The out-of-sample performance of carry trades

被引:0
|
作者
Hsu, Po-Hsuan [1 ]
Taylor, Mark P. [2 ]
Wang, Zigan [3 ]
Li, Yan [4 ]
机构
[1] Natl Tsing Hua Univ, Hsinchu, Taiwan
[2] Washington Univ, St Louis, MO 63130 USA
[3] Tsinghua Univ, Tsinghua, Peoples R China
[4] Univ Hong Kong, Hong Kong, Peoples R China
关键词
Foreign exchange; Trading rules; Carry trade; Data-snooping bias; FOREIGN-EXCHANGE MARKET; TRADING-RULE PROFITS; CURRENCY RISK; CROSS-SECTION; RETURNS; HYPOTHESIS; ARBITRAGE; GROWTH; PREMIA; PUZZLE;
D O I
10.1016/j.jimonfin.2024.103042
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We carry out a large-scale investigation of the reliability of the profitability of carry trade strategies, using foreign exchange data for 48 countries over 36 years, employing reality check, superior predictive ability test, and stepwise tests to correct for data -snooping bias (the factor of luck in model selection). Carry trade strategies chosen as profitable in one period are generally not profitable in an ensuing out -of -sample sample period, especially after correcting for data -snooping and even after allowing for learning and stop -loss strategies. Any evidence of consistency in carry trade profitability that is found is concentrated in a relatively brief historical period, 1998-2005. We further investigate particular currency pairs that may drive the out -of -sample profitability during this period, and find their performance to be unstable in general. Our findings thus highlight the instability and the importance of chance or luck in generating profits from carry trades.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] Out-of-sample extrapolation of learned manifolds
    Chin, Tat-Jun
    Suter, David
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008, 30 (09) : 1547 - 1556
  • [22] Out-of-Sample Fusion in Risk Prediction
    Katzoff, Myron
    Zhou, Wen
    Khan, Diba
    Lu, Guanhua
    Kedem, Benjamin
    JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2014, 8 (03) : 444 - 459
  • [23] Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios
    Takeda A.
    Niranjan M.
    Gotoh J.
    Kawahara Y.
    Computational Management Science, 2013, 10 (1) : 21 - 49
  • [24] Mathematical analysis on out-of-sample extensions
    Wang, Jianzhong
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018, 16 (05)
  • [25] Forecasting in the presence of in-sample and out-of-sample breaks
    Xu, Jiawen
    Perron, Pierre
    EMPIRICAL ECONOMICS, 2023, 64 (06) : 3001 - 3035
  • [26] Out-of-Sample Fusion in Risk Prediction
    Myron Katzoff
    Wen Zhou
    Diba Khan
    Guanhua Lu
    Benjamin Kedem
    Journal of Statistical Theory and Practice, 2014, 8 (3) : 444 - 459
  • [27] Out-of-Sample Embedding by Sparse Representation
    Raducanu, Bogdan
    Dornaika, Fadi
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 2012, 7626 : 336 - 344
  • [28] Out-of-sample embedding by sparse representation
    Raducanu, Bogdan
    Dornaika, Fadi
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7626 LNCS : 336 - 344
  • [29] Out-of-sample performance of bias-corrected estimators for diffusion processes
    Guo, Zi-Yi
    JOURNAL OF FORECASTING, 2021, 40 (02) : 243 - 268
  • [30] In-Sample and Out-of-Sample Predictability of Cryptocurrency Returns
    Park, Kyungjin
    Lee, Hojin
    EAST ASIAN ECONOMIC REVIEW, 2023, 27 (03) : 213 - 242