2019
DOI: 10.1093/ajae/aaz024
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Estimating the Impact of Financial Investments on Agricultural Futures Prices using Changes in Volatility

Abstract: This paper studies the impact of financial investments on agricultural futures prices, using structural vector autoregressions. We identify exogenous variation in net long positions of speculators through heteroskedasticity. We first show that demand shocks of both index investors and noncommercial traders lead to a statistically significant contemporaneous increase in futures prices. We then quantify the economic importance of these shocks. Our findings suggest a negligible contribution of index investors’ de… Show more

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Cited by 9 publications
(12 citation statements)
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“…The effects on volatility in all three commodities are most pronounced in the VIX, which means that volatility in equity markets is transmitted to cash crops. This potential equity-to-commodity link has been shown by multiple studies (see, for example, Cheng et al, 2015;Hachula and Rieth, 2020). However, OIL and EXR are significant only for the volatility of coffee and cotton returns.…”
Section: Resultsmentioning
confidence: 78%
See 1 more Smart Citation
“…The effects on volatility in all three commodities are most pronounced in the VIX, which means that volatility in equity markets is transmitted to cash crops. This potential equity-to-commodity link has been shown by multiple studies (see, for example, Cheng et al, 2015;Hachula and Rieth, 2020). However, OIL and EXR are significant only for the volatility of coffee and cotton returns.…”
Section: Resultsmentioning
confidence: 78%
“…The DNM can be used to analyse the effect of a strong demand by different trader types on commodity futures prices, as it identifies situations in which actors within a specific category initiate trades. The use of techniques that fail to differentiate such initiated trades from trades that respond to OI positions in other categories could be a reason for mixed results on the influence of speculators' OI changes and futures returns (Hachula and Rieth, 2020).…”
Section: Measure Construction and Data Descriptionmentioning
confidence: 99%
“…During periods of moderate currency liquidity, IRU has negative impacts on FCP by reducing food consumption, due to the substitution effect of savings, but these negative impacts are small [ 95 , 96 ]. FU has greater impacts on FCP in the time of high currency liquidity [ 99 , 100 ]. SDU has positive impacts on FCP by diversifying food varieties and improving quality and market construction [ 94 ].…”
Section: Resultsmentioning
confidence: 99%
“…Global oil price volatility has received considerable attention from scholarly publications in economic discipline. Accordingly, this has led to varied conceptualizations of what constitutes 'volatility' (Troiano & Villa, 2020;Hachula & Rieth, 2020). Several scholars have argued that volatility in oil prices refers to the dispersion of the price of oil in the global market from its average over a given period as argued (Sauter & Awerbuch, 2003;Gulen & Michot, 2012;Ebrahim, Inderwildi & King, 2014).…”
Section: Introductionmentioning
confidence: 99%