scholarly journals The Effect of the Global Financial Crisis on the Level of Accounting Conservatism in Commercial Banks: Evidence from Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 151 ◽  
Author(s):  
Yusuf Ali Al-Hroot ◽  
Laith Akram Muflih AL-Qudah ◽  
Faris Irsheid Audeh Alkharabsha
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Commercial Banks ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Accounting Conservatism ◽  
Series Data ◽  
Cross Sectional ◽  
The Global Financial Crisis

This paper intends to investigate whether the financial crisis (2008) exerted an impact on the level of accounting conservatism in the case of Jordanian commercial banks before and during the financial crisis. The sample of this study includes 78 observations; these observations are based on the financial statements of all commercial banks in Jordan and may be referred to as cross-sectional data, whereas the period from 2005 to 2011 represents a range of years characterized by time series data. The appropriate regression model to measure the relationship between cross-sectional data and time series data is in this case the pooled data regression (PDR) using the ordinary least squares (OLS) method. The results indicate that the level of accounting conservatism had been steadily increasing over a period of three years from 2005 to 2007. The results also indicate that the level of accounting conservatism was subjected to an increase during crisis period between 2009 and 2011 compared with the level of accounting conservatism for the period 2005-2007 preceding the global financial crisis. The F-test was used in order to test the significant differences between the regression coefficients for the period before and during the global financial crisis. The results indicate a positive impact on the accounting conservatism during the global financial crisis compared with the period before the global financial crisis. The p-value is 0.040 which indicates that there are statistically significant differences between the two periods; these results are consistent with the results in Sampaio (2015).

Financial crisis and SME capital structure: Swedish empirical evidence

2019 ◽  
Vol 46 (4) ◽  
pp. 925-941 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman ◽  
Saeid Homayoun
Keyword(s):  
Financial Crisis ◽  
Capital Structure ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Data Availability ◽  
Cross Sectional ◽  
Content Type ◽  
The Global Financial Crisis

Purpose The purpose of this paper is to empirically examine capital structure determinants of small- and medium-sized enterprises (SMEs) during and after the global financial crisis. Design/methodology/approach Statistical methods, including ordinary least squares and the generalised method of moments, were used to analyse a sample of over 40,800 Swedish SMEs operating in four industries during the 2008–2015 period. Findings The results indicate that the independent variables – i.e. financial crisis, profitability, size, tangibility and industry affiliation – to various degrees explain changes in short-term debt (STD) and long-term debt (LTD) ratios. In particular, the empirical findings indicate that the sampled SMEs tended to rely more on STD and LTD during (2008–2009) than after (2010–2015) the financial crisis. Research limitations/implications Due to data availability, the current study is limited to a sample of Swedish SMEs in four industries covering eight years. Further research could examine the generalisability of these findings by investigating other firms operating in other industries and other countries. Originality/value This study is one of few examining determinants of short- and long-term SME debt during and after the global financial crisis, using data from a large-scale cross-sectional database.

تقدير وتحليل إنتاجية البنوك التجارية في اليمن: دراسة قياسية

2021 ◽  
Vol 2021 (71) ◽  
pp. 147-163
Author(s):  
أد. مشارك غالب صالح مشبب ◽  
◽  
أ.د مشارك عيسى احمد حنوم
Keyword(s):  
Time Series ◽  
Production Process ◽  
Production Function ◽  
Commercial Banks ◽  
Time Series Data ◽  
The Other ◽  
Production Functions ◽  
Series Data ◽  
Cross Sectional ◽  
The One

This study aimed to estimate and analyze the productivity of a sample of commercial banks in Yemen, and the technical relationship and its substitution between the inputs on the one hand, and between them and the outputs on the other hand, with an indication of the efficiency of these banks, where the focus was placed on the two production functions with fixed substitution elasticity by approximating a potential, and a function Cobb-Duclas production based on balanced cross-sectional time-series data during the period (2000-2014); The number of views of the study was 90 views. The results of the study showed that the production function (Cobb-Duclas) is the most appropriate in estimating and explaining the behavior of the production process of the commercial banks in the study sample. and that the productive share of the capital component is greater than that of the labor component. Finally, the results showed that it is possible to replace and exchange between production elements.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

scholarly journals Panel Econometric Analysis on Mobile Payment Transactions and Traditional Banks Effort toward Financial Accessibility in Sub-Sahara Africa

2020 ◽  
Vol 12 (3) ◽  
pp. 895 ◽  
Author(s):  
Cephas Paa Kwasi Coffie ◽  
Hongjiang Zhao ◽  
Isaac Adjei Mensah
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Sustainable Growth ◽  
Series Data ◽  
Mobile Payment ◽  
Cross Sectional ◽  
Mobile Payments ◽  
Long Run

The financial landscape of sub-Sahara Africa is undergoing major changes due to the advent of FinTech, which has seen mobile payments boom in the region. This paper examines the salient role of mobile payments in traditional banks’ drive toward financial accessibility in sub-Sahara Africa by using panel econometric approaches that consider the issues of independencies among cross-sectional residuals. Using data from the World Development Index (WDI) 2011–2017 on 11 countries in the region, empirical results from cross-sectional dependence (CD) tests, panel unit root test, panel cointegration test, and the fully modified ordinary least squares (FMOLS) approach indicates that (i) the panel time series data are cross-sectionally independent, (ii) the variables have the same order of integration and are cointegrated, and (iii) growth in mobile payment transactions had a significant positive relationship with formal account ownership, the number of ATMs, and number of new bank branches in the long-run. The paper therefore confirms that the institutional structure of traditional banks that makes them competitive, irrespective of emerging disruptive technologies, has stimulated overall financial accessibility in the region leading to overall sustainable growth in the financial sector. We conclude the paper with feasible policy suggestions.

An easy way to create duration variables in binary cross-sectional time-series data

2020 ◽  
Vol 20 (4) ◽  
pp. 916-930
Author(s):  
Andrew Q. Philips
Keyword(s):  
Time Series ◽  
Missing Data ◽  
Time Series Data ◽  
Series Data ◽  
Duration Dependence ◽  
Cross Sectional ◽  
Common Solution ◽  
The Common

In cross-sectional time-series data with a dichotomous dependent variable, failing to account for duration dependence when it exists can lead to faulty inferences. A common solution is to include duration dummies, polynomials, or splines to proxy for duration dependence. Because creating these is not easy for the common practitioner, I introduce a new command, mkduration, that is a straightforward way to generate a duration variable for binary cross-sectional time-series data in Stata. mkduration can handle various forms of missing data and allows the duration variable to easily be turned into common parametric and nonparametric approximations.

Influence of Inclination Angle on Intermittent Two Phase Flows

2016 ◽  
Author(s):  
Josep Escrig Escrig ◽  
Buddhika Hewakandamby ◽  
Georgios Dimitrakis ◽  
Barry Azzopardi
Keyword(s):  
Time Series ◽  
Void Fraction ◽  
Time Series Data ◽  
Silicone Oil ◽  
Wire Mesh ◽  
Series Data ◽  
Intermittent Flow ◽  
Two Phase ◽  
Cross Sectional ◽  
Inclined Pipes

Intermittent gas and liquid two-phase flow was generated in a 6 m × 67 mm diameter pipe mounted rotatable frame (vertical up to −20°). Air and a 5 mPa s silicone oil at atmospheric pressure were studied. Gas superficial velocities between 0.17 and 2.9 m/s and liquid superficial velocities between 0.023 and 0.47 m/s were employed. These runs were repeated at 7 angles making a total of 420 runs. Cross sectional void fraction time series were measured over 60 seconds for each run using a Wire Mesh Sensor and a twin plane Electrical Capacitance Tomography. The void fraction time series data were analysed in order to extract average void fraction, structure velocities and structure frequencies. Results are presented to illustrate the effect of the angle as well as the phase superficial velocities affect the intermittent flows behaviour. Existing correlations suggested to predict average void fraction and gas structures velocity and frequency in slug flow have been compared with new experimental results for any intermittent flow including: slug, cap bubble and churn. Good agreements have been seen for the gas structure velocity and mean void fraction. On the other hand, no correlation was found to predict the gas structure frequency, especially in vertical and inclined pipes.

Restructuring Measurements Impact on Bank Risk After the Global Financial Crisis — Empirical Evidence from Vietnam

2021 ◽  
pp. 2150019
Author(s):  
Tu T. T. Tran ◽  
Yen Thi Nguyen
Keyword(s):  
Financial Crisis ◽  
Commercial Banks ◽  
Global Financial Crisis ◽  
Banking System ◽  
The State ◽  
Bank Risk ◽  
The Government ◽  
The Global Financial Crisis ◽  
Bank System ◽  
The Impact

Project 254 signed in November 2011 which is relating to “Restructuring the system of credit institutions in the period of 2011–2015” has been considered as a milestone in marking the Vietnamese government to prevent the influence of the financial crisis of 2008. This paper identifies hypotheses evaluating the impact of restructuring measurements on the risk of the Vietnamese’s commercial banks in 10 years, starting from 2008. Using the OLS regression method for analysis by running Eviews and ANOVA test in SPSS with a unique database of 216 observations of 31 commercial banks in Vietnam, it was found that: (i) The bail-out activities of the State Bank of Vietnam in 2015 does not influence on bank risk, (ii) The mergers and acquisitions (M&A) do not support the bank to reduce risk, it increases the risk for acquiring banks, (iii) The global crisis 2008 exerts dire consequence on the bank system in Vietnam, (iv) There is the difference of risk among the groups of the bank experiencing a different number of years of operation. Basing on this result, the paper also makes recommendations to the Government, The State Bank of Vietnam and the commercial banks for effective risk management toward the development of the Vietnamese banking system.

Time Series Analysis in Pooled Cross-Sections

1986 ◽  
Vol 2 (3) ◽  
pp. 331-349 ◽  
Author(s):  
John J. Beggs
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Cross Sections ◽  
Spectral Methods ◽  
Time Series Data ◽  
Series Data ◽  
Cross Sectional ◽  
Series Analysis ◽  
Simulation Results ◽  
Spectral Representations

This article proposes the use of spectral methods to pool cross-sectional replications (N) of time series data (T) for time series analysis. Spectral representations readily suggest a weighting scheme to pool the data. The asymptotically desirable properties of the resulting estimators seem to translate satisfactorily into samples as small as T = 25 with N = 5. Simulation results, Monte Carlo results, and an empirical example help confirm this finding. The article concludes that there are many empirical situations where spectral methods canbe used where they were previously eschewed.

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