The Randomized Heston Model

Autor: Antoine Jacquier, Fangwei Shi
Přispěvatelé: Engineering & Physical Science Research Council (EPSRC)
Rok vydání: 2019
Předmět:
Mathematics
Interdisciplinary Applications

Social Sciences
SMILE ASYMPTOTICS
Implied volatility
01 natural sciences
STOCHASTIC VOLATILITY
010104 statistics & probability
IMPLIED VOLATILITY
JUMPS
Computer Science::Computational Engineering
Finance
and Science

Business & Economics
TERM STRUCTURE
0102 Applied Mathematics
0502 economics and business
Applied mathematics
Point (geometry)
0101 mathematics
Heston
Mathematics
LARGE DEVIATIONS
Numerical Analysis
Science & Technology
asymptotic expansion
050208 finance
Stochastic volatility
60F10
91G20
91B70

Applied Mathematics
05 social sciences
Social Sciences
Mathematical Methods

Variance (accounting)
Business
Finance

Heston model
Physical Sciences
Large deviations theory
Asymptotic expansion
q-fin.PR
Mathematical Methods In Social Sciences
BEHAVIOR
Finance
Zdroj: SIAM Journal on Financial Mathematics. 10:89-129
ISSN: 1945-497X
Popis: We propose a randomised version of the Heston model-a widely used stochastic volatility model in mathematical finance-assuming that the starting point of the variance process is a random variable. In such a system, we study the small- and large-time behaviours of the implied volatility, and show that the proposed randomisation generates a short-maturity smile much steeper (`with explosion') than in the standard Heston model, thereby palliating the deficiency of classical stochastic volatility models in short time. We precisely quantify the speed of explosion of the smile for short maturities in terms of the right tail of the initial distribution, and in particular show that an explosion rate of~tγ (γ∈[0,1/2]) for the squared implied volatility-as observed on market data-can be obtained by a suitable choice of randomisation. The proofs are based on large deviations techniques and the theory of regular variations.
Databáze: OpenAIRE