Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds

碩士 === 國立中興大學 === 統計學研究所 === 99 === In this article, we will examine the performance of monthly returns of the Commodity Trading Advisors Funds. The data is from the database of the Hedge Fund Research and the sample period is from Jul 1994 to Jun 2010. We apply k-familywise error rate (Romano et al...

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Main Authors: Jia-Yang Hong, 洪嘉陽
Other Authors: 許英麟
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/37n5r7
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spelling ndltd-TW-099NCHU53370052018-04-10T17:21:05Z http://ndltd.ncl.edu.tw/handle/37n5r7 Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds 修正一般化族系誤差率於逐步真實性檢定改進其檢定效力:實證於商品交易顧問型基金 Jia-Yang Hong 洪嘉陽 碩士 國立中興大學 統計學研究所 99 In this article, we will examine the performance of monthly returns of the Commodity Trading Advisors Funds. The data is from the database of the Hedge Fund Research and the sample period is from Jul 1994 to Jun 2010. We apply k-familywise error rate (Romano et al., 2008) on stepwise reality check (Romano and Wolf, 2005) and stepwise superior predict ability test (Hsu et al., 2010) to examine the performances. In the procedure, three different factors models are used as benchmark models. Lastly, compare the test power and the performance between stepwise reality check and stepwise superior predict ability test by k-familywise error rate. 許英麟 2011 學位論文 ; thesis 46 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中興大學 === 統計學研究所 === 99 === In this article, we will examine the performance of monthly returns of the Commodity Trading Advisors Funds. The data is from the database of the Hedge Fund Research and the sample period is from Jul 1994 to Jun 2010. We apply k-familywise error rate (Romano et al., 2008) on stepwise reality check (Romano and Wolf, 2005) and stepwise superior predict ability test (Hsu et al., 2010) to examine the performances. In the procedure, three different factors models are used as benchmark models. Lastly, compare the test power and the performance between stepwise reality check and stepwise superior predict ability test by k-familywise error rate.
author2 許英麟
author_facet 許英麟
Jia-Yang Hong
洪嘉陽
author Jia-Yang Hong
洪嘉陽
spellingShingle Jia-Yang Hong
洪嘉陽
Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
author_sort Jia-Yang Hong
title Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
title_short Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
title_full Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
title_fullStr Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
title_full_unstemmed Recentering the K-max Stepwise Reality Check to Improve on its Test Power: An Empirical Study of Commodity Trading Advisors Funds
title_sort recentering the k-max stepwise reality check to improve on its test power: an empirical study of commodity trading advisors funds
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/37n5r7
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