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Geometric Brownian Motion and Long-Run Exchange Rate Behavior

Article Quant Q&A · Author: user60304

Summary

The discussion considers why an exchange rate might be modeled with geometric Brownian motion, a process whose proportional changes have a drift and a volatility term. With constant coefficients, its solution is an exponential of a drift-adjusted time component and a Brownian shock. The exchange rate’s long-run tendency depends on the drift after accounting for the volatility adjustment: a positive value implies almost-sure growth toward infinity, while a zero value does not imply convergence to a fixed level.

The answer also describes an alternative specification in which volatility varies inversely with the exchange rate and the drift is zero, producing arithmetic Brownian motion with zero mean. These are mathematical illustrations, not empirical evidence that either process fits foreign exchange markets. The exchange in particular notes that GBM may be odd over long horizons. It does not explain how to estimate parameters, compare models against data, or handle redenominations and changing monetary regimes.

Key ideas

  • Geometric Brownian motion models proportional exchange-rate changes using drift and volatility.
  • For constant parameters, the long-run direction depends on drift adjusted for volatility.
  • A zero adjusted drift does not make the exchange rate converge to a fixed value.
  • An inverse level-dependent volatility specification can yield arithmetic Brownian motion.
  • The discussion gives model implications but no empirical test or parameter-selection method.

Tags

Full text
# Why would exchange rates follow a geometric brownian motion?


# Why would exchange rates follow a geometric brownian motion?












I'm reading Shreve's Stochastic Calculus for Finance.

On page 382, he begins talking about exchange rates:

> Finally, there is an exchange rate $Q(t)$, which gives units of domestic currency per unit of foreign currency. We assume this satisfies $$\mathrm{d}Q(t) = \gamma(t)Q(t)\mathrm{d}t + \sigma_2(t)Q(t)\Big[\rho(t)\mathrm{d}W_1(u) + \sqrt{1-\rho^2(t)} \mathrm{d}W_2(t) \Big]\text{.}\tag{9.3.2} $$ We define $$ W_3(t) = \int_0^t \rho(u) \mathrm{d}W_1(u) + \int_0^t \sqrt{1-\rho^2(t)} \mathrm{d}W_2(t)\text{.}\tag{9.3.3}$$ By Lévy's Theorem, Theorem 4.6.4, $W_3(t)$ is a Brownian motion under $\mathbb{P}$. We may rewrite (9.3.2) as $$\mathrm{d}Q(t) = \gamma(t)Q(t)\mathrm{d}t + \sigma_2(t)Q(t) \mathrm{d}W_3(t)\text{,}\tag{9.3.4}$$ from which we see that $Q(t)$ has volatility $\sigma_2(t)$.

Why would it make sense to model exchange rates as in (9.3.4)? Why would exchange rates be compounding? Wouldn't that result in every increasing (or decreasing) exchange rates?

If $\gamma(t)$ is chosen to prevent that, how are we meant to choose $\gamma(t)$?

## Answer by fes (score 2)

https://quant.stackexchange.com/a/69068

You are right that for long horizons this may be a strange model for FX dynamics. However, it doesn't always result in the FX rate tending to zero or infinity. For constant parameters the GBM has the well known solution.

$$Q(t)=Q(0)\exp\left((\gamma-\frac{1}{2}\sigma^2)t+\sigma W_{3}(t)\right)$$

For example if $$\gamma-\frac{1}{2}\sigma^2>0$$

the rate tends to infinity almost surely. But if you set $\gamma-\frac{1}{2}\sigma^2=0$ is does not tend to anything.

If we allow the coefficients to depend on $Q$, we can also set $\gamma(t)=0$ and $\sigma(t)=\sigma \frac{1}{Q(t)}$. This gives the zero mean arithmetic Brownian motion which also does not tend to anything:

$$\frac{dQ(t)}{Q(t)}=\sigma dW_3(t)$$

## Answer by jdaw1 (score 0)

https://quant.stackexchange.com/a/69071

Whichever distribution is chosen, is must be able to cope with the Argentine peso, which has had multiple redenominations. Wikipedia: “After the various changes of currency and dropping of zeros, one peso convertible was equivalent to 10 trillion pesos moneda nacional.”

Whichever distribution is chosen, is must be able to cope with the US dollar, which has gone from being worth a handful of pesos moneda nacional to being worth about a quadrillion.

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.