A mean reverting process is a process that, over time, tends to drift toward its long-term mean.

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78 views

What is the effect of mean-reversion on an upper barrier knock-out call option?

Consider a mean-reverting normal model for an underlying $dX^{(1)}_t=-\kappa X^{(1)}_tdt+\sigma^{(1)} dW^{(1)}_t$, for fixed time-independent constants, $\kappa$ (mean-reversion) and $\sigma^{(1)}$ (...
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1answer
100 views

Mean Crossing for Ornstein-Uhlenbeck

Suppose we have classic Ornstein-Uhlenbeck process. How can we calculate expected number (and variance too) of crossing mean value over the certain period of time? Say, if we have discrete OU process ...
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1answer
106 views

How to estimate parameters for 2 correlated Ornstein-Uhlenbeck processes with maximum likelihood?

I would like to use maximum likelihood to estimate the parameters of two correlated Ornstein-Uhlenbeck processes from empirical data. Do you have any good references for this? If you have any hints as ...
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108 views

How to trade the Ornstein-Uhlenbeck process?

My question comes from this paper, which is a short version of Avellaneda's paper The picture bellow provides a summary of the equations. Do I understand correctly that in order to trade OU process ...
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0answers
23 views

How to optimize an arbitrage portfolio when taking into account different speeds of mean reversion?

In portfolio optimization, it is insufficient to just note the size of price deviation - that only tells the amount of profit if held to maturity. One also needs to take into account reversion speed - ...
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0answers
77 views

cointegration strategy

If it can be proved that two time series $$S_t^1=\alpha + \beta S_t^2 + \xi_t$$ representing stocks are correlated, with $\beta=-2$ and then are proved to be cointegrated, how a portfolio should be ...
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30 views

Quantitative Business Cycle Investing

Is there a major article or even better a comprehensive recent review article showing quantitative evidence for the existence of the business cycle and measuring the trending and mean reversion on ...
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0answers
37 views

Are there alternatives to the Box-Tiao decomposition in identifying mean reverting portfolios?

As documented in this paper, Box-Tiao decomposition (a way to decompose multiple time series into components with different speeds of mean reversion) can be used to identify mean reverting portfolios. ...
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434 views

Mean Reverting Spread

I have constructed a mean reverting spread using two indexes. I know they have to be mean reverting, but when plotted side by side they are mean reverting for a little bit and then deviate and head ...
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19 views

Variance Ratio on Currency Pair, Validation

Can somebody tell me if my variance ratio (unit root test) test is correct? I don't want to rely on my results until I can find somebody that also has a variance ratio algo that confirms them? Here is ...
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0answers
15 views

How to reduce variance of mean reversion estimator with maximum likelihood?

I estimate the parameters of an Ornstein-Uhlenbeck process with Maximum Likelihood. The mean reversion speed estimator is well known to be biased. There are methods to reduce the value of the expected ...
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0answers
26 views

How to fit model implied forward curve with market forward curve for Ornstein-Uhlebeck?

I have a spread option model of 2 correlated Ornstein-Uhlenbeck commodity prices that I estimate the parameters of with Maximum Likelihood. What is the formula for introducing the additional ...
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0answers
28 views

Mean reversion in seasonal ARIMA model

Hi I'm looking for some help deriving the half life from an ARIMA model. My current best model candidate is (1,1,0)x(1,0,0)[4] and I'm a little confused on this. I've read up on HL for AR(1) models ...
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0answers
29 views

Extracting mean reversion and incorporating into formula for general series

I'm looking to derive a general formula for margin reversion like Hussman has done in this article for some projections I'm doing. http://www.hussmanfunds.com/wmc/wmc100802.htm I'm not interested in ...
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152 views

Exact value of mean reversion rate knowing terminal value of the process

Let you have the following mean reverting process: $\text{d}x_{t}=a(\theta-x_{t})\text{d}t$, where the diffusion term is absent, that is this process is not stochastic. Let you know the value of $\...