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      How do Japanese Banks Differ Based on Liquidity Creation?

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      ScienceOpen Preprints
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      liquidity creation, Japanese banks, bank performance
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            Abstract

            This paper compares Japanese banks in terms of liquidity creation (LC). For this intent, three groups of banks were created using K-means clustering on a panel data of 1,254 observation-years, spanning from 2002 to 2020. The results showed that although large banks hold more than half of total banks' assets, in 2009 they were overtaken by medium banks in terms of LC. The random-effect regression model shows that bank size and the proportion of lending activity are the only variables that affect simultaneously (and positively) all groups of banks. Furthermore, medium and small banks are more efficient at creating liquidity with the assets at hand and respond positively to expansionary monetary policy. Therefore, the paper argues that medium banks should be incentivized to increase the size of their assets as by doing so more liquidity would be flowing to the market thus spurring the economic growth.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            6 May 2022
            Affiliations
            [1 ] Institute of Business and Accounting, Kwansei Gakuin University, 1-155 Nishinomiya Uegahara, Hyogo, Japan
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PPYPW68.v1
            481eb8da-4a71-4e9e-a691-9b90c27cdad9

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            The datasets generated during and/or analysed during the current study are available in the repository: https://www.zenginkyo.or.jp/en/stats/year2-01/
            Financial economics,Time series,Risk management,Regression analysis,Quantitative finance
            liquidity creation,bank performance,Japanese banks

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