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Farshid Abdi
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Abdi
First name
Farshid
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PublicationA Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low PricesWe propose a new method to estimate the bid-ask spread when quote data are not available. Compared to other low-frequency estimates, this method utilizes a wider information set, namely, readily available close, high, and low prices. In the absence of end-of-day Quote data, this method generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Our estimator has many potential applications, including an accurate measurement of transaction cost, systematic liquidity risk, and commonality in liquidity for U.S. stocks dating back almost one century.Type: journal articleJournal: The Review of Financial StudiesVolume: 30Issue: 12DOI: 10.1093/rfs/hhx084
Scopus© Citations 121 -
PublicationA Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices( 2017-01-06)To estimate the bid-ask spread, we propose a new method that resembles the Roll measure (1984) but has some key advantages: it is fully independent of bid-ask bounces and benefits from a wider information set, namely, close, high, and low prices, which are readily available. Assessed against other low-frequency estimates, our estimator generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Finally, our estimator improves the measurement of systematic liquidity risk and commonality in liquidity for individual stocks and sorted portfolios.Type: conference poster
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PublicationType: presentation
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PublicationFrom volatility to liquidity: Simple estimation from high and low prices( 2013-12-14)Using readily available data on daily high and lows prices, a simple estimation method of the efficient price volatility and bid-ask spread is developed. The model relies on general assumptions and it provides a closed-form solution for an unbiased estimator of efficient volatility. Moreover, it provides a better treatment of the volume effect caused by trading discontinuity and non-trading time. Using a comprehensive data set of high-frequency FX rates, it is shown that the liquidity estimator proposed is highly correlated with the actual bid-ask spread and other measures of market liquidityType: presentation
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PublicationA Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low PricesWe propose a new method to estimate the bid-ask spread when quote data are not available. Compared to other low-frequency estimates, it utilizes a wider information set, namely, close, high, and low prices, which are readily available. In the absence of end-of-day quote data, it generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Our estimator has many potential applications including an accurate measurement of transaction cost, systematic liquidity risk, and commonality in liquidity for U.S. stocks dating back almost one century.