LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RAM. Revista de Administração Mackenzie |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-69712017000600201 |
Resumo: | ABSTRACT Objective: The present study estimates the liquidity cost of the corn future contract traded on B3 (formerly BM&FBovespa) and compare it to the CME corn future contract, through five implicit bid-ask spread measures. Originality/value: The market microstructure approach, with its focus on high frequency data, reveals characteristics of the emerging agricultural markets (also known as thin markets), which were not evident in studies with daily frequency data. Design/methodology/approach: To analyze the performance of five cost estimators, the data used in our analysis consists of intraday series of future contracts of B3 and CME from September 1, 2015, to August 30, 2016. The methodology adopted includes these estimators: Roll model (1984); Model of Thompson & Waller (1987) model of Choi, Salandro & Shastri (1988);Model of Chu, Ding & Pyun (1996) and the model of Wang, Yau & Baptiste (1997). Findings: The liquidity cost is lower in CME’s future corn market than in B3, and the estimated cost of liquidity in CME’s future corn market is 2 to 3 cents (in R$/60-kgbag) while at BM & F the cost is 6 to 16 cents (in R$/60-kgbag). |
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LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETSHigh frequency DataBid-ask spreadFutures marketCorn marketCommoditiesABSTRACT Objective: The present study estimates the liquidity cost of the corn future contract traded on B3 (formerly BM&FBovespa) and compare it to the CME corn future contract, through five implicit bid-ask spread measures. Originality/value: The market microstructure approach, with its focus on high frequency data, reveals characteristics of the emerging agricultural markets (also known as thin markets), which were not evident in studies with daily frequency data. Design/methodology/approach: To analyze the performance of five cost estimators, the data used in our analysis consists of intraday series of future contracts of B3 and CME from September 1, 2015, to August 30, 2016. The methodology adopted includes these estimators: Roll model (1984); Model of Thompson & Waller (1987) model of Choi, Salandro & Shastri (1988);Model of Chu, Ding & Pyun (1996) and the model of Wang, Yau & Baptiste (1997). Findings: The liquidity cost is lower in CME’s future corn market than in B3, and the estimated cost of liquidity in CME’s future corn market is 2 to 3 cents (in R$/60-kgbag) while at BM & F the cost is 6 to 16 cents (in R$/60-kgbag).Editora MackenzieUniversidade Presbiteriana Mackenzie2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-69712017000600201RAM. Revista de Administração Mackenzie v.18 n.6 2017reponame:RAM. Revista de Administração Mackenzieinstname:Universidade Presbiteriana Mackenzie (UPM)instacron:MACKENZIE10.1590/1678-69712017/administracao.v18n6p201-223info:eu-repo/semantics/openAccessTONIN,JULYERME MATHEUSCOSTA JUNIOR,GERALDOGOMES MARTINES FILHO,JOÃOeng2018-01-11T00:00:00Zoai:scielo:S1678-69712017000600201Revistahttps://www.scielo.br/j/ram/https://old.scielo.br/oai/scielo-oai.phprevista.adm@mackenzie.br1678-69711518-6776opendoar:2018-01-11T00:00RAM. Revista de Administração Mackenzie - Universidade Presbiteriana Mackenzie (UPM)false |
dc.title.none.fl_str_mv |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
title |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
spellingShingle |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS TONIN,JULYERME MATHEUS High frequency Data Bid-ask spread Futures market Corn market Commodities |
title_short |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
title_full |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
title_fullStr |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
title_full_unstemmed |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
title_sort |
LIQUIDITY COSTS IN EMERGING CORN FUTURES MARKETS |
author |
TONIN,JULYERME MATHEUS |
author_facet |
TONIN,JULYERME MATHEUS COSTA JUNIOR,GERALDO GOMES MARTINES FILHO,JOÃO |
author_role |
author |
author2 |
COSTA JUNIOR,GERALDO GOMES MARTINES FILHO,JOÃO |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
TONIN,JULYERME MATHEUS COSTA JUNIOR,GERALDO GOMES MARTINES FILHO,JOÃO |
dc.subject.por.fl_str_mv |
High frequency Data Bid-ask spread Futures market Corn market Commodities |
topic |
High frequency Data Bid-ask spread Futures market Corn market Commodities |
description |
ABSTRACT Objective: The present study estimates the liquidity cost of the corn future contract traded on B3 (formerly BM&FBovespa) and compare it to the CME corn future contract, through five implicit bid-ask spread measures. Originality/value: The market microstructure approach, with its focus on high frequency data, reveals characteristics of the emerging agricultural markets (also known as thin markets), which were not evident in studies with daily frequency data. Design/methodology/approach: To analyze the performance of five cost estimators, the data used in our analysis consists of intraday series of future contracts of B3 and CME from September 1, 2015, to August 30, 2016. The methodology adopted includes these estimators: Roll model (1984); Model of Thompson & Waller (1987) model of Choi, Salandro & Shastri (1988);Model of Chu, Ding & Pyun (1996) and the model of Wang, Yau & Baptiste (1997). Findings: The liquidity cost is lower in CME’s future corn market than in B3, and the estimated cost of liquidity in CME’s future corn market is 2 to 3 cents (in R$/60-kgbag) while at BM & F the cost is 6 to 16 cents (in R$/60-kgbag). |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-69712017000600201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-69712017000600201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-69712017/administracao.v18n6p201-223 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Editora Mackenzie Universidade Presbiteriana Mackenzie |
publisher.none.fl_str_mv |
Editora Mackenzie Universidade Presbiteriana Mackenzie |
dc.source.none.fl_str_mv |
RAM. Revista de Administração Mackenzie v.18 n.6 2017 reponame:RAM. Revista de Administração Mackenzie instname:Universidade Presbiteriana Mackenzie (UPM) instacron:MACKENZIE |
instname_str |
Universidade Presbiteriana Mackenzie (UPM) |
instacron_str |
MACKENZIE |
institution |
MACKENZIE |
reponame_str |
RAM. Revista de Administração Mackenzie |
collection |
RAM. Revista de Administração Mackenzie |
repository.name.fl_str_mv |
RAM. Revista de Administração Mackenzie - Universidade Presbiteriana Mackenzie (UPM) |
repository.mail.fl_str_mv |
revista.adm@mackenzie.br |
_version_ |
1752128650088546304 |