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Bruno Dupire Bloomberg LP CRFMS, UCSB Santa Barbara, April 26, 2007

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1 Bruno Dupire Bloomberg LP CRFMS, UCSB Santa Barbara, April 26, 2007
Applications of the Root Solution of the Skorohod Embedding Problem in Finance Bruno Dupire Bloomberg LP CRFMS, UCSB Santa Barbara, April 26, 2007 Bruno Dupire

2 Variance Swaps Vanilla options are complex bets on
Variance Swaps capture volatility independently of S Payoff: Realized Variance Replicable from Vanilla option (if no jump): Bruno Dupire

3 Options on Realized Variance
Over the past couple of years, massive growth of - Calls on Realized Variance: - Puts on Realized Variance: Cannot be replicated by Vanilla options Bruno Dupire

4 Classical Models Classical approach:
To price an option on X: Model the dynamics of X, in particular its volatility Perform dynamic hedging For options on realized variance: Hypothesis on the volatility of VS Dynamic hedge with VS But Skew contains important information and we will examine how to exploit it to obtain bounds for the option prices. Bruno Dupire

5 Link with Skorokhod Problem
Option prices of maturity T Risk Neutral density of : Skorokhod problem: For a given probability density function such that find a stopping time of finite expectation such that the density of a Brownian motion W stopped at is A continuous martingale S is a time changed Brownian Motion: is a BM, and Bruno Dupire

6 Solution of Skorokhod Calibrated Martingale
Then satisfies If , then is a solution of Skorokhod as Bruno Dupire

7 ROOT Solution Possibly simplest solution : hitting time of a barrier
Bruno Dupire

8 Barrier Density Density of PDE: BUT: How about Density Barrier?
Bruno Dupire

9 PDE construction of ROOT (1)
Given , define If , satisfies with initial condition: Apply the previous equation with until Then for , Variational inequality: Bruno Dupire

10 PDE computation of ROOT (2)
Define as the hitting time of Then Thus , and B is the ROOT barrier Bruno Dupire

11 PDE computation of ROOT (3)
Interpretation within Potential Theory Bruno Dupire

12 ROOT Examples Bruno Dupire

13 Minimize one expectation amounts to maximize the other one
Realized Variance Call on RV: Ito: taking expectation, Minimize one expectation amounts to maximize the other one Bruno Dupire

14 Link / LVM Suppose , then define satisfies Let be a stopping time.
For , one has and where generates the same prices as X: for all (K,T) For our purpose, identified by Bruno Dupire

15 Optimality of ROOT As to maximize to maximize to minimize
and satisfies: is maximum for ROOT time, where in and in Bruno Dupire

16 Application to Monte-Carlo simulation
Simple case: BM simulation Classical discretization: with  N(0,1) Time increment is fixed. BM increment is gaussian. Bruno Dupire

17 BM increment unbounded
 Hard to control the error in Euler discretization of SDE  No control of overshoot for barrier options : and  No control for time changed methods L Bruno Dupire

18 ROOT Monte-Carlo Clear benefits to confine the (time, BM) increment to a bounded region : Choose a centered law that is simple to simulate Compute the associated ROOT barrier : and, for , draw   The scheme generates a discrete BM with the additional information that in continuous time, it has not exited the bounded region. Bruno Dupire

19 Uniform case 1 : associated Root barrier -1 Bruno Dupire

20 Uniform case Scaling by : Bruno Dupire

21 Example 1. Homogeneous scheme: Bruno Dupire

22 Example Adaptive scheme: 2a. With a barrier: L L Case 1 Case 2
Bruno Dupire

23 Example 2. Adaptive scheme: 2b. Close to maturity: Bruno Dupire

24 Example 2. Adaptive scheme:
Very close to barrier/maturity : conclude with binomial 1% 50% 50% 99% L Close to barrier Close to maturity Bruno Dupire

25 Approximation of can be very well approximated by a simple function
Bruno Dupire

26 Properties Increments are controlled  better convergence No overshoot
Easy to scale Very easy to implement (uniform sample) Low discrepancy sequence apply Bruno Dupire

27 CONCLUSION Skorokhod problem is the right framework to analyze range of exotic prices constrained by Vanilla prices Barrier solutions provide canonical mapping of densities into barriers They give the range of prices for option on realized variance The Root solution diffuses as much as possible until it is constrained The Rost solution stops as soon as possible We provide explicit construction of these barriers and generalize to the multi-period case. Bruno Dupire


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