Which Liquidity Proxy Measures Liquidity Best in Emerging Markets?
Open Access
Abstract
This study empirically investigates the low-frequency liquidity proxies that best measure liquidity in emerging markets. We carry out a comprehensive analysis using tick data that cover 1183 stocks from 21 emerging markets, while also comparing various low-frequency liquidity proxies with high-frequency spread measures and price impact measures. We find that the Lesmond, Ogden, and Trzcinka (LOT) measure is the most effective spread proxy in most emerging markets. Among the price impact proxies, the Amihud measure is the most effective.Keywords
This publication has 32 references indexed in Scilit:
- A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low PricesThe Review of Financial Studies, 2017
- Does Asymmetric Information Drive Capital Structure Decisions?The Review of Financial Studies, 2008
- Liquidity and Expected Returns: Lessons from Emerging MarketsThe Review of Financial Studies, 2007
- Stock Market Liquidity and Firm Dividend PolicyJournal of Financial and Quantitative Analysis, 2007
- The Declining Information Content of Dividend Announcements and the Effects of Institutional HoldingsJournal of Financial and Quantitative Analysis, 2006
- Asset pricing with liquidity riskJournal of Financial Economics, 2005
- Illiquidity and stock returns: cross-section and time-series effectsJournal of Financial Markets, 2002
- Market microstructure and asset pricing: On the compensation for illiquidity in stock returnsJournal of Financial Economics, 1996
- Time‐Varying World Market IntegrationThe Journal of Finance, 1995
- Asset pricing and the bid-ask spreadJournal of Financial Economics, 1986