Unveiling Cryptocurrency Impact on Financial Markets and Traditional Banking Systems: Lessons for Sustainable Blockchain and Interdisciplinary Collaborations
Journal of risk and financial management,
Год журнала:
2024,
Номер
17(2), С. 58 - 58
Опубликована: Фев. 1, 2024
The
advent
of
cryptocurrencies
and
blockchain
technology
has
sparked
a
revolutionary
shift
in
the
financial
sector.
This
study
sets
out
on
wide-ranging
investigation
to
understand
nuanced
dynamics,
repercussions,
potential
future
paths
this
shifting
environment
UK
USA.
primary
goals
research
are
examine
how
affect
markets
conventional
banking
systems;
might
be
used
sector;
assess
policy
regulatory
considerations;
predict
plan
for
future.
digs
into
have
revolutionized
finance
sectors.
Analysis
adoption
rates,
market
volatility,
integration
methods
sheds
light
changing
position
investment
portfolios,
reconfiguration
asset
classes,
coping
mechanisms
institutions.
When
looking
at
sector
as
whole,
transformational
becomes
clear.
DeFi,
smart
contracts,
tokenization
offers
new
prospects
improve
transactions,
increase
transparency,
broaden
participation
market.
analyzes
from
perspective.
delicate
balancing
act
between
stimulating
innovation
guaranteeing
consumer
protection,
integrity,
stability
is
highlighted
by
comparison
adopted
United
Kingdom
States,
well
proposals
international
organizations.
identifies
these
technologies
their
implications.
Opportunities
challenges
that
will
influence
emerge,
with
focus
central
bank
digital
currencies
(CBDCs),
sustainable
solutions,
interdisciplinary
collaborations.
As
deep
dive
comes
close,
power
highlighted.
It
forces
altering
structures
world’s
markets,
structures,
frameworks.
findings
critical
assessment
stress
need
well-considered
choices,
ethical
innovation,
cooperation
order
succeed
an
ever-changing
environment.
To
further
democratize
access,
reshape
economic
fabric
our
planet,
resides
confluence
tradition
where
exist.
Язык: Английский
Impact of Oil Price Shocks on Crypto and Conventional Financial Assets during Financial Crises: Evidence from the Russian Financial Market
International Journal of Energy Economics and Policy,
Год журнала:
2024,
Номер
14(4), С. 472 - 483
Опубликована: Июль 5, 2024
This
study
offers
a
multidimensional
solution
to
mitigate
the
risk
raised
due
oil
price
volatility
for
navigating
investments
within
Russian
financial
landscape.
assesses
spillover
effects
between
crypto
assets
and
traditional
encompassing
equities,
bonds,
precious
metals,
foreign
currency
reserves,
crude
prices.
It
adopts
significant
temporal
perspective
assess
potential
ramifications
of
various
crises,
including
global
health
crises
regional
conflicts,
on
Utilizing
daily
frequency
dataset
spanning
from
January
1,
2018,
December
30,
2023,
this
investigates
contagion
across
normal,
bullish,
bearish
market
conditions.
introduces
shocks
first
time
effectively
gauge
impact
exogenous
both
conventional
asset
classes.
Additionally,
employs
Cross
Quantilogram
(CQ)
TVP-VAR
estimation
techniques
examine
interconnectedness
among
underlined
assets.
Furthermore,
utilizes
quantile
wavelet
coherence
model
unveil
patterns,
laying
groundwork
hypotheses
related
diversification,
hedging,
safe-haven
investment
strategies
The
findings
underscore
effectiveness
in
diversifying
serving
as
hedge,
particularly
evident
during
leading
heightened
volatility.
Conversely,
government-owned
bonds
exhibit
lowest
resilience
external
shocks.
Moreover,
dynamic
provides
guidance
investors
implementing
proposed
that
underscores
importance
prudent
allocation
policies
management,
optimizing
portfolio
utilization.
Язык: Английский
Kingdom of Fintech: crowdfunding shaping the future in the kingdom of Saudi Arabia
Journal of Science and Technology Policy Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 23, 2024
Purpose
This
study
aims
to
assess
that
whether
Islamic
real
estate
crowdfunding
(RECF)
can
offer
a
compelling
alternative
investment
attract
substantial
funds
from
traditional
securities
and
other
conventional
methods
or
otherwise.
Design/methodology/approach
The
current
draws
on
secondary
data
was
published
legitimate
website,
Twitter
official
documents.
Document
analysis
is
conducted
using
the
statements
of
privacy
policy,
Sharia
compliance,
terms
conditions
disclosers
established
facts.
Second,
achieve
in-depth
knowledge,
qualitative
for
interviews
presentations
with
Aseel
CEO
Majed
Abalkhail
YouTube.
Thematic
adapted;
it
among
most
popular
types
analyzing
data.
Findings
findings
show
platform
has
been
successful
in
providing
simple
access
opportunities
by
minimizing
obstacles,
reducing
entry
exit
costs,
streamlining
process
widening
investor’s
base.
Originality/value
paper
seeks
contribute
literature
crowdfunding,
RECF.
Its
objectives
include
exploring
concept
its
growth
various
types.
Furthermore,
examine
expansion
system,
market
position
focus
Saudi
Arabian
market.
Lastly,
investigates
first
RECF
Arabia,
Company,
which
achieved
remarkable
success
seven
completed
within
year
establishment.
Язык: Английский
Financial citizenship and FinTech transition: evidences in Iran
Journal of Science and Technology Policy Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 12, 2024
Purpose
Financial
technologies
or
FinTech
have
replaced
traditional
financial
services.
Large
investments
been
made
in
FinTechs
but
there
is
a
gap
between
service
providers
and
consumers.
Due
to
the
high
diversity
speed
of
changes,
people
still
do
not
understand
new
system
resist
it.
The
success
transition
requires
providing
an
opportunity
for
citizens'
participation
which
expressed
with
term,
citizenship.
This
study
aims
focus
on
citizenship
dimension
wants
analyze
influence
citizens
technologies.
Design/methodology/approach
analyzed
by
using
qualitative
research
method
grounded
theory.
data
were
collected
through
open
interviews
26
players
Iran.
Then
three-step
process
open,
axial
selective
coding
was
performed
main
categories
relationships
them
identified.
Findings
Surveys
shown
that
educating
informing
provides
conditions
engagement
formation
Depending
level
awareness,
they
can
play
role
as
customers,
feedback
demanders.
Of
course,
disruption
technological
innovation
affects
engagement.
Finally,
conceptual
model
provided
effect
citizen
has
analyzed.
Originality/value
based
belief
it
citizens’
right
matters
directly
affect
their
well-being.
only
customer
user
goes
beyond
becomes
where
would
be
able
like
other
interested
(policymakers
providers).
integrates
literature
citizenship;
analyzes
according
position
against
developments.
Язык: Английский
Prediction of cryptocurrency’s price using ensemble machine learning algorithms
European Journal of Management and Business Economics,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 31, 2024
Purpose
Cryptocurrency
markets
are
gaining
popularity,
with
over
23,000
cryptocurrencies
in
2023
and
a
total
market
valuation
of
870.81
billion
USD
2023.
With
its
increasing
also
susceptible
to
volatility.
Predicting
the
price
least
fallacy
or
more
accuracy
has
become
need
hour
as
it
significantly
influences
investment
decisions.
Design/methodology/approach
This
study
aims
create
dynamic
forecasting
model
using
ensemble
method
test
top
15
cryptocurrencies’
prices.
Statistical
econometric
prediction
is
examined
after
hyper
tuning
parameters.
Drawing
inferences
from
statistical
model,
an
machine
learning
(ML)
algorithms
developed
gradient-boosted
regressor
(GBR),
random
forest
(RFR),
support
vector
regression
(SVR)
multi-layer
perceptron
(MLP).
Validation
curves
utilized
optimize
parameters
boost
accuracy.
Findings
It
found
that
when
movement
exhibits
autocorrelation,
autoregressive
integrated
moving
average
(ARIMA)
performed
better.
ARIMA,
simple
linear
(SLR),
(RF),
decision
tree
(DT),
gradient
boosting
(GB)
multi-model
(MLR)
models
well
coins,
showing
trends,
seasonality
historical
patterns
prominent.
Furthermore,
MLR
approach
produces
accurate
predictions
for
coins
higher
volatility
irregular
patterns.
Research
limitations/implications
Although
dataset
includes
crisis
period
data,
anomalies
outliers
yet
be
explicitly
excluded
analysis.
The
employed
this
still
demonstrate
high
predicting
cryptocurrency
prices
despite
these
outliers,
suggesting
robust
enough
handle
unexpected
fluctuations
extreme
events
market.
However,
lack
specific
analysis
on
impact
performance
limitation
study,
needs
fully
explore
resilience
under
adverse
conditions.
Practical
implications
present
contributes
body
literature
methods
crypto
general,
potentially
influencing
future
studies
forecasting.
motivates
researchers
empirical
testing
our
framework
various
asset
classes.
As
result,
ability
will
influence
decision-making
process
traders
investors.
research
benefits
investors
effectively
develop
forecast
price.
findings
highlight
potential
volatile
other
financial
assets.
Investors
can
design
strategies
allocation
decisions
by
understanding
relationship
between
trends
consumer
behavior.
enhance
portfolio
mitigate
risk
incorporating
insights
into
their
processes.
Policymakers
use
information
effective
regulations
policies
promoting
economic
stability
welfare.
emphasizes
diversified
understand
dynamics
improving
trading
strategies.
Originality/value
research,
best
knowledge,
first
above
data
which
have
not
been
adjusted,
outperformed
statistical,
econometric,
ML
deep
(DL)
models.
Язык: Английский