2013
DOI: 10.1016/j.intfin.2013.07.011
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Liquidity measurement in frontier markets

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Cited by 34 publications
(16 citation statements)
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“…Empirically, the reliability of the Amihud (2002) illiquidity ratio has been verified in a series of horseraces using data from the U.S. (Goyenko et al, 2009), emerging markets (Lesmond, 2005), frontier markets (Marshall et al, 2013) and global stock exchanges (Fong et al, 2014b). In these four studies, the Amihud ratio is found to exhibit one of the highest correlations among cost-pervolume proxies with intraday benchmarks.…”
Section: Measuring Stock Liquiditymentioning
confidence: 92%
“…Empirically, the reliability of the Amihud (2002) illiquidity ratio has been verified in a series of horseraces using data from the U.S. (Goyenko et al, 2009), emerging markets (Lesmond, 2005), frontier markets (Marshall et al, 2013) and global stock exchanges (Fong et al, 2014b). In these four studies, the Amihud ratio is found to exhibit one of the highest correlations among cost-pervolume proxies with intraday benchmarks.…”
Section: Measuring Stock Liquiditymentioning
confidence: 92%
“…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. Furthermore, Będowska-Sójka (2018) made a comparison between different liquidity measures and concluded that the Amihud Illiquidity ratio evolves as the best transactional cost measure and Karstanje et al (2013) proved that zero return measure is a very strong and reliable measure for determining the timing of liquidating the trading positions.…”
Section: Measurement Of Stock Market Liquiditymentioning
confidence: 99%
“…Employed in research analysis of very illiquid markets (Marshall et al 2013), it is estimated based on Fong et al (2011), with the proportion of zero stock returns z and the standard deviation of adjusted daily returns σ : Longstaff and Schwartz's (2001) option value for the maximum lack of marketability discount, assuming the standard deviation of the annualized daily stock returns is σ and T is the length of time the shares are illiquid: Longstaff and Schwartz's (2001) version for the upper bound for the thin-trading discount, which, in addition to the variables in the marketability discount Longst, incorporates the length L of the interval during which the investor can sell the illiquid security: Chacko et al (2008) derive the cost of purchasing (+) or liquidating (−) securities under a prevailing riskless rate r, security return volatility σ and expected waiting time…”
Section: Amivestmentioning
confidence: 99%