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  • af James Simons
    265,95 kr.

    This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

  • af James Simons, Jonathan Mayers & Chairman Henry Waxman
    138,95 kr.

    James Simons, Medallion Hedge Fund and Renaissance Technologies, president testifies about the risks that hedge funds pose in the financial markets, before the House Oversight Committee, and HEARING BEFORE THE SENATE PERMANENT SUBCOMMITTEE ON INVESTIGATIONS by Jonathan Mayers, Counsel on Behalf of Renaissance Technologies LLC...The most successful hedge fund in history describe their business model as a positive expected value game.  The model developed by Renaissance for Medallion and Medallion with barrier options  makes predictions that are profitable only slightly more often than not. Moreover, the predicted price movements can be easily overwhelmed by external events. To compensate for these factors, the model generates a large number of recommendations, so that by virtue of the mathematical principle known as the law of large numbers, the variability of the returns produced by the model is greatly reduced.  

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