2015
DOI: 10.1080/02692171.2015.1016406
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Financialization of food. Modelling the time-varying relation between agricultural prices and stock market dynamics

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Cited by 22 publications
(20 citation statements)
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“…Moreover, they claim that while the majority of price dynamics change is still assigned to the market fundamentals, almost 17% of the changes can be attributed to the financialisation. Similar conclusions are drawn by Girardi (2015), who claims that the growing correlation of agricultural markets is a consequence of agricultural markets financialisation as well as the outburst of the financial crisis by presenting the evidence of the financial turmoil importance in shaping commodity prices. The second strand of researchers focuses on assessing the negative impact of speculation on the price dynamics on commodity markets.…”
Section: Iiii Detrimental Impact Of Financialisationsupporting
confidence: 77%
“…Moreover, they claim that while the majority of price dynamics change is still assigned to the market fundamentals, almost 17% of the changes can be attributed to the financialisation. Similar conclusions are drawn by Girardi (2015), who claims that the growing correlation of agricultural markets is a consequence of agricultural markets financialisation as well as the outburst of the financial crisis by presenting the evidence of the financial turmoil importance in shaping commodity prices. The second strand of researchers focuses on assessing the negative impact of speculation on the price dynamics on commodity markets.…”
Section: Iiii Detrimental Impact Of Financialisationsupporting
confidence: 77%
“…According to Girardi ( 2015 ), a combination of financialization and financial crisis seems to drive the increasing correlation between agricultural prices and stock market dynamics. It is therefore likely that the influence of financial shocks on agricultural prices will diminish as global financial tensions fade.…”
Section: Evidence Of Financialization On Commodity Marketsmentioning
confidence: 99%
“…A common benchmark is the one-week lag used by Irwin and Sanders (2010) in their OECD study. Some critics have argued that this time lag is too short and fails to pick up causal relationships unfolding over much longer time horizons (Frenk and Staff, 2010;Girardi, 2013;Masters, 2008;Schumann, 2011;Singleton, 2011). For others, the lag is too long and overlooks relationships between CIT positions and price movements evidenced over much shorter time periods, with these short-term connections especially likely in highly liquid markets defined by high levels of trading activity (Gilbert, 2010;Gilbert and Pfuderer, 2014;Mayer, 2012).…”
Section: Time Lags and Causal Relationships ('Putting In Time')mentioning
confidence: 99%