THE ANALYSIS OF THE SECTOR OF RETAIL LENDING OF RUSSIAN BANKS DURING THE PANDEMIC PERIOD OF 2020

2021 ◽  
pp. 41-46
Author(s):  
E. P. Ramzaeva ◽  
◽  
O. V. Kravchenko ◽  
◽  
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Global Economy ◽  
Credit Rating ◽  
Significant Risk ◽  
Personal Credit ◽  
Debt Burden ◽  
Consumer Lending ◽  
Study Results ◽  
Key Indicators

Lending to the population is an essential part of the country’s economic system, its development in the global financial market. Due to the steady downward trend in economic growth and real incomes of the population, the spread of the coronavirus pandemic in the Russian Federation in 2020, the issue of fulfillment by the borrowers their obligations to banks became relevant. Many consumers of credit services were unable to fulfill their obligations in full and in due time, which led commercial banks to the most significant risk – credit one. The study considers the main aspects of the functioning of the Russian consumer lending market in the context of the lockdown of the global economy, analyzes the factors, which determined both the growth and contraction of the market under the pandemic influence. The study assessed the dynamic changes in key indicators determining the state of this economic sector in 2020. The authors analyzed the dynamics of granting retail credits and the dynamics of overdue debt. The paper considered the level of the debt burden of the population and the indicators of personal credit rating of borrowers – the main factors influencing the favorable decision on loan granting. Based on the study results, the authors conclude that the pandemic period did not cause severe damage to the retail lending sector. As the main trends of the current year, the study highlights toughening of the requirements on the part of commercial banks to borrowers, an increase in interest rates on credit products, and the improvement of payment discipline in the regions.

scholarly journals Determinants of Credit in Indonesia's Agricultural Sub-Sector: Panel Data Analysis

2021 ◽  
Vol 11 (1) ◽  
pp. 12
Author(s):  
Dini Yuniarti ◽  
Arif Sapto Yuniarto
Keyword(s):  
Gross Domestic Product ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Credit Rating ◽  
Panel Data Analysis ◽  
Financial Education ◽  
Domestic Product ◽  
Analysis Tool ◽  
Cross Sectional ◽  
Study Results

Credit has a role in agricultural development and the income of small farmers which will reduce poverty levels. However, the portion of credit in the agricultural sector is still relatively small. This study aims to examine  determinants of credit in the agricultural sub-sector. The factors include credit rating, credit interest rates, Gross Domestic Product and the number of farmers in the agricultural sub-sector. The data used are secondary data, a combination of cross-sectional data including the agricultural sub-sector, namely food crops, horticultural crops, plantations and livestock and seres times including 2011-2019. The analysis tool used is the regression data panel. The study results show that the number of creditors in the agricultural sector is positive and significant by the number of farmers and Gross Domestic Product, while interest does not affect the credit rating of the agricultural sub-sector. Policies that can be taken are to increase the Gross Domestic Product of the agricultural sector to increase the capacity of farmers. In addition, to increase farmers' access to financial institutions, financial education is needed, so that it will increase financial literacy.

EFFECT OF INTEREST RATES ON THE FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN KENYA

2017 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Kihara Duke Wambari ◽  
Dr.Mirie Mwangi
Keyword(s):  
Financial Performance ◽  
Interest Rates ◽  
Commercial Bank ◽  
Research Design ◽  
Commercial Banks ◽  
Rate Ratio ◽  
Liquidity Management ◽  
Study Results ◽  
Lending Rate ◽  
Asset Quality

Purpose: The purpose of this study was to analyse effect of interest rates on the financial performance of commercial banks in Kenya.Methodology:The study adopted anexplanatory research design. This study adopted a census research design; of all the 43 commercial banks in Kenya.The  study also used   secondary data.Multiple linear regression model was  used to analyze the data using statistical package for the social sciences (SPSS) version 20.Results:The study established that lending rate ratio influence the financial performance of commercial banks in a positive way. Deposit interest ratio on the other hand negatively affects performance of commercial banks. Liquidity management and liquidity management influence performance positively and negatively respectively. The study concluded that there is a positive significant relationship between lending rate ratio and financial performance of commercial banks. The study also arrived at the conclusion that deposit interest ratio negatively affects bank performance. Moreover, the study concluded that liquidity management and asset quality affect performance positively and negatively respectively.Unique contribution to theory, practice and policy:Following study results, itwasrecommended that commercial banks in Kenya should keenly manage their lending interest rates given that lending interest ratio is directly related to performance. The study also recommends that commercial banks need to monitor the interest on deposits carefully. The deposit interest ratio is negatively affects performance. It represents the main expense by any commercial bank and therefore for a commercial bank to be profitable, they must maintain a reasonable spread. Commercial banks must strive to raise deposits at reasonable rates in order to on lend to the customers. Commercial banks that attract deposits cheaply are able to advance loans cheaply and therefore attract more borrowers.It is recommended that banks should embrace prudent credit risk management to maintain appropriate asset quality. Credit information sharing and cross referencing with credit bureaus will ensure high risk borrowers are closely monitored. Such measure will result in a reduction of nonperforming loans improve the asset quality

scholarly journals Growth of Fixed Capital Investments in the Regional Economy by Increasing Debt Financing

2020 ◽  
Vol 16 ◽  
pp. 1348-1361
Author(s):  
Oleg M. Turygin
Keyword(s):  
Interest Rates ◽  
Financial Stability ◽  
Credit Rating ◽  
Debt Financing ◽  
Fixed Capital ◽  
Financial Resources ◽  
Capital Investments ◽  
Study Results ◽  
Potential Demand ◽  
Chelyabinsk Region

An increase in fixed capital investments is necessary for accelerating the growth of the Russian regions and the economy as a whole and requires increased financial resources. The paper considers the possibility of increasing financial resources of regional companies by attracting additional debt financing. The proposed methodology determines the potential demand for debt financing, considering the performance requirements ensuring financial stability. The paper analyses how an increase in debt financing influences credit rating of a company as well as the cost of debt financing attraction. Unlike other works, this paper considers the debt capital structure of companies. Additionally, the study proposes a methodology for identifying changes in the coefficient of interest coverage (that affects credit rating of companies) depending on various debt financing structures. The application of the developed methodology allowed determining the potential increase in debt financing, which is necessary for the investment of regional companies. Debt financing can increase by 1.7 times (43.5 trillion roubles) in Russia in general, 1.4 times in the Sverdlovsk region, 2 times in the Tyumen region, and 1.6 times in the Chelyabinsk region. There are no opportunities to increase debt financing in the Kurgan region. A reduction in interest rates on loans to non-financial companies allows expanding debt financing of the Russian economy without lowering the credit rating. The study results can be used to determine the potential demand for debt financing from companies, industries, regions and the economy as a whole. Further research may consider the validity of the policy of high interest rates on loans to non-financial companies for achieving high economic growth.

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

Technological Change in Turkish Manufacturing Industry: The Case of Gaziantep City

2017 ◽  
Vol 6 (1) ◽  
pp. 77
Author(s):  
Mehmet Ragıp KALELİOGLU
Keyword(s):  
Technological Change ◽  
Global Economy ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Work Force ◽  
Technological Transformation ◽  
Technological Infrastructure ◽  
Technological Level ◽  
Considerable Work ◽  
Key Indicators

:Ensuring competition in global economy, the production of high value products within the country and the reduction of current budget deficit; in other words, increasing the output of industries manufacturing intermediate goods and end products, which have high import dependency, are major targets of Turkey. The state of technological infrastructure of manufacturing industry in the country as well as the process of change that the industry undergoes are essential for the realization of these targets. New technologies play an important role in the competitiveness and economic development of cities, region and the country in the international market. In particular, the use of new technologies in manufacturing industry and companies’ capacity for innovation are prerequisites for businesses to enter a tougher competition in the global economy as well as for cities and countries to persevere on the larger scale. In this respect, the main purpose of this study is to examine the technological transformation of the manufacturing industry in Gaziantep, which is positioned in the top five among Turkey's exports and employs a considerable work force, in comparison to the technological change experienced by the manufacturing industry in Turkey. In the study, the technological level of manufacturing industry in Turkey and the technological change process of manufacturing industry in Gaziantep are presented between 2009-2016 with key indicators. The findings of this study reveal that the current level of technology the city of Gaziantep manufacturing industry has had is far behind the level Turkish manufacturing industry has reached.

scholarly journals Seaports during the COVID-19 Pandemic: The Terminal Operators’ Tactical Responses to Disruptions in Maritime Supply Chains

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4339
Author(s):  
Marta Mańkowska ◽  
Michał Pluciński ◽  
Izabela Kotowska ◽  
Ludmiła Filina-Dawidowicz
Keyword(s):  
Supply Chains ◽  
Global Economy ◽  
Research Study ◽  
Inductive Reasoning ◽  
Main Function ◽  
The Sustainable Development ◽  
Study Results ◽  
Multiple Case ◽  
Tactical Decisions

The world-wide crisis caused by the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on the global economy functioning and the sustainable development of supply chains. The changes also affected seaports being the key links of maritime supply chains. The purpose of the research study described in this article was to identify the sources and kinds of disruptions observed in various maritime supply chains as a result of the COVID-19 pandemic and their impact on the operations of various types of seaport terminals, namely those serving bulk (universal, specialised) and general cargoes (universal, specialised). An additional purpose was to identify the dependencies between the type of terminal and its main function, and the tactical decisions adopted by the particular terminals. The research was carried out using the multiple-case study method. The study covered some selected port terminals functioning in Polish seaports (Gdańsk, Szczecin, Świnoujście), applying direct, semi-structured in-depth interviews. The analysis of the results was carried out using the inductive reasoning method. The research study has shown that as a result of the COVID-19 pandemic some maritime supply chains ceased to exist, some of them were operating with decreased cargo volumes, while in other cases the transshipment volumes actually rose during the pandemic. Among terminal operators’ tactical responses to disruptions in maritime supply chains, there were pro-active and adaptive measures. Pro-active (offensive) measures included actions taken by an enterprise in order to engage in new maritime supply chains, and even participating in establishing new maritime chains in response to limitations caused by the pandemic. Adaptive (defensive) measures covered actions taken by the port terminals as a consequence of changes in the existing maritime supply chains, caused by the pandemic in the port’s foreland or hinterland. The research study results revealed that the terminals extent of engagement and tactical decisions related to the pandemic were depended on the type of terminal (universal or specialised) and its main function played within a supply chain.

scholarly journals Relationship of mammographic densities to breast cancer risk

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Mariam Raafat
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Statistical Significance ◽  
Significant Risk ◽  
Close Relation ◽  
Mammographic Screening ◽  
Mammographic Breast Density ◽  
Study Results ◽  
Relationship Of ◽  
Mammographic Densities

Abstract Background Our goal was to find out the relation between mammographic densities and cancer of the breast according to the recent ACR classification. From the medical records of Kasereliny Hospital, 49,409 women were subjected to digital mammography for screening, of which 1500 breast cancer cases were collected. The mammographic categories of breast density were ACR-A, B, C, and D, which were detected by two senior radiologists. All radiological classifications were made using both standard mammographic views bilaterally. Two-sided tests of statistical significance were represented by all the P values. Results From 2014 to 2019, 49,409 women came for digital mammographic screening, their age ranges between 40 and 65, and all of them are included in the study. One thousand cases of breast cancer cases were radiologically and pathologically diagnosed. Different densities were arranged in descending pattern depending on the frequency of positive cases: D (13.7%), C (3.3%), B (2.7%), A (2.2%). There is positive significant risk ratio among every higher mammographic density in comparison to the lower density. Conclusion Our study results show that the risk of breast cancer is in close relation to the mammographic breast density.

Volatility integration of gold and crude oil prices with the interest rates in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailesh Rastogi ◽  
Adesh Doifode ◽  
Jagjeevan Kanoujiya ◽  
Satyendra Pratap Singh
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Interest Rates ◽  
Global Economy ◽  
Spillover Effect ◽  
Price Volatility ◽  
Volatility Spillover ◽  
Content Type ◽  
Crude Oil Prices ◽  
The Impact

PurposeCrude oil, gold and interest rates are some of the key indicators of the health of domestic as well as global economy. The purpose of the study is to find the shock volatility and price volatility effects of gold and crude oil market on interest rates in India.Design/methodology/approachThis study finds the mutual and directional association of the volatility of gold, crude oil and interest rates in India. The bi-variate GARCH models (Diagonal VEC GARCH and BEKK GARCH) are applied on the sample data of gold price, crude oil price and yield (interest rate) gathered from November 30, 2015 to November 16, 2020 (weekly basis) to investigate the volatility association including the volatility spillover effect in the three markets.FindingsThe main findings of the study focus on having a long-term conditional correlation between gold and interest rates, but there is no evidence of volatility spillover from gold and crude oil on the interest rates. The findings of the study are of great importance especially to the policymakers, as they state that the fluctuations in prices of gold and crude oil do not adversely impact the interest rates in India. Therefore, the fluctuations in prices of gold and crude may generally impact the economy, but it has nothing to do with interest rate in particular. This implies that domestic and foreign investments in the country will not be affected by gold and crude oil that are largely driven by interest rates in the country.Practical implicationsGold and crude oil are two very important commodities that have their importance not only for domestic affairs but also for international business. They veritably influence the economy including forex exchange for any nation. In addition to this, the researchers believe the findings will provide insights to policymakers, stakeholders and investors.Originality/valueGold and crude oil undoubtedly influence the exchange rates but their impact on the interest rates in an economy is not definite and remains ambiguous owing to the mixed findings of the studies. The lack of studies related to the impact of gold and crude oil on the interest rates, despite them being essentials for the health of any economy is the main motivation of this study. This study is novel as it investigates the volatility impact of crude oil and gold on interest rates and contributes to the existing literature with its findings.

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