2005
DOI: 10.3386/w11413
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Liquidity and Expected Returns: Lessons From Emerging Markets

Abstract: Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not. Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively cor… Show more

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Cited by 312 publications
(448 citation statements)
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“…Conventional liquidity measures are difficult to calculate for emerging market stocks because of a lack of data on stock turnover. Lesmond (2005) and Bekaert, Harvey, and Lundblad (2007) therefore suggest the percentage of daily zero returns as an illiquidity proxy. The two-year period from July 1, 1998, to July 1, 2000, is used to calculate the percentage of zero returns, Z R j , and a stock liquidity proxy is defined as Liq j = ln(1 − Z R j ).…”
Section: Market Integration By Cross-listing and Liquiditymentioning
confidence: 99%
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“…Conventional liquidity measures are difficult to calculate for emerging market stocks because of a lack of data on stock turnover. Lesmond (2005) and Bekaert, Harvey, and Lundblad (2007) therefore suggest the percentage of daily zero returns as an illiquidity proxy. The two-year period from July 1, 1998, to July 1, 2000, is used to calculate the percentage of zero returns, Z R j , and a stock liquidity proxy is defined as Liq j = ln(1 − Z R j ).…”
Section: Market Integration By Cross-listing and Liquiditymentioning
confidence: 99%
“…The finance literature has highlighted the role of stock liquidity for (short-term) stock price behavior, which suggests liquidity measures as additional regression controls. Following Bekaert, Harvey, and Lundblad (2007), I use again the liquidity proxy Liq j = ln(1 − Z R j ), where Z R j measures the percentage of days with zero stock return. Table 9 presents the augmented regression results.…”
Section: Robustness Issuesmentioning
confidence: 99%
“…For in depth analysis, refer to Glosten and Harris, 1988, Chan K. and Lakonishok, 1995, among many others). 6 Since we use intraday minute data, we use the terms "trades" and "minutes" interchangeably. The quoted spread and effective spread report higher Rsquared at 27 and 22 percent, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…6 The total price impact is calculated as the percentage return from five trades prior to the block trade to the block trade itself. The temporary price impact is calculated as the percentage return from the block trade to the fifth trade after the block trade.…”
Section: Price Impactmentioning
confidence: 99%
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