Fast solver three-factor Heston / Hull-White model - PowerPoint PPT Presentation

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Fast solver three-factor Heston / Hull-White model

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Simulation Heston process Simulation Hull-White process ... Investigating the Heston model. Implementing three-factor model solver ... – PowerPoint PPT presentation

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Title: Fast solver three-factor Heston / Hull-White model


1
Fast solver three-factor Heston / Hull-White
model
  • Floris Naber
  • ING Amsterdam TU Delft

Delft 22 March 1530 www.ing.com
2
Outline
  • Introduction to the problem (three-factor model)
  • Equity underlying
  • Stochastic interest
  • Stochastic volatility
  • Solving partial differential equations without
    boundary conditions
  • 1-dimensional Black-Scholes equation
  • 1-dimensional Hull-White equation
  • Conclusion
  • Future goals

3
Introduction (Three-factor model)
  • Underlying equity
  • S underlying equity, r interest rate,
    qdividend yield, vvariance
  • Stochastic interest (Hull-White)
  • r interest rate, ?average direction in which r
    moves, amean reversion rate, annual standard
    deviation of short rate
  • Stochastic volatility (Heston)
  • vvariance, ?speed of reversion, long term
    mean, ?vol. of vol.

4
Introduction
  • Simulation Heston process
    Simulation Hull-White process
  • (?1, 0.352, ?0.5,v00.352,T1) (?0.07,
    a0.05, s0.01, r00.03)

5
Introduction
  • Pricing equation for the three-factor Heston /
    Hull-White model
  • FAST ACCURATE GENERAL

6
Solving pde without boundary conditions
  • Solving
  • Implicitly with pde-boundary conditions
  • whole equation as boundary condition using
    one-sided differences
  • Explicitly on a tree-structured grid

7
1-dimensional Black-Scholes equation
  • Black-Scholes equation
  • r interest
  • q dividend yield
  • s volatility
  • V option price
  • S underlying equity

8
Black-Scholes(solved implicitly with pde)
9
Black-Scholes(solved implicitly with pde)
  • Inflow at right boundary, but one-sided
    differences wrong direction
  • Non-legitimate discretization, due to
    pde-boundary conditions
  • (positive and negative eigenvalues)
  • Actually adjusting extra diffusion and dispersion
    at boundary

10
Black-Scholes (solved explicitly on tree)
  • Upwind is used, so accuracy might be bad
  • Strict restriction for stability of Euler forward
  • Upperbound for spacestep with Gerschgorin
  • Example r 0.03, s 0.25, q 0, S 0,1000
    gives N lt 7
  • Better time discretization methods needed,
    proposed RKC-methods.

11
1-dimensional Hull-White equation
  • Hull-White equation
  • r interest rate
  • ?average direction in which r moves
  • amean reversion rate
  • annual standard deviation of short rate

12
Hull-White (solved implicitly with pde)
  • Caplets

13
Hull-White (solved implicitly with pde)
  • Flow direction same as one-sided differences as
    long as
  • Discretization is not legitimate, but effects are
    hardly noticeable

14
Hull-White (solved explicitly on tree)
  • Transformation applied to get rid of -rV
  • Upwind is used
  • Restriction on the time- and spacestep, but
    easier satisfied than Black-Scholes restriction
  • Results look accurate

15
Conclusion
  • Implicit methods with pde-boundary conditions
  • Give problems due to non legitimate
    discretization and wrong
  • flow-direction
  • Put boundary far away to obtain accurate results
  • Explicit methods
  • Very hard to satisfy stability conditions
  • Due to upwind less accurate

16
Future goals
  • More research on two methods to solve pdes
  • Explicit with RKC-methods
  • Investigating the Heston model
  • Implementing three-factor model solver
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