Small sample analysis of performance measures in the asymmetric response model

被引:4
|
作者
Pedersen, CS
Satchell, SE
机构
[1] Univ Cambridge, Dept Appl Econ, Financial Econometr Project, Cambridge CB3 9DD, England
[2] Univ Cambridge, Fac Econ & Polit, Cambridge CB3 9DD, England
[3] Wyman & Co, New York, NY USA
关键词
D O I
10.2307/2676212
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper reviews and extends definitions and properties of the three classical performance statistics (the Sharpe Ratio, the Treynor Index, and Jensen's Alpha) by locating them in a more general framework: the Asymmetric Response Model. This allows various notions of beta, which can be related to downside risk, to be employed, and includes, as special cases, a market timing model and the mean-variance CAPM. Due to the general lack of data on fund performance in practice, our emphasis is on small sample analysis where possible. We illustrate our results empirically using data on 15 U.S.-based emerging markets investment funds.
引用
收藏
页码:425 / 450
页数:26
相关论文
共 50 条
  • [21] Model selection for small sample regression
    Chapelle, O
    Vapnik, V
    Bengio, Y
    MACHINE LEARNING, 2002, 48 (1-3) : 9 - 23
  • [22] Model Selection for Small Sample Regression
    Olivier Chapelle
    Vladimir Vapnik
    Yoshua Bengio
    Machine Learning, 2002, 48 : 9 - 23
  • [23] Improved Performance of Model Fit Indices with Small Sample Sizes in Cognitive Diagnostic Models
    Tzou, Hueying
    Yang, Ya-Huei
    INTERNATIONAL JOURNAL OF ASSESSMENT TOOLS IN EDUCATION, 2019, 6 (01): : 154 - 169
  • [24] Clinical Performance Measures Are Frustrating In Response
    Hay, William
    FAMILY MEDICINE, 2008, 40 (10) : 690 - 690
  • [25] Filtering and model-based analysis independently improve skin-conductance response measures in the fMRI environment: Validation in a sample of women with PTSD
    Privratsky, Anthony A.
    Bush, Keith A.
    Bach, Dominik R.
    Hahn, Emily M.
    Cisler, Josh M.
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2020, 158 : 86 - 95
  • [26] Small sample discrimination and professional performance assessment
    Aguado, D
    Dorronsoro, JR
    Lucía, B
    Cruz, CS
    ENGINEERING APPLICATIONS OF BIO-INSPIRED ARTIFICIAL NEURAL NETWORKS, VOL II, 1999, 1607 : 558 - 566
  • [27] Reliability analysis using bootstrap information criterion for small sample size response functions
    Eshan Amalnerkar
    Tae Hee Lee
    Woochul Lim
    Structural and Multidisciplinary Optimization, 2020, 62 : 2901 - 2913
  • [28] Small Sample Size Performance of the Energy Detector
    Rugini, Luca
    Banelli, Paolo
    Leus, Geert
    IEEE COMMUNICATIONS LETTERS, 2013, 17 (09) : 1814 - 1817
  • [29] Reliability analysis using bootstrap information criterion for small sample size response functions
    Amalnerkar, Eshan
    Lee, Tae Hee
    Lim, Woochul
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (06) : 2901 - 2913
  • [30] OVERESTIMATION OF TEST-PERFORMANCE BY ROC ANALYSIS - EFFECT OF SMALL SAMPLE-SIZE
    SEELEY, GW
    BORGSTROM, MC
    PATTON, DD
    MYERS, KJ
    BARRETT, HH
    JOURNAL OF NUCLEAR MEDICINE, 1984, 25 (05) : P107 - P107