The commodity futures' historical basis in trading strategy and portfolio investment

2021 ◽  
pp. 105780
Author(s):  
Yingjian Pu ◽  
Baochen Yang
2020 ◽  
Vol 12 (4) ◽  
pp. 375-409 ◽  
Author(s):  
Hanxiong Zhang ◽  
Andrew Urquhart

PurposeMotivated by the debate on the patterns and sources of commodity futures returns, this paper investigates the performance of three investment trading strategies, namely, the momentum strategy of Jegadeesh and Titman (1993), the 52-week high momentum strategy of George and Hwang (2004) and the pairs trading strategy of Gatev et al. (2006) in the commodity futures market.Design/methodology/approachThe three strategies are those given by Jegadeesh and Titman (1993), George and Hwang (2004) and Gatev et al. (2006), respectively.FindingsThe authors find that there is no significant reversal profit across 189 formation-holding windows for all the three strategies. However, there are statistical and economically significant momentum profits, and the profitability increases with the rising of formation-holding periods. Momentum returns are quite sensitive to market conditions but the crash of momentum returns is partly predictable. Return seasonality, risk and herding also provide partial explanation of the momentum profits.Originality/valueThe authors are the first to compare the performances of the pairs trading strategy of Gatev et al. (2006), the conventional momentum of Jegadeesh and Titman (1993), and the 52-week high momentum of George and Hwang (2004) under 189 formation-holding windows. Also, the authors are the first to investigate the association between herding behaviour and momentum returns in the commodity futures market.


2004 ◽  
Vol 8 (4) ◽  
pp. 3-17
Author(s):  
Kwai-ming Mak ◽  
Yan-leung Cheung ◽  
Chris K. C. Ng

2014 ◽  
Vol 21 ◽  
pp. 183-200 ◽  
Author(s):  
Shawkat Hammoudeh ◽  
Duc Khuong Nguyen ◽  
Juan Carlos Reboredo ◽  
Xiaoqian Wen

CFA Digest ◽  
2001 ◽  
Vol 31 (1) ◽  
pp. 63-64
Author(s):  
Charles F. Peake
Keyword(s):  

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Ainhoa Fernández-Pérez ◽  
María de las Nieves López-García ◽  
José Pedro Ramos Requena

In this paper we present a non-conventional statistical arbitrage technique based in varying the number of standard deviations used to carry the trading strategy. We will show how values of 1 and 1,2 in the standard deviation provide better results that the classic strategy of Gatev et al (2006). An empirical application is performance using data of the FST100 index during the period 2010 to June 2019.


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