Internet, noise trading and commodity prices
AbstractWe study the effect of an increased noise trading caused by easier access to information on agricultural futures prices. The theoretical framework is the Mixture Distribution Hypothesis (MDH), that posits a joint dependence of return volatility and information. We use two different proxies for the observed component of information flows, which allows to separate the effect of supply and demand of information. We analyse the effect of information demand using the Internet Search Volume from Google Insight. Empirical results support the MDH and highlight that the search of information on internet by noise traders can amplify volatility.
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Bibliographic InfoPaper provided by Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano in its series Departmental Working Papers with number 2012-07.
Date of creation: 01 Jun 2012
Date of revision:
Noise trading; commodity futures prices; information; mixture distribution hypothesis; egarch;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
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