Impact of Macro Specific Factor and Bank Specific Factor on Bank Liquidity using FMOLS Approach

Macro-Specific Factors Bank-Specific Factors Banks Liquidity FMOLS.

Authors

  • Hamid Mahmood
    hamid.xjtu@gmail.com
    School of Economics and Finance, Xi'an Jiaotong University, Xi'an, Shaanxi,, China
  • Samia Khalid School of Economics and Finance, Xi'an Jiaotong University, Xi'an, Shaanxi,, China
  • Abdul Waheed Faculty of Business & Technology Foundation University Islamabad, Rawalpindi Campus,, Pakistan
  • Muhammad Arif Institute of Business & Management, University of Engineering & Technology, Lahore,, Pakistan
Vol. 3 No. 3 (2019): June
Research Articles

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By applying the fully modified ordinary least square (FMOLS), this study examines the impact of bank-specific factor and macro-specific factors on bank liquidity, for the period of 2000 to 2017. The bank specific factors include bank crises, bank size, total deposit, and profitability. While it considers a macro-specific factors GDP, inflation, monetary policy and unemployment. Findings reveal that based on time series data, we suggest that bank-specific and macro-specific factor significantly effect on bank liquidity. Empirical results reported that at 5 percent level of significance total deposit, GDP, bank size and unemployment have a negative impact on liquidity of the bank. While monetary policy, bank crisis and profitability have a positive impact on liquidity. Inflation has an insignificant relation with liquidity. The study reported new facts for increase more clear understanding of liquidity in a developing country like Pakistan.