Customers’ Assessment on ATM Services in Bangladesh
Mohammad Shamsus Sadekin,
Md. Abdul Hannan Shaikh
Issue:
Volume 3, Issue 3, June 2017
Pages:
39-43
Received:
1 May 2017
Accepted:
17 May 2017
Published:
16 June 2017
Abstract: E-banking implies provision of banking products and services through electronic delivery channels. The study was designed to investigate ATM services in Bangladesh, its impact on social life and security of ATM accounts. The main objective of present study is to find out the practice, impact and security status of ATM booths in Bangladesh. The investigation was concentrated in various divisions, districts and towns in Bangladesh. The sample consisted of 120 bankers and bank customers, were selected purposively from various territory. Out of 120 respondents, 38 bankers and 72 bank customers who use ATM card have given their opinion on many issues of ATM accounts. Data was collected using questionnaire administrated by the researcher. Data were processed through micro computer using Statistical Package for Social Science (SPSS). From the analysis of data the following major findings were obtained i. ATM card holders in Bangladesh feel insecurity from hijacker to withdraw and deposit money from ATM booths and all the ATM booths of Bangladeshi banks are not in safe position.
Abstract: E-banking implies provision of banking products and services through electronic delivery channels. The study was designed to investigate ATM services in Bangladesh, its impact on social life and security of ATM accounts. The main objective of present study is to find out the practice, impact and security status of ATM booths in Bangladesh. The inve...
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A Capital Asset Pricing Model’s (CAPM’s) Beta Estimation in the Presence of Normality and Non-normality Assumptions
Ezekiel Oseni,
Razak Olawale Olanrewaju
Issue:
Volume 3, Issue 3, June 2017
Pages:
44-52
Received:
10 April 2017
Accepted:
14 April 2017
Published:
16 June 2017
Abstract: This study describes the approach for estimating the beta-risk of the Capital Asset Price Model (CAPM) when the normality (Gaussian) assumption of both the error term and the excess return on an asset holds, and also when their normality assumption is violated or failed due to outliers or excessive skewness and excessive kurtosis. The student-t distribution was used as an alternative distribution to capture these anomalies. The monthly All-share Index (ASI) of 12 crucial Market Portfolios / Sectors derived from Nigeria Stock Exchange (NSE) were subjected to both the Gaussian error innovation and Student-t error innovation in this study. However, it was noted that estimates of portfolios’ beta-risk and its standard error for Gaussian and student-t were approximately the same when the sector follows a normal distribution while the standard errors of portfolio beta-risk estimates will be smaller under student-t innovation than that of Gaussian innovation when the sector does not follow normal distribution due to these anomalies. Furthermore, it was discovered that building & construction, manufacturing, quarry & mining, communication, transportation, education and utilities sectors have been having lower volatility, that is, in boosting the economy over the last 15 years.
Abstract: This study describes the approach for estimating the beta-risk of the Capital Asset Price Model (CAPM) when the normality (Gaussian) assumption of both the error term and the excess return on an asset holds, and also when their normality assumption is violated or failed due to outliers or excessive skewness and excessive kurtosis. The student-t dis...
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