd Start Option Hedge

43

44 Conclusion It ô calculus can be extended to functionals of price paths Price difference between 2 models can be computed We get a variational calculus on volatility surfaces It leads to a strike/maturity decomposition of the volatility risk of the full portfolio


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