Mathematics,
Journal Year:
2024,
Volume and Issue:
12(23), P. 3789 - 3789
Published: Nov. 30, 2024
This
study
employed
the
dynamic
conditional
correlation
algorithm
and
incorporated
temporal
dynamics
of
spillover
effect
to
enhance
Multivariate
Stochastic
Volatility
(MSV)
model.
Consequently,
a
DGC-t-MSV
model
(multiple
stochastic
volatility
coefficient
with
Granger
causality
test)
was
constructed
simulate
examine
effects
between
China’s
carbon
market
traditional
energy
market.
The
findings
reveal
following:
(1)
A
significant
in
price
exists
markets,
notably
fluctuating
index.
China
exerts
stronger
unidirectional
on
Price
fluctuations
impact
prices
through
mechanisms
such
as
cost
transmission
expectations.
(2)
In
initial
stages,
markets
showed
an
overall
downward
trend,
underscoring
positive
influence
policy
incentives
technological
advancements
growth
alternative
energy.
mutual
weakening
markets.
(3)
display
high
degree
interdependence
short-term
persistence,
evidence
long
memory
inertia
these
movements.
Integration
Bayesian
approach
Markov
Chain
Monte
Carlo
(MCMC)
method
introduction
time-varying
factor
enabled
efficient
measurement
Applied Economics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 17
Published: Aug. 8, 2024
To
quantify
the
impacts
of
risk
shocks
on
time-domain
and
frequency-domain
spillovers,
we
propose
a
new
empirical
framework
based
TVP-VAR
wavelet
coherence
analysis.
We
illustrate
methodology
by
analysing
spillovers
among
gold,
oil,
emerging,
developed
markets
from
10
February
2011
to
2
April
2024
obtain
intriguing
findings.
First,
dynamic
rise
significantly
during
turbulent
periods.
The
net
spillover
results
show
that
gold
emerging
are
mainly
receivers,
emitters,
oil
market
plays
switching
role
over
time.
Second,
have
frequency-dependent
markets.
effects
concentrated
in
medium-
long-term
ranges
2015,
2018,
2020–2021,
relationship
between
volatility
total
connectedness
is
positive.
impact
heterogeneous
time
frequency
domains
lead-lag
relationship.
Our
findings
important
implications
for
policymakers
investors.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Nov. 19, 2024
This
study
uses
the
game
theory
combination
weighting
method
to
measure
level
of
coordinated
development
green
finance
and
digital
technology
coupling
in
China.
An
analysis
was
conducted
using
Kernel
density
estimation
method,
traditional
Markov
chain
model,
spatial
model
dynamic
evolution
characteristics
trends
coordination
Chinese
provinces.
The
results
showed
an
upward
trend
entire
sample
Chinese,
eastern,
central,
western,
northeastern
Additionally,
there
is
observable
club
convergence
phenomenon
technology.
high-level
low-level
significant.
areas
on
diagonal
that
are
have
a
higher
probability
remaining
stable.
both
show
“Matthew
effect”
Empirical
testing
suggests
horizontal
can
significantly
promote
pollution
emission.
Further
found
achieves
emission
by
driving
innovation.
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(23), P. 3789 - 3789
Published: Nov. 30, 2024
This
study
employed
the
dynamic
conditional
correlation
algorithm
and
incorporated
temporal
dynamics
of
spillover
effect
to
enhance
Multivariate
Stochastic
Volatility
(MSV)
model.
Consequently,
a
DGC-t-MSV
model
(multiple
stochastic
volatility
coefficient
with
Granger
causality
test)
was
constructed
simulate
examine
effects
between
China’s
carbon
market
traditional
energy
market.
The
findings
reveal
following:
(1)
A
significant
in
price
exists
markets,
notably
fluctuating
index.
China
exerts
stronger
unidirectional
on
Price
fluctuations
impact
prices
through
mechanisms
such
as
cost
transmission
expectations.
(2)
In
initial
stages,
markets
showed
an
overall
downward
trend,
underscoring
positive
influence
policy
incentives
technological
advancements
growth
alternative
energy.
mutual
weakening
markets.
(3)
display
high
degree
interdependence
short-term
persistence,
evidence
long
memory
inertia
these
movements.
Integration
Bayesian
approach
Markov
Chain
Monte
Carlo
(MCMC)
method
introduction
time-varying
factor
enabled
efficient
measurement
