Volatility in Carbon Futures Amid Uncertainties: Considering Geopolitical and Economic Policy Factors
Journal of Futures Markets,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 20, 2025
ABSTRACT
This
study
uses
a
quantile
autoregressive
distributed
lag
model
to
quantitatively
evaluate
the
effects
of
economic
policy
uncertainty
(EPU)
and
geopolitical
risk
(GPR)
on
volatility
in
carbon
futures
(carbon
trading
price
[CTP]),
considering
both
time
asymmetries.
The
findings
show
that
long‐term
GPR
CTP
are
more
significant
than
short‐term
effects,
contrary
EPU.
Both
EPU
have
predominantly
positive
CTP,
while
negatively
affects
factors
mixed
influences
short
term.
location
asymmetry
reveals
impacts
most
pronounced
at
higher
quantiles,
whereas
exhibit
subtle
variations
across
different
quantiles.
intensify
during
structural
shifts
owing
heightened
events.
Moreover,
is
proven
as
dominant
contributor
influencing
fluctuation
long
terms.
provide
targeted
recommendations
for
policymakers
stabilize
contribute
towards
achieving
sustainable
development.
Язык: Английский
How does green finance improve food security? From the perspective of rural human capital
International Review of Economics & Finance,
Год журнала:
2025,
Номер
unknown, С. 103981 - 103981
Опубликована: Фев. 1, 2025
Язык: Английский
Preserving energy security: Can renewable energy withstand the energy-related uncertainty risk?
Energy,
Год журнала:
2025,
Номер
unknown, С. 135349 - 135349
Опубликована: Март 1, 2025
Язык: Английский
Is the end of AI in photovoltaic power? Evidence from China
Energy Economics,
Год журнала:
2025,
Номер
unknown, С. 108423 - 108423
Опубликована: Март 1, 2025
Язык: Английский
Can artificial intelligence reduce energy vulnerability? Evidence from an international perspective
Energy Economics,
Год журнала:
2025,
Номер
unknown, С. 108491 - 108491
Опубликована: Апрель 1, 2025
Язык: Английский
Will Public Health Emergencies Affect Compensatory Consumption Behavior? Evidence from Emotional Eating Perspective
Foods,
Год журнала:
2024,
Номер
13(22), С. 3571 - 3571
Опубликована: Ноя. 8, 2024
This
research
examines
the
correlation
between
COVID-19
pandemic
and
desire
to
engage
in
compensatory
consuming
behaviors,
specifically
emphasizing
emotional
eating
as
a
psychological
coping
strategy,
particularly
with
respect
snacks
sweets.
Conducting
sentiment
analysis
by
using
Natural
Language
Processing
(NLP)
method
on
posts
from
Sina
Weibo,
leading
Chinese
social
media
platform,
identifies
three
distinct
phases
of
consumer
behavior
during
pandemic:
anxiety,
escapism,
periods.
These
stages
are
marked
varying
degrees
tendencies,
illustrating
trajectory
initial
shock
seeking
comfort
through
food
means
regaining
sense
normalcy
control.
The
reveals
notable
increase
expressing
for
consumption
sweets
2020
compared
2019,
indicating
significant
shift
towards
amid
pandemic.
reflects
broader
impacts
crisis,
offering
insights
into
role
digital
platforms
capturing
public
global
crises.
findings
have
implications
policymakers,
health
professionals,
industry,
suggesting
need
strategies
address
behavioral
effects
natural
disasters.
Язык: Английский