Commodity and resource ETF trading patterns during the financial crisis

This study estimates the parameters of a power law fit of the distribution of log returns of exchange traded funds (ETFs) before, during, and after the recent financial crisis. It is found, that there is considerable variation both between ETFs and between calm and turbulent phases. Exponents of the...

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Main Author: Heinrich, T
Format: Journal article
Published: Hindawi 2014
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author Heinrich, T
author_facet Heinrich, T
author_sort Heinrich, T
collection OXFORD
description This study estimates the parameters of a power law fit of the distribution of log returns of exchange traded funds (ETFs) before, during, and after the recent financial crisis. It is found, that there is considerable variation both between ETFs and between calm and turbulent phases. Exponents of the daily log return distribution are estimated to lie mostly between 3.0 and 5.0 depending on the ETF. In minute‐by‐minute, trading data much lower power law exponents have been found concentrating between 3.0 and 4.0 and sometimes dropping to values close to or below 3.0. Further, there is evidence for changes in the distribution during times of turbulence (value of the exponent, improvement in the goodness of fit measures of the distribution). It can be hypothesized that effects such as, infinite variance (for α < 3) or changes in the form of the distribution can occur, in turn affecting the predictability of the system which has implications for the possibility to control or regulate financial markets under such conditions.
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spelling oxford-uuid:7451b023-2717-4276-8d82-b54811a06dbf2022-03-26T20:01:56ZCommodity and resource ETF trading patterns during the financial crisisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7451b023-2717-4276-8d82-b54811a06dbfSymplectic Elements at OxfordHindawi2014Heinrich, TThis study estimates the parameters of a power law fit of the distribution of log returns of exchange traded funds (ETFs) before, during, and after the recent financial crisis. It is found, that there is considerable variation both between ETFs and between calm and turbulent phases. Exponents of the daily log return distribution are estimated to lie mostly between 3.0 and 5.0 depending on the ETF. In minute‐by‐minute, trading data much lower power law exponents have been found concentrating between 3.0 and 4.0 and sometimes dropping to values close to or below 3.0. Further, there is evidence for changes in the distribution during times of turbulence (value of the exponent, improvement in the goodness of fit measures of the distribution). It can be hypothesized that effects such as, infinite variance (for α < 3) or changes in the form of the distribution can occur, in turn affecting the predictability of the system which has implications for the possibility to control or regulate financial markets under such conditions.
spellingShingle Heinrich, T
Commodity and resource ETF trading patterns during the financial crisis
title Commodity and resource ETF trading patterns during the financial crisis
title_full Commodity and resource ETF trading patterns during the financial crisis
title_fullStr Commodity and resource ETF trading patterns during the financial crisis
title_full_unstemmed Commodity and resource ETF trading patterns during the financial crisis
title_short Commodity and resource ETF trading patterns during the financial crisis
title_sort commodity and resource etf trading patterns during the financial crisis
work_keys_str_mv AT heinricht commodityandresourceetftradingpatternsduringthefinancialcrisis