Stock Price Distributions with Stochastic Volatility: An Analytic Approach
Review of Financial Studies
1991
We study the stock price distributions that arise when prices follow a diffusion process with a stochastically varying volatility parameter. We use analytic techniques to derive an explicit closed-form solution for the case where volatility is driven by an arithmetic Ornstein–Uhlenbeck (or AR1) process. We then apply our results to two related problems in the finance literature: (i) options pricing in a world of stochastic volatility, and (ii) the relationship between stochastic volatility and the nature of “fat tails” in stock price distributions.
- DOI
- 10.1093/rfs/4.4.727
- Volume
- 4 (4)
- Pages
- 727-752
- Language
- en
- Export
- BibTeX
- Sources
- openalex crossref