scholarly journals Bank revenue diversification: its impact on risk and return in Brazilian banks

2019 ◽  
Vol 30 (79) ◽  
pp. 91-106
Author(s):  
Jorge H. L. Ferreira ◽  
Francisco A. M. Zanini ◽  
Tiago W. Alves
Keyword(s):  
Method Of Moments ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Bank Performance ◽  
Revenue Diversification ◽  
Dynamic Panel ◽  
Risk And Return ◽  
The Subject ◽  
The Impact

ABSTRACT The present study aims to determine the impact of bank revenue diversification on Brazilian banks’ risk and return. This strategy has been adopted by banks in several countries, including Brazil. In 2003, noninterest income accounted for 17.80% of the operating revenue of the banks analyzed, and in 2014, this share increased to 27.40%. While many studies have addressed the subject in American, European and Asian banks, it still has not been approached in a sample of Brazilian banks. Since the banking industry is a key variable for the financial system’s stability, it is important to study the factors that affect banks’ risk and return. We analyzed the sample for the period from 2003 to 2014, using dynamic panel data GMM (Generalized Method of Moments) to address endogeneity, heteroscedasticity and autocorrelation problems. Our main results show that noninterest income has a major role in the performance of the banks studied; our analysis of financial intermediation activities showed that loan operations produced better results than trading. Moreover, confirming the hypotheses proposed, noninterest income showed a generally positive impact on return and risk adjusted return for the banks studied. However, against our expectation, noninterest income showed a positive relationship with the risk of these banks (although not statistically significant). It is worth highlighting the control variables, i.e., real interest rate, GDP and bank growth, which were relevant in determining bank performance.

Does Bank Profitability Stimulate Economic Growth in the Arab Region?

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Omar Ghazy Aziz
Keyword(s):  
Financial Development ◽  
Method Of Moments ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Arab Countries ◽  
Return On Assets ◽  
Bank Profitability ◽  
Arab Region ◽  
Return On Equity ◽  
The Impact

AbstractThis study empirically investigates the impact of bank profitability, as a complementary measure of financial development, on growth in the Arab countries between 1985 and 2016. Using a generalized method of moments (GMM) estimation to test the impact of the bank profitability on growth, this study utilises two variables in the econometric model which are return on assets and return on equity. This study reveals that both variables of bank profitability are positive and significant. This confirms that the bank profitability, beside other financial development variables, has positive impact on the growth. This study points out some important implications based on this result.

scholarly journals Determinants of Basmati Exports from Pakistan: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 12-18
Author(s):  
Muhammad Munwar Hayat ◽  
Raheela Khatoon
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Trading Partner ◽  
Dummy Variable ◽  
Export Competitiveness ◽  
The Impact

This paper aims to estimate the impact of different factors of basmati exports from Pakistan to its trading partner. Results are obtained by using the Generalized Method of Moments (GMM) model and panel data methodology with a sample of 22 countries for the period of 2003-2019. To estimate the impact of different variables on basmati exports Generalized Method of Moments (GMM) model is used on the panel dataset. The results revealed that the inflation rate of Pakistan has a negative and significant effect on the export competitiveness of Pakistani basmati. The exchange rate of Pakistan has a positive and significant impact on the basmati export, the population of Pakistan has a negative and significant impact on basmati export. Basmati production in Pakistan also has a significant and negative impact on basmati export. The Gross Domestic Product (GDP) of Pakistan has a significant and positive impact on the basmati export while the GDP of the trading partner has a significant and negative impact on the basmati export. The dummy variable for joint border also has a positive and significant impact on basmati exports of Pakistan.

scholarly journals The Role of Urbanization Rate in the Relationship between Air Pollution and Health Expenditures: A Dynamic Panel Data Approach

2015 ◽  
Vol 53 ◽  
pp. 68-72 ◽  
Author(s):  
Maryam Fattahi
Keyword(s):  
Air Pollution ◽  
Generalized Method Of Moments ◽  
Health Expenditures ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Public And Private ◽  
Urbanization Rate ◽  
The Impact ◽  
The Relationship

One of the available challenges in areas of health economics is identification of the effective factors on health expenditures. Air pollution plays important role in the public and private health expenditure but most studies have ignored the role of this category in explanation of health expenditures. On the other hand, the impact of air pollution on health expenditures is influenced by several factors. This study intends to investigate the effect of air pollution on public and private health expenditures and to identify the urbanization rate factor affecting the relationship between air pollution and public and private health expenditures. Scope of the present study is developing countries over period of 1995-2011. We used a dynamic panel and Generalized Method of Moments method. The empirical results indicate that air pollution has positive and significant effect on public and private health expenditures. Also, the results imply that urbanization rate affecting the relationship between air pollution and health expenditures that urbanization rate plays a reinforcing role.

Analysis of Impact Factors of China's Carbon Dioxide Emissions

2012 ◽  
Vol 616-618 ◽  
pp. 1111-1114
Author(s):  
Xiao Yu Ma ◽  
Qiang Yi Li ◽  
Adili Tuergong
Keyword(s):  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
Impact Factors ◽  
Dynamic Panel ◽  
Consumption Structure ◽  
Current Period ◽  
Per Capita ◽  
The Impact

This paper estimates the quantity of CO2 emissions in 30 provinces of China covering the year from 1999 to 2010, combining static and dynamic panel data model.Meanwhile, we use instruments to control the endogeny of the two models, analyzing the impact factors of China's CO2 emissions comprehensively and objectively. The result shows that a inverted U-shaped relationship is found between per capita GDP and CO2 emissions per capita .And it means that the Environmental Kuznets Hypothesis is verified in China.And energy consumption structure, industrial structure and urbanization have a positive impact on China's CO2 emissions. The CO2 emissions of last period have a crucial impact on the emissions of current period.

scholarly journals The Effect of COVID-19 Pandemic on Corporate Dividend Policy in Indonesia: The Static and Dynamic Panel Data Approaches

Economies ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Georgina Maria Tinungki ◽  
Robiyanto Robiyanto ◽  
Powell Gian Hartono
Keyword(s):  
Panel Data ◽  
Dynamic Model ◽  
Method Of Moments ◽  
Capital Market ◽  
Dividend Policy ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Positive Signal ◽  
Dynamic Panel ◽  
The Capital Market

This research examines the effect of the crisis due to the COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used to collect data from corporates listed on the IDX from 2014 to 2020 and analyzed using static and dynamic panel data approaches. The fixed-effect models (FEM) were selected for the static panel data regression. Meanwhile, the first difference-generalized method of moments (FD-GMM) and system-generalized method of moments (SYS-GMM) were used for determine the robustness of the estimated dynamic panel data. The results showed that the crisis due to the pandemic led to higher dividend distribution on SYS-GMM. Furthermore, companies maintained the dividend level as a positive signal for investors which lifted the sluggish trade condition in the capital market. Profitability and previous year dividends positively affect dividend policy robustly. Furthermore, the results showed that age affects dividend policy on FD-GMM. Financial leverage has a robust effect, and firm size has an effect on FD-GMM in different directions, while investment opportunity does not affect dividend policy. Statistically, the FEM selected that violates the best linear unbiased estimation was proven to form parameters that were not much different from the estimates produced by the dynamic model, both from the coefficient of influence direction and significance, and the omitted variable bias occurs as evidenced in the robust test with dynamic model was solved. This research is also used as a reference for considering investors’ investment decisions in the new normal condition. Therefore, dividend policy can be considered as a positive signal to investors with the ability to stock trading activities in the capital market.

Financial constraints, bank concentration and SMEs: evidence from Pakistan

2015 ◽  
Vol 32 (4) ◽  
pp. 503-524 ◽  
Author(s):  
Abubakr Saeed ◽  
Muhammad Sameer
Keyword(s):  
Financial Constraints ◽  
Market Competition ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Financial Reforms ◽  
Content Type ◽  
Financial Firms ◽  
The Impact ◽  
Bank Concentration

Purpose – This paper aims to empirically investigate the impact of bank market concentration of financial constraints on firm investment. Design/methodology/approach – This analysis is based on cross-industries panel of 368 listed Pakistani non-financial firms over the period of 2001-2009. Further, the Generalized Method of Moments estimation technique has been used to estimate the dynamic panel data model. Findings – By applying a dynamic panel analysis, it was found that small- and medium-sized enterprises (SMEs) are financially constrained in the credit market. The main finding indicates that reduction in bank concentration eases financing constraints, and this effect is more pronounced for SMEs. In addition, while testing the firm opacity in this context, results reveal that opaque firms are more financially constrained, and bank market competition is less favourable to the firms with greater opacity. Originality/value – The results, first, assess the efficacy of ongoing financial reforms in Pakistan and, second, offer implications for other economies that exhibit financial development similar to that of Pakistan.

scholarly journals GMM ESTIMATION AND INFERENCE IN DYNAMIC PANEL DATA MODELS WITH PERSISTENT DATA

2009 ◽  
Vol 25 (5) ◽  
pp. 1348-1391 ◽  
Author(s):  
Hugo Kruiniger
Keyword(s):  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Panel Data Models ◽  
Finite Sample ◽  
Time Dimension ◽  
Dynamic Panel ◽  
Weak Instruments ◽  
Distributional Properties ◽  
Persistent Data

In this paper we consider generalized method of moments–based (GMM-based) estimation and inference for the panel AR(1) model when the data are persistent and the time dimension of the panel is fixed. We find that the nature of the weak instruments problem of the Arellano–Bond (Arellano and Bond, 1991,Review of Economic Studies58, 277–297) estimator depends on the distributional properties of the initial observations. Subsequently, we derive local asymptotic approximations to the finite-sample distributions of the Arellano–Bond estimator and the System estimator, respectively, under a variety of distributional assumptions about the initial observations and discuss the implications of the results we obtain for doing inference. We also propose two Lagrange multiplier–type (LM-type) panel unit root tests.

INTANGIBLE DETERMINANTS OF MARKET VALUE IN THE NEW ECONOMY: A DYNAMIC PANEL DATA ANALYSIS OF THE INDIAN SOFTWARE INDUSTRY

2009 ◽  
Vol 54 (03) ◽  
pp. 379-398 ◽  
Author(s):  
SUPRIYO DE
Keyword(s):  
Panel Data ◽  
Intangible Assets ◽  
Software Industry ◽  
Generalized Method Of Moments ◽  
Market Value ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Market Values ◽  
Software Firms ◽  
The Impact

Intangible assets like human capital and organization capital have driven the success of India's software industry. This article analyzes the impact of intangible assets on the market value of Indian software firms using a dynamic panel data model. Measures of tangible and intangible assets are constructed using firm-level panel data. The estimation technique uses system generalized method of moments (GMM) and minimum distance estimation (MDE). This methodology accounts for unobserved firm heterogeneity, endogenous explanatory variables and persistent variables. The results conclusively show that intangible assets have a significant impact on market values of Indian software firms.

scholarly journals Real exchange rate undervaluation and sectoral growth in South Africa

2018 ◽  
Vol 9 (4) ◽  
pp. 462-476
Author(s):  
Brian Tavonga Mazorodze ◽  
Dev D. Tewari
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Panel Data ◽  
Real Exchange Rate ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Sectoral Growth ◽  
The Impact

PurposeThe purpose of this paper is to establish the empirical link between real exchange rate (RER) undervaluation and sectoral growth in South Africa between 1984 and 2014.Design/methodology/approachThe study employs a dynamic panel data approach estimated by the system generalised method of moments technique in a bid to control for endogeneity.FindingsThe authors find a significant positive impact of undervaluation on sectoral growth which increases with capital accumulation. Also, the authors confirm that undervaluation promotes sectoral growth up to a point where further increases in undervaluation retards growth.Practical implicationsThe results confirm the importance of policies that keep the domestic currency weaker to foster sectoral growth.Originality/valueThe originality of this paper lies in establishing the impact of exchange rate undervaluation on growth at a sector level in the context of South Africa using a dynamic panel data approach.

Foreign banks in MENA countries: how important? How relevant?

2016 ◽  
Vol 32 (1) ◽  
pp. 77-98 ◽  
Author(s):  
Saibal Ghosh
Keyword(s):  
Positive Impact ◽  
Spillover Effects ◽  
Dynamic Panel Data ◽  
Foreign Bank ◽  
Foreign Banks ◽  
Bank Performance ◽  
Content Type ◽  
Mena Countries ◽  
Domestic Banks ◽  
The Impact

Purpose – The role of foreign banks in impacting the behavior of domestic banks has been a relatively unaddressed topic in the literature. Employing bank-wise data on MENA countries during 2000-2012, the purpose of this paper is to examine how the behavior of foreign banks impact domestic bank performance. For this purpose, the authors focus on not only their profitability and stability, but also on broader numbers such as loan portfolio and funding costs. In addition, the authors also explore the impact of foreign banks on the growth of domestic economies and its implications for the allocation of capital and labor. Design/methodology/approach – The authors employ the dynamic panel data methodology as compared to alternate techniques owing to the ability of this technique to effectively address the endogeneity problem of some of the independent variables. Findings – The results suggest that foreign bank presence exerts significant spillover effects. At the same time, increased foreign banks appear to impel domestic banks to cut back lending. As regards its impact on growth, the results indicate that although labor does not exert any discernible impact on GDP growth, capital exerts a positive impact on output when foreign bank penetration is high, supportive of the real effects of foreign banks. Originality/value – To the best of the authors’ knowledge, this is one of the early studies for MENA countries to examine this issue in a systematic manner. Most studies of this genre focus on a limited set of banks/countries, thereby limiting their empirical evidence. By focussing on an extended sample of MENA country banks covering an extended period that subsumes the financial crisis, the analysis is also able to shed light as to how foreign presence impacts domestic bank performance.

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