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International Review of Economics & Finance,
Journal Year:
2024,
Volume and Issue:
91, P. 299 - 315
Published: Jan. 18, 2024
This
study
examines
the
returns
connectedness
between
NFTs
and
US
sector
stock
markets.
For
this
purpose,
we
use
recently
developed
technique
of
quantile-based
regression
to
explore
dependence
structure
under
various
conditions.
Our
results
support
view
that
sectoral
markets
is
characterized
by
asymmetry
heterogeneity
in
extreme
conditions
compared
median
quantile
mean-based
approach.
Under
normal
conditions,
all
except
ENJ
are
net
recipients
return
spillover
from
markets,
whereas,
financial,
consumer
staple,
industrial
stocks
major
transmitters
system.
However,
observe
at
both
tails,
as
act
transmitter
(recipient)
higher(lower)
quantiles.
confirms
asymmetric
structure.
We
also
compute
static
optimal
weights
hedge
ratios
using
TVP-VAR
model
for
stocks/NFTs
portfolios
show
investors
portfolio
managers
may
consider
including
their
holdings
achieve
diversification
benefits.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(2), P. e0286963 - e0286963
Published: Feb. 15, 2024
We
investigate
the
dynamic
volatility
connectedness
of
geopolitical
risk,
stocks,
bonds,
bitcoin,
gold,
and
oil
from
January
2018
to
April
2022
in
this
study.
look
at
connectivity
during
Pre-COVID,
COVID,
Russian-Ukraine
war
subsamples.
During
COVID-19
periods,
we
find
that
conventional,
Islamic,
sustainable
stock
indices
are
net
transmitters,
whereas
US
GPR,
oil,
bitcoin
receivers.
war,
commodity
index
(DJCI)
shifted
being
a
recipient
transmitter
volatility.
Furthermore,
discover
bilateral
intercorrelations
strong
within
(DJWI,
DJIM,
DJSI)
but
weak
across
all
other
financial
assets.
Our
study
has
important
implications
for
policymakers,
regulators,
investors,
market
participants
who
want
improve
their
existing
strategies
avoiding
losses.