Stopping Brownian Motion Without Anticipation as Close as Possible to Its Ultimate Maximum
By S. Graversen, Goran Peskir, Albert N. Shiryaev. 2001
103 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/1bff961f54d52c1ca2d1510abb1b93518db30b24
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Jacques Du Toit
- Goran Peskir
- J. L. Pedersen
- Albert N. Shiryaev
- Zuoquan Xu¶
- Xun Yu Zhou
- Pavel V. Gapeev
- Nathalie Eisenbaum
In Management Science and Operations Research
- J. L. Pedersen
- Jacques Du Toit
- Goran Peskir
- Xun Yu Zhou
- Peter A. Forsyth
- Elena Vigna
- Huyen Pham
- Ben M. Hambly
Citations in the corpus
- Optimal prediction of the ultimate maximum of Brownian motion (2003, methodology): “The expectation and variance of τ∗ are also calculated in [3] by a different method.”
- The trap of complacency in predicting the maximum. (2007, methodology): “If „ = 0 then there is a closed form expression for b1 . This problem was solved in [ 6 ] using the method of time change (i.e.”
- Thou shalt buy and hold (2008, background): “( 2001 ), which appears to be the first paper of its kind where the problem is to stop a Brownian motion so as to minimize the squared error from the maximum.”
- Selling a Stock at the Ultimate Maximum (2009, unknown): “By Jacques du Toit and Goran Peskir”