Open Access Original Research Article

A Study on Google Searches in Banking

Bodo Herzog

Journal of Economics, Management and Trade, Page 236-258
DOI: 10.9734/BJEMT/2015/16956

This paper examines the determinants of Google search in the banking area. The weekly Google data from 2004 to 2013 used for this study consists of the 30 largest banks, the Federal Reserve, and the European Central Bank. To my knowledge, this is the first study on the determinants of Google data. Firstly the paper shows that Google searches are correlated with several performance variables and market data, such as asset prices and trading volume. Secondly it demonstrates that banks' internal performance data has a major influence whereas market data is rather insignificant. Moreover it is shown that Google search for central banks is largely determined by the level of interest rates as well as the inflation and output gap. This is evidence that central bank attention is primarily driven by the policy targets. Accordingly Google data can be applied to analyze the timely impact of monetary policy.

Open Access Original Research Article

Do BVAR Models Forecast Turkish GDP Better Than UVAR Models?

Irem Sacakli-Sacildi

Journal of Economics, Management and Trade, Page 259-268
DOI: 10.9734/BJEMT/2015/17543

Forecasting gross domestic product (GDP) is crucial for developing macroeconomic policies and managements. Vector autoregression models are one of the commonly used multivariate time series models for forecasting. The Bayesian vector autoregression models are used to avoid problems of multicollinearity and over parameterization that occur in general with the use of vector autoregression models. The aim of this paper is to forecast Turkish GDP using Bayesian vector autoregression models with quarterly data from 2005q4 to 2013q3 and compare the results with unrestricted vector auto regression models. The out-of-sample forecasting accuracy of these models are compared with unrestricted vector autoregression models. The results confirm the accuracy of Bayesian vector auto regression models for forecasting GDP. On the other hand unrestricted vector autoregressionmodels are most accurate for exchange rates except the first quarter and for interest rate in the first two quarter forecasts.

Open Access Original Research Article

Investigation on XBRL Adoption Based on TOE Model

Malihe Rostami, Mahmoud Dehghan Nayeri

Journal of Economics, Management and Trade, Page 269-278
DOI: 10.9734/BJEMT/2015/16879

One current new technology in financial issues is XBRL (eXtensible Business Reporting Language) that is based on XML (eXtensible Markup Language). Actually, XBRL is a language to transfer data and a new way to publish financial reports on the internet. This is important for organizations which want to communicate internationally with other organizations in the world. Meanwhile, all shareholders, stakeholders, competitors and public users want to know more about an organization for any usage, XBRL can make easy the knowledge discovery procedure in this issue which makes it vital for nowadays firms to compete in the world business era.

Aim: The purpose of this paper is to define a model for facilitating XBRL adoption within firms which van be developed through exploring the affecting factors on XBRL adoption.

Methodology: This paper tries to investigate affecting factors on XBRL based on TOE model including environmental, organizational and technological factors. Confirmatory factor analysis will be employed to test the TOE model on XBRL adoption according to experts' opinion.

Results: Through investigating the effect of various factors based on TOE model on XBRL adoption, environmental factors with 0.95, technological factors with 0.90 and organizational factors with 0.85 respectively are the most important factors which affect XBRL successful adoption.

Conclusion: In order to implement a new technology such as XBRL, every organization should define and provide its prerequisites and success factors to reach a well adoption and preventing its relevant risks.

Open Access Original Research Article

Satisfaction Perceptions Differences of Customers of Banks in Saudi Arabia Based on Gender

Ibrahim Abdullah Aljasser, Bokkasam Sasidhar

Journal of Economics, Management and Trade, Page 279-287
DOI: 10.9734/BJEMT/2015/16858

, Branch Banking, On-line banking, ATM Banking and Phone Banking for both male and female customers separately. It also identifies the characteristics affecting the satisfaction perceptions of customers of banks in Saudi Arabia.

Study Design: This study was based on a questionnaire survey.

Methodology: The sampling frame for the study consisted of traditional male bank users and female women-only bank users in the Kingdom of Saudi Arabia. A total of 220 male and 279 female bank users (using women-only banks) were randomly selected and data was collected by meeting the customers face to face. The data collected were analyzed using IBM SPSS Statistics 20.

Results: The study revealed that male customers in lower age group have higher satisfaction with on-line, ATM and phone banking. Male customers working in public and private sectors have higher satisfaction with on-line and ATM banking. Male customers with bachelor’s degree and below are more satisfied with phone banking. Male customers in higher income groups have higher satisfaction with all modes of banking. Female customers below 25 years have lesser satisfaction with phone banking.

Conclusion: The effects of demographic characteristics which affect different modes of banking for males using traditional banks and females using women-only banks have been brought out. This study provides the bank executives with insights into the kinds of service customers find most appropriate for their banking needs.

Open Access Original Research Article

Is There A Casual Relationship Between Lending Interest Rate and Credit Availability to Households in Namibia?

Sakaria A. Kalumbu, Jacob M. Nyambe

Journal of Economics, Management and Trade, Page 288-295
DOI: 10.9734/BJEMT/2015/13982

This study purposed to answer the question of whether or not there exist a causal relationship between the lending interest rate and credit volume available to households in Namibia. Analytical methods of unit root, Johansen cointegration, Granger-causality and the impulse response function were all used for estimation. The study period is the year 2000 to 2012 using panel data. Lending rate and credit stock available proved to be significant but with an inexistence of a long-run relationship between them. There is a one directional causal relationship between lending interest rate and credit available to households in Namibia which runs from credit availability to lending interest rate. Having also found a positive relationship between credit availability and lending interest rate in Namibia, lending rate should be sustained at a slightly higher level in order for the economy to keep prices stable.

Open Access Original Research Article

Balance of Payments: Nigerian Experience: 1960-2012

I. M. Shuaib, O. Ekeria Augustine, A. Ogedengbe Frank

Journal of Economics, Management and Trade, Page 296-305
DOI: 10.9734/BJEMT/2015/14638

The paper examined balance of payments: Nigerian Experience: 1960-2012 using time series data from 1960-2012. The study explored secondary data from the Central Bank Statistical Bulletin for the period of 1960 to 2012 and used various econometric analyses and/or statistical analytical (E-view 7.2) method to examine the relationship between balance of payments and economic growth.  The paper tested the stationary—through Group unit root test. The co-integration technique employed in this study is [19] approach in assessing the co-integrating properties of variables, especially in a multivariate context to determine the long-run relationship among the variables examined. Further effort was made to check the causality relationship that exists between the two variables by employing the Pairwise-Granger causality at one lag period. From the result of empirical findings, it was discovered that in Table 3 there was unidirectional from RGDP to BOP, EXCH, EDR, and from EDR to FTD and bidirectional causality only between EDR to EXCH.  The paper however recommended that among others the government should encourage the exportation of non-oil goods into world market,  that the revenue from the oil is diversified into other viable aspect of the economy,  that policies (such as monetary or fiscal) are put in place to check balance-of-payment deficits, inflation rate should be maintained at single-digit level to enable the private investors to have a conducive atmosphere for production of goods for export, and also reduce the external borrowing tendencies, even when borrowed should be utilized on mega or capital projects that have multiplier effect in the economy.

Open Access Others

Attitude towards Using Mobile Banking in Malaysia: A Conceptual Framework

Aye Aye Khin, Kevin Low Lock Teng

Journal of Economics, Management and Trade, Page 306-315
DOI: 10.9734/BJEMT/2015/17660

Despite various researches has been carried out on mobile banking adoption but only a small quantity of studies were conducted in Malaysia. As a result, literature on the key determinants of the intention to adopt mobile banking within Malaysia is insufficient. Therefore, there is a need to comprehend the factors influencing the intention to adopt mobile banking services in the Malaysian market. This research fills the gap by integrating Technology Acceptance Model (TAM) with perceived risk and perceived cost. The main objective of the study is to determine the factors that influences the intention to adopt mobile banking services. This conceptual study reviews the past literatures and proposes eight research hypotheses interlinking eight variables that are Usefulness, Easefulness, Relative advantage, Perceived risk, Attitude Towards Using, Perceived Cost, Age, Education and Intention to Adopt Mobile Banking. The paper concludes with a discussion of the future of mobile banking in Malaysia.