The relationship between free float ratio and market liquidity during the COVID-19 period
PDF
Cite
Share
Request
Original Article
VOLUME: 14 ISSUE: 2
P: 126 - 137
December 2025

The relationship between free float ratio and market liquidity during the COVID-19 period

Trakya Univ E J Fac Econ Adm Sci 2025;14(2):126-137
1. Tarsus Üniversitesi Uygulamalı Bilimler Fakültesi Finans ve Bankacılık Anabilim Dalı, Mersin, Türkiye
No information available.
No information available
Received Date: 23.05.2025
Accepted Date: 23.08.2025
Online Date: 30.12.2025
Publish Date: 30.12.2025
E-Pub Date: 09.12.2025
PDF
Cite
Share
Request

ABSTRACT

This study examines the impact of the free float ratio on the liquidity of stocks traded on Borsa İstanbul during the COVID-19 pandemic. The turnover ratio is used as the liquidity indicator, and multivariate regression analyses are conducted using monthly data from January 2020 to September 2024. The model includes a dummy variable representing the COVID-19 crisis period and an interaction term between this dummy variable and the free float ratio. Additional firm-level control variables such as volatility, return, stock price, and market capitalization are also incorporated. The findings reveal that the free float ratio positively affects market liquidity, and this effect becomes stronger during the crisis period. A significant increase in trading volume was observed, likely driven by heightened retail investor interest. The results indicate that the free float ratio contributes not only to liquidity under normal market conditions but also supports market stability during times of heightened risk. Contrary to expectations, a liquidity dry-up was not observed during the COVID-19 period in Borsa İstanbul; instead, market liquidity improved, highlighting the structural role of free float in enhancing market resilience.

JEL Classification: C58, G14, G41

Keywords:
Free Float Ratio, Market Liquidity, COVID-19.

References

1
Aktar, M. A., Alam, M. M. ve Al-Amin, A. Q. (2021). Global economic crisis, energy use, CO2 emissions, and policy roadmap amid COVID-19. Sustainable Production and Consumption, 26 , 770–781. https://doi.org/10.1016/j.spc.2020.12.029
2
Amihud, Y., Mendelson, H. ve Pedersen, L. H. (2005). Liquidity and asset prices. Foundations and Trends in Finance, 1 (4), 269–364. http://dx.doi.org/10.1561/0500000003
3
Anderson, R. M. (2011). Time-varying risk premia. Journal of Mathematical Economics, 47 (3), 253–259. https://doi.org/10.1016/j.jmateco.2010.12.010
4
Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics ve Statistics , 49 (4). https://doi.org/10.1111/j.1468-0084.1987.mp49004006.x
5
Baker, S. R., Bloom, N., Davis, S. J., Kost, K. J., Sammon, M. C., ve Viratyosin, T. (2020). The unprecedented stock market impact of COVID-19 (NBER Working Paper No. 26945). National Bureau of Economic Research. https://doi.org/10.3386/w26945
6
Boubakri, N., Chen, R. R., El Ghoul, S., Guedhami, O. ve Nash, R. (2020). State ownership and stock liquidity: Evidence from privatization. Journal of Corporate Finance , 65 , 101763. https://doi.org/10.1016/j.jcorpfin.2020.101763
7
Brockman, P., Chung, D. Y. ve Yan, X. (2009). Block ownership, trading activity, and market liquidity. Journal of Financial and Quantitative Analysis, 44 (6), 1403–1426. https://doi.org/10.1017/S0022109009990378
8
Brunnermeier, M. K. ve Pedersen, L. H. (2009). Market liquidity and funding liquidity. The Review of Financial Studies, 22 (6), 2201–2238. https://doi.org/10.1093/rfs/hhn098
9
Cameron, A. C. ve Miller, D. L. (2015). A practitioner’s guide to cluster-robust inference. Journal of human resources , 50 (2), 317–372. https://doi.org/10.3368/jhr.50.2.317
10
Chia, Y. E., Lim, K. P. ve Goh, K. L. (2020). More shareholders, higher liquidity? Evidence from an emerging stock market. Emerging Markets Review , 44 , 100696. https://doi.org/10.1016/j.ememar.2020.100696
11
Chordia, T., Roll, R., ve Subrahmanyam, A. (2000). Commonality in liquidity. Journal of Financial Economics,56 (1), 3–28. https://doi.org/10.1016/S0304-405X(99)00057-4
12
Chung, K. H., Van Ness, B. F. ve Van Ness, R. A. (1999). Limit orders and the bid–ask spread. Journal of Financial Economics,53 (2), 255–287. https://doi.org/10.1016/S0304-405X(99)00022-7
13
Cohen, L., Malloy, C. ve Pomorski, L. (2012). Decoding inside information. The Journal of Finance, 67 (3), 1009–1043. https://doi.org/10.1111/j.1540-6261.2012.01740.x
14
Copeland, T. E. ve Galai, D. (1983). Information effects on the bid-ask spread. The Journal of Finance, 38 (5), 1457–1469. https://doi.org/10.1111/j.1540-6261.1983.tb03680.x
15
Ding, M., ve Suardi, S. (2019). Government ownership and stock liquidity: Evidence from China. Emerging Markets Review , 40 (3), 100625. https://doi.org/10.1016/j.ememar.2019.100625
16
Ding, X., Ni, Y. ve Zhong, L. (2016). Free float and market liquidity around the world. Journal of Empirical Finance, 38, 236–257. https://doi.org/10.1016/j.jempfin.2016.07.002
17
Easley, D. ve O’hara, M. (1992). Time and the process of security price adjustment. The Journal of Finance , 47 (2), 577–605. https://doi.org/10.1111/j.1540-6261.1992.tb04402.x
18
El-Nader, G. (2018). Stock liquidity and free float: evidence from the UK. Managerial Finance, 44 (10), 1227–1236. https://doi.org/10.1108/MF-12-2017-0494
19
Engle, R. F. ve Russell, J. R. (1998). Autoregressive conditional duration: a new model for irregularly spaced transaction data. Econometrica , 1127–1162. https://doi.org/10.2307/2999632
20
Florackis, C., Gregoriou, A. ve Kostakis, A. (2011). Trading frequency and asset pricing on the London stock exchange: Evidence from a new price impact ratio. Journal of Banking ve Finance , 35 (12), 3335–3350. https://doi.org/10.1016/j.jbankfin.2011.05.014
21
Florackis, C., Kontonikas, A. ve Kostakis, A. (2014). Stock market liquidity and macro-liquidity shocks: Evidence from the 2007–2009 financial crisis. Journal of International Money and Finance, 44, 97–117. https://doi.org/10.1016/j.jimonfin.2014.02.002
22
Foley, S., Kwan, A., Philip, R. ve Ødegaard, B. A. (2022). Contagious margin calls: how COVID-19 threatened global stock market liquidity. Journal of Financial Markets , 59 , 100689. https://doi.org/10.1016/j.finmar.2021.100689
23
Gabrielsen, A., Marzo, M. ve Zagaglia, P. (2011). Measuring market liquidity: An introductory survey. arXiv preprint arXiv:1112.6169. https://doi.org/10.48550/arXiv.1112.6169
24
Glosten, L. R., ve Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14 (1), 71–100. https://doi.org/10.1016/0304-405X(85)90044-3
25
Gofran, R. Z., Gregoriou, A. ve Haar, L. (2022). Impact of Coronavirus on liquidity in financial markets. Journal of International Financial Markets, Institutions and Money , 78 , 101561. https://doi.org/10.1016/j.intfin.2022.101561
26
Gopalan, R., Kadan, O. ve Pevzner, M. (2010). Asset liquidity and stock liquidity. Journal of Financial and Quantitative Analysis , 47 (2), 333–364. https://doi.org/10.1017/S0022109012000130
27
Hameed, A., Kang, W. ve Viswanathan, S. (2010). Stock market declines and liquidity. The Journal of Finance , 65 (1), 257–293. https://doi.org/10.1111/j.1540-6261.2009.01529.x
28
Khan, M. N., Fifield, S. G. ve Power, D. M. (2024). The impact of the COVID 19 pandemic on stock market volatility: Evidence from a selection of developed and emerging stock markets. SN Business ve Economics , 4 (6), 63. https://doi.org/10.1007/s43546-024-00659-w
29
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica: Journal of the Econometric Society , 1315–1335. https://doi.org/10.2307/1913210
30
Lou, X., ve Sadka, R. (2011). Liquidity level or liquidity risk? Evidence from the financial crisis. Financial Analysts Journal , 67 (3), 51–62. https://doi.org/10.2469/faj.v67.n3.5
31
Mazur, M., Dang, M. ve Vega, M. (2021). COVID-19 and the march 2020 stock market crash. Evidence from SP1500. Finance Research Letters , 38 , 101690. https://doi.org/10.1016/j.frl.2020.101690
32
Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. The Journal of Finance, 42 (3), 483–510. https://doi.org/10.1111/j.1540-6261.1987.tb04565.x
33
Muir, T. (2017). Financial crises and risk premia. The Quarterly Journal of Economics, 132 (2), 765–809. https://doi.org/10.1093/qje/qjw045
34
Nagel, S. (2012). Evaporating liquidity. The Review of Financial Studies , 25 (7), 2005–2039. https://doi.org/10.1093/rfs/hhs066
35
Newey, W. K. ve West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelationconsistent covariance matrix. Econometrica , 55 (3), 703–708. https://doi.org/10.2307/1913610
36
Nikolaou, K. (2009). Liquidity (risk) concepts: definitions and interactions. European Central Bank Working Paper No. 1008. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1008.pdf
37
Núñez-Mora, J. A., Santillán-Salgado, R. J. ve Contreras-Valdez, M. I. (2022). COVID asymmetric impact on the risk premium of developed and emerging countries’ stock markets. Mathematics , 10 (9), 1353. https://doi.org/10.3390/math10091353
38
Ramelli, S. ve Wagner, A. F. (2020). Feverish stock price reactions to COVID-19. The Review of Corporate Finance Studies, 9 (3), 622–655. https://doi.org/10.1093/rcfs/cfaa012
39
Rezaei, E. ve Tahernia, A. (2013). The relationship between the percentages of free float shares and liquidity of shares in the companies accepted in Tehran Stock Exchange. African Journal of Business Management , 7 (37), 3790. https://doi.org/10.5897/AJBM12.373
40
Roulstone, D. T. (2003). Analyst following and market liquidity. Contemporary Accounting Research , 20 (3), 552–578. https://doi.org/10.1506/X45Y-PMH7-PNYK-4ET1
41
Rösch, C. G. ve Kaserer, C. (2014). Reprint of: market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality. Journal of Banking ve Finance , 45 , 152-170. https://doi.org/10.1016/j.jbankfin.2014.06.010
42
Rubin, A. (2007). Ownership level, ownership concentration and liquidity. Journal of Financial Markets , 10 (3), 219–248. https://doi.org/10.1016/j.finmar.2007.04.002
43
Stoll, H. R. (2000). Presidential address: Friction. The Journal of Finance, 55 (4), 1479–1514. https://doi.org/10.1111/0022-1082.00259
44
Süsay Alkan, A. (2024). Yerli ve yabancı yatırımcıların Borsa İstanbul’un piyasa etkinliğine etkisi: Fourier eşbütünleşme yaklaşımı. Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi E-Dergi , 13 (1), 66–81. https://doi.org/10.47934/tife.13.01.05
45
Süsay Alkan, A. (2025). Yabancı yatırımcıların portföy değerleri üzerinde likidite, ülke kredi riski ve döviz kuru etkisi. Kastamonu University Journal of Faculty of Economics and Administrative Sciences , 27 (1), 194–207. https://doi.org/10.21180/iibfdkastamonu.1579497
46
Vural, G. ve Nas, S. (2021). Covid-19 küresel salgınının Borsa İstanbul’un çeşitlendirme potansiyeline etkisi: Bist 100 ve Bist 30’daki pay senetleri üzerine bir araştırma. Tarsus Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi , 2 (2), 1–16.
47
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica , 48 (4), 817–838. https://doi.org/10.2307/1912934
48
World Health Organization. (2020, March 11). WHO Director-General’s opening remarks at the media briefing on COVID-19–11 March 2020. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020