COVID-19 and liquidity risk, exploring the relationship dynamics between liquidity cost and stock market returns

Jawad Saleemi; Jawad Saleemi

doi:10.3934/NAR.2021011

National Accounting Review

2021, Volume 3, Issue 2: 218-236. doi: 10.3934/NAR.2021011

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Research article

COVID-19 and liquidity risk, exploring the relationship dynamics between liquidity cost and stock market returns

Jawad Saleemi ^,

Department of Economics and Social Sciences, Universitat Politècnica De València, 46022 Valencia, Spain

Received: 08 January 2021 Accepted: 27 April 2021 Published: 28 April 2021
JEL Codes: G12, G01

The impact on economic aspects of the COVID-19 is continuing under discussion. This study unveils effects of the pandemic on relationship dynamics between liquidity cost and stock market returns. Using the time series and machine learning techniques, the analysis is based on the Dow Jones Industrial Average (DJI) index. If the entire dataset was examined, the liquidity cost was found to be positive and significantly related to the DJI index returns. From the VAR estimation, the market returns were significantly explained by past values of the liquidity cost. The statistical Granger-causality was also observed between variables. If the relationship was analyzed during peak restrictions, the results were changed. The liquidity cost was observed to be negative and insignificantly related to the DJI index returns. The market returns were not associated with lags of the liquidity cost. In addition, the Granger-causality was not found between variables. If effects associated with easing restrictions were examined, the liquidity cost was found to be positive and significantly associated with returns on the DJI index. Meanwhile, the returns were more sensitive to the liquidity cost. However, the market returns were not explained by lags of the liquidity cost. The liquidity cost did not Granger-cause returns. The findings suggest that the liquidity cost must be priced in returns due to the pandemic-related uncertainty.
- asset pricing,
- liquidity cost,
- stock market returns,
- Covid-19 impact
Citation: Jawad Saleemi. COVID-19 and liquidity risk, exploring the relationship dynamics between liquidity cost and stock market returns[J]. National Accounting Review, 2021, 3(2): 218-236. doi: 10.3934/NAR.2021011

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Abstract

The impact on economic aspects of the COVID-19 is continuing under discussion. This study unveils effects of the pandemic on relationship dynamics between liquidity cost and stock market returns. Using the time series and machine learning techniques, the analysis is based on the Dow Jones Industrial Average (DJI) index. If the entire dataset was examined, the liquidity cost was found to be positive and significantly related to the DJI index returns. From the VAR estimation, the market returns were significantly explained by past values of the liquidity cost. The statistical Granger-causality was also observed between variables. If the relationship was analyzed during peak restrictions, the results were changed. The liquidity cost was observed to be negative and insignificantly related to the DJI index returns. The market returns were not associated with lags of the liquidity cost. In addition, the Granger-causality was not found between variables. If effects associated with easing restrictions were examined, the liquidity cost was found to be positive and significantly associated with returns on the DJI index. Meanwhile, the returns were more sensitive to the liquidity cost. However, the market returns were not explained by lags of the liquidity cost. The liquidity cost did not Granger-cause returns. The findings suggest that the liquidity cost must be priced in returns due to the pandemic-related uncertainty.

References

[1]	Acharya VV, Pedersen LH (2005) Asset pricing with liquidity risk. J Financ Econ 77: 375-410. doi: 10.1016/j.jfineco.2004.06.007
[2]	Al-Awadhi AM, Alsaifi K, Al-Awadhi A, et al. (2020) Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns. J Behav Exper Financ 27: 100326. doi: 10.1016/j.jbef.2020.100326
[3]	Amihud Y, Mendelson H (1989) The Effects of Beta, Bid-Ask Spread, Residual Risk, and Size on Stock Returns. J Financ 44: 479-486. doi: 10.1111/j.1540-6261.1989.tb05067.x
[4]	Amihud Y, Mendelson H (1991) Liquidity, Maturity, and the Yields on U.S. Treasury Securities. J Financ 46: 1411-1425. doi: 10.1111/j.1540-6261.1991.tb04623.x
[5]	Amihud Y, Hameed A, Kang W, et al. (2015) The Illiquidity Premium: International Evidence. J Financ Econ 117: 350-368. doi: 10.1016/j.jfineco.2015.04.005
[6]	Amihud Y, Mendelson H, Lauterbach B (1997) Market microstructure and securities values: Evidence from the Tel Aviv Stock Exchange. J Financ Econ 45: 365-390. doi: 10.1016/S0304-405X(97)00021-4
[7]	Aparicio FM, Estrada J (2001) Empirical distributions of stock returns: European securities markets. Eur J Financ 7: 1-21. doi: 10.1080/13518470121786
[8]	Bekaert G, Harvey CR, Lundblad C (2007) Liquidity and Expected Returns: Lessons from Emerging Markets. Rev Financ Stud 20: 1783-1831. doi: 10.1093/rfs/hhm030
[9]	Brennan MJ, Chordia T, Subrahmanyam A (1998) Alternative factor specifications, security characteristics, and the cross-section of expected stock returns. J Financ Econ 49: 345-373. doi: 10.1016/S0304-405X(98)00028-2
[10]	Cervelló-Royo R, Guijarro F (2020) Forecasting stock market trend: a comparison of machine learning algorithms. Financ Mark Valuat 6: 37-49. doi: 10.46503/NLUF8557
[11]	Chiang TC, Zheng D (2015) Liquidity and stock returns: Evidence from international markets. Glob Financ J 27: 73-97. doi: 10.1016/j.gfj.2015.04.005
[12]	Chikore R, Gachira W, Nkomo D, et al. (2014) Stock liquidity and returns: Evidence from Zimbabwe Stock Exchange. Interdiscip J Contemp Res Bus 6: 20-35.
[13]	Corwin SA, Schultz P (2012) A Simple Way to Estimate Bid-Ask Spreads from Daily High and Low Prices. J Financ 67: 719-760. doi: 10.1111/j.1540-6261.2012.01729.x
[14]	David SA, Inácio Jr CMC, Machado JAT (2021) The recovery of global stock markets indices after impacts due to pandemics. Res Inter Bus Financ 55: 101335. doi: 10.1016/j.ribaf.2020.101335
[15]	Degennaro R, Robotti C (2007) Financial Market Frictions. Econ Rev 92: 1-16.
[16]	Demsetz H (1968) The Cost of Transacting. Q J Econ 82: 33-53. doi: 10.2307/1882244
[17]	Dinh MT (2017) The returns, risk and liquidity relationship in high frequency trading: Evidence from the Oslo stock market. Res Inter Bus Financ 39: 30-40. doi: 10.1016/j.ribaf.2016.07.013
[18]	Easley D, O'Hara M (2004). Information and the cost of capital. J Financ 59: 1553-1583. doi: 10.1111/j.1540-6261.2004.00672.x
[19]	Glosten LR, Milgrom PR (1985) Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. J Financ Econ 14: 71-100. doi: 10.1016/0304-405X(85)90044-3
[20]	Goodell JW (2020) COVID-19 and finance: Agendas for future research. Financ Res Lett 35: 101512. doi: 10.1016/j.frl.2020.101512
[21]	Gorton G, Metrick A (2010) Haircuts. Fed Reserve Bank St Louis Rev 92: 507-520.
[22]	Goyenko RY, Holden CW, Trzcinka CA (2009) Do liquidity measures measure liquidity? J Financ Econ 92: 153-181. doi: 10.1016/j.jfineco.2008.06.002
[23]	Gubareva M (2020) The impact of Covid-19 on liquidity of emerging market bonds. Financ Res Lett, 101826.
[24]	Guijarro F, Moya-Clemente I, Saleemi J (2019) Liquidity Risk and Investors' Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S & P500 Index. Sustainability 11: 7048. doi: 10.3390/su11247048
[25]	Haroon O, Rizvi SAR (2020) Flatten the Curve and Stock Market Liquidity—An Inquiry into Emerging Economies. Emerg Mark Financ Trade 56: 2151-2161. doi: 10.1080/1540496X.2020.1784716
[26]	Hartian KR, Sitorus RE (2015) Liquidity and Returns: Evidences from Stock Indexes around the World. Asian Econ Financ Rev 5: 33-45. doi: 10.18488/journal.aefr/2015.5.1/102.1.33.45
[27]	Hasbrouck J (2009) Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data. J Financ 64: 1445-1477. doi: 10.1111/j.1540-6261.2009.01469.x
[28]	Hicks JR (1962) Liquidity. Econ J 72: 787-802. doi: 10.2307/2228351
[29]	Ho T, Stoll H (1981) Optimal dealer pricing under transactions and return uncertainty. J Financ Econ 9: 47-73. doi: 10.1016/0304-405X(81)90020-9
[30]	Jacoby G, Fowler D, Gottesman AA (2000) The capital asset pricing model and the liquidity effect: A theoretical approach. J Financ Mark 3: 69-81. doi: 10.1016/S1386-4181(99)00013-0
[31]	Just M, Echaust K (2020) Stock market returns, volatility, correlation and liquidity during the COVID-19 crisis: Evidence from the Markov switching approach. Financ Res Lett 37: 101775. doi: 10.1016/j.frl.2020.101775
[32]	Korajczyk RA, Sadka R (2008) Pricing the commonality across alternative measures of liquidity. J Financ Econ 87: 45-72. doi: 10.1016/j.jfineco.2006.12.003
[33]	Lam KS, Tam LH (2011) Liquidity and asset pricing: Evidence from the Hong Kong stock market. J Bank Financ 35: 2217-2230. doi: 10.1016/j.jbankfin.2011.01.015
[34]	Le H, Gregoriou A (2020) How do you capture liquidity? A review of the literature on Low-frequency stock liquidity. J Econ Surveys 34: 1170-1186. doi: 10.1111/joes.12385
[35]	Leirvik T, Fiskerstrand SR, Fjellvikå s AB (2017) Market liquidity and stock returns in the Norwegian stock market. Financ Res Lett 21: 272-276. doi: 10.1016/j.frl.2016.12.033
[36]	Liu W (2006) A liquidity-augmented capital asset pricing model. J Financ Econ 82: 631-671. doi: 10.1016/j.jfineco.2005.10.001
[37]	Lybek T, Sarr A (2002) Measuring liquidity in financial markets. Inter Mon Fund 2: 1-64.
[38]	Marozva G (2019) Liquidity and Stock Returns: New Evidence From Johannesburg Stock Exchange. J Devel Areas 53: 79-90.
[39]	Norli Ø, Ostergaard C, Schindele I (2015) Liquidity and Shareholder Activism. Rev Financ Stud 28: 486-520. doi: 10.1093/rfs/hhu070
[40]	Pástor Ľ, Stambaugh RF (2003) Liquidity Risk and Expected Stock Returns. J Pol Econ 111: 642-685. doi: 10.1086/374184
[41]	Roll R (1984) A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market. J Financ 39: 1127-1139. doi: 10.1111/j.1540-6261.1984.tb03897.x
[42]	Saleemi J (2014) An Empirical Analysis of Cost-Based Market Liquidity Measures for US & Norwegian Banks. Universitetet I Nordland.
[43]	Saleemi J (2020a) In COVID-19 outbreak, correlating the cost-based market liquidity risk to microblogging sentiment indicators. Nation Account Rev 2: 249-262.
[44]	Saleemi J (2020b). An estimation of cost-based market liquidity from daily high, low and close prices. Financ Mark Valuat 6: 1-11. doi: 10.46503/VUTL1758
[45]	Schnabel I, Shin HS (2004) Liquidity and Contagion: The Crisis of 1763. J Europ Econ Assoc 2: 929-968. doi: 10.1162/1542476042813887
[46]	Severo T (2012) Measuring Systemic Liquidity Risk and the Cost of Liquidity Insurance. Inter Mon Fund 12/194: 3-35.
[47]	Vo XV, Bui HT (2016) Liquidity, liquidity risk and stock returns: evidence from Vietnam. Inter J Mon Econ Financ 9: 67-89. doi: 10.1504/IJMEF.2016.074586
[48]	Vu V, Chai D, Do V (2015) Empirical tests on the liquidity-adjusted capital asset pricing model. Pacific-Basin Financ J 35: 73-89. doi: 10.1016/j.pacfin.2014.10.007
[49]	Zaremba A, Aharon DY, Demir E, et al. (2021) COVID-19, government policy responses, and stock market liquidity around the world: A note. Res Inter Bus Financ 56: 101359. doi: 10.1016/j.ribaf.2020.101359
[50]	Zhang D, Hu M, Ji Q (2020) Financial markets under the global pandemic of COVID19. Financ Res Lett 36: 101528. doi: 10.1016/j.frl.2020.101528

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