Assume that we want to shell an asset with unknown drift but known that the drift is a two value random variable, and the initial distribution can be estimated. As time goes by, this distribution is updated and base on the probability of the drift takes the small one gives us the stopping rule. Research results show that the optimal strategy to sell the asset is if the initial probability that the drift receives a small value greater than a certain threshold then liquidates the asset immediately, otherwise the asset holder will wait until the probability of the drift receives a small value passing a certain threshold, it is the optimal time to liquidate the asset.
References
[1]
Peskir, G. and Shiryaev, A.N. (2006) Optimal Stopping and Free-Boundary Problems (Lectures in Mathematics ETH Zürich). Birkhäuser, Basel.
[2]
Shiryaev, A.N., Xu, Z. and Zhou, X.Y. (2008) Thou Shalt Buy and Hold. Quantitative Finance, 8, 765-776. https://doi.org/10.1080/14697680802563732
[3]
Lipster, R.S. and Shiryaev, A.N. (2001) Statistics of Random Process: I. General Theory. Springer-Verlag, Berlin, Heidelberg.
Khanh, P. (2012) Optimal Stopping Time for Holding an Asset. American Journal of Operations Research, 2, 527-535. https://doi.org/10.4236/ajor.2012.24062
[6]
Khanh, P. (2014) Optimal Stopping Time to Buy an Asset When Growth Rate Is a Two-State Markov Chain. American Journal of Operations Research, 4, 132-141.
https://doi.org/10.4236/ajor.2014.43013
[7]
Van Khanh, P. (2015) When to Sell an Asset Where Its Drift Drops from a High Value to a Smaller One. American Journal of Operations Research, 5, 514-525.
https://doi.org/10.4236/ajor.2015.56040