Arbeitspapier

Long-short speculator sentiment in agricultural commodity markets

This paper tests the hypothesis that long-short speculators are able to generate short-term investment returns based on their sentiment for twelve agricultural commodity futures. For this purpose, we dynamically model the equidirectional trading of long and short commodity futures of long-short speculators as a proxy for their market sentiment. We find evidence that the sentiment period returns are considerably positive and differ significantly from neutral sentiment periods for all commodities which underlines the sentiment's relevance. In line with the empirical literature, we can reject the argument of price manipulation as the price continues to develop into the direction of the sentiment period although long-short speculators trade non-directionally in the following. We rather indicate the existence of a short-term time-series momentum effect, which can be robustly identified without the requirement to define an external model parameter. From the superior sentiment-based momentum returns, we conclude that long-short speculators have valuable, exclusive information, which cannot be replicated by observing their trading activity with a time lag of eight trading days. We also find that a sentiment-based momentum strategy generates significantly higher returns than the long-short speculators have realized in the fifteen-year sample period which we attribute to the complexity of the long-short speculators' investment strategies.

Language
Englisch

Bibliographic citation
Series: Chemnitz Economic Papers ; No. 055

Classification
Wirtschaft
Portfolio Choice; Investment Decisions
Information and Market Efficiency; Event Studies; Insider Trading
International Financial Markets
Methodological Issues: General
Subject
commodities
time-series momentum
sentiment
long-short speculators
commitment of traders
price manipulation

Event
Geistige Schöpfung
(who)
Borgards, Oliver
Czudaj, Robert L.
Event
Veröffentlichung
(who)
Chemnitz University of Technology, Faculty of Economics and Business Administration
(where)
Chemnitz
(when)
2022

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Borgards, Oliver
  • Czudaj, Robert L.
  • Chemnitz University of Technology, Faculty of Economics and Business Administration

Time of origin

  • 2022

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