Factors affecting liquidity on banking sector : a study of Nepalese commercial bank
Ghimire, Krishna (2021-11-17)
K. Ghimire
17.11.2021
© 2021 Krishna Ghimire. Tämä Kohde on tekijänoikeuden ja/tai lähioikeuksien suojaama. Voit käyttää Kohdetta käyttöösi sovellettavan tekijänoikeutta ja lähioikeuksia koskevan lainsäädännön sallimilla tavoilla. Muunlaista käyttöä varten tarvitset oikeudenhaltijoiden luvan.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202111179174
https://urn.fi/URN:NBN:fi:oulu-202111179174
Tiivistelmä
Purpose. The study focuses on the factors affecting liquidity on Nepalese commercial banks over a time span of fiscal year 2010/11 to 2019/20, which is a ten-year period also denoted as 2011 to 2020.
Methodology. The research design used in this study is a descriptive and comparative method to the issues associated with dependent and independent variables related to bank specific and macroeconomic variables. The correlation and regression analysis is used in the study to show the impact of liquidity of assets and deposits to other variables.
Finding. The result of our study depicts that using correlation ROA, CAR, INF, and TB have a positive correlation whereas NPL, GDP, and BS has negative correlation with liquidity of assets and deposits. However, the value of correlation provides an indication of the strength of relationship. Moreover, using regression analysis BS is significant to explain our study’s liquidity (assets and deposits).
The originality of data. The data used in this studies are from the Nepal Rastra banks website which is the regulatory body for all banking systems in Nepal.
Methodology. The research design used in this study is a descriptive and comparative method to the issues associated with dependent and independent variables related to bank specific and macroeconomic variables. The correlation and regression analysis is used in the study to show the impact of liquidity of assets and deposits to other variables.
Finding. The result of our study depicts that using correlation ROA, CAR, INF, and TB have a positive correlation whereas NPL, GDP, and BS has negative correlation with liquidity of assets and deposits. However, the value of correlation provides an indication of the strength of relationship. Moreover, using regression analysis BS is significant to explain our study’s liquidity (assets and deposits).
The originality of data. The data used in this studies are from the Nepal Rastra banks website which is the regulatory body for all banking systems in Nepal.
Kokoelmat
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