Polar Coordinates for the 3/2 Stochastic Volatility Model

被引:0
|
作者
Nekoranik, Paul [1 ]
机构
[1] JP Morgan, London, England
关键词
3/2; model; asymptotic smile; Brownian winding; eikonal equation; polar coordinates; Riemannian geometry; stochastic volatility; EQUATIONS; OPTIONS;
D O I
10.1111/mafi.12455
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The 3/2 stochastic volatility model is a continuous positive process s with a correlated infinitesimal variance process nu$\nu $. The exact definition is provided in the Introduction immediately below. By inspecting the geometry associated with this model, we discover an explicit smooth map psi$ \psi $ from (R+)2$({\mathbb{R}}<^>+)<^>2 $ to the punctured plane R2-(0,0)${\mathbb{R}}<^>2-(0,0)$ for which the process (u,v)=psi(nu,s)$(u,v)=\psi(\nu,s)$ satisfies an SDE of a simpler form, with independent Brownian motions and the identity matrix as diffusion coefficient. Moreover, (nu t,st)$(\nu_t,s_t)$ is recoverable from the path (u,v)[0,t]$(u,v)_{[0,t]}$ by a map that depends only on the distance of (ut,vt)$(u_t,v_t)$ from the origin and the winding angle around the origin of (u,v)[0,t]$(u,v)_{[0,t]}$. We call the process (u,v)$(u,v)$ together with its map to (nu,s)$(\nu,s)$ the polar coordinate system for the 3/2 model. We demonstrate the utility of the polar coordinate system by using it to write this model's asymptotic smile for all strikes at t = 0. We also state a general theorem on obstructions to the existence of a map that trivializes the infinitesimal covariance matrix of a stochastic volatility model.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] THE 4/2 STOCHASTIC VOLATILITY MODEL: A UNIFIED APPROACH FOR THE HESTON AND THE 3/2 MODEL
    Grasselli, Martino
    MATHEMATICAL FINANCE, 2017, 27 (04) : 1013 - 1034
  • [2] O(2) model in polar coordinates at nonzero temperature
    Grahl, M.
    Seel, E.
    Giacosa, F.
    Rischke, D. H.
    PHYSICAL REVIEW D, 2013, 87 (09):
  • [3] Fractional stochastic volatility model
    Shi, Shuping
    Liu, Xiaobin
    Yu, Jun
    JOURNAL OF TIME SERIES ANALYSIS, 2025, 46 (02) : 378 - 397
  • [4] On leverage in a stochastic volatility model
    Yu, J
    JOURNAL OF ECONOMETRICS, 2005, 127 (02) : 165 - 178
  • [5] The Jacobi stochastic volatility model
    Ackerer, Damien
    Filipovic, Damir
    Pulido, Sergio
    FINANCE AND STOCHASTICS, 2018, 22 (03) : 667 - 700
  • [6] A Neural Stochastic Volatility Model
    Luo, Rui
    Zhang, Weinan
    Xu, Xiaojun
    Wang, Jun
    THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 6401 - 6408
  • [7] A threshold stochastic volatility model
    So, MKP
    Li, WK
    Lam, K
    INSURANCE MATHEMATICS & ECONOMICS, 2003, 32 (03): : 485 - 485
  • [8] Stochastic volatility model with filtering
    Elliott, RJ
    Miao, H
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2006, 24 (03) : 661 - 683
  • [9] A threshold stochastic volatility model
    So, MKP
    Li, WK
    Lam, K
    JOURNAL OF FORECASTING, 2002, 21 (07) : 473 - 500
  • [10] The α-hypergeometric stochastic volatility model
    Da Fonseca, Jose
    Martini, Claude
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2016, 126 (05) : 1472 - 1502