Polar Coordinates for the 3/2 Stochastic Volatility Model

ABSTRACT The 3/2 stochastic volatility model is a continuous positive process s with a correlated infinitesimal variance process . The exact definition is provided in the Introduction immediately below. By inspecting the geometry associated with this model, we discover an explicit smooth map from to the punctured plane for which the process satisfies an SDE of a simpler form, with independent Brownian motions and the identity matrix as diffusion coefficient. Moreover, is recoverable from the path by a map that depends only on the distance of from the origin and the winding angle around the origin of . We call the process together with its map to 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.

Authors

Institutions

Publication Details

Journal
Mathematical Finance
Published
2025-02-05
DOI
https://doi.org/10.1111/mafi.12455
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polar Coordinates for the 3/2 Stochastic Volatility Model

Paul Nekoranik
Mathematical Finance
Stochastic processes and financial applications
article

Polar Coordinates for the 3/2 Stochastic Volatility Model

Paul Nekoranik
article en

Abstract

ABSTRACT The 3/2 stochastic volatility model is a continuous positive process s with a correlated infinitesimal variance process . The exact definition is provided in the Introduction immediately below. By inspecting the geometry associated with this model, we discover an explicit smooth map from to the punctured plane for which the process satisfies an SDE of a simpler form, with independent Brownian motions and the identity matrix as diffusion coefficient. Moreover, is recoverable from the path by a map that depends only on the distance of from the origin and the winding angle around the origin of . We call the process together with its map to 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.

Mathematical FinanceVol. 35(3)
Morgan Stanley (United Kingdom) (GB)
Openalex Percentile: Top 97%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Polar Coordinates for the 3/2 Stochastic Volatility Model — Paul Nekoranik · Mathematical Finance (2025) | TGRS Research Map | TGRS