Decoding Hagan's arbitrage free SABR PDE derivation

Here are the main steps of Hagan derivation. Let's recall his notation for the SABR model where typically, $C(F) = F^\beta$

First, he defines the moments of stochastic volatility:

Then he integrates the Fokker-Planck equation over all A, to obtain

On the backward Komolgorov equation, he applies a Lamperti transform like change of variable:

And then makes another change of variable so that the PDE has the same initial conditions for all moments:

 This leads to

It turns out that there is a magical symmetry for k=0 and k=2.

Note that in the second equation, the second derivative applies to the whole.
Because of this, he can express $Q^{(2)}$ in terms of $Q^{(0)}$:

And he plugs that back to the integrated Fokker-Planck equation to obtain the arbitrage free SABR PDE:

There is a simple more common explanation in the world of local stochastic volatility for what's going on. For example, in the particle method paper from Guyon-Labordère, we have the following expression for the true local volatility.

In the first equation, the numerator is simply $Q^{(2)}$ and the denominator $Q^{(0)}$. Of course, the integrated Fokker-Planck equation can be rewritten as:

$$Q^{(0)}_T = \frac{1}{2}\epsilon^2  \left[C^2(F) \frac{Q^{(2)}}{Q^{(0)}} Q^{(0)}\right]_{FF}$$

Karlsmark uses that approach directly in his thesis, using the expansions of Doust for $Q^{(k)}$. Looking a Doust expansions, the fraction reduces straightforwardly to the same expression as Hagan, and the symmetry in the equations appears a bit less coincidental.

Decoding Hagan's arbitrage free SABR PDE derivation

Here are the main steps of Hagan derivation. Let's recall his notation for the SABR model where typically, $C(F) = F^\beta$

First, he defines the moments of stochastic volatility:

Then he integrates the Fokker-Planck equation over all A, to obtain

On the backward Komolgorov equation, he applies a Lamperti transform like change of variable:

And then makes another change of variable so that the PDE has the same initial conditions for all moments:

 This leads to

It turns out that there is a magical symmetry for k=0 and k=2.

Note that in the second equation, the second derivative applies to the whole.
Because of this, he can express $Q^{(2)}$ in terms of $Q^{(0)}$:

And he plugs that back to the integrated Fokker-Planck equation to obtain the arbitrage free SABR PDE:

There is a simple more common explanation in the world of local stochastic volatility for what's going on. For example, in the particle method paper from Guyon-Labordère, we have the following expression for the true local volatility.

In the first equation, the numerator is simply $Q^{(2)}$ and the denominator $Q^{(0)}$. Of course, the integrated Fokker-Planck equation can be rewritten as:

$$Q^{(0)}_T = \frac{1}{2}\epsilon^2  \left[C^2(F) \frac{Q^{(2)}}{Q^{(0)}} Q^{(0)}\right]_{FF}$$

Karlsmark uses that approach directly in his thesis, using the expansions of Doust for $Q^{(k)}$. Looking a Doust expansions, the fraction reduces straightforwardly to the same expression as Hagan, and the symmetry in the equations appears a bit less coincidental.