Does bank capital affect the monetary policy transmission mechanism? A case study of Emerging Market Economies (EMEs)

Abbas, Zia; Iftikhar, Syed Faizan; Alam, Shaista

doi:10.1142/s2424786319500191

Cited by 2 publications

(1 citation statement)

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“…The study found that external debt adversely affects economic growth. Abbas et al (2019), in a study on emerging economies on a data set of six years from Pakistan, found that excess capital is good for an economy. This association is more relevant to low assets countries since high asset countries have other options to generate income.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Various Channels of Monetary Policy Transmission Mechanism: The Case of Pakistan

Ghauri

Hamid

Zaman

2022

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This paper analyzes Pakistan's monetary policy transmission mechanism by considering these channels: Interest rate Channel, Credit Channel, and Risk channel. In this study, an innovative channel, Risk Channel, is introduced to measure its impact on the monetary policy transmission mechanism by covering the annual time data from 1995 to 2020for Pakistan. This paper aims to examine the long-run and the short-run relationship between foreign debt, bank capital, and monetary policy transmission mechanism. To fulfill this objective, we intended to use Autoregressive Distributed Lag (ARDL) model to investigate long-run and short-run relations. As per the result, the risk channel represents that it is not following the cointegration benchmark. The coefficient is negative, but the probability is more significant than 0.05, which is statistically insignificant; therefore, there is no long-run relationship between the model variables. The interest rate channel represents that it ensures the benchmark of cointegration as the coefficient is negative, but the probability is less than 0.05, which is statistically significant; therefore, there is a long-run relationship between variables for the model. The credit channel represents that it ensures the cointegration benchmark as the coefficient is negative and statistically significant at 90%; therefore, there is a long-run relationship between variables for the model. However, the study concluded that risk channel has short-term relation and interest rate& credit channels have short-term and long-term relationships.

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Section: Literature Reviewmentioning

confidence: 99%