scholarly journals Monetary Policy and Inventory Investment: Panel Data Evidence from China

2018 ◽  
Author(s):  
Yuxin Ning ◽  
Huanying Wang
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Inventory Investment

Bank lending channel and banking sector efficiency: panel data of Egypt

2018 ◽  
Vol 13 (5) ◽  
pp. 1291-1310 ◽  
Author(s):  
Mohamed Aseel Shokr ◽  
Anwar Al-Gasaymeh
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Bank Lending ◽  
Bank Loan ◽  
Bank Lending Channel ◽  
Bank Efficiency ◽  
Content Type ◽  
Lending Channel

Purpose The purpose of this paper is to examine the relevance of the bank lending channel (BLC) of monetary policy and the bank efficiency in Egypt. Design/methodology/approach This paper examines the effectiveness of bank lending channel using generalized method of moments GMM model during the period from 1996 to 2014. Also, it uses stochastic frontier approach (SFA) to examine the bank efficiency in Egypt. Findings This study supports the relevance of the BLC using panel data. Moreover, applying SFA, this paper computes cost efficiency taking account of both time and country effects directly. The finding suggests that banks with low inflation and high GDP tend to perform more efficiently. Research limitations/implications The limitation of the study is examining one country only. Practical implications The finding signals that the Central Bank of Egypt (CBE) should adjust interest rate in order to stabilize the bank loan supply. Social implications It is important for the CBE and Egyptian banks because it highlights the importance of BLC. Originality/value It examines one channel of monetary policy and bank efficiency in Egypt.

Central bank transparency, inflation targeting and monetary policy: a panel data approach

2018 ◽  
Vol 45 (6) ◽  
pp. 1159-1174 ◽  
Author(s):  
Gabriel Caldas Montes ◽  
Cristiane Gea
Keyword(s):  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Interest Rate ◽  
Central Bank ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Content Type ◽  
Central Bank Transparency ◽  
Policy Interest

Purpose The evidence concerning the effects of the inflation targeting (IT) regime as well as greater central bank transparency on monetary policy interest rates is not conclusive, and the following questions remain open. What is the effect of adopting IT on both the level and volatility of monetary policy interest rate? Does central bank transparency affect the level of the monetary policy interest rate and its volatility? Are these effects greater in developing countries? The purpose of this paper is to contribute to the literature by answering these questions. Hence, the paper analyzes the effects of IT and central bank transparency on monetary policy. Design/methodology/approach The analysis uses a sample of 48 countries (31 developing) comprising the period between 1998 and 2014. Based on panel data methodology, estimates are made for the full sample, and then for the sample of developing countries. Findings Countries that adopt the IT regime tend to have lower levels of monetary policy interest rates, as well as lower interest rate volatility. The effect of adopting IT on both the level and volatility of the basic interest rate is smaller in developing countries. Besides, countries with more transparent central banks have lower levels of monetary policy interest rates, as well as lower interest rate volatility. In turn, the effect of central bank transparency on both the level and volatility of the basic interest rate is greater in developing countries. Practical implications The study brings important practical implications regarding the influence of both the IT regime and central bank transparency on monetary policy. Originality/value Studies have sought to analyze whether IT and central bank transparency are effective to control inflation. However, few studies analyze the influence of IT and central bank transparency on interest rates. This study differs from the few existing studies since: the analysis is done not only for the effect of transparency on the level of the monetary policy interest rate, but also on its volatility; the central bank transparency index that is used has never been utilized in this sort of analysis; and the study uses panel data methodology, and compares the results between different samples.

Determinants of Non-Performing Assets of Commercial Banks in India

2021 ◽  
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Commercial Banks ◽  
Financial Stability ◽  
Policy Effectiveness ◽  
Credit Growth ◽  
Dynamic Provisioning ◽  
The Past ◽  
Economic Slowdown ◽  
Monetary Policy Effectiveness

Banks’ credit growth continues to decelerate in India due to huge non-performing assets (NPAs) overhangs in banks. Using the panel data methodology, this study empirically analyzed the determinants of NPAs of scheduled commercial banks in India during 2009-2020. Results indicated that the excessive credit growth in the past increased the surge in the current NPAS. The economic slowdown also aggravated loan delinquencies in Indian commercial banks. While higher priority sector lending created higher loan delinquencies, higher banks size and higher profitability reduced it. This study suggested that counter capital buffer, dynamic provisioning and a sound credit appraisal NPA improved the financial stability and monetary policy effectiveness. These findings are useful for policymakers, bankers and other stakeholders to make appropriate strategies to resolve the NPA issue in India.

The impacts of sector growth and monetary policy on income inequality in developing countries

2019 ◽  
Vol 46 (3) ◽  
pp. 591-610 ◽  
Author(s):  
Sima Siami-Namini ◽  
Darren Hudson
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Income Inequality ◽  
Nonlinear Effect ◽  
Service Sector ◽  
Functional Form ◽  
Content Type ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of growth in different sectors of the economy of developing countries on income inequality and analyze how inflation, as a proxy for monetary policy, makes a proportionate contribution for setting a binding national target for reducing income inequality. The paper examines the existence of a linear or nonlinear effect of inflation and sectoral economic growth on income inequality using a balanced panel data of 92 developing countries for the period of 1990–2014.Design/methodology/approachMethods section includes several steps as below: first, the functional form of the model using panel data for investigating the contribution of economic sectors in income inequality; second, to estimate the relationship between income inequality and sector growth: testing the Kuznets hypothesis; third, to estimate the relationship between inflation and income inequality base on general functional form of the model proposed by Amornthum (2004); fourth, a panel Granger causality analysis based on a VECM approach.FindingsThe statistically significant finding shows that first agricultural growth and then industrial growth have a dominate impact in reducing income inequality in our sample. But, the service sector growth has positive effects. The results confirm the existence of Kuznets inverted “U” hypothesis for industry growth and Kuznets “U” hypothesis for service sector growth. The findings show that sector growth and inflation affect income inequality in the long-run.Originality/valueThis research is an original paper which analyzes the effect of growth in different sectors of the economy of developing countries (agriculture, manufacturing and services sectors) on income inequality and test the Kuznets hypothesis in terms of sector growth and at the same time, examine the existence of a linear/nonlinear effect of inflation and sectoral economic growth on income inequality and test Granger causality relationship between income inequality and sector growth and inflation.

Trade Credit and the Effect of Macro-Financial Shocks: Evidence from U.S. Panel Data

2005 ◽  
Vol 40 (4) ◽  
pp. 897-925 ◽  
Author(s):  
Woon Gyu Choi ◽  
Yungsan Kim
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Trade Credit ◽  
Comparison Group ◽  
Large Firms ◽  
Financial Shocks ◽  
Accounts Receivable ◽  
Accounts Payable

AbstractUsing disaggregated panel data, we examine how firms change trade credit in response to a monetary tightening. We find that both accounts payable and accounts receivable increase with tighter monetary policy, implying that trade credit helps firms absorb the effect of a credit contraction. Further, both S&P 500 firms and a comparison group of smaller firms increase net trade credit (accounts receivable minus payable), making up for the reduced liquidity associated with tighter policy. However, we find no evidence that large firms play this role more actively than smaller firms.

scholarly journals Sources of Inaction in Household Finance: Evidence from the Danish Mortgage Market

2020 ◽  
Vol 110 (10) ◽  
pp. 3184-3230 ◽  
Author(s):  
Steffen Andersen ◽  
John Y. Campbell ◽  
Kasper Meisner Nielsen ◽  
Tarun Ramadorai
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Household Finance ◽  
Information Gathering ◽  
Mortgage Market ◽  
Lower Probability ◽  
Policy Transmission ◽  
Mortgage Refinancing ◽  
Refinancing Costs ◽  
And Behavior

We build an empirical model to attribute delays in mortgage refinancing to psychological costs inhibiting refinancing until incentives are sufficiently strong; and behavior, potentially attributable to information-gathering costs, lowering the probability of household refinancing per unit time at any incentive. We estimate the model on administrative panel data from Denmark, where mortgage refinancing without cash-out is unconstrained. Middle-aged and wealthy households act as if they have high psychological refinancing costs; but older, poorer, and less-educated households refinance with lower probability irrespective of incentives, thereby achieving lower savings. We use the model to understand frictions in the mortgage channel of monetary policy transmission. (JEL E52, G21, G51, R31)

The effects of monetary policy on input inventories

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Tiantian Dai ◽  
Xiangbo Liu ◽  
Wei Sun
Keyword(s):  
Monetary Policy ◽  
Aggregate Fluctuations ◽  
Search Frictions ◽  
Real Effects ◽  
Long Run ◽  
Extensive And Intensive Margins ◽  
Inventory Investment ◽  
The Us ◽  
Goods Market ◽  
Short Run

Abstract This paper explores both the long-run and short-run effects of monetary policy on input inventories in a search model with monetary propagation and two-stage production. Inventories arise endogenously due to search frictions. In the long run, we analytically show that an increase in the money growth rate has hump-shaped real effects on steady-state input inventory investment, input inventory-to-sales ratio as well as sales. These effects are driven by both the extensive and intensive margins in the finished goods market. We then calibrate the model to the US data to study the short-run effects of monetary policy. We first show that our model can reproduce the stylized facts of input inventories quite well and then find that input inventories amplify aggregate fluctuations over business cycles.

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