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...

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Bibliographic Details
Published inRevista Brasileira de Financas Vol. 16; no. 1; p. 157
Main Authors da Silveira, Vinicius Girardi, Vieira, Kelmara Mendes, Righi, Marcelo Brutti
Format Journal Article
LanguagePortuguese
Published Sociedade Brasileira de Financas 01.01.2018
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Summary: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.
ISSN:1679-0731