DocumentCode :
3414176
Title :
The maximum drawdown of the Brownian motion
Author :
Magdon-Ismail, Malik ; Atiya, Amir ; Pratap, Amrit ; Abu-Mostafa, Yaser
Author_Institution :
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
2003
fDate :
20-23 March 2003
Firstpage :
243
Lastpage :
247
Abstract :
The MDD is defined as the maximum loss incurred from peak to bottom during a specified period of time. It is often preferred over some of the other risk measures because of the tight relationship between large drawdowns and fund redemptions. Also, a large drawdown can even indicate the start of a deterioration of an otherwise successful trading system, for example due to a market regime switch. Overall, the MDD is a very important risk measure. To be able to use it more insightfully, its analytical properties have to be understood. As a step towards this direction, we have presented in this article some analytic results that we have developed. We hope more and more results will come out from the research community analyzing this important measure.
Keywords :
Brownian motion; econophysics; Brownian motion; equity curve; fund redemptions; hedge funds; market regime switch; maximum drawdown; money managers; risk measure; trading system; Brownian motion; Computer crashes; Computer science; Financial management; Loss measurement; Performance loss; Portfolios; Risk management; Standards development; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7654-4
Type :
conf
DOI :
10.1109/CIFER.2003.1196267
Filename :
1196267
Link To Document :
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