Journal of Applied Economics,
Journal Year:
2024,
Volume and Issue:
27(1)
Published: Aug. 8, 2024
This
bibliometric
analysis
aims
to
comprehensively
map
and
analyse
the
field
of
algorithmic
finance
research,
examining
1,184
publications
published
between
2001
2023
after
careful
filtering.
Utilising
Web
Science
Core
Collection,
Biblioshiny
R
package,
VOSviewer,
research
reveals
a
substantial
9.93%
annual
growth
in
publications,
highlighting
collaborative
efforts
diverse
document
types.
Temporal
patterns
recent
influential
deepening
insights
into
finance.
The
study
highlights
authors
United
States'
dominant
role
output,
emphasizing
international
collaborations.
Keyword
clusters,
including
"algorithmic
trading,"
high-frequency
trading,
market
microstructure,
unveil
central
themes.
looks
five
groups,
led
by
Levendovszky,
Coffer,
Jain,
Kalev,
Moriyasu.
It
at
improvements
prediction-based
option
making
strategies
more
accessible,
figuring
out
how
ETF
trading
works,
dealing
with
problems
caused
volatility,
electronic
limit
order
works.
International Journal of Wellbeing,
Journal Year:
2020,
Volume and Issue:
10(3), P. 1 - 6
Published: Aug. 12, 2020
The
novel
coronavirus
(COVID-19)
that
was
detected
in
late
2019
has
spread
across
the
globe
and
labelled
a
pandemic
by
World
Health
Organization
on
March
11,
2020(WHO,
2020).The
virus
can
cause
respiratory
infection
of
varying
intensities
lead
to
severe
illness
death.Its
rapid
led
stay-at-home
orders,
lockdowns,
shutdowns
world
(Lancet,
2020;Lau
et
al.,
2020;Lavezzo
al,
2020;Thornton,
2020).This
caused
widespread
fear
changed
everyday
life
for
masses,
an
unprecedented
manner.Despite
its
usefulness
curtailing
virus,
shuttering
businesses,
schools,
public
events,
activities
have
tremendous
impact
psychological
health
(Holmes
2020;
Pfefferbaum,
B
&
North,
2020)
socio-economic
(Nicola
purpose
this
timely
special
issue
is
two-fold.Our
first
goal
narrow
focus
COVID-19
wellbeing.Going
beyond
discussions
physical
implications
disease
itself,
we
consider
social
institutional
measures
used
control
pandemic.Importantly,
departing
from
extant
how
leading
distress
dysfunction,
which
carries
implicit
being
free
interested
moving
forward
actively
generate
wellbeing
during
post
COVID-19.Past
research
leaned
heavily
toward
individual
actions
behaviors
wellbeing,
given
underlying
assumption
individuals
autonomy
choose
activities,
engage
experiences,
take
enhance
their
own
(Hendriks
2019;Lyubomirsky,
2008).In
context
COVID-19,
however,
top-down
such
as
mandating
distancing,
requiring
online
learning
colleges
universities,
remote
work
some
occupations,
others,
essential
workers
risk
retain
jobs,
restricts
wellbeing.Further,
restrictions
itself
may
hurt
(Deci
Ryan,
2008;Yu,
Levesque-Bristol,
Maeda,
2018).Therefore,
current
conditions
make
it
important
institutions
not
only
disease,
but
also
prioritize
wellbeing.This
face
post-COVID-19
world.Our
second
inequities.Numerous
studies
variety
contexts,
age
groups,
cultures
show
inequity/inequality
linked
lower
(
Psychology of Women Quarterly,
Journal Year:
2021,
Volume and Issue:
45(4), P. 475 - 492
Published: Aug. 13, 2021
Feminist
psychologists
have
called
for
researchers
to
consider
the
social
and
historical
context
multidimensionality
of
participants
in
research
studies.
The
Reproducibility
Project
documents
degree
which
findings
from
mainstream
psychological
studies
are
reproduced.
Drawing
on
intersectionality
theory,
we
question
value
reproducing
while
ignoring
who
is
represented,
intersecting
group
identities,
sociohistorical
context,
power
privilege
that
likely
influence
participants’
responses
psychology
experiments.
To
critically
examine
psychology,
analyzed
100
replication
reports
produced
between
2011
2014
(Open
Science
Collaboration,
2015).
We
developed
an
intersectional
analytic
framework
investigate
(a)
representation,
(b)
whether
demographic
identity
factors
were
considered
through
a
multidimensional
or
lens,
(c)
explanations
non-replication,
(d)
socio-cultural
was
considered.
Results
show
predominantly
include
WEIRD
samples
(people
Western,
educated,
industrialized,
rich,
democratic
countries).
Context
rarely
considered,
even
when
study
design
relied
these
factors,
identities
structures
(considering
power,
structural
issues,
discrimination,
context)
absent
nearly
all
reports.
Online
slides
instructors
want
use
this
article
teaching
available
PWQ's
website
at
http://journals.sagepub.com/doi/suppl/10.1177/03616843211035678
International Journal of Bilingualism,
Journal Year:
2022,
Volume and Issue:
27(3), P. 253 - 274
Published: April 5, 2022
Aims
and
objectives:
The
aim
of
this
manuscript
is
to
provide
an
overview
the
population
languages
studied
methods
practices
surrounding
definition
bilingualism
in
children
below
age
3.
Methodology:
A
quantitative
descriptive
scoping
review
Data
analysis:
From
530
articles,
we
identified
127
papers
(167
studies)
that
met
our
predefined
criteria,
which
144
studies
defined
their
bilingual
population.
Findings/conclusions:
samples
investigated
were
predominantly
western
geographical
origin
languages.
Percent
exposure
was
most
common
method
measure
among
infants
young
children,
with
20%
25%
used
cutoffs
as
minimum
requirement
for
children’s
second
language.
We
also
analyzed
predictive
value
these
on
likelihood
reported
a
significant
difference
between
monolinguals
bilinguals.
stricter
inclusion
bilinguals
was,
higher
odds
study
report
monolingual
children.
conclude
lack
uniformity
field
may
be
one
factor
predicts
whether
or
not
differences
are
reported.
Originality:
This
provides
developmental
researchers
unique
different
characterize
infants/toddlers.
results
can
preliminary
evidence
carefully
formulate
how
categorize
infants.
Significance/implications:
As
globalization
continues
foster
migration
intercultural
exchange,
it
essential
diversify
language
groups.
highly
encourage
document
definitions
rationale
all
groups
consider
analyzing
impact
both
from
categorical
continuous
approach.
Journal of Applied Economics,
Journal Year:
2024,
Volume and Issue:
27(1)
Published: Aug. 8, 2024
This
bibliometric
analysis
aims
to
comprehensively
map
and
analyse
the
field
of
algorithmic
finance
research,
examining
1,184
publications
published
between
2001
2023
after
careful
filtering.
Utilising
Web
Science
Core
Collection,
Biblioshiny
R
package,
VOSviewer,
research
reveals
a
substantial
9.93%
annual
growth
in
publications,
highlighting
collaborative
efforts
diverse
document
types.
Temporal
patterns
recent
influential
deepening
insights
into
finance.
The
study
highlights
authors
United
States'
dominant
role
output,
emphasizing
international
collaborations.
Keyword
clusters,
including
"algorithmic
trading,"
high-frequency
trading,
market
microstructure,
unveil
central
themes.
looks
five
groups,
led
by
Levendovszky,
Coffer,
Jain,
Kalev,
Moriyasu.
It
at
improvements
prediction-based
option
making
strategies
more
accessible,
figuring
out
how
ETF
trading
works,
dealing
with
problems
caused
volatility,
electronic
limit
order
works.