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Heston Put-Call Symmetry Through a Stock-Measure Transformation

Article Quant Q&A · Author: NamelessGods

Summary

The document explains a put-call symmetry relation in the Heston stochastic volatility model. A put on the underlying can be represented as a call on the reciprocal-scaled underlying, with the spot and strike exchanged and rates and dividend yield swapped. The derivation rewrites the discounted put payoff as an expectation under a stock measure, then applies Itô's lemma to the transformed price process and Girsanov's theorem to change measures.

Under the transformed dynamics, the volatility process remains square-root diffusion, but its mean-reversion speed becomes the original speed adjusted by the correlation-volatility product, and its long-run variance is rescaled so their product is preserved. The asset-volatility correlation changes sign in the reparameterized option relation. The argument gives a mathematical interpretation of the parameter changes rather than a separate empirical result; it relies on the stated model and measure transformation, and does not discuss parameter admissibility or numerical implementation.

Key ideas

  • The put-call relation follows by transforming the underlying into a reciprocal-scaled price and exchanging spot and strike.
  • Changing to the stock measure converts the transformed payoff into a call valuation expectation.
  • The volatility mean-reversion speed shifts by the correlation-volatility product under the measure change.
  • The long-run variance changes to preserve the mean-reversion speed and long-run variance product.
  • The transformed option relation reverses the sign of asset-volatility correlation.

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# Interpretation and intuition behind the Put-Call symmetry under the Heston Model


# Interpretation and intuition behind the Put-Call symmetry under the Heston Model












I am currently working on a report regarding the put-call symmetry relations under the Heston model. I did all the math and managed to prove the relations using PDE approach. However, I wish to have a more intuitive interpretation of the derived relations.

Specifically, suppose a call option (European or American) with strike price $K$ and spot price $S_0$ is priced under the Heston dynamics with initial variance $V_0$:

$$ dS_t = (r-q)S_tdt+ \sqrt{v_t}S_tdW_t^1, $$

$$ dv_t = \kappa(\theta - v_t)dt + \sigma\sqrt{v_t}dW_t^2, $$

$$ \rho dt = dW_t^1dW_t^2, $$ its value will equal to the put option with strike price $S_0$ and spot price $K$ priced under the Heston dynamics with the following parameters:

$$ r_p = q, $$ $$ q_p = r, $$ $$ \kappa_p = \kappa-\rho\sigma, $$ $$ \theta_p = \frac{\kappa\theta}{\kappa-\rho\sigma}, $$ $$ V_{0,p} = V_0, $$ $$ \sigma_p = \sigma, $$ $$ \rho_p = -\rho. $$

My main question is: what is the interpretation or intuition of $$ \kappa_p = \kappa-\rho\sigma, $$ $$ \theta_p = \frac{\kappa\theta}{\kappa-\rho\sigma}, $$ and $$ \rho_p = -\rho. $$ Does anyone have an explanation for the changes in theses three parameters? What are the physical and financial implications? Thanks!

## Answer by Antoine Conze (score 7, accepted)

https://quant.stackexchange.com/a/39159

This is a consequence of transforming a Put on $S_T$ with strike $K$ into a Call on $(K S_0)/S_T$ with strike $S_0$ under the stock measure. The new set of parameters $r_p$, $q_p$, $\kappa_p$, ... etc . are those that correspond to the Heston dynamics for the process $((K S_0)/S_t, v_t)$ under the stock measure.

General results on that kind of symmetry can be found in various papers for instance Peter Carr and Roger Lee, Put Call Symmetry: Extensions and Application (2007) http://math.uchicago.edu/~rogerlee/PCSR22.pdf.

In the Heston case you are looking at, start from the Put price as discounted expectation under the risk neutral measure $P$: $$ p = e^{-rT} E^P\left[(K - S_T)^+ \right] $$ Next rewrite it as $$ p = e^{-qT} E^P\left[\frac{e^{(q-r)T} S_T}{S_0} \left(\frac{K S_0}{S_T} - S_0\right)^+ \right]=e^{-qT} E^Q\left[\left(\frac{K S_0}{S_T} - S_0\right)^+ \right] $$ where $Q$ is the stock measure defined by the Radon Nikodym derivative $$ \frac{dQ}{dP} =\frac{e^{(q-r)T} S_T}{S_0} $$ Now apply Ito's Lemma to $X_t=\frac{K S_0}{S_t}$: $$ \frac{dX_t}{X_t}=-(r-q)dt - \sqrt{v_t} dW^1_t+ v_t dt $$ and finally apply Girsanov theorem to obtain the dynamics of $X_t$ and $v_t$ under $Q$: $$ \frac{dX_t}{X_t}=-(r-q)dt - \sqrt{v_t} dW'^1_t+v_t dt - v_t dt=-(r-q)dt + \sqrt{v_t} (-dW'^1_t) \\ d v_t = \kappa (\theta - v_t)dt + \sigma \sqrt{v_t} dW'^2_t+ \rho \sigma v_t dt = (\kappa-\rho \sigma ) \left(\frac{\kappa \theta}{\kappa-\rho \sigma } - v_t \right)dt + \sigma \sqrt{v_t} dW'^2_t$$ with $W'^1$ and $W'^2$ standard Brownian motions under $Q$ with correlation $\rho$, so that you are now pricing a call under new Heston parameters $r_p$, $q_p$, $\kappa_p$, ... etc. defined as in your post.

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.