Determination Factors of Affecting Individuals’ Acceptance of Internet Banking with Structural Equation Model

The purpose of this study is, investigating the affecting factors of adopting individuals’ internet banking with adding trust and perceived web security variables to Technology Acceptance Model (TAM). For this purpose six hypothesis has developed as part of research model. To collect data survey form has been prepared and has been applied in 8 cities. Useable data has been attained from 413 acquired surveys. Acquired data have been analysed with Structural Equation Modeling (SEM). In accordance with the statistical analyse results; it is determined that perceived ease of use upon perceived usefulness, perceived usefulness upon trust and in addition trust, perceived usefulness, perceived ease of use and perceived web security separately upon intention to use have an positive and meaningful effect.Technology Acceptance Model, Internet Banking, Structural Equation Modelling

Examining the Developed and Emerging Bond Market Interactions: A VAR Analysis

Financial markets are growing and getting more integrated. Hence the transmission of bond markets across countries has become important issue for monetary policymaking and portfolio diversification. This study examines interactions among government bond markets of 3 developed (Japan, USA, Germany) and 5 emerging countries (Russia, India, China, Brazil and Turkey) cover the period January 2006 to September 2015. VAR analysis is carried out to monthly data for to determine the linkages among the 10 year government bond yields. The results showed that the impact of USA bond market is not dominant while the Japanese market is more influential. Furthermore Japanese and Chinese bond markets are found less integrated. &nbsp

Causal inference of financial development and institutional quality across the globe

The world has experienced increased integration of economic activities in the last decades, thus necessitating the unending examination of the responsible factors. In this case, the causal connection between institutional quality and financial development in 102 countries during the period 1990–2016 is examined. Beyond examining this relationship for the entire countries, the countries are further divided into four different income groups (low-income, lower-middle income, upper-middle income, and high-income countries). By employing empirical method that accounts for country-specific factors in the panel, the result of the study demonstrates bidirectional causality between institutional quality and financial development in the whole panel. In terms of country-income groups, the evidence of the study designates that there is two-way causality between institutional quality and financial development in upper-middle income and high-income countries. Moreover, no causality relationship is found in low-income and lower-middle income countries. These results provide policy guide on the effective way of promoting foreign direct investment across the globe.publishedVersio