Liquidity Measurement and Stock Returns

This dissertation tests the liquidity premium theory by using both cross-sectional and time-series model. Results show that cross-sectional illiquidity is positively related to stock return, and the expected liquidity has positively influence on market excess return over time. Also, contemporaneou...

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Main Author: Wei, Rui
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2013
Online Access:https://eprints.nottingham.ac.uk/26691/
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author Wei, Rui
author_facet Wei, Rui
author_sort Wei, Rui
building Nottingham Research Data Repository
collection Online Access
description This dissertation tests the liquidity premium theory by using both cross-sectional and time-series model. Results show that cross-sectional illiquidity is positively related to stock return, and the expected liquidity has positively influence on market excess return over time. Also, contemporaneous unexpected liquidity is different from expected liquidity; it is negatively related to market excess return over time. The liquidity proxies used here are turnover rate which is the times of stock trades during a specific time period; and ILLIQ which is the daily absolute stock return to the trading volume in dollars. By grouping up our sample by size, results shows that smaller stocks are affected more than larger stocks by liquidity. There is no January effect shown in our results. The famous 2007-2008 financial crisis data does not have a significant effect on the result as well.
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institution University of Nottingham Malaysia Campus
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spelling nottingham-266912017-10-19T13:35:28Z https://eprints.nottingham.ac.uk/26691/ Liquidity Measurement and Stock Returns Wei, Rui This dissertation tests the liquidity premium theory by using both cross-sectional and time-series model. Results show that cross-sectional illiquidity is positively related to stock return, and the expected liquidity has positively influence on market excess return over time. Also, contemporaneous unexpected liquidity is different from expected liquidity; it is negatively related to market excess return over time. The liquidity proxies used here are turnover rate which is the times of stock trades during a specific time period; and ILLIQ which is the daily absolute stock return to the trading volume in dollars. By grouping up our sample by size, results shows that smaller stocks are affected more than larger stocks by liquidity. There is no January effect shown in our results. The famous 2007-2008 financial crisis data does not have a significant effect on the result as well. 2013-09-20 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/26691/1/Rui_Wei%2C_2013%2C_Business_School%2C_Sanjay_Banerji..pdf Wei, Rui (2013) Liquidity Measurement and Stock Returns. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Wei, Rui
Liquidity Measurement and Stock Returns
title Liquidity Measurement and Stock Returns
title_full Liquidity Measurement and Stock Returns
title_fullStr Liquidity Measurement and Stock Returns
title_full_unstemmed Liquidity Measurement and Stock Returns
title_short Liquidity Measurement and Stock Returns
title_sort liquidity measurement and stock returns
url https://eprints.nottingham.ac.uk/26691/