2011
DOI: 10.1016/j.jeconom.2010.11.005
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Market liquidity as dynamic factors

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Cited by 21 publications
(3 citation statements)
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“…The reviewed studies have tested and proposed the best performing measures of liquidity under different market systems. Spread and volume-related liquidity measures were used by Hallin et al (2011) and evidenced that both the measures are negatively correlated and give identical information about market liquidity and thus can be used as complementary to the other. In the context of liquidity in developing markets, Marshall et al (2013) found that Gibbs, Amihud, and Amivest measures prove to be effective measures, whereas in an emerging market, Będowska-Sójka and Echaust (2020) found that the Closing Quoted Spread measure based on daily data was the best performing liquidity measure during the periods of extreme liquidity.…”
Section: Measurement Of Stock Market Liquiditymentioning
confidence: 99%
“…The reviewed studies have tested and proposed the best performing measures of liquidity under different market systems. Spread and volume-related liquidity measures were used by Hallin et al (2011) and evidenced that both the measures are negatively correlated and give identical information about market liquidity and thus can be used as complementary to the other. In the context of liquidity in developing markets, Marshall et al (2013) found that Gibbs, Amihud, and Amivest measures prove to be effective measures, whereas in an emerging market, Będowska-Sójka and Echaust (2020) found that the Closing Quoted Spread measure based on daily data was the best performing liquidity measure during the periods of extreme liquidity.…”
Section: Measurement Of Stock Market Liquiditymentioning
confidence: 99%
“…A panel often decomposes into subpanels or blocks, according, for instance, to geographic criteria. Such features are treated via a (finite-𝑛, large 𝑇 ) hierarchical static factor model by Kose et al (2003) and (large 𝑛 and 𝑇 ) Moench et al (2013), in full generality and a (large 𝑛 and 𝑇 ) GDFM by Hallin andLiška (2011), Hallin et al (2011), and Barigozzi et al (2018b).…”
Section: Identifying the Number Of Factorsmentioning
confidence: 99%
“…We find that these impacts Introduction addition to Pastor-Stambaughs' price reversion parameters. Secondly, it provides a representation that allows us to treat commonalities in more flexible manner compared to previous works such as Hasbrouck and Seppi (2001), Korajczyk and Sadka (2008) and Hallin, Mathias, Pirotte, and Veredas (2011).…”
Section: Asymmetric Information and Order Flowsmentioning
confidence: 99%