| |
Volume 10 Number 1, 2020 (Full articles will be available from Ebsco and GALE soon. For subscribing individual article, click here to send your request with the respective title)
The
central function of a bank inherently
exposes it to operational risk where
this risk can influence depositor
behaviour. The financial decision-making
behaviour of depositors is dependent on
behavioural finance biases. Results from
this paper indicated that the
representativeness bias was significant
for all operational risk events except
for business disruptions and system
failures. Therefore, depositors who are
subject towards this bias will be more
likely to withdraw their money. The
availability bias was significant for
all operational risk events except for
employment practice and workplace
safety. The self-control bias was
significant for all operational risk
events except for internal fraud. Hence,
behavioural finance biases influence
depositors’ likelihood to withdraw
during operational risk events.
The objective
of this research is to analyze the
relationship between the results of
agricultural associations in Ecuador and
the behavior of performance indicators
of social networks that are created
around these associations. The results
show that in spite of finding important
differences in the conditions in which
associations operate, such as the size
in hectares or the number of members
that integrate it, it is not possible to
affirm that the observed productivity
variations among them directly respond
to these differences. However, when
analyzing the relationship between the
subjective level of associativity,
measured through the density coefficient
of the network, it corroborated the
hypothesis that the degree of
productivity can be affected by the
degree of cohesion of the individuals
that make up the network.
This study investigates the determinants of loan repayment performance of a government microcredit program for the handloom weavers in Bangladesh. The data for this analysis were collected from 151 credit beneficiaries from Sirajganj district of Bangladesh during 2015 using multistate sampling technique. The Probit model estimation results reveal that working adults, household assets, operational handloom unit, loan size, opportunity cost and loan utilization positively and work experience, occupational status, income, and distance variables inversely influences the borrowers’ successful repayment choice. Therefore, appropriate policy interventions are required based on negative determinants to cover up the gap in loan repayment.
The objective of the study is to
empirically examine the relationship
between insurance sector development and
economic growth in Indonesia in the
period of 2002 to 2018. Time series
regression analysis was performed to
test the effect of insurance development
indicators i.e. general insurance
density, general insurance penetration,
life insurance density and life
insurance penetration on economic
growth.
Granger causality test was also
performed to test the existence of
granger cause between economic growth
and insurance development indicators.
It is revealed that insurance
industry significantly affect economic
growth. General insurance density and
life insurance penetration are variables
that partially affect economic growth in
different magnitude and directions. |
Copyright © 2009 Society for Alliance, Fidelity & Advancement. Last modified: 04/09/22. All Rights Reserved