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The Journal of Financial Data Science

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The Cross Section of Commodity Returns: A Nonparametric Approach

Clemens Struck and Enoch Cheng
The Journal of Financial Data Science Summer 2020, 2 (3) 86-103; DOI: https://doi.org/10.3905/jfds.2020.1.034
Clemens Struck
is an assistant professor in the School of Economics at University College Dublin in Dublin, Ireland, and head of machine learning at PicardAngstAG in Switzerland;
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Enoch Cheng
is an assistant professor in the Department of Economics at the University of Colorado in Denver, CO
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Abstract

To what extent are financial market returns predictable? Standard approaches to asset pricing make strong parametric assumptions that undermine their return-predicting ability. The authors employ tree-based methods to overcome these limitations and attempt to approximate an upper bound for the predictability of returns in commodities futures markets. Out of sample, they find that up to 3.74% of 1-month returns are predictable—more than a 10-fold increase from standard approaches. The findings hint at the importance multiway interactions and nonlinearities acquire in the data; they imply that new factors should be tested on their ability to add explanatory power to an ensemble of existing factors.

TOPICS: Futures and forward contracts, commodities

Key Findings

  • • Standard approaches to asset pricing make strong parametric assumptions that undermine their return-predicting ability.

  • • The authors employ tree-based methods to overcome these limitations and estimate the predictability of returns in commodities futures markets.

  • • Out of sample, they find that up to 3.74% of 1-month returns are predictable—more than a 10-fold increase from standard approaches.

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The Journal of Financial Data Science: 2 (3)
The Journal of Financial Data Science
Vol. 2, Issue 3
Summer 2020
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The Cross Section of Commodity Returns: A Nonparametric Approach
Clemens Struck, Enoch Cheng
The Journal of Financial Data Science Jul 2020, 2 (3) 86-103; DOI: 10.3905/jfds.2020.1.034

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The Cross Section of Commodity Returns: A Nonparametric Approach
Clemens Struck, Enoch Cheng
The Journal of Financial Data Science Jul 2020, 2 (3) 86-103; DOI: 10.3905/jfds.2020.1.034
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