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Revealing the impact of index traders on commodity futures markets

机译:揭示指数交易者对商品期货市场的影响

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Commodity futures prices and volatility increased dramatically from 2006 to 2008, following a period during which index traders, a class of large investment funds, took on massive commodity futures positions. This article presents a method to reveal the extent to which index trader trading activity (volume) might have caused increases in futures price volatility. This approach is useful when position-level data are incomplete or confidential, as with index trader position data. The method is applied to leading agricultural commodity futures data. The impact of index traders is identified during their period of greatest activity, that is, 2005 to 2006, using aggregated volume data that are filtered using wavelet transforms. The filtering decision rule is guided by the Commodity Futures Trading Commission's (CFTC) finding that index traders do not engage in short-run trades. A joint model of futures (filtered) volume and (unfiltered) price volatility is estimated by 2SLS to account for the endogeneity of prices and volume. As a robustness check, both log-range and GARCH measures of volatility are used. The evidence provides no support for the claim that index traders have increased price volatility for storable commodities (grains/oilseeds) and only weak support in the case of nonstorable commodities (meats).View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/13504851003761848
机译:从2006年到2008年,商品期货价格和波动性急剧上升,此后一段时期内,指数交易员(一类大型投资基金)承担了大量商品期货头寸。本文提供了一种方法来揭示指数交易者的交易活动(数量)可能在多大程度上导致了期货价格波动性的增加。当头寸数据不完整或机密时,如指数交易员头寸数据,此方法很有用。该方法适用于主导农产品期货数据。通过使用小波变换过滤的汇总交易量数据,可以确定指数交易者的最大活动时期(即2005年至2006年)的影响。商品期货交易委员会(CFTC)的指导原则是筛选决策规则,该发现发现指数交易者不从事短期交易。 2SLS估计了期货(已过滤)数量和(未过滤)价格波动的联合模型,以说明价格和数量的内生性。作为稳健性检查,同时使用了对数范围和波动率的GARCH度量。没有证据表明指数交易商增加了可储存商品(谷物/油籽)的价格波动性,而仅在不可储存商品(肉类)的情况下提供了弱支持。查看全文下载全文相关的var addthis_config = {ui_cobrand:“ Taylor &Francis Online”,services_compact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/13504851003761848

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