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dc.contributor.authorLambinet, Rémy
hal.structure.identifierDauphine Recherches en Management [DRM]
dc.contributor.authorLautier, Delphine
hal.structure.identifierDauphine Recherches en Management [DRM]
dc.contributor.authorLing, Julien
hal.structure.identifierLaboratoire d'Economie de Dauphine [LEDa]
dc.contributor.authorVilleneuve, Bertrand
HAL ID: 745441
ORCID: 0000-0001-7485-9262
dc.date.accessioned2021-10-02T13:43:19Z
dc.date.available2021-10-02T13:43:19Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/21921
dc.language.isoenen
dc.subjectspot commodityen
dc.subjectprice discoveryen
dc.subject.ddc332en
dc.subject.classificationjelC.C5.C53en
dc.subject.classificationjelH.H4.H44en
dc.titleExchange-Traded Funds and their impact on commodity marketsen
dc.typeCommunication / Conférence
dc.description.abstractenThis article analyses the impact of Exchange-Traded Funds (ETFs) on commodity markets. We first develop an equilibrium model where three markets are linked to each other: the spot market, where the physical trading of the commodity takes place, and the associated futures and ETF markets. Arbitrage operations link spot, futures and ETF prices together. Thanks to the model, we can study the impact of the ETF, on the long run, on the variance of commodity spot and futures prices in different situations: i) when futures prices are in contango (stocks are abundant and arbitrage is easy) and when they are in backwardation (stocks are rare and arbitrage is difficult); ii) when the ETF relies on operations on the commodity itself (physical replication) and when it relies on futures transactions (synthetic replication). The model allows to define a Vector Error Correcting representation and to obtain a price discovery metrics in the case of three markets. On the basis of this measure, we perform empirical tests on 130 ETFs on precious metals, from 2004 to 2019. We show that, in our sample, the price discovery process is shared between the spot and the ETF markets, and that the latter is most of the time dominant in terms of information flows. Finally, we propose a method that allows for the identification of the days when ETFs are active on the futures and on the spot markets of the commodity. Controlling for other possible shocks we show, on a large sample of commodity ETFs, that when the ETFs are active, the price volatility of the commodity increases, with the exception of platinum. These results have implications for commodity production, storage and transformation decision making as well as for the regulation of commodity markets.en
dc.subject.ddclabelBourse, Marchés financiers. Taux d’intérêt – Stocks options – Optimisation mathématique – Analyse financièreen
dc.relation.conftitleCommodity and Energy Markets Association (CEMA) Annual Meeting 2020-2021en
dc.relation.confdate2020-06
dc.relation.confcityMadriden
dc.relation.confcountrySpainen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2021-09-28T07:42:54Z
dc.subject.classificationjelHALC - Mathematical and Quantitative Methods::C5 - Econometric Modeling::C53 - Forecasting and Prediction Methods; Simulation Methodsen
dc.subject.classificationjelHALH - Public Economics::H4 - Publicly Provided Goods::H44 - Publicly Provided Goods: Mixed Marketsen
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