Sol ani, Haye ; Taleb, Jamila; Abbes, Mouna Boujelbène
A icle
The di ec ional spillo e e ec s and ime- equency nexus
be ween s ock ma ke s, c yp ocu ency, and in es o
sen imen du ing he COVID-19 pandemic
Eu opean Jou nal o Managemen and Business Economics (EJM&BE)
P o ided in Coope a ion wi h:
Eu opean Academy o Managemen and Business Economics (AEDEM), Vigo (Pon e ed a)
Sugges ed Ci a ion: Sol ani, Haye ; Taleb, Jamila; Abbes, Mouna Boujelbène (2025) : The di ec ional
spillo e e ec s and ime- equency nexus be ween s ock ma ke s, c yp ocu ency, and in es o
sen imen du ing he COVID-19 pandemic, Eu opean Jou nal o Managemen and Business
Economics (EJM&BE), ISSN 2444-8451, Eme ald, Leeds, Vol. 34, Iss. 1, pp. 23-46,
h ps://doi.o g/10.1108/EJMBE-09-2022-0305
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The di ec ional spillo e e ec s
and ime- equency nexus be ween
s ock ma ke s, c yp ocu ency,
and in es o sen imen du ing
he COVID-19 pandemic
Haye Sol ani, Jamila Taleb and Mouna Boujelb
ene Abbes
Facul y o Economics and Managemen o S ax, Uni e si y o S ax,
S ax, Tunisia
Abs ac
Pu pose –This pape aims o analyze he connec edness be ween Gul Coope a ion Council (GCC) s ock
ma ke index and c yp ocu encies. I in es iga es he ele an impac o Ra enPack COVID sen imen on he
dynamic o s ock ma ke indices and con en ional c yp ocu encies as well as hei Islamic coun e pa s
du ing he onse o he COVID-19 c isis.
Design/me hodology/app oach –The au ho s ely on he me hodology o Diebold and Yilmaz (2012, 2014)
o cons uc ne wo k-associa ed measu es. Then, he wa ele cohe ence model was applied o explo e
co-mo emen s be ween GCC s ock ma ke s, c yp ocu encies and Ra enPack COVID sen imen . As a
obus ness check, he au ho s used he ime- equency connec edness de elopedby Ba unik and K ehlik (2018)
o e i y he di ec ion and scale connec edness among hese ma ke s.
Findings –The esul s illus a e he e ec o COVID-19 on all c yp ocu ency ma ke s. The ime a ia ions o
s ock e u ns display s ylized ac ails and ola ili y clus e ing o all e u n se ies. This s ess ul pe iod
inc eased in es o pessimism and ea s and gene a ed nega i e emo ions. The indings also highligh a high
spillo e o shocks be ween Ra enPack COVID sen imen , Islamic and con en ional s ock e u n indices and
c yp ocu encies. In addi ion, we ind ha Ra enPack COVID sen imen is he main ne ansmi e o shocks
o all con en ional ma ke indices and ha mos Islamic indices and c yp ocu encies a e ne ecei e s.
P ac ical implica ions –This s udy p o ides wo main ypes o implica ions: On he one hand, i helps und
manage s adjus he isk exposu e o hei po olioby including s ocks ha signi ican ly espond o COVID-19
sen imen and hose ha do no . On he o he hand, he ola ili y mechanism and in es o sen imen can be
in e es ing o in es o s as i allows hem o conside he dynamics o each ma ke and hus op imize he asse
po olio alloca ion.
O iginali y/ alue –This inding sugges s ha he Ra enPack COVID sen imen is a ne ansmi e o
shocks. I is conside ed a p ominen channel o shock spillo e s du ing he heal h c isis, which con i ms he
beha io al con agion. This s udy also iden i ies he con ibu ion o pa icula in e es o und manage s and
in es o s. In ac , i helps hem design hei po olio s a egy acco dingly.
Keywo ds C yp ocu encies, Ra enPack COVID sen imen , COVID-19 pandemic,
Diebold–Yilmaz spillo e index, Wa ele cohe ence
Pape ype Resea ch pape
Di ec ional
spillo e
e ec s du ing
COVID-19
23
© Haye Sol ani, Jamila Taleb and Mouna Boujelb
ene Abbes. Published in Eu opean Jou nal o
Managemen and Business Economics. Published by Eme ald Publishing Limi ed. This a icle is
published unde he C ea i e Commons A ibu ion (CC BY 4.0) licence. Anyone may ep oduce,
dis ibu e, ansla e and c ea e de i a i e wo ks o his a icle ( o bo h comme cial and non comme cial
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no con lic o in e es .
The cu en issue and ull ex a chi e o his jou nal is a ailable on Eme ald Insigh a :
h ps://www.eme ald.com/insigh /2444-8494.h m
Recei ed 25 Sep embe 2022
Re ised 15 Janua y 2023
16 Feb ua y 2023
28 Feb ua y 2023
Accep ed 3 Ma ch 2023
Eu opean Jou nal o Managemen
and Business Economics
Vol. 34 No. 1, 2025
pp. 23-46
Eme ald Publishing Limi ed
e-ISSN: 2444-8494
p-ISSN: 2444-8451
DOI 10.1108/EJMBE-09-2022-0305
1. In oduc ion
The COVID-19 pandemic is no only a heal h c isis. I also poses a g owing h ea o he
agile Chinese and global inancial ma ke s, which ha e aced emendous unce ain ies
du ing his pe iod. I di e s om o he c ises in i s b oad impac and dis ibu ional
consequences. Indeed, i is hi ing al eady s agnan and agile economies in he Middle Eas
and No h A ica (MENA) wi h lockdowns, dis up ed supply chains, d ama ic declines in
ou ism e enues and labo emi ances and empo a ily low oil p ices (Alaoui Mdagh i e al.,
2021;Bani-Khala and Taspina , 2022;Mehdi e al., 2022).
Indeed, o e he pas wo decades, shocks and c ises ansmi ed o inancial ma ke s ha e
led o s uc u al changes in he ola ili y o c yp ocu encies. This has p omp ed in es o s o
examine he in e connec i i y, isk ans e and hedging s a egies be ween he inancial
ma ke s and c yp ocu encies. In ac , c yp ocu encies ha e ecei ed subs an ial a en ion
om he public, in gene al, and in es o s and esea che s, in pa icula . Speci ically, he
launch o c yp ocu encies in he MENA egion is expec ed o ha e a signi ican impac on
he economic and inancial sys em o he egion. Thus, he low cos and secu i y o i ual
ansac ions highligh he impo ance o his elec onic paymen me hod and i s signi ican
ole in he inancial sys em o he MENA egion (Sayed and Abbas, 2018). The e o e,
unde s anding he impac o he c yp ocu ency ma ke as one o he de e minan s o Gul
Coope a ion Council (GCC) s ock ma ke e u ns is c ucial.
Fo ins ance, se e al ecen esea ch s udies ocused on he impac o COVID–19 on
inancial ma ke s in gene al and inancial asse s, such as c yp ocu encies and gold, in
pa icula (Co be e al., 2020;Zhang e al., 2020). In ac , Zhang e al. (2020) conclude ha he
ins abili y and economic damage caused by he pandemic made he inancial ma ke highly
unp edic able and ola ile. In addi ion, Al-Awadhi e al. (2020) s a e ha he daily g ow h o
o al cases and dea hs nega i ely co ela es wi h he s ock ma ke pe o mance. In ac ,
in es o s’expec a ions o isk and e u n ha e changed, leading hem o ealloca e hei
po olios. Al hough some s udies ha e examined he ela ionship be ween c yp ocu encies
and inancial ma ke s, many ha e been limi ed many o a single coun y (Al-Awadhi e al.,
2020;Na ayan e al., 2020) o ha e used i an in e na ional sample wi hou conside ing he
issue o connec i i y (Bou i e al., 2021). The gap in exis ing esea ch mo i a ed us o
in es iga e he shock ansmission be ween Ra enPack COVID sen imen , GCC inancial
s ock ma ke and c yp ocu encies du ing he COVID-19 pandemic.
To he bes o ou knowledge, his s udy is he i s o conduc a o mal and obus
empi ical in es iga ion o he impac o COVID-19 on he ola ili y in e connec ion be ween
he Ra enPack COVID sen imen , he GCC inancial ma ke , and, pa icula ly, he Islamic and
con en ional c yp ocu encies. To achie e his goal, we examine spillo e e ec s be ween
hese a iables using he VAR-based spillo e index app oach om he gene alized VAR
amewo k in oduced by Diebold and Yilmaz (2012). This me hod iden i ies he di ec ional
connec edness pe spec i e. I also measu es he le els o his connec edness, i.e. o al
connec edness, o al di ec ional connec edness, and pai wise di ec ional connec edness om
one a iable o ano he . Addi ionally, we apply wa ele cohe ence o examine he
co-mo emen s be ween hese a iables in a join ime- equency domain. This echnique
was p oposed o imp o e he accu acy o inancial ime se ies o ecas ing, which can p o ide
a ma ix o accommoda e he co ela ion a each ime and equency poin . This ad an age
allows us o obse e he change in consis ency be ween GCC s ock ma ke e u ns,
c yp ocu ency e u ns and Ra enPack COVID sen imen .
The pape is he e o e o ganized as ollows: Sec ion 2 e iews ecen esea ch ele an o
ou s udy. Sec ion 3 desc ibes he applied me hodology in de ail. Sec ion 4 in oduces he da a
and ou p elimina y analyses. In sec ion 5, we e eal and discuss he main empi ical esul s
achie ed in his esea ch. Finally, he las sec ion concludes he pape .
EJMBE
34,1
24
2. Li e a u e e iew
The COVID-19 pandemic has been one o he mos economically cos ly pandemics in ecen
his o y. In ac , Ash a (2021) shows ha he decline in s ock e u ns as a esponse o he
inc easing numbe o con i med cases is g ea e in coun ies whose in es o s ha e highe
domes ic unce ain y a e sion. Fo hei pa , Liu e al. (2021) indica e ha COVID-19
inc eases he isk o s ock ma ke c ashes in China. Mo e p ecisely, inancial ma ke s
con inue o expe ience a downwa d end wo ldwide due o in es o s’lack o in e es in
iskie asse s and ha e los nea ly $3 illion since he s a o he pandemic (Fo bes, 2020). In
ac , he COVID-19 c isis di e s om o he c ises because o i s b oad impac s and
dis ibu ional consequences. I is clea ha he MENA egion will no be he same a e his
pandemic. Indeed, he economic impac s a e el he mos : inancial ma ke s collapse, ou is s
e apo a e due o ligh bans and closu es, and oil p ices d op. Wi h he UAE canceling i s
Expo 2020 and Saudi A abia banning he annual hajj pilg image, bo h s a es ha e los
hund eds o millions o dolla s. In ac , he UAE was expec ed o a ac 25mn isi o s o i s
Expo 2020 in Oc obe 2020, and Saudi A abia used o ecei e 20mn eligious pilg ims each
yea (Ng, 2020). Meanwhile, Egyp is losing abou $1bn pe mon h in los ou is e enue
(Bianco and Wildangel, 2020). Indeed, he pandemic has dep essed he oil p ice as demand
d ies up. Like global ma ke s, GCC ma ke s ha e also been ending downwa d by an
a e age o 20% since he epo ing o he i s case o COVID-19 in he UAE. In es o s
con inue o lose daily due o he declining ma ke end. In Ma ch 2020, in es o s in Dubai,
Abu Dhabi, Saudi A abia, Kuwai and Qa a los nea ly $6bn, $8.3bn, $41bn, $2.8bn and
$11.9bn, espec i ely, in a single day (Khaleej Times, 2020).One o he mos a ec ed sec o s in
he UAE is eal es a e, wi h Chinese businessmen being he main in es o s in eal es a e
p ojec s in Dubai (Ng, 2020). As China eco e s om he e ec s o he pandemic, many
Chinese in es o s emain eluc an o make new ansac ions. E en be o e he epidemic, he
UAE aced an economic ca as ophe due o he Dubai bubble (Solomon, 2020).In addi ion,
Qa a ’s s ock ma ke s a e also su e ing om he impac o COVID-19, including he oil and
gas, inancial se ices, eal es a e and elecommunica ion s ock ma ke s, which ha e
collapsed despi e a 10bn Rial s imulus package o he s ock ma ke (KPMG, 2020).
The pandemic dis up ed businesses and caused unp eceden ed luc ua ions in commodi y
p ices, esul ing in a 21 and 6.15% decline in he s ock ma ke s o Bah ain and Kuwai ,
espec i ely (KPMG, 2020). The The Wo ld Bank Economic Upda e (2020) indica es ha
Oman’s economy will also emain unde s ess as he oil and gas, banking, ou ism and
logis ics sec o s a e in a de ici . Likewise, Mensi e al. (2020) examine he impac s o COVID-19
on he mul i ac ali y o gold and oil p ices unde upwa d and downwa d ends. They show
s ong e idence o asymme ic mul i ac ali y ha inc eases wi h a ising ac ali y scale.
Mo eo e , mul i ac ali y is pa icula ly highe in he down end (up end) o B en oil
(gold). This excess asymme y inc eased du ing he COVID-19 ou b eak. Akh a uzzaman
e al. (2021) also examine he way inancial con agion occu s ac oss inancial and non-
inancial i ms be ween China and G7 coun ies du ing COVID-19. Thei empi ical esul s
show ha inancial and non- inancial lis ed i ms in hese coun ies expe ience a signi ican
inc ease in condi ional co ela ions be ween hei s ock e u ns. Howe e , he e is li le
indus y-le el esea ch on he e ec o COVID-19 on c yp ocu ency p ices in he exis ing
li e a u e. The e a e also se e al indus y limi a ions a he economic le el o COVID-19
(Yang e al., 2016;Bou i e al., 2019;Gomes and Guba e a, 2021).
These s udies on he in e dependence o o eign exchange and c yp ocu ency ma ke s
a e a ac ing conside able esea ch in e es om a con agion pe spec i e. Speci ically, he
COVID-19 c isis has nega i ely in luenced he po en ial ole o c yp ocu encies as
di e si ied in es men s (Tiwa i e al., 2019;Gil-Alana e al., 2020).The e o e, s udying he
dynamics o ia cu encies and c yp ocu encies h ough he COVID-19 bea ma ke and i s
ini ial eco e y can be bene icial. I o e s a unique oppo uni y o examine he economic
Di ec ional
spillo e
e ec s du ing
COVID-19
25
impac o his pandemic on he inancial sys em and i s s abili y as a whole. In ac , join
dynamics o con en ional cu encies,suchasEUR,GBPandRMB,andmajo
c yp ocu encies ha e been explo ed ecen ly (e.g. K is janpolle and Bou i,
2019).The e o e, analyzing he beha io o c yp ocu encies ela i e o majo ia
cu encies is ecommended. In ac , i helps o assess he po en ial abili y o
c yp ocu encies o se e as a hedging medium o ia cu encies in imes o global c isis,
such as he COVID-19 pandemic u moil.
Recen ly, Fakh ekh and Je ibi (2020) ha e ocused on modeling he ola ili y dynamics o
c yp ocu encies. Howe e , ew s udies ha e in es iga ed ola ili y ansmission be ween
Bi coin and o he c yp ocu encies (Ka siampa e al., 2019;Beneki e al., 2019). Indeed, Agos o
and Ca e a a (2020) s udy he ela ionship be ween he explosi e beha io s o
c yp ocu encies using a uni oo es app oach. They p o e a s ong in e dependence in
he c yp ocu ency ma ke (as Co be e al., 2018 and Yi e al., 2018).In his con ex , Aslanidis
e al. (2019) examine he condi ional co ela ions be ween ou c yp ocu encies (Bi coin,
Mone o, Dash and Ripple), he S&P 500, bonds and gold. They show ha he s udied
c yp ocu encies a e highly co ela ed. Howe e , he associa ion be ween c yp ocu encies
and con en ional inancial asse s is negligible.
Using a copula-ADCC-EGARCH model, Tiwa i e al. (2019) in es iga e he ime- a ying
co ela ions be ween six c yp ocu encies and he S&P 500 index ma ke s. They s a e ha
he o e all ime- a ying co ela ions a e e y low, which indica es ha c yp ocu encies
se e as a hedging asse agains he isk o he S&P 500 s ock ma ke . They also show ha
ola ili ies espond mo e o a nega i e han a posi i e shock in bo h ma ke s. In addi ion, hey
iden i y Li ecoin as he mos e ec i e hedging asse agains S&P 500 isk. As a esul , hey
conclude ha c yp ocu ency migh be one o he mos impo an elemen s in po olio
di e si ica ion. Fu he mo e, Cha eddine e al. (2020) s udy he dynamic ela ionship
be ween Bi coin and E he eum and majo commodi ies and inancial s ocks. They con i m
ha hese wo c yp ocu encies can be ideal o inancial di e si ica ion. Mo e in e es ingly,
Bane jee e al. (2022) ind ha COVID-19 news sen imen in luences c yp ocu ency e u ns.
In ac , unlike p e ious esul s, he link is unidi ec ional be ween news sen imen and
c yp ocu ency e u ns. Indeed, Ozdama e al. (2022) a es ha e ail (ins i u ional) in es o
a en ion has a nega i e (posi i e) e ec on c yp ocu ency e u ns. Mo eo e , e ail
(ins i u ional) in es o a en ion agg a a es (cons ains) idiosync a ic isk while bo h ypes
o a en ion boos c yp ocu ency ma ke liquidi y.
Unlike adi ional c yp ocu encies, Islamic c yp ocu encies a e suppo ed by
quan i iable inancial undamen als ha main ain hei alue. They a e new echnical
applica ions ha le e age exis ing blockchains o mee he eligious equi emen s o some
in es o s. The mos common c yp ocu encies ha comply wi h Islamic laws a e X8X,
HelloGold and OneG am (Lahmi i and Beki os, 2019). These a e based on gold, which is one o
six “Rabawi”commodi ies app o ed by Muslim in es o s. Fo hose seeking o sa is y
eligious needs, in es ing in hese eme ging inno a ions is an in iguing p oposi ion.
Ne e heless, he e is li le in es iga ion in o he dynamics o Islamic and con en ional
c yp ocu encies du ing he heal h c isis (Mni e al., 2020). To ill his gap in he exis ing
li e a u e, his s udy aims o examine he ele an impac o Ra enPack COVID sen imen on
he dynamics o s ock ma ke indices and con en ional c yp ocu encies as well as hei
Islamic coun e pa s du ing he onse o he COVID-19 c isis.
3. Me hodological app oach
This s udy aims o examine he impac o Ra enPack COVID sen imen on he dynamics o
con en ional and Islamic s ock indices, as well as c yp ocu encies, du ing he onse o he
COVID-19 c isis. I analyzes he co ela ion be ween hese a iables o e he heal h c isis
EJMBE
34,1
26
pe iod. Fo ou modeling objec i e, we use a wo-s ep me hodology: Fi s , in o de o analyze
he spillo e e ec be ween in es o sen imen p oxies and s ock ma ke e u n, we s a wi h
he me hodology p oposed by Diebold and Yilmaz (2012). Mo e p ecisely, we apply Diebold
and Yilmaz’s connec edness index o quan i y he s a ic and dynamic connec edness o
in es o sen imen and inancial ma ke s du ing he COVID-19 c isis. Second, we use he
wa ele cohe ence model o explo e he co-mo emen s be ween hese a iables o di e en
ime equencies.
3.1 The di ec ional spillo e model
In his esea ch, we explo e he co-mo emen be ween he Ra enPack COVID sen imen and
con en ional and Islamic s ock indices, as well as c yp ocu encies, using he spillo e index
app oach de eloped by Diebold and Yilmaz (2012). In ac , o al, di ec ional and ne spillo e s
can all be iden i ied using his app oach. Indeed, he DY model is based on he ec o
au o eg essi e VAR model (Pesa an and Shin, 1998), which is desc ibed as ollows:
y ¼XP
i¼1
π
iy −iþ
ε
;(1)
whe e
ε
∼i:id ∼ð0;PÞ;
π
icon ains N3Nma ix o eg ession pa ame e s,
ε
is he ec o
o iden ically and independen ly dis ibu ed e o s wi h Pbeing hei a iance-co a iance
ma ix.
The VAR (p) model can he e o e be w i en as ollows:
y ¼X∞
i¼0θi
ε
−i(2)
θi¼
π
1θi−1þ
π
2θi−2þ...þ
π
pθi−p(3)
whe e θiis he N 3Nma ix o mo ing a e age coe icien s and θ0p o ides an N 3Niden i y
ma ix and θi¼0∀i<0.
Acco ding o Pesa an and Shin (1998), heH-s ep-ahead o ecas -e o a iance
decomposi ion is exp essed as ollows:
dg
ijðHÞ¼
−1
jj PH−1
h¼0e0
i
π
hPej2
PH−1
h¼0e0
i
π
0
hPei2(4)
The squa e oo o he diagonal elemen s o he a iance-co a iance ma ix is ep esen ed by
jj. In he VAR model, he shocks o each a iable a e no o hogonal, i.e. hey a e di e en
om one o he sums o own and c oss- a iance o he a iables in each ow o he a iance
decomposi ion ma ix. As a esul , he elemen s o he decomposi ion ma ix a e no malized:
d
g
ijðHÞ¼ dg
jjðHÞ
PN
j¼1dg
ijðHÞ(5)
wi h, PN
j¼1e
dg
ijðHÞ¼1 and PN
i;j¼1e
dg
ijðHÞ¼N.
In ac , he no malized elemen s o he decomposi ion ma ix in equa ion (6) can be used o
gene a e a o al spillo e (TS). Fu he mo e, we can calcula e he di ec ional and ne spillo e
(NS) as ollows:
TSgðHÞ¼
Pi;j¼1
i≠je
dg
ijðHÞ
PN
i;j¼1e
dg
ijðHÞ
3100 ¼
Pi;j¼1
i≠je
dg
ijðHÞ
N3100 (6)
Di ec ional
spillo e
e ec s du ing
COVID-19
27
Wi h :DS g
i←jðHÞ¼PN
j¼1;i≠je
dg
jiðHÞ
N3100 (7)
DS g
i←jðHÞ¼PN
j¼1;i≠je
dg
jiðHÞ
N3100 (8)
NS g
iðHÞ¼DS g
i←jðHÞDS g
i←jðHÞ(9)
Then, he a e age con ibu ion o he shock spillo e s ac oss he a iables o he o al
o ecas e o a iance is measu ed by he TS index. In ac , he DS in equa ion (7) es ima es
he spillo e e ec s om all o he ma ke s j o ma ke i o i#j. Howe e , he DS in equa ion
(8) measu es he spillo e e ec s om ma ke i o all o he ma ke s j.
Mo eo e , we should no e ha equa ions (7) and (8) a e used o calcula e NS o iden i y he
a iables as sende s o ecei e s o ne shocks. The e o e, when NS is nega i e, ma ke iis a
ne ecei e o spillo e e ec s. Howe e , a posi i e alue o NS indica es ha spillo e e ec s
o igina e om ma ke i o all o he ma ke s (ne ansmi e ).
3.2 The wa ele cohe ence model
The con inuous wa ele decomposi ion model is used o iden i y he mul i-ho izon na u e o
he co-mo emen be ween Ra enPack COVID sen imen , con en ional and Islamic index
e u ns and c yp ocu encies. I allows us o illus a e he e olu ion o local co ela ions o e
ime and equency. Thus, a ed a ea a he op (bo om) o he g aph deno es a s ong
co ela ion a high (low) equency, while a ed a ea on he le ( igh ) implies a s ong
co ela ion a he beginning (end) o he sample pe iod. Fo wo- ime se ies xð Þand yð Þ, he
wa ele -squa ed cohe ence, simila o Fou ie ’s analysis, is de ined as he absolu e squa ed
alue o he smoo hed c oss-wa ele spec um, which is no malized by he powe spec um o
he smoo hed wa ele s:
R2ð
τ
;sÞ¼
Sðs−1Wx;yð
τ
;sÞÞ
2
jSðs−1Wyð
τ
;sÞÞjjSðs−1Wyð
τ
;sÞÞj (10)
whe e: Sdeno es a smoo hing ope a o in ime and scale. Since he heo e ical dis ibu ions o
wa ele cohe ence a e unknown, he 5% s a is ical signi icance le el is de e mined using
Mon e Ca lo Simula ion. We can use he wa ele -squa ed cohe ence o measu e he
adi ional co ela ion o wo- ime se ies in ime and scale. As a esul , he wa ele squa ed
cohe ence coe icien R2ð
τ
;s) is be ween 0 and 1, wi h a high (low) dependence alue
ep esen ing a s ong (weak) co-mo emen . By obse ing he wa ele squa ed cohe ence
g aph, we can de ec egions in ime- equency space whe e he wo- ime se ies mo e
oge he and pa icula ly cap u e bo h ime- and equency- a ying co-mo emen ea u es
(G ins ed e al., 2004;Rua and Nunes, 2009;Dewanda u e al., 2014).
4. Da a and p elimina y analysis
4.1 Da a
In his s udy, we use daily and mon hly p ice da a om he GCC s ock ma ke indices, he
Ra enPack COVID sen imen , and he six majo c yp ocu encies: Bi coin (BTC), E he eum
(ETH), and Ripple (XRP) and hei Islamic coun e pa s X8X Token (X8X), Halalchain (HLC),
and HelloGold (HGT). Closing p ices we e ob ained om Da as eam and CoinMa ke Cap [1].
We choose hese c yp ocu encies based on hei ma ke capi aliza ion and a ailabili y. The
con en ional c yp ocu encies, Bi coin, E he eum, and Ripple (XRP), ha e he la ges ma ke
capi aliza ion. On he o he hand, Halalchain, HelloGold, and X8X ha e been ce i iedas
EJMBE
34,1
28
Islamic complian . The s udy pe iod is om Janua y 1, 2018, o Decembe 21, 2022. We
conside wo sub-pe iods: he p e-c isis pe iod (Janua y 1, 2018, o No embe 30, 2019) and he
COVID-19 pe iod (Decembe 2, 2019, o Decembe 21, 2022). The daily e u n is calcula ed as
ollows:
RET ¼lnP lnP −1(11)
whe e: P and P −1deno e he closing p ice o he GCC s ock index o c yp ocu encies a ime
and –1, espec i ely. Following Fo bes and Rigobon (2002) and Akh a uzzaman and
Shamsuddin (2016), closing p ices a e eco ded in local cu encies. Fu he mo e, Mink (2015)
a gues ha i would be mo e app op ia e o use e u ns denomina ed in local cu ency han
hose in a common cu ency (e.g. e u ns denomina ed in US dolla s). This is because only
e u ns denomina ed in local cu ency accu a ely e lec p ice luc ua ions in na ional s ock
ma ke s. Howe e , e u ns con e ed in o a common cu ency e lec exchange a e
luc ua ions.
The e o e, Ra enPack COVID sen imen is a new indica o o measu e he GCC in es o
sen imen om Decembe 2, 2019, o Decembe 21, 2022. We ob ain da a o Ra enPack
COVID sen imen om he Ra enPack da abase [2].
4.2 P elimina y analysis
Table 1 p esen s he desc ip i e s a is ics o con en ional and Islamic e u ns o he six
inancial ma ke s (Panel A and Panel B, espec i ely) and he six c yp ocu encies (Panel C).
In ac , o all pe iods s udied, a close look a his able shows a posi i e a e age o mos
con en ional and Islamic s ock e u ns, excep Bah ain and Oman. All con en ional and
Islamic mon hly e u n se ies show excess ku osis. Mo eo e , o bo h skewness and
ku osis measu es, he esul s o he Ja que–Be a no mali y es ejec he null hypo hesis o
no mal dis ibu ion. Howe e , du ing he COVID-19 shock pe iod, Ra enPack’s COVID
sen imen showed nega i e a e age e u ns. We also no ice ha he con en ional
c yp ocu ency (Bi coin) has he lowes isk. Howe e , Islamic c yp ocu encies
(Halachain, HelloGold and X8X_Token) egis e he highes isk wi h s anda d de ia ions
o 0.247641, 0.277908, and 0.245447, espec i ely. Acco ding o he skewness and ku osis
indica o s, as well as he Ja que–Be a es , all se ies signi ican ly de ia e om he no mal
dis ibu ion.
Figu es 1 and 2 illus a e he e olu ion o he GCC s ock ma ke and c yp ocu ency
e u ns om Janua y 1, 2018, o Decembe 21, 2022. A e ex eme ola ili y s a ing in
Decembe 2019, he GCC s ock ma ke index declined signi ican ly. Indeed, since he global
sp ead o COVID-19, panic has p e ailed in he inancial ma ke s. As a esul , se e al ma ke s
a ound he wo ld con inued o all. Mo eo e , acco ding o Figu e 2, c yp ocu ency e u ns
show high luc ua ions. In ac , he impac o COVID-19 is obse ed in all c yp ocu ency
ma ke s. The ime a ia ions in s ock e u ns display s ylized ac ails and ola ili y
clus e ing o all e u n se ies. This s ess ul pe iod inc eased in es o pessimism and ea s
and gene a ed nega i e emo ions. As a esul , i d o e in es o s o sell hei sha es and exi
he s ock ma ke . In e es ingly, his beha io u he ampli ied he de e io a ion o he GCC
inancial ma ke .
5. Empi ical esul s and discussion
5.1 The spillo e s uc u e be ween he Ra enPack COVID sen imen and inancial ma ke
index e u ns
In his sec ion, we e e o he spillo e index app oach de eloped by Diebold and Yilmaz
(2012) o explo e he co-mo emen be ween he Ra enPack COVID sen imen and
Di ec ional
spillo e
e ec s du ing
COVID-19
29
Full sample: F om Janua y 1, 2018 o Decembe 21, 2022
Bah ain Kuwai Oman Qa a Saudi A abia UAE
Panel A: Con en ional index e u ns
Mean 0.000394 0.000361 7.59E-06 0.000162 0.000370 0.000592
Max 0.034233 0.061446 0.027620 0.048530 0.068315 0.080762
Min 0.060006 0.293565 0.057350 0.102077 0.086846 0.084063
S . D 0.005030 0.011395 0.004988 0.008520 0.009450 0.010264
Sk 1.587710 11.05766 0.827988 0.983397 1.384840 0.363630
Ku 22.46852 262.1617 15.72638 17.40558 16.40645 19.39977
JB 29409.98 5113504 12448.80 15977.49 14164.61 20368.30
Panel B: Islamic index e u ns
Mean 0.000150 0.000355 0.000129 5.07E-05 0.000197 0.000299
Max 0.088677 0.056758 0.030007 0.050791 0.078117 0.076350
Min 0.082752 0.111291 0.049481 0.099417 0.081500 0.100405
S . D 0.010707 0.008769 0.005990 0.007829 0.008873 0.009846
Sk 0.215506 2.989991 0.579469 1.025973 1.293249 1.281378
Ku 15.66093 43.09163 12.32175 21.45611 20.07758 27.37355
JB 12063.12 123506.3 6632.572 25920.37 22424.74 45147.92
BITCOIN ETHEREUM XPR HALALCHAIN HELLOGOLD X8X_TOKEN
Panel C: C yp ocu encies e u ns
Mean 0.001895 0.002206 0.001247 0.002094 0.000811 0.014790
Max 0.176044 0.219405 0.423353 1.966510 4.009822 2.773463
Min 0.433714 0.563071 0.549549 1.618760 4.543656 1.971844
S . D 0.038626 0.0524499 0.062193 0.186324 0.302688 0.235321
Sk 1.215413 1.367350 0.045004 0.102793 0.906739 3.030687
Ku 19.14438 17.26383 17.96167 30.01108 115.3699 50.32298
JB 12461.20 9861.226 10465.44 34110.71 590466.0 106412.6
COVID-19 heal h c isis pe iod ( om Decembe 2, 2019 o Decembe 21, 2022)
Bah ain Kuwai Oman Qa a Saudi A abia UAE
Panel A: Con en ional index e u ns
Mean 0.000335 0.000284 0.000195 0.000156 0.000362 0.000588
Max 0.034233 0.061446 0.027620 0.034106 0.068315 0.080762
Min 0.060006 0.116340 0.057350 0.102077 0.086846 0.084063
S . D 0.005670 0.010529 0.005407 0.008492 0.010034 0.011523
Sk 1.830149 3.264765 1.121334 1.727672 1.794459 0.452809
Ku 22.00037 39.45543 17.57530 24.42590 18.98901 19.09522
JB 17425.74 63838.11 10121.37 21921.52 12497.78 12095.07
Panel B: Islamic index e u ns
Mean 8.76E-05 0.000323 3.08E-06 3.84E-05 0.000258 0.000650
Max 0.088677 0.056758 0.030007 0.036374 0.078117 0.076350
Min 0.082752 0.111291 0.049481 0.099417 0.081500 0.100405
S . D 0.010497 0.010201 0.006427 0.007762 0.009562 0.011435
Sk 0.002146 3.078752 0.716844 1.842290 1.616923 1.379493
Ku 21.54297 37.79873 13.16410 29.39142 21.97256 23.85981
JB 15888.35 57708.03 4868.715 32811.77 17116.29 20458.44
Panel C: Ra enPack COVID sen imen
Mean 2.315216 2.205838 3.495595 2.025324 6.980351 8.204676
Max 11.50000 15.36000 19.40000 23.39000 20.78000 17.89000
Min 23.23000 27.94000 30.04000 33.85000 51.29000 45.21000
(con inued)
Table 1.
Desc ip i e s a is ics
EJMBE
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Figu e 3.
Co ela ion be ween
Ra enPack COVID
sen imen and
con en ional index
e u ns
Di ec ional
spillo e
e ec s du ing
COVID-19
37
Figu e 4.
Co ela ion be ween
Ra enPack COVID
sen imen and Islamic
index e u ns
EJMBE
34,1
38
Figu e 5.
Co ela ion be ween
Ra enPack COVID
sen imen and
C yp ocu encies
Di ec ional
spillo e
e ec s du ing
COVID-19
39
Al hough coun e in ui i e, his posi i e consis ency be ween Ra enPack COVID sen imen
and he long- un inancial and c yp ocu ency ma ke s is in line wi h he indings o
Goodell and Gou e (2021) and Sha i e al. (2020). The di e ence in esul s ega ding he
in es men ho izon e lec s he di e ences in pe cep ion be ween sho - e m and longe -
e m in es o s. Se e al s udies ha e acknowledged ha isk can dec ease signi ican ly i
he asse is held o a longe pe iod (Bu le and Domian, 1991). In ou case, long- e m
in es o s seem o be insula ed om he sho - e m ma ke luc ua ions induced by he ea
o COVID-19. This esul con i ms he se e e e ec o he COVID-19 pandemic on he
inancial ma ke s du ing he s udy pe iod. Fo ins ance, digi al cu encies can se e as a
s o e o alue du ing pe iods o ma ke u bulence. Indeed, hey also ep esen a sou ce o
po olio di e si ica ion. In his con ex , Gil-Alana e al. (2020) iden i y ha
c yp ocu encies can be an impo an di e si ica ion op ion o in es o s, mainly Bi coin
and E he eum.
Omane-Adjepong and Alagidede (2019) p o e ha all di e si ica ion bene i s wi hin
c yp ocu encies a e mos commonly ound in in a-week o in a-mon h ime ho izons o
speci ic ma ke pai s. Howe e , he le el o in e -ma ke connec i i y and ola ili y links a e
iden i ied as sensi i e o bo h liquidi y and ola ili y. Addi ionally, Liu (2019) p o ides
e idence ha po olio di e si ica ion ac oss di e en c yp ocu encies can signi ican ly
imp o e in es men ou comes. When speci ically examining he ma ke ela ionships
be ween c yp ocu encies and o he con en ional inancial a iables, Bou i e al. (2017) ind
ha Bi coin is a poo hedge and only sui able o di e si ica ion pu poses. This inding is
echoed when examining he S&P500 exchange (Tiwa i e al., 2019), Eu os oxx 50, Nikkei 225
and CSI 300 (Feng e al., 2018).
6. Robus ness check
In o de o e i y he obus ness o ou empi ical indings, we apply he ime- equency
connec edness de eloped by Ba un
ık and K
ehl
ık (2018) o check he di ec ion and scale
connec edness among hese ma ke s. Speci ically, we decompose he connec edness in o wo
di e en equency bands: he sho and long e ms, co esponding o abou one– ou days
and mo e han 10 days, espec i ely.
Figu e 6 plo s he o al ola ili y connec edness du ing a 100-mon h olling window as he
p edic i e ho izon o he unde lying decomposi ion. The o al ola ili y connec edness
depic s long- un luc ua ions a he han sho - un ones o e he en i e pe iod. The o al
ola ili y connec edness peaked du ing he COVID-19 heal h c isis. I inc eased sha ply in
2020 om 20% o 45%, which sugges s ha s ong connec edness mainly happens in he
long e m. In addi ion, since he second hal o 2020, when he pandemic was widesp ead, o al
connec edness has inc eased again, eaching a his o ical peak (45% o Saudi A abia) in
Ma ch 2020. Mo eo e , he TS index e ol es ab up ly, sugges ing he exis ence o majo
shocks lowe ing connec i i y be ween di e en GCC ma ke s.
7. Conclusion
The COVID-19 pandemic has become a se ious h ea o he GCC and global economies. Gi en
he unknown pa hways o i s sp ead and i ulence, which c ea ed huge eco e y and ea ning
oppo uni ies, i is di icul o assess i s se e i y. Fu he mo e, iden i ying he connec edness
be ween he Gul Council Coope a ion (GCC) s ock ma ke index and six c yp ocu encies is
essen ial o e ec i e isk managemen and po olio di e si ica ion. Thus, in o de o ex end
he exis ing li e a u e in his ield, his a icle mainly in es iga ed he shock ansmission
be ween Ra enPack COVID sen imen , he GCC s ock ma ke , and c yp ocu encies du ing
he heal h c isis pe iod.
EJMBE
34,1
40
0.0
0.4
0.8
1.2
1.6
2.0
II III IV III III IV III III IV
2020 2021 2022
Bah ain: Sho _ e m
5
10
15
20
25
30
35
40
II III IV III III IV III III IV
2020 2021 2022
Bah ain: Long _ e m
0.0
0.5
1.0
1.5
2.0
2.5
3.0
II III IV III III IV III III IV
2020 2021 2022
Kuwai : Sho _ e m
20
24
28
32
36
40
44
II III IV III III IV III III IV
2020 2021 2022
Kuwai : Long _ e m
.0
.1
.2
.3
.4
.5
.6
.7
.8
II III IV III III IV III III IV
2020 2021 2022
Oman: Sho _ e m
10
15
20
25
30
35
40
II III IV III III IV III III IV
2020 2021 2022
Oman: Long _ e m
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
II III IV III III IV III III IV
2020 2021 2022
Qa a : Sho _ e m
16
20
24
28
32
36
40
II III IV III III IV III III IV
2020 2021 2022
Qa a : Long _ e m
(con inued)
Figu e 6.
Dynamic equency
connec edness o he
Ra enPack COVID
sen imen and
con en ional and
Islamic s ock ma ke s
index and
c yp ocu encies
e u ns
Di ec ional
spillo e
e ec s du ing
COVID-19
41
Mo eo e , we elied on he me hodology o Diebold and Yilmaz (2012,2014) o cons uc
ne wo k-associa ed measu es. Then, he wa ele cohe ence model was applied o explo e he
co-mo emen s be ween GCC s ock ma ke s, c yp ocu encies and Ra enPack COVID
sen imen . In o de o check he obus ness o ou esul s, we employed he ime- equency
connec edness de eloped by Ba un
ık and K
ehl
ık (2018). In ac , ou empi ical analysis
illus a es he e ec o COVID-19 on all c yp ocu ency ma ke s. The ime a ia ions o s ock
e u ns display s ylized ac ails and ola ili y clus e ing ac oss all e u n se ies. This
s ess ul pe iod inc eased in es o pessimism and ea s and gene a ed nega i e emo ions.
In e es ingly, ou indings poin o a high spillo e o shocks be ween he Ra enPack
sen imen index, he Islamic and con en ional s ock e u n indices and c yp ocu encies.
In addi ion, we ound ha he Ra enPack COVID sen imen is he main ne ansmi e o
shocks o all con en ional ma ke indices and hose mos Islamic indices and
c yp ocu encies a e ne ecei e s. Mo e in e es ingly, ou esul s e eal ha he daily
le els o posi i e and nega i e shocks in s ock ma ke indices and c yp ocu encies induced
by he COVID-19 pandemic a ec hese a iables. They also show ha ea and pessimism
sen imen induced by he news ela ed o co ona i us plays a majo ole in d i ing he alues
o c yp ocu encies mo e han o he indices. We also ound ha E he eum can se e as a
hedge agains pandemic- ela ed news. In gene al, news ela ed o he COVID-19 pandemic
encou ages people o in es in c yp ocu encies. These esul s suppo he iew o p e ious
s udies sugges ing ha in es o sen imen pe o mance is a ec ed by inancial ma ke s
du ing he bubble pe iod (e.g. Cheema e al., 2020;Sol ani and Boujelbene Abbes, 2022).
The e o e, his can help und manage s adjus hei po olio isk exposu e by including
s ocks ha signi ican ly espond o COVID-19 sen imen and hose ha do no . In ac , he
0.0
0.5
1.0
1.5
2.0
2.5
3.0
II III IV III III IV III III IV
2020 2021 2022
Saudi A abia: Sho _ e m
20
24
28
32
36
40
44
II III IV III III IV III III IV
2020 2021 2022
Saudi A abia: Long _ e m
0.0
0.4
0.8
1.2
1.6
2.0
II III IV III III IV III III IV
2020 2021 2022
Uni ed A ab Emi a es: Sho _ e m
16
20
24
28
32
36
II III IV III III IV III III IV
2020 2021 2022
Uni ed A ab Emi a es: Long _ e m
Sou ce(s): Au ho s’ elabo a ions
Figu e 6.
EJMBE
34,1
42
ola ili y mechanism and in es o sen imen can be in e es ing o in es o s as i allows hem
o conside he dynamics o each ma ke and hus op imize he asse po olio alloca ion.
No es
1. h ps://coinma ke cap.com/
2. Ra enPack (h ps://co ona i us. a enpack.com) p o ides media da a ela ed o COVID-19 issues.
Re e ences
Agos o, A. and Ca e a a, A. (2020), “Financial bubbles: a s udy o co-explosi i y in he
c yp ocu ency ma ke ”,Risks, Vol. 8 No. 2, p. 34.
Akh a uzzaman, M. and Shamsuddin, A. (2016), “In e na ional con agion h ough inancial e sus
non- inancial i ms”,Economic Modelling, Vol. 59, pp. 143-163.
Akh a uzzaman, M., Boubake , S. and Sensoy, A. (2021), “Financial con agion du ing COVID–19
c isis”,Finance Resea ch Le e s, Vol. 38, 101604.
Al-Awadhi, A.M., Alsai i, K., Al-Awadhi, A. and Alhammadi, S. (2020), “Dea h and con agious
in ec ious diseases: impac o he COVID-19 i us on s ock ma ke e u ns”,Jou nal o
Beha io al and Expe imen al Finance, Vol. 27, 100326.
Alaoui Mdagh i, A., Raghibi, A., Thanh, C.N. and Oubdi, L. (2021), “S ock ma ke liquidi y, he g ea
lockdown and he COVID-19 global pandemic nexus in MENA coun ies”,Re iew o Beha io al
Finance, Vol. 13 No. 1, pp. 51-68.
Ash a , B.N. (2021), “S ock ma ke s’ eac ion o Co id-19: mode a ing ole o na ional cul u e”,Finance
Resea ch Le e s, Vol. 41, 101857.
Aslanidis, N., Ba i ie a, A.F. and Ma
ınez-Iba~
nez, O. (2019), “An analysis o c yp ocu encies
condi ional c oss co ela ions”,Finance Resea ch Le e s, Vol. 31, pp. 130-137.
Bane jee, A.K., Akh a uzzaman, M., Dionisio, A., Almeida, D. and Sensoy, A. (2022), “Nonlinea nexus
be ween c yp ocu ency e u ns and COVID–19 COVID-19 news sen imen ”,Jou nal o
Beha io al and Expe imen al Finance, Vol. 36, 100747.
Bani-Khala , O. and Taspina , N. (2022), “Oil and gold e u n spillo e and s ock ma ke elas ici y
du ing COVID-19 pandemic: a compa a i e s udy be ween he s ock ma ke s o oil-expo ing
coun ies and oil-impo ing coun ies in he Middle Eas ”,Resou ces Policy, Vol. 79, 102935.
Ba un
ık, J. and K
ehl
ık, T. (2018), “Measu ing he equency dynamics o inancial connec edness and
sys emic isk”,Jou nal o Financial Econome ics, Vol. 16 No. 2, pp. 271-296.
Beneki, C., Koulis, A., Ky iazis, N.A. and Papadamou, S. (2019), “In es iga ing ola ili y ansmission
and hedging p ope ies be ween Bi coin and E he eum”,Resea ch in In e na ional Business and
Finance, Vol. 48, pp. 219-227.
Bianco, C. and Wildangel, R. (2020), “In ec ed: he impac o he co ona i us on he Middle Eas and
No h A ica”,Re ie ed Ma ch, Vol. 31, p. 2020.
Bou i, E., Moln
a , P., Azzi, G., Roubaud, D. and Hag o s, L.I. (2017), “On he hedge and sa e ha en
p ope ies o Bi coin: is i eally mo e han a di e si ie ?”,Finance Resea ch Le e s, Vol. 20, pp.
192-198.
Bou i, E., Shahzad, S.J.H. and Roubaud, D. (2019), “Co-explosi i y in he c yp ocu ency ma ke ”,
Finance Resea ch Le e s, Vol. 29, pp. 178-183.
Bou i, E., Cepni, O., Gabaue , D. and Gup a, R. (2021), “Re u n connec edness ac oss asse classes
a ound he COVID-19 ou b eak”,In e na ional Re iew o Financial Analysis, Vol. 73, 101646.
Bu le , K.C. and Domian, D.L. (1991), “Risk, di e si ica ion, and he in es men ho izon”,Jou nal o
Po olio Managemen , Vol. 17 No. 3, p. 41.
Di ec ional
spillo e
e ec s du ing
COVID-19
43
Cha eddine, L., Benlagha, N. and Maouchi, Y. (2020), “In es iga ing he dynamic ela ionship be ween
c yp ocu encies and con en ional asse s: implica ions o inancial in es o s”,Economic
Modelling, Vol. 85, pp. 198-217.
Cheema, M.A., Man, Y. and Szulczyk, K.R. (2020), “Does in es o sen imen p edic he nea e m
e u ns o he Chinese s ock ma ke ?”,In e na ional Re iew o Finance, Vol. 20 No. 1,
pp. 225-233.
Co be , S., Lucey, B. and Ya o aya, L. (2018), “Da es amping he Bi coin and E he eum bubbles”,
Finance Resea ch Le e s, Vol. 26, pp. 81-88.
Co be , S., La kin, C. and Lucey, B. (2020), “The con agion e ec s o he COVID-19 pandemic: e idence
om gold and c yp ocu encies”,Finance Resea ch Le e s, Vol. 35, 101554.
Dewanda u, G., Riz i, S.A.R., Masih, R., Masih, M. and Alhabshi, S.O. (2014), “S ock ma ke
co-mo emen s: islamic e sus con en ional equi y indices wi h mul i- imescales analysis”,
Economic Sys ems, Vol. 38 No. 4, pp. 553-571.
Diebold, F.X. and Yilmaz, K. (2012), “Be e o gi e han o ecei e: p edic i e di ec ional measu emen
o ola ili y spillo e s”,In e na ional Jou nal o Fo ecas ing, Vol. 28 No. 1, pp. 57-66.
Diebold, F.X. and Yılmaz, K. (2014), “On he ne wo k opology o a iance decomposi ions: measu ing
he connec edness o inancial i ms”,Jou nal o Econome ics, Vol. 182 No. 1, pp. 119-134.
Fakh ekh, M. and Je ibi, A. (2020), “Vola ili y dynamics o c yp o-cu encies’ e u ns: e idence om
asymme ic and long memo y GARCH models”,Resea ch in In e na ional Business and Finance,
Vol. 51, 101075.
Feng, W., Wang, Y. and Zhang, Z. (2018), “Can c yp ocu encies be a sa e ha en: a ail isk pe spec i e
analysis”,Applied Economics, Vol. 50 No. 44, pp. 4745-4762.
Fo bes (2020), “Dow Jones u u es d op: S&P 500 loses momen um, Co id-19 wa e c acks s ock
ma ke ally”, a ailable a : h ps://www. o bes.com/si es/naeemaslam/2020/06/25/dow-jones-
and-sp500- u u es-s ocks-c ash/#3583204450ee
Fo bes, K.J. and Rigobon, R. (2002), “No con agion, only in e dependence: measu ing s ock ma ke
como emen s”,The Jou nal o Finance, Vol. 57 No. 5, pp. 2223-2226.
Gil-Alana, L.A., Abakah, E.J.A. and Rojo, M.F.R. (2020), “C yp ocu encies and s ock ma ke indices.
A e hey ela ed?”,Resea ch in In e na ional Business and Finance, Vol. 51, 101063.
Goodell, J.W. and Gou e, S. (2021), “Co-mo emen o COVID-19 and Bi coin: e idence om wa ele
cohe ence analysis”,Finance Resea ch Le e s, Vol. 38, 101625.
Gomes, O. and Guba e a, M. (2021), “Complex sys ems in economics and whe e o ind hem”,Jou nal
o Sys ems Science and Complexi y, Vol. 34 No. 1, pp. 314-338.
G ins ed, A., Moo e, J.C. and Je eje a, S. (2004), “Applica ion o he c oss wa ele ans o m
and wa ele cohe ence o geophysical ime se ies”,Nonlinea P ocesses in Geophysics, Vol. 11
Nos 5/6, pp. 561-566.
Ka siampa, P., Co be , S. and Lucey, B. (2019), “Vola ili y spillo e e ec s in leading c yp ocu encies:
a BEKK-MGARCH analysis”,Finance Resea ch Le e s, Vol. 29, pp. 68-74.
Khaleej Times (2020), “Co id-19: GCC in es o s lose o e Dh257 billion in a day as s ock ma ke s
Plunge-1 Ma ch 2020”, a ailable a : h ps://www.khaleej imes.com/business/ma ke s/gul -
bou ses-slip
KPMG (2020), “Po en ial impac o COVID-19 on he Qa a economy”, a ailable a : h ps://asse s.
kpmg/con en /dam/kpmg/qa/pd /2020/4/po en ial_impac _o _co id-19_on_ he_qa a _
economy_all%20sec o s.pd
K is janpolle , W. and Bou i, E. (2019), “Asymme ic mul i ac al c oss-co ela ions be ween he main
wo ld cu encies and he main c yp ocu encies”,Physica A: S a is ical Mechanics and I s
Applica ions, Vol. 523, pp. 1057-1071.
Lahmi i, S. and Beki os, S. (2019), “C yp ocu ency o ecas ing wi h deep lea ning chao ic neu al
ne wo ks”,Chaos, Soli ons and F ac als, Vol. 118, pp. 35-40.
EJMBE
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44
Liu, W. (2019), “Po olio di e si ica ion ac oss c yp ocu encies
e”,Finance Resea ch Le e s, Vol. 29,
pp. 200-205.
Liu, Z., Huynh, T.L.D. and Dai, P.F. (2021), “The impac o COVID-19 on he s ock ma ke c ash isk in
China”,Resea ch in In e na ional Business and Finance, Vol. 57, 101419.
Mehdi, A., Ghe aia, Z., Abdelli, H., Sek a i, H. and Diaw, A. (2022), “COVID-19 pandemic and economic
impac s in A ab coun ies: challenges and policies”,Resea ch in Globaliza ion, 100103.
Mensi, W., Sensoy, A., Vo, X.V. and Kang, S.H. (2020), “Impac o COVID-19 ou b eak on asymme ic
mul i ac ali y o gold and oil p ices”,Resou ces Policy, Vol. 69, 101829.
Mink, M. (2015), “Measu ing s ock ma ke con agion: local o common cu ency e u ns?”,Eme ging
Ma ke s Re iew, Vol. 22, pp. 18-24.
Mni , E., Ja boui, A. and Mouakha , K. (2020), “How he c yp ocu ency ma ke has pe o med du ing
COVID 19? A mul i ac al analysis”,Finance Resea ch Le e s, Vol. 36, 101647.
Na ayan, P.K., De pu a, N. and Wang, H. (2020), “Japanese cu ency and s ock ma ke —wha
happened du ing he COVID-19 pandemic?”,Economic Analysis and Policy, Vol. 68, pp. 191-198.
Ng, A. (2020), “Th ee ways he co ona i us could ha e an impac on Middle Eas economies”,
Re ie ed Ma ch, Vol. 12, p. 2020.
Omane-Adjepong, M. and Alagidede, I.P. (2019), “Mul i esolu ion analysis and spillo e s o majo
c yp ocu ency ma ke s”,Resea ch in In e na ional Business and Finance, Vol. 49, pp. 191-206.
Ozdama , M., Sensoy, A. and Akdeniz, L. (2022), “Re ail s ins i u ional in es o a en ion in he
c yp ocu ency ma ke ”,Jou nal o In e na ional Financial Ma ke s, Ins i u ions and Money,
Vol. 81, 101674.
Pesa an, H.H. and Shin, Y. (1998), “Gene alized impulse esponse analysis in linea mul i a ia e
models”,Economics Le e s, Vol. 58 No. 1, pp. 17-29.
Rua, A. and Nunes, L.C. (2009), “In e na ional como emen o s ock ma ke e u ns: a wa ele
analysis”,Jou nal o Empi ical Finance, Vol. 16 No. 4, pp. 632-639.
Sayed, M.N. and Abbas, N.A. (2018), “Impac o c yp o-cu ency on eme ging ma ke ocus on gul
coun ies”,Li e Science Jou nal, Vol. 15 No. 1, pp. 92-97.
Sha i , A., Aloui, C. and Ya o aya, L. (2020), “COVID-19 pandemic, oil p ices, s ock ma ke ,
geopoli ical isk and policy unce ain y nexus in he US economy: esh e idence om he
wa ele -based app oach”,In e na ional Re iew o Financial Analysis, Vol. 70, 101496.
Solomon, H. (2020), “The impac o co id-19 on he Middle Eas and No h A ica”,Ins i u e o
Con empo a y A ai s, Vol. 20 No. 6.
Sol ani, H. and Boujelbene Abbes, M. (2022), “The impac o he COVID-19 pandemic on he nexus
be ween he in es o ’s sen imen and he inancial ma ke dynamics: e idence om he Chinese
ma ke ”,Asia-Paci ic Jou nal o Business Adminis a ion, Vol. ahead-o -p in No. ahead-o -p in ,
doi: 10.1108/APJBA-07-2021-0326.
The Wo ld Bank Upda e (2020), “Oman’s economic upda e –Ap il 2020”, a ailable a : h ps://www.
wo ldbank.o g/en/coun y/gcc/publica ion/oman-economic-upda e-ap il-2020
Tiwa i, A.K., Raheem, I.D. and Kang, S.H. (2019), “Time- a ying dynamic condi ional co ela ion
be ween s ock and c yp ocu ency ma ke s using he copula-ADCC-EGARCH model”,Physica
A: S a is ical Mechanics and I s Applica ions, Vol. 535, 122295.
Yang, L., Cai, X.J., Zhang, H. and Hamo i, S. (2016), “In e dependence o o eign exchange ma ke s:
a wa ele cohe ence analysis”,Economic Modelling, Vol. 55, pp. 6-14.
Yi, S., Xu, Z. and Wang, G.J. (2018), “Vola ili y connec edness in he c yp ocu ency ma ke : is Bi coin
a dominan c yp ocu ency?”,In e na ional Re iew o Financial Analysis, Vol. 60, pp. 98-114.
Zhang, D., Hu, M. and Ji, Q. (2020), “Financial ma ke s unde he global pandemic o COVID-19”,
Finance Resea ch Le e s, Vol. 36, 101528.
Di ec ional
spillo e
e ec s du ing
COVID-19
45
Fu he eading
B€
ohme, R., Eckey, L., Moo e, T., Na ula, N., Ru ing, T. and Zoha , A. (2020), “Responsible
ulne abili y disclosu e in c yp ocu encies”,Communica ions o he ACM, Vol. 63 No. 10,
pp. 62-71.
Q&A, F. A. O. (2020), COVID-19 Pandemic-Impac on Food and Ag icul u e Q1: Will Co id-19 Ha e
Nega i e Impac s on Global Food Secu i y, FAO, Rome.
Co esponding au ho
Haye Sol ani can be con ac ed a : [email p o ec ed]
Fo ins uc ions on how o o de ep in s o his a icle, please isi ou websi e:
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O con ac us o u he de ails: [email p o ec ed]
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