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Application Research on Dynamic Liquidity Risk Stress Test of Commercial Banks Based on Gravity Model

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DOI: 10.23977/ferm.2021.040305 | Downloads: 7 | Views: 151


Xu LIAO 1, Ziyu Zhou 1


1 School of Business Administration, Northeastern University, Shenyang, Liaoning, 111004, China

Corresponding Author



Dynamic liquidity risk is the most fundamental risk faced by banks. Stress testing is a quantitative analysis method for tail risks. Among various dynamic liquidity risk management tools, liquidity stress testing is a very effective management tool, and its in-depth study will help commercial banks fully understand the degree of losses they will suffer in future extreme events. On the basis of establishing the gravity model of assets and liabilities, this paper takes commercial banks as the research object and the excess deposit reserve ratio as the index to measure the dynamic liquidity risk, and makes an empirical study on the liquidity stress test of commercial banks, and analyzes the empirical results of stress test in detail. According to the results of stress test, this paper gives the countermeasures of dynamic liquidity risk management of commercial banks from three angles.


Gravity model, Commercial banks, Dynamic liquidity risk, Stress testing


Xu LIAO, Ziyu Zhou. Application Research on Dynamic Liquidity Risk Stress Test of Commercial Banks Based on Gravity Model. Financial Engineering and Risk Management (2021) 4: 35-40. DOI:


[1] Zheng Jinyu and Han Xiaoyu.Five Challenges of Commercial Bank on Liquidity Risk Supervision. banker, no. 007, pp. 14-17, 2019.
[2] Bobakulov, B. ACTUAL ISSUES OF PROVIDING LIQUIDITY OF COMMERCIAL BANKS. International Finance and Accounting, vol. 2018, no. 1, pp. 6-6, 2018.
[3] Bai J,  Krishnamurthy A,  Weymuller C H. Measuring Liquidity Mismatch in the Banking Sector. Journal of Finance,vol. 73, no. 1, pp. 51-93, 2018.
[4] Li B,  Xiong W,  Chen L,  et al. The impact of the liquidity coverage ratio on money creation: A stock-flow based dynamic approach. Economic Modelling, no. 67,pp. 193-202, 2017.
[5] Krichene, Aida. Using a naive Bayesian classifier methodology for loan risk assessment: Evidence from a Tunisian commercial bank. Journal of Economics Finance & Administrative Science, vol. 22, no. 42, pp. 3-24, 2017.
[6] Huang Hongxing. The situation and difference of liquidity risk management in commercial banks. Bankers, no. 007, pp. 18-20, 2019.
[7] Liu Ruiwen, Huang Hongbin, Cao Lisha, et al. Empirical Study on Internal Control Effect of the State-owned Commercial Bank in Promoting Risk Prevention. journal of hunan finance and economics university, vol. 033, no. 006, pp. 30-38, 201.
[8] Zhong H. Commercial Bank Ownership Structure and Risk Preference. Journal of Mathematical Finance, vol. 7, no. 2, pp. 437-444, 2017.

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