Predicting Success in Undergraduate Parallel Programming via Probabilistic Causality Analysis

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.

Download Full-text

Fraud and Bank Performance in Nigeria – Var Granger Causality Analysis

e-Finanse ◽

10.2478/fiqf-2020-0003 ◽

2020 ◽

Vol 16 (1) ◽

pp. 20-26

Author(s):

Taiwo A. Muritala ◽

Muftau A. Ijaiya ◽

Olatanwa H. Afolabi ◽

Abdulrasheed B. Yinus

Keyword(s):

Control Systems ◽

Granger Causality ◽

Internal Control ◽

Banking Sector ◽

Bank Performance ◽

Causality Analysis ◽

Vector Autoregressive ◽

Granger Causality Analysis ◽

Long Run ◽

Multivariate Cointegration

AbstractThis paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen’s Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between the variables. Bank performance was found to be linked to Granger fraud variables and vice versa at 10% significant level. This study reveals that there was a direct causal relationship between bank performance and fraud because increase in fraudulent activities in the banking sector leads to reduction in bank performance. Hence, this study recommends that internal control systems of banks should be strengthened so as to detect and prevent fraud. In this way, bank assets would be protected.

Download Full-text

APPROACHING DEVELOPMENTS ON PARALLEL PROGRAMMING MODELS THROUGH JAVA

i-manager’s Journal on Software Engineering ◽

10.26634/jse.10.3.4900 ◽

2016 ◽

Vol 10 (3) ◽

pp. 14

Author(s):

VEERASAMY BALA DHANDAYUTHAPANI ◽

NASIRA G.M ◽

◽

Keyword(s):

Parallel Programming ◽

Programming Models ◽

Parallel Programming Models

Download Full-text

Vicious Cycle of Economic Growth, Pm2.5 and COVID-19 Case of G7 Countries

10.31124/advance.12937019.v1 ◽

2020 ◽

Author(s):

Rıdvan Karacan

Keyword(s):

Economic Growth ◽

Air Pollution ◽

Particulate Matter ◽

Fossil Fuels ◽

Fine Particulate Matter ◽

Panel Cointegration ◽

Air Pollutant ◽

Population Exposure ◽

Causality Analysis ◽

G7 Countries

Today, production is carried out depending on fossil fuels. Fossil fuels pollute the air as they contain high levels of carbon. Many studies have been carried out on the economic costs of air pollution. However, in the present study, unlike the former ones, economic growth's relationship with the COVID-19 virus in addition to air pollution was examined. The COVID-19 virus, which was initially reported in Wuhan, China in December 2019 and affected the whole world, has caused many cases and deaths. Researchers have been going on studying how the virus is transmitted. Some of these studies suggest that the number of virus-related cases increases in regions with a high level of air pollution. Based on this fact, it is thought that air pollution will increase the number of COVID-19 cases in G7 Countries where industrial production is widespread. Therefore, the negative aspects of economic growth, which currently depends on fossil fuels, is tried to be revealed. The research was carried out for the period between 2000-2019. Panel cointegration test and panel causality analysis were used for the empirical analysis. Particulate matter known as PM2.5[1] was used as an indicator of air pollution. Consequently, a positive long-term relationship has been identified between PM2.5 and economic growth. This relationship also affects the number of COVID-19 cases. [1] "Fine particulate matter (PM2.5) is an air pollutant that poses the greatest risk to health globally, affecting more people than any other pollutant (WHO, 2018). Chronic exposure to PM2.5 considerably increases the risk of respiratory and cardiovascular diseases in particular (WHO, 2018). For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator" (OECD.Stat).

Download Full-text