Loading…

TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS

THIS PAPER AIMED TO INVESTIGATE COINTEGRATION AND CAUSALITY EFFECT WITH BASE TO RUSSIAN FINANCIAL MARKET OVER UKRAINE, HUNGARY AND ROMANIA, (2) WHETHER IS THERE ANY OPPORTUNITY FOR HEDGE THE INVESTMENT IN ONE MARKET BY INVESTING IN ANOTHER MARKET. FOR THIS PURPOSE WE EMPLOY VECTOR ERROR CORRELATION...

Full description

Saved in:
Bibliographic Details
Published in:Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale 2022-04 (2), p.33-46
Main Authors: Spulbăr, Cristi, Trivedi, Jatin, Birau, Ramona, Siddula, Narsimhulu, Iacob (Troto), Anca Ioana
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 46
container_issue 2
container_start_page 33
container_title Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale
container_volume
creator Spulbăr, Cristi
Trivedi, Jatin
Birau, Ramona
Siddula, Narsimhulu
Iacob (Troto), Anca Ioana
description THIS PAPER AIMED TO INVESTIGATE COINTEGRATION AND CAUSALITY EFFECT WITH BASE TO RUSSIAN FINANCIAL MARKET OVER UKRAINE, HUNGARY AND ROMANIA, (2) WHETHER IS THERE ANY OPPORTUNITY FOR HEDGE THE INVESTMENT IN ONE MARKET BY INVESTING IN ANOTHER MARKET. FOR THIS PURPOSE WE EMPLOY VECTOR ERROR CORRELATION MODEL (VECM) AND CCC GARCH ON THE SAMPLE DATA FROM JANUARY 2013 TO AUGUST 2022 COLLECTED FROM BLOOMBERG. AIC CRITERIA HAS BEEN USED TO DETERMINE THE IDEAL LAG DURATION, WHICH IS DETERMINED TO BE 8 DAYS FOR PFTS - UKRAINE AND MOEX - RUSSIA, 9 DAYS FOR BET - ROMANIA AND MOEX - RUSSIA, AND 8 DAYS FOR BUX - HUNGARY AND MOEX - RUSSIA. THIS IS BECAUSE COINTEGRATION RESULTS ARE SENSITIVE TO LAG LENGTH. CAUSALITY MUST EXIST IF TWO PARAMETERS (EXTRINSIC AND INTRINSIC) COINTEGRATE IN AT LEAST ONE DIRECTION (GRANGER, 1986). ADDITIONALLY, IT WAS ASSERTED BY GHOSH (1993), LIEN AND LUO (1994), AND LIEN (1996) THAT IF THE TWO PRICE SERIES ARE DISCOVERED TO BE COINTEGRATED, THEN THERE ARE VIABLE ERROR CORRECTION REPRESENTATIONS OF THE PRICE SERIES THAT CONTAIN BOTH SHORT-TERM DYNAMICS AND LONG-TERM INFORMATION. THE STUDY USES THE VECTOR ERROR CORRECTION MODEL (VECM) BECAUSE SPOT AND FUTURES PRICES ARE COINTEGRATED IN ORDER TO EXAMINE THE LEAD-LAG RELATIONSHIP, THE LONG- AND SHORT-RUN SPEED ALTERATION TOWARDS EQUILIBRIUM, OR THE LONG-RUN STEADY STATE (CAUSALITY), BETWEEN PFTS INDEX (UKRAINE) AND MOEX INDEX – (RUSSIA) STOCK MARKET PRICES OF SAMPLE VARIABLES.
format article
fullrecord <record><control><sourceid>ceeol_proqu</sourceid><recordid>TN_cdi_ceeol_journals_1108211</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ceeol_id>1108211</ceeol_id><sourcerecordid>1108211</sourcerecordid><originalsourceid>FETCH-LOGICAL-c507-78822b633382cd317f541a761a79359867b9a635b6c692958c5e2124f710f44e3</originalsourceid><addsrcrecordid>eNpFkNtKw0AQhhdRsNQ-gjDgbQPZQ3Y33i3bbbqYg2STQq9KExNQitXG3vcRBN_QJ3FrBS-GGfg_vh_mAo0IZSygXIhLNMLS3zyM8DWaDMNzEzImSMwIHaHPymYGlqpc2TwBXdi8MkmpKlvkoPIZaFU7ldpqdQ_Kx9mjOoVL4wNnwFX1bAXzooSyds6qKdQPpbK5mcKizhNv_ZWURaZyq6B2p5Kl0dnZrTV8H78g86BeQFbMTOpu0FW_2Q7d5G-PUTU3lV4EaZFYrdKgjUIRCCkJaTilVJL2iWLRRwxvBPcT0yiWXDTxhtOo4S2PSRzJNuoIJqwXOOwZ6-gY3Z21b_vd-6EbPtYvu8P-1TeuSUz9a8IQC0_dnqm263bbfwTjUBKM6Q9XnF4-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2934230017</pqid></control><display><type>article</type><title>TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Social Science Premium Collection</source><creator>Spulbăr, Cristi ; Trivedi, Jatin ; Birau, Ramona ; Siddula, Narsimhulu ; Iacob (Troto), Anca Ioana</creator><creatorcontrib>Spulbăr, Cristi ; Trivedi, Jatin ; Birau, Ramona ; Siddula, Narsimhulu ; Iacob (Troto), Anca Ioana</creatorcontrib><description>THIS PAPER AIMED TO INVESTIGATE COINTEGRATION AND CAUSALITY EFFECT WITH BASE TO RUSSIAN FINANCIAL MARKET OVER UKRAINE, HUNGARY AND ROMANIA, (2) WHETHER IS THERE ANY OPPORTUNITY FOR HEDGE THE INVESTMENT IN ONE MARKET BY INVESTING IN ANOTHER MARKET. FOR THIS PURPOSE WE EMPLOY VECTOR ERROR CORRELATION MODEL (VECM) AND CCC GARCH ON THE SAMPLE DATA FROM JANUARY 2013 TO AUGUST 2022 COLLECTED FROM BLOOMBERG. AIC CRITERIA HAS BEEN USED TO DETERMINE THE IDEAL LAG DURATION, WHICH IS DETERMINED TO BE 8 DAYS FOR PFTS - UKRAINE AND MOEX - RUSSIA, 9 DAYS FOR BET - ROMANIA AND MOEX - RUSSIA, AND 8 DAYS FOR BUX - HUNGARY AND MOEX - RUSSIA. THIS IS BECAUSE COINTEGRATION RESULTS ARE SENSITIVE TO LAG LENGTH. CAUSALITY MUST EXIST IF TWO PARAMETERS (EXTRINSIC AND INTRINSIC) COINTEGRATE IN AT LEAST ONE DIRECTION (GRANGER, 1986). ADDITIONALLY, IT WAS ASSERTED BY GHOSH (1993), LIEN AND LUO (1994), AND LIEN (1996) THAT IF THE TWO PRICE SERIES ARE DISCOVERED TO BE COINTEGRATED, THEN THERE ARE VIABLE ERROR CORRECTION REPRESENTATIONS OF THE PRICE SERIES THAT CONTAIN BOTH SHORT-TERM DYNAMICS AND LONG-TERM INFORMATION. THE STUDY USES THE VECTOR ERROR CORRECTION MODEL (VECM) BECAUSE SPOT AND FUTURES PRICES ARE COINTEGRATED IN ORDER TO EXAMINE THE LEAD-LAG RELATIONSHIP, THE LONG- AND SHORT-RUN SPEED ALTERATION TOWARDS EQUILIBRIUM, OR THE LONG-RUN STEADY STATE (CAUSALITY), BETWEEN PFTS INDEX (UKRAINE) AND MOEX INDEX – (RUSSIA) STOCK MARKET PRICES OF SAMPLE VARIABLES.</description><identifier>ISSN: 1844-6051</identifier><identifier>EISSN: 2344-3677</identifier><language>eng</language><publisher>Targu Jiu: Academica Brancusi Publishing house</publisher><subject>Causality ; Comparative analysis ; COVID-19 ; Financial market ; Financial Markets ; Health and medicine and law ; Investment ; Pandemics ; Peace and Conflict Studies ; Prices ; Russian Aggression against Ukraine ; Securities markets ; Stock prices</subject><ispartof>Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale, 2022-04 (2), p.33-46</ispartof><rights>Copyright University Constantin Brancusi of Târgu-Jiu 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.ceeol.com//api/image/getissuecoverimage?id=picture_2022_72594.JPG</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2934230017/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2934230017?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,12847,21394,33223,33611,43733,74221</link.rule.ids></links><search><creatorcontrib>Spulbăr, Cristi</creatorcontrib><creatorcontrib>Trivedi, Jatin</creatorcontrib><creatorcontrib>Birau, Ramona</creatorcontrib><creatorcontrib>Siddula, Narsimhulu</creatorcontrib><creatorcontrib>Iacob (Troto), Anca Ioana</creatorcontrib><title>TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS</title><title>Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale</title><addtitle>Annals of the “Constantin Brancusi” University of Targu Jiu Letters and Social Sciences Series</addtitle><description>THIS PAPER AIMED TO INVESTIGATE COINTEGRATION AND CAUSALITY EFFECT WITH BASE TO RUSSIAN FINANCIAL MARKET OVER UKRAINE, HUNGARY AND ROMANIA, (2) WHETHER IS THERE ANY OPPORTUNITY FOR HEDGE THE INVESTMENT IN ONE MARKET BY INVESTING IN ANOTHER MARKET. FOR THIS PURPOSE WE EMPLOY VECTOR ERROR CORRELATION MODEL (VECM) AND CCC GARCH ON THE SAMPLE DATA FROM JANUARY 2013 TO AUGUST 2022 COLLECTED FROM BLOOMBERG. AIC CRITERIA HAS BEEN USED TO DETERMINE THE IDEAL LAG DURATION, WHICH IS DETERMINED TO BE 8 DAYS FOR PFTS - UKRAINE AND MOEX - RUSSIA, 9 DAYS FOR BET - ROMANIA AND MOEX - RUSSIA, AND 8 DAYS FOR BUX - HUNGARY AND MOEX - RUSSIA. THIS IS BECAUSE COINTEGRATION RESULTS ARE SENSITIVE TO LAG LENGTH. CAUSALITY MUST EXIST IF TWO PARAMETERS (EXTRINSIC AND INTRINSIC) COINTEGRATE IN AT LEAST ONE DIRECTION (GRANGER, 1986). ADDITIONALLY, IT WAS ASSERTED BY GHOSH (1993), LIEN AND LUO (1994), AND LIEN (1996) THAT IF THE TWO PRICE SERIES ARE DISCOVERED TO BE COINTEGRATED, THEN THERE ARE VIABLE ERROR CORRECTION REPRESENTATIONS OF THE PRICE SERIES THAT CONTAIN BOTH SHORT-TERM DYNAMICS AND LONG-TERM INFORMATION. THE STUDY USES THE VECTOR ERROR CORRECTION MODEL (VECM) BECAUSE SPOT AND FUTURES PRICES ARE COINTEGRATED IN ORDER TO EXAMINE THE LEAD-LAG RELATIONSHIP, THE LONG- AND SHORT-RUN SPEED ALTERATION TOWARDS EQUILIBRIUM, OR THE LONG-RUN STEADY STATE (CAUSALITY), BETWEEN PFTS INDEX (UKRAINE) AND MOEX INDEX – (RUSSIA) STOCK MARKET PRICES OF SAMPLE VARIABLES.</description><subject>Causality</subject><subject>Comparative analysis</subject><subject>COVID-19</subject><subject>Financial market</subject><subject>Financial Markets</subject><subject>Health and medicine and law</subject><subject>Investment</subject><subject>Pandemics</subject><subject>Peace and Conflict Studies</subject><subject>Prices</subject><subject>Russian Aggression against Ukraine</subject><subject>Securities markets</subject><subject>Stock prices</subject><issn>1844-6051</issn><issn>2344-3677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>M2R</sourceid><recordid>eNpFkNtKw0AQhhdRsNQ-gjDgbQPZQ3Y33i3bbbqYg2STQq9KExNQitXG3vcRBN_QJ3FrBS-GGfg_vh_mAo0IZSygXIhLNMLS3zyM8DWaDMNzEzImSMwIHaHPymYGlqpc2TwBXdi8MkmpKlvkoPIZaFU7ldpqdQ_Kx9mjOoVL4wNnwFX1bAXzooSyds6qKdQPpbK5mcKizhNv_ZWURaZyq6B2p5Kl0dnZrTV8H78g86BeQFbMTOpu0FW_2Q7d5G-PUTU3lV4EaZFYrdKgjUIRCCkJaTilVJL2iWLRRwxvBPcT0yiWXDTxhtOo4S2PSRzJNuoIJqwXOOwZ6-gY3Z21b_vd-6EbPtYvu8P-1TeuSUz9a8IQC0_dnqm263bbfwTjUBKM6Q9XnF4-</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Spulbăr, Cristi</creator><creator>Trivedi, Jatin</creator><creator>Birau, Ramona</creator><creator>Siddula, Narsimhulu</creator><creator>Iacob (Troto), Anca Ioana</creator><general>Academica Brancusi Publishing house</general><general>Editura Academica Brancusi</general><general>University Constantin Brancusi of Târgu-Jiu</general><scope>AE2</scope><scope>BIXPP</scope><scope>REL</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88J</scope><scope>8BJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>GNUQQ</scope><scope>JBE</scope><scope>M2R</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20220401</creationdate><title>TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS</title><author>Spulbăr, Cristi ; Trivedi, Jatin ; Birau, Ramona ; Siddula, Narsimhulu ; Iacob (Troto), Anca Ioana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507-78822b633382cd317f541a761a79359867b9a635b6c692958c5e2124f710f44e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Causality</topic><topic>Comparative analysis</topic><topic>COVID-19</topic><topic>Financial market</topic><topic>Financial Markets</topic><topic>Health and medicine and law</topic><topic>Investment</topic><topic>Pandemics</topic><topic>Peace and Conflict Studies</topic><topic>Prices</topic><topic>Russian Aggression against Ukraine</topic><topic>Securities markets</topic><topic>Stock prices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Spulbăr, Cristi</creatorcontrib><creatorcontrib>Trivedi, Jatin</creatorcontrib><creatorcontrib>Birau, Ramona</creatorcontrib><creatorcontrib>Siddula, Narsimhulu</creatorcontrib><creatorcontrib>Iacob (Troto), Anca Ioana</creatorcontrib><collection>Central and Eastern European Online Library (C.E.E.O.L.) (DFG Nationallizenzen)</collection><collection>CEEOL: Open Access</collection><collection>CEEOL</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Central Student</collection><collection>International Bibliography of the Social Sciences</collection><collection>Social Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spulbăr, Cristi</au><au>Trivedi, Jatin</au><au>Birau, Ramona</au><au>Siddula, Narsimhulu</au><au>Iacob (Troto), Anca Ioana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS</atitle><jtitle>Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale</jtitle><addtitle>Annals of the “Constantin Brancusi” University of Targu Jiu Letters and Social Sciences Series</addtitle><date>2022-04-01</date><risdate>2022</risdate><issue>2</issue><spage>33</spage><epage>46</epage><pages>33-46</pages><issn>1844-6051</issn><eissn>2344-3677</eissn><abstract>THIS PAPER AIMED TO INVESTIGATE COINTEGRATION AND CAUSALITY EFFECT WITH BASE TO RUSSIAN FINANCIAL MARKET OVER UKRAINE, HUNGARY AND ROMANIA, (2) WHETHER IS THERE ANY OPPORTUNITY FOR HEDGE THE INVESTMENT IN ONE MARKET BY INVESTING IN ANOTHER MARKET. FOR THIS PURPOSE WE EMPLOY VECTOR ERROR CORRELATION MODEL (VECM) AND CCC GARCH ON THE SAMPLE DATA FROM JANUARY 2013 TO AUGUST 2022 COLLECTED FROM BLOOMBERG. AIC CRITERIA HAS BEEN USED TO DETERMINE THE IDEAL LAG DURATION, WHICH IS DETERMINED TO BE 8 DAYS FOR PFTS - UKRAINE AND MOEX - RUSSIA, 9 DAYS FOR BET - ROMANIA AND MOEX - RUSSIA, AND 8 DAYS FOR BUX - HUNGARY AND MOEX - RUSSIA. THIS IS BECAUSE COINTEGRATION RESULTS ARE SENSITIVE TO LAG LENGTH. CAUSALITY MUST EXIST IF TWO PARAMETERS (EXTRINSIC AND INTRINSIC) COINTEGRATE IN AT LEAST ONE DIRECTION (GRANGER, 1986). ADDITIONALLY, IT WAS ASSERTED BY GHOSH (1993), LIEN AND LUO (1994), AND LIEN (1996) THAT IF THE TWO PRICE SERIES ARE DISCOVERED TO BE COINTEGRATED, THEN THERE ARE VIABLE ERROR CORRECTION REPRESENTATIONS OF THE PRICE SERIES THAT CONTAIN BOTH SHORT-TERM DYNAMICS AND LONG-TERM INFORMATION. THE STUDY USES THE VECTOR ERROR CORRECTION MODEL (VECM) BECAUSE SPOT AND FUTURES PRICES ARE COINTEGRATED IN ORDER TO EXAMINE THE LEAD-LAG RELATIONSHIP, THE LONG- AND SHORT-RUN SPEED ALTERATION TOWARDS EQUILIBRIUM, OR THE LONG-RUN STEADY STATE (CAUSALITY), BETWEEN PFTS INDEX (UKRAINE) AND MOEX INDEX – (RUSSIA) STOCK MARKET PRICES OF SAMPLE VARIABLES.</abstract><cop>Targu Jiu</cop><pub>Academica Brancusi Publishing house</pub><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1844-6051
ispartof Analele Universitǎti̧i "Constantin Brâncuşi" din Târgu Jiu. Serie Litere și Ştiinţe Sociale, 2022-04 (2), p.33-46
issn 1844-6051
2344-3677
language eng
recordid cdi_ceeol_journals_1108211
source International Bibliography of the Social Sciences (IBSS); Social Science Premium Collection
subjects Causality
Comparative analysis
COVID-19
Financial market
Financial Markets
Health and medicine and law
Investment
Pandemics
Peace and Conflict Studies
Prices
Russian Aggression against Ukraine
Securities markets
Stock prices
title TIME VARYING COINTEGRATION AND CAUSALITY: A COMPARATIVE CASE STUDY FOR RUSSIA, UKRAINE, HUNGARY AND ROMANIA USING VECM AND CCC – MGARCH MODELS
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T22%3A03%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ceeol_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=TIME%20VARYING%20COINTEGRATION%20AND%20CAUSALITY:%20A%20COMPARATIVE%20CASE%20STUDY%20FOR%20RUSSIA,%20UKRAINE,%20HUNGARY%20AND%20ROMANIA%20USING%20VECM%20AND%20CCC%20%E2%80%93%20MGARCH%20MODELS&rft.jtitle=Analele%20Universit%C7%8Eti%CC%A7i%20%22Constantin%20Br%C3%A2ncu%C5%9Fi%22%20din%20T%C3%A2rgu%20Jiu.%20Serie%20Litere%20%C8%99i%20%C5%9Etiin%C5%A3e%20Sociale&rft.au=Spulb%C4%83r,%20Cristi&rft.date=2022-04-01&rft.issue=2&rft.spage=33&rft.epage=46&rft.pages=33-46&rft.issn=1844-6051&rft.eissn=2344-3677&rft_id=info:doi/&rft_dat=%3Cceeol_proqu%3E1108211%3C/ceeol_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c507-78822b633382cd317f541a761a79359867b9a635b6c692958c5e2124f710f44e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2934230017&rft_id=info:pmid/&rft_ceeol_id=1108211&rfr_iscdi=true