Research Advisor
Professor Jean-Pierre Fouque
E-mail: fouque@math.ncsu.edu
Http://www.math.ncsu.edu/~fouque
Special Interests
Dynamic Resource Management
and Security Pricing for Finance.
Parameter Estimation and
Identification for Biomedicine, Pharmacokinetics and Ecosystem models.
Numerical Method Design
and Analysis for Optimization Problems.
Graduate Studies and
Research
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Favorite Subjects: Stochastic
Process, Partial Differential Equation, Numerical Computation, and Dynamic
Programming.
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Research:
My reseach focuses on pricing and hedging exotic options under stochastic volatility environment.
Examples include compound options, American options, Asian options, and trading volatility contracts.
Recently, I am interested in stochastic computation and studing MCMC methods to estimate SV model parameters.
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Cooperator: Mr. Yeol C. Seong
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A Tutorial in MCMC
Report & Publication
Financial Mathematics
- (posted 9/30/03) J.P. Fouque and C.H. Han
Asian Options under Multiscale Stochastic Volatility. Submitted.
- (posted 6/5/03) G. Molina, C.H. Han and J.P. Fouque:
MCMC Estimation of Multiscale Stochastic Volatility Models,
Submitted.
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(posted 11/26/02, revised 6/5/03) J.-P. Fouque
and C.-H. Han, "Pricing Asian Options With Stochastic Volatility," Quantitative Finance Volume 3 (2003) 353 - 362.
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Y. Seong and C.-H. Han, etc,
"Pricing Interest Rate Related Instruments", Technical Report, CRSC, November
2001.
Bio-Mathematics
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J. Eisenfeld & C.-H. Han,
"On Sharp Interval Bounds, Parametric Identification and the Diagrams of
Compartmental System", May 1999. (In memory of Professor Jerome Eisenfeld)
Numerical Linear Algebra
and Control
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W.-W. Lin, C.-S.
Wang & C.-H. Han, "Continuation Methods for Solving Discrete-Time Algebraic
Riccati Equations", IEEE Tran. Automatic Control, Vol. 40, No. 5, May 1995.
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C.-H. Han, W.-W. Lin & C.-S.
Wang, "Existence of Homotopy Methods for Solving Modified Algebraic Riccati
Equations", April 1994.
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Master Thesis: Homotopy Methods
for Solving the Modified Algebraic Riccati Equations, National Tsing-Hua
University, June 1994.
My talks
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Variance Reduction for Monte Carlo Methods to Evaluate Option Prices under Multi-factor Stochastic Volatility Models,
March. 26, 2004, Ford Motor Company, Detroit, MI.
Part I (PowerPoint)
Part II (PDF)
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Variance Reduction for Monte Carlo Methods to Evaluate Option Prices under Multi-factor Stochastic Volatility Models,
March. 24, 2004, IMA, University of Minnesota.
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(1)
Pricing Volatility-Dependent Optinos under Stochastic Volatility,
Feb. 3,
2004, Mathematics Institute,Acamedia Sinica, Taiwan.
(2)
Reduction of Asian Options: from the aspect of financial engineering,
Feb. 3,
2004, Mathematics Institute,Acamedia Sinica, Taiwan.
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Pricing Volatility-Dependent Optinos under Stochastic Volatility: from the aspect of financial engineering,
Dec. 5,
2003, Department of Mathematics, University of Minnesota.
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An Epsilon-Martingale Approach for the Pricing and Hedging of Volatility Contracts,
July 23,
2003, NCTS, Taiwan.
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Pricing Asian Options with Stochastic Volatilities,
July 21,
2003, NCTS, Taiwan.
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"Time Scales in Stochastic Volatility Models"
July 16,
2003, NCTS, Taiwan.
Abstracts:
A motivation for stochastic volatility(SV) models will be given in the first part of this talk.
Then we introduce variogram analysis and use this tool to capture the appearance of a short or
fast time scale in SV models. In particular, we examine TAIEX (Taipei Stock Exchange Capitalization
Weighted Stock Index) of high frequency data form May 2002 to May 2003.
Combining with range-based estimation,
the existence of a short time scale appears as the rate of mean reversion is about 2 days.
In the end, we review the price approximation to
European option prices and related calibration issues.
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Pricing Asian options and Variance Swaps with Volatility Scales,
Stochastic Computation Final Workshop, June 28,
2003, SAMSI.
Abstract:
In this talk, we first present a dimension reduction technique for pricing arithmetic average Asian
options in the context of multiscale-factor stochastic volatility models. This technique is very
useful to reduce computational efforts comparing to the usual higher dimensional Asian pricing
problems. In particular, the price approximation derived from the multiscale asymptotic analysis
allows relevant parameters to be calibrated from the implied volatility surface. We then turn to
a similar subject: pricing volatility contracts but the SV model is restricted to one fast
mean-reverting factor. We show that applying the Feynman-Kac formula may lead to a degenerate
pricing PDE. A particular contract "corridor" is considered, and we show that the price of this
contract should take account the local time appearing around boundaries of the corridor.
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"Short time scale in S&P 500
and option price," Stochastic Computation Mid-Term Workdays, Feb 20,
2003, SAMSI.
Abstract:
The presence of a short time-scale in S&P 500 can be identified by use of the empirical structure
function, or variogram, of the high-frequency log absolute returns.
Jumps in the model can not effect the rate of mean reverting process. Instead, it amplifies the
level of noise in the variogram.
We also show that a well-separated longer time-scale can be ignored under the pricing measure but
not for short time-scale. Option pricing problem under fast-scale volatility is dealt by
asymptotic analysis such that the approximated option price takes into account the skew of
implied volatility.
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"Graduate Student Recruiting Weekend: Financial Mathematics", Mathematics Department, NCSU, March, 1,
2003, NC.