scholarly journals Heterogeneity in the Relationship Between NPLs and Real Economy: Evidence from the Mongolian Banking System

2021 ◽  
Vol 10 (2) ◽  
pp. 133-155
Author(s):  
Enkhzaya Demid
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Manufacturing Sector ◽  
Banking System ◽  
Real Economy ◽  
Economic Sectors ◽  
Macroeconomic Shocks ◽  
Credit Quality ◽  
Loan Supply ◽  
The Relationship

Abstract The paper analyses the relationship between the banks’ credit risk and macroeconomic conditions by addressing the following questions; (i) How are macroeconomic shocks transmitted to lending risk depending on the ban-specific features? (ii) Are the effects of macroeconomic shocks different across the loan portfolios in various economic sectors? Unlike the common assumption in the literature, the empirical analysis considers banks’ heterogeneity and diversification across borrowers. It employs heterogeneous panel SVARs and standard SVAR models on a dataset from 2002. Q1 to 2019.Q1. The results suggest that the deterioration in credit quality is affected by both macroeconomic and bank-specific factors, with substantial heterogeneity in the magnitudes and timing in terms of the type of loans in various business sectors and bank characteristics. In particular, we find strong evidence of cyclical sensitivity of loan quality, and about 1/4 of banks’ NPLs increases stronger in response to the shocks to growth, exchange rate, interest rate, and profitability. The highly profitable banks tend to less engage in excessive risk-taking, resulting in lower NPLs, whereas the relation of asset size to NPLs is not significant for the sample. A growth shock plays a prominent role in explaining the variation of NPLs for the trade and mining sectors. Similarly, the loan supply shock is the main determinant for the construction sector’s NPLs, while the exchange rate shock is the most responsible for the manufacturing sector. The interest rate shock and exchange rate shock are the most effective factors on NPLs of consumer loans. Finally, the feedback effect of NPLs shows that deterioration of credit quality slows down economic growth.

scholarly journals Does the Interest Rate Form Business Cycle?

2019 ◽  
Vol 4 (1) ◽  
pp. 29-34
Author(s):  
Bijan Bidabad ◽  
Abul Hassan
Keyword(s):  
Interest Rate ◽  
Business Cycle ◽  
Interest Rates ◽  
Banking System ◽  
Real Economy ◽  
Short Term ◽  
The Usa ◽  
Rate Form ◽  
The Interest Rate

Dynamic structural behavior of depositor, bank and borrower and the role of banks in forming business cycle are investigated. We test the hypothesis that does banks behavior make oscillations in the economy through the interest rate. By dichotomizing banking activities into two markets of deposit and loan, we show that these two markets have non-synchronized structures, and this is why the money sector fluctuation starts. As a result, the fluctuation is transmitted to the real economy through saving and investment functions. Empirical results assert that in the USA, the banking system creates fluctuations in the money sector and real economy as well through short-term interest rates

scholarly journals MACROECONOMIC VARIABLES AND CAPITAL STRUCTURE: PUBLIC FINANCE AND INSURANCE IN LATIN AMERICA AND ASIA

2021 ◽  
Vol 9 (2) ◽  
pp. 133-142
Author(s):  
Caio Augusto Franco Lucas ◽  
Rafael Martins Noriller ◽  
Rosemar José Hall ◽  
Maria Aparecida Farias de Souza Nogueira ◽  
Ducineli Regis Botelho
Keyword(s):  
Public Finance ◽  
Latin America ◽  
Exchange Rate ◽  
Interest Rate ◽  
Capital Structure ◽  
Insurance Companies ◽  
Panel Analysis ◽  
Macroeconomic Variables ◽  
The Relationship ◽  
The Capital Structure

This article analyzes the relationship between macroeconomic variables and the capital structure of public finance and insurance companies in Latin America and Asia. The variables used were: Gross Domestic Product (GDP), Exchange Rate (ER), Interest Rate (%Δ IR), and Capital Structure (CS). Data were analyzed annually from 2010 to 2018 by static panel analysis and multiple regression using the Newey-West estimator. Interest rate and exchange rate were negatively correlated with CS. However, GDP was not significantly correlated with CS at 10% probability. It is concluded that macroeconomics interferes with the capital structure of financial institutions in Latin America and Asia.

scholarly journals Investigating the Economic and Financial Damage around Currency Peg Failures

2019 ◽  
Vol 12 (2) ◽  
pp. 92 ◽  
Author(s):  
Colin Ellis ◽  
Emilia Gyoerk
Keyword(s):  
Exchange Rate ◽  
Financial Stability ◽  
Currency Crises ◽  
Exchange Rate Regime ◽  
Banking Crisis ◽  
Banking System ◽  
Economic Damage ◽  
Real Economy ◽  
The Past ◽  
Floating Exchange Rate

The choice and structure of a country’s exchange rate regime has wide implications for the effectiveness and flexibility of monetary policy tools, as well as for economic and financial stability. We examine 21 instances where exchange rate pegs have been abandoned in the past, to gauge the potential economic damage associated with pegs failing. The sample includes major exchange rate shifts over the past thirty years, spanning from the Latin America currency crises of the 1990s to the peg abandonment in Egypt in 2016. Given the close interconnection of banks to the sovereign and the real economy, risks often flow through to, and can also be magnified by, the banking system. We therefore examine the interaction of currency peg abandonment with the occurrence of a banking crisis to investigate the different circumstances and impacts of exchange rate pegs failing. We have found that countries that simultaneously suffered a systemic banking crisis during the period of exchange rate regime shift also experienced significantly greater economic and financial damage following the adoption of a freely floating exchange rate. Nevertheless, regardless of whether there was a banking crisis, countries start showing signs of recovery after the same amount of time once the currency floated.

Macro Stress Testing of Indian Bank Groups

2017 ◽  
Vol 11 (4) ◽  
pp. 375-403
Author(s):  
Pami Dua ◽  
Hema Kapur
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Private Sector ◽  
Stress Testing ◽  
Inflation Rate ◽  
Output Growth ◽  
Foreign Banks ◽  
Credit Quality ◽  
The Impact

This study examines how various bank groups operating in India have fared macro stress events and conduct macro stress testing (MST) to trace the impact of certain macroeconomic stress scenarios on the credit quality of five Indian bank groups, that is, the State Bank of India (SBI) and its associates (SBGs), nationalised banks (NBs), old private sector banks (OPBs), new private sector banks (NPBs) and foreign banks (FBs), using panel data from 1997 to 2014. Credit quality is modelled as a function of both macroeconomic variables (output growth, interest rate, inflation rate and exchange rate) and idiosyncratic variables (profitability and size indicator of bank business activity). The model is estimated by employing a panel cointegration approach, and the impact of adverse scenarios on the estimated credit quality is computed. Empirical findings show that credit quality is pro-cyclical in nature and rises in the event of a slowdown in the economy. In general, the credit quality of Indian bank groups is found to be inversely and significantly related to the economy’s growth rate, inflation rate, exchange rate and profits of banks and positively and significantly related to the interest rate. Shock analysis also reveals that a downturn in the economy through certain adverse scenarios has a significant adverse impact on the credit quality. The shocks are quickly propagated across banks with substantial heterogeneities present in different bank groups. Thus, macroeconomic policy measures promoting growth with price stability are expected to impact credit quality positively. Further, measures at the bank level can improve credit quality by enhancing their profitability. JEL Classifications: C32, C58, E170, G21

scholarly journals Macroeconomic Dynamics and the Manufacturing Output in Nigeria

2018 ◽  
Vol 9 (2) ◽  
pp. 43-54 ◽  
Author(s):  
Adegbemi Babatunde Onakoya
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Manufacturing Sector ◽  
Percent Level ◽  
Negative Relationship ◽  
Preliminary Evaluation ◽  
Macroeconomic Factors ◽  
The Impact

AbstractThis paper examined the impact of the changes in the macroeconomic factors on the output of the manufacturing sector in Nigeria from 1981 to 2015. Preliminary evaluation of the data was conducted using both descriptive statistics and stationarity evaluation. The test indicated that not all the variables are normal. The occurrence of order integration at first level difference necessitated the deployment of the Johansen cointegration test. The findings revealed no short run association among manufacturing output and each of GDP, exchange rate, broad money supply and unemployment rate. Negative relationship existed amongst inflation rate, interest rate, exchange rate, broad money supply on one hand, and manufacturing output. The inflation rate and interest rate, were statistically insignificant. However, significant and positive relationship existed between GDP of the previous year and unemployment on the one hand and manufacturing output on the other, at 5 percent level. The results showed that manufacturing was a veritable engine of economic growth. The post estimation tests showed presence of serial correlation but evidence of heteroscedasticity existed which, made the model inefficient, but its estimator is still unbiased. The study recommended the harmonization of both fiscal and monetary policies for the attainment of macroeconomic stability and avoidance of rapid policy summersaults.

The dynamic linkage between exchange rate, stock price and interest rate in India

2017 ◽  
Vol 34 (3) ◽  
pp. 383-406 ◽  
Author(s):  
Malepati Jayashankar ◽  
Badri Narayan Rath
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Stock Return ◽  
Foreign Exchange Market ◽  
Empirical Relationship ◽  
Discrete Wavelet ◽  
Content Type ◽  
Causality Tests ◽  
The Relationship

Purpose The purpose of this study is to examine linkage between exchange rate, stock return and interest rate for India. Design/methodology/approach Using monthly data from January 2000 to December 2014, this study has scrutinized the linkage between exchange rate, stock return and interest rate using maximum overlap discrete wavelet transform (MODWT) which is very much appropriate when the variables are discrete in nature. Findings Our major findings indicate that the empirical relationship between these variables is not significant at lower scales. As we go on higher scales, there is a clear linkage between them, and three markets are associated with each other. Moreover, the direction and type of the relationship depends on the frequency bands, and finally with the help of Granger causality tests, we established a lead/lag relationship between stock price, exchange rate and interest rate. Research limitations/implications The linkage between stock market, foreign exchange market and money market in case of emerging countries like India is more relevant because negative or positive shocks affecting one market may be transmitted quickly to another through contagious effect. Originality/value Little attention has been given to examine the link between stock return, exchange rate and interest rate in India. This study adopts a more sophisticated MODWT approach for examining the cross-correlation and causality.

Sign in / Sign up

Export Citation Format

Share Document