Heston Operator, Dirichlet Boundaries, and Perpetual Option Values
Summary
The document connects the elliptic form of the Heston stochastic volatility operator to a boundary value problem with Dirichlet conditions. It explains that solutions to obstacle problems for this operator can represent value functions for perpetual American-style options. The operator models stochastic variance with a diffusion term that becomes degenerate near the boundary where variance reaches zero, which shapes the mathematical treatment of the problem.
The discussion presents perpetual options as a narrow practical application rather than a common traded strategy. It notes that perpetual convertible preferred securities are among the few examples, but suggests their pricing may be driven more by credit, dividends, and changes in corporate structure than by stochastic volatility in the underlying share. The text offers conceptual context rather than a derivation, implementation procedure, or empirical pricing evidence. Its examples are limited, and the claims about practical usage are based on the respondents' experience rather than a broad market survey.
Key ideas
- The elliptic Heston operator describes asset and variance dynamics with a degeneracy near the zero-variance boundary.
- Dirichlet boundary conditions specify the value of a solution along the boundary of the pricing domain.
- Obstacle problem solutions for the operator can represent values of perpetual American-style options.
- Perpetual convertible preferred securities are cited as rare practical examples of perpetual options.
- For such securities, issuer actions and capital structure changes may matter more than stochastic volatility modeling.
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Full text
# What is Heston's equation?
# What is Heston's equation?
This paper mentions the elliptic Heston operator:
$Av:= -\frac y2(v_{xx}+2\rho\sigma v_{xy} + \sigma^2v_{yy}) - (c_0 - q - \frac y2)v_x + \kappa(\theta -y)v_y + c_0v$.
Then boundary value problem are discussed:
$Au=f \text{ on } \Omega \\ u = g \text{ on } \partial\Omega$
I would like to know how people use such Dirichlet conditions in mathematical finance.
## Answer by chrisaycock (score 6)
https://quant.stackexchange.com/a/4398
From this abstract:
> The Heston stochastic volatility process is a degenerate diffusion process where the degeneracy in the diffusion coefficient is proportional to the square root of the distance to the boundary of the half-plane. The generator of this process with killing, called the elliptic Heston operator, is a second-order, degenerate-elliptic partial differential operator, where the degeneracy in the operator symbol is proportional to the distance to the boundary of the half-plane. In mathematical finance, solutions to obstacle problem for the elliptic Heston operator correspond to value functions for perpetual American-style options on the underlying asset.
A simple Google search shows that there are only a handful of academics who even use this term. Your best bet may be to contact one of them directly for support. (They are unlikely to entertain a broad "what do I use this for" question, however.)
## Answer by Brian B (score 5)
https://quant.stackexchange.com/a/4401
Expanding a bit on chrisaycock's answer, and noting in particular from the abstract
> In mathematical finance, solutions to obstacle problem for the elliptic Heston operator correspond to value functions for perpetual American-style options on the underlying asset.
we can see that this would be used to price those few rare cases of perpetual options.
The only traded examples I know of are perpetual convertible preferred securities, for example from Wells Fargo's offerings. Such securities are lightly traded by the market players and therefore not always analyzed using the full machinery of a stochastic vol model, even if they should be in principle.
In practice, these "perps" are so bond-like that it is often more useful to think of them as fixed-income instruments. The main concern with them is that the issuer will stop paying the dividends or change capital structure, so it is a bit ridiculous to spend one's time on a fancy stochastic vol model when all the interesting stochastic events have to do with unrelated variables such as alterations in capital structure.Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.