Measuring Liquidity Through Time Series Factor Analysis/ Medindo Liquidez Atraves da Analise Fatorial de Series Temporais
This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks traded on BM&FBOVESPA of five liquidity proxies for exemplifying the factorial construction. How findings, the study allow us to observe th...
Saved in:
Published in | Revista Brasileira de Financas Vol. 16; no. 1; p. 157 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | Portuguese |
Published |
Sociedade Brasileira de Financas
01.01.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks traded on BM&FBOVESPA of five liquidity proxies for exemplifying the factorial construction. How findings, the study allow us to observe the possibility of combining different liquidity proxies to create a single liquidity measure. The liquidity factor has demonstrated a strong association with the proxies used in their construction. In addition, it has advantages such as the possibility of replication for new datas and a stationary behavior. Keywords: Stock Market; Liquidity; Times Series Factor Analysis. Este estudo tem por obtivo empregar a tecnica de Analise Fatorial de Series Temporais (TSFA) para medir a liquidez em mercados acionarios. Com base neste modelo, foram utilizados dados diarios da negociacao de acoes da BM&FBOVESPA de cinco diferentes proxys de liquidez a fim de exemplificar a construcao fatorial. Como constatacoes, o estudo permitiu observar a possibilidade de se combinar diferentes proxys de liquidez para a formacao de uma unica medida. O fator Liquidez demonstrou possuir uma forte associacao com as proxys utilizadas em sua construcao. Alem disso, apresenta vantagens como a possibilidade de replicacao para novos dados e um comportamento estacionario. Palavras-Chave: Mercado Acionario, Liquidez, Analise Fatorial de Series Temporais. |
---|---|
AbstractList | This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks traded on BM&FBOVESPA of five liquidity proxies for exemplifying the factorial construction. How findings, the study allow us to observe the possibility of combining different liquidity proxies to create a single liquidity measure. The liquidity factor has demonstrated a strong association with the proxies used in their construction. In addition, it has advantages such as the possibility of replication for new datas and a stationary behavior. Keywords: Stock Market; Liquidity; Times Series Factor Analysis. Este estudo tem por obtivo empregar a tecnica de Analise Fatorial de Series Temporais (TSFA) para medir a liquidez em mercados acionarios. Com base neste modelo, foram utilizados dados diarios da negociacao de acoes da BM&FBOVESPA de cinco diferentes proxys de liquidez a fim de exemplificar a construcao fatorial. Como constatacoes, o estudo permitiu observar a possibilidade de se combinar diferentes proxys de liquidez para a formacao de uma unica medida. O fator Liquidez demonstrou possuir uma forte associacao com as proxys utilizadas em sua construcao. Alem disso, apresenta vantagens como a possibilidade de replicacao para novos dados e um comportamento estacionario. Palavras-Chave: Mercado Acionario, Liquidez, Analise Fatorial de Series Temporais. This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks traded on BM&FBOVESPA of five liquidity proxies for exemplifying the factorial construction. How findings, the study allow us to observe the possibility of combining different liquidity proxies to create a single liquidity measure. The liquidity factor has demonstrated a strong association with the proxies used in their construction. In addition, it has advantages such as the possibility of replication for new datas and a stationary behavior. |
Audience | Academic |
Author | Vieira, Kelmara Mendes Righi, Marcelo Brutti da Silveira, Vinicius Girardi |
Author_xml | – sequence: 1 fullname: da Silveira, Vinicius Girardi – sequence: 2 fullname: Vieira, Kelmara Mendes – sequence: 3 fullname: Righi, Marcelo Brutti |
BookMark | eNptkE1Lw0AQhvdQwVr7HxY8R7PdZDd7DMWq0OLB3MtkdzYdyIdmWyH-ehctxYPMYWB4npfhvWGzfuhxxuZCaZOkWoprtgyB6jSVaS5UoeZs2iGE00h9w7f0cSJHx4lXh3E4NQdeUYf8DUfCwDdgj8PIyx7aKVB44Dt01LvhrOEXL48jfEbSwQ9FAaMUHYKWu0tOhd37MAKFW3bloQ24PO8FqzaP1fo52b4-vazLbdIorZIMTGFtVqeoQSjrjAOZAnqBtcjQrDK1MhocGOuywhltvJcetAJf62IlpVywu9_YBlrcU--H-KbtKNh9meciVqNyFan7f6g4DjuysUVP8f5H-AZXg2ul |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 Sociedade Brasileira de Financas |
Copyright_xml | – notice: COPYRIGHT 2018 Sociedade Brasileira de Financas |
DBID | INF |
DatabaseName | ¡Informe! |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
ExternalDocumentID | A551167656 |
GeographicLocations | Brasil |
GeographicLocations_xml | – name: Brasil |
GroupedDBID | ABDHV AKVCP ALMA_UNASSIGNED_HOLDINGS TH9 INF |
ID | FETCH-LOGICAL-g676-4a98cc4b0e7a16cd9da30aef1eb14e9246297ada9cd48d979ff3fa76afb782333 |
ISSN | 1679-0731 |
IngestDate | Thu Feb 22 23:58:36 EST 2024 Wed Oct 25 09:19:13 EDT 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | Portuguese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-g676-4a98cc4b0e7a16cd9da30aef1eb14e9246297ada9cd48d979ff3fa76afb782333 |
ParticipantIDs | gale_infotracmisc_A551167656 gale_infotracacademiconefile_A551167656 |
PublicationCentury | 2000 |
PublicationDate | 20180101 |
PublicationDateYYYYMMDD | 2018-01-01 |
PublicationDate_xml | – month: 01 year: 2018 text: 20180101 day: 01 |
PublicationDecade | 2010 |
PublicationTitle | Revista Brasileira de Financas |
PublicationYear | 2018 |
Publisher | Sociedade Brasileira de Financas |
Publisher_xml | – name: Sociedade Brasileira de Financas |
SSID | ssib003051686 ssib051812993 ssib007484949 ssib044758557 |
Score | 1.97204 |
Snippet | This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks... |
SourceID | gale |
SourceType | Aggregation Database |
StartPage | 157 |
Title | Measuring Liquidity Through Time Series Factor Analysis/ Medindo Liquidez Atraves da Analise Fatorial de Series Temporais |
Volume | 16 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZoT1wQiCIKBflQqYdVoF4nTnxcIdqKapEQAfVWTWwHRVp2S5NFor-eGdt5UBAqXKLIsUdW5vN4_JhvGDvEGaGWQukEpHZJCnOXgDI2wbmpkmgLq8znjFy-V2ef0ncX2cV4dchHl3TVK3Pzx7iS_9EqlqFeKUr2HzQ7CMUCfEf94hM1jM876XjpN_hCnNK3bWPJoy5j4h2K7SBLgCvh2YlPqjMQkBBTOR3QrO0mNnQ3s0VHiYjamQVfr2kdNiMGETrFGSSVgcmqaadOLZ0voJOJOIEWjUxzDdQiZP6FwWdHwR-b1Xf67C_XUkRms21np1iAKO2rfW76Gudu9RVQ1pJ26ccr-U3IQ0xRRsatNoTOrmumuxeiuLV74a-mWrDub10MllnlFG0Vp4zedKvfIBrssAis17eotBfoHqIcdGF32I4UdAP0_MN0tZkJNWHTI5pVPa5OiRqxyMZD4oycI-1pnYfOxYl94qKUD9mDuLbgiwCUR-zeVfeY_RhAwgeQ8AgSTiDhQbU8gIT3IHnNI0R4DxEeIcIt8AgR3kOE20HOAJE9Vp68Ld-cJTHfRvIFfwoOVF0Yk1bHLgeB41VbkMfgaoHTeepwna7mOgcL2ti0sDrXdS1ryBXUFbqZUsonbHe9WbunjFfSGZjXotYuTTMNRSpSMc-1IqNvRb7Pjug3XdJQw64biLEg2JroyC5HRe2zg19qovEzk8_P7izoObs_4u-A7XbXW_cC_cmueulR8BPpyn08 |
link.rule.ids | 315,783,787 |
linkProvider | Colorado Alliance of Research Libraries |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Measuring+Liquidity+Through+Time+Series+Factor+Analysis%2F+Medindo+Liquidez+Atraves+da+Analise+Fatorial+de+Series+Temporais&rft.jtitle=Revista+Brasileira+de+Financas&rft.au=da+Silveira%2C+Vinicius+Girardi&rft.au=Vieira%2C+Kelmara+Mendes&rft.au=Righi%2C+Marcelo+Brutti&rft.date=2018-01-01&rft.pub=Sociedade+Brasileira+de+Financas&rft.issn=1679-0731&rft.volume=16&rft.issue=1&rft.spage=157&rft.externalDocID=A551167656 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1679-0731&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1679-0731&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1679-0731&client=summon |