作者moove (...)
看板NCTU-STAT97G
標題[演講公告] 0515 統計所專題演講
時間Mon May 11 19:19:45 2009
題 目:Ranking Funds by Extracting Information from Multiple
Performance Measures
主講人:牛維方博士(鉅融資本管理公司投資長)
時 間:98年5月15日(星期五)上午10:40-11:30
(上午10:20-10:40茶會於交大統計所429室舉行)
地 點:交大綜合一館427室
Abstract
Performance measures play important roles in ranking funds and investment
decision. However, what's discrepant is that well-performed funds for a
specified period under specific measures will not necessarily deliver
satisfactory returns in the future. The key to the problem is just whether
these performance measures efficiently catch the major information required
in investment decisions or not.
This study tries to provide a framework for investigating the performances
of performance measures. It is found that some commonly used performance
measures indeed provide similar information contents, and making decisions
relying on these measures generally leads to a portfolio that is much more
volatile compared to diversifying to the fund pool. However, for a specially
designed set of measures that contains different aspects of information,
applying dimension reduction techniques may help extract the information
required for investment decisions.
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