Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study

This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Phil...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sugeng Wahyudi [verfasserIn] H. Hersugondo [verfasserIn] Rio Dhani Laksana [verfasserIn] R. Rudy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries

Übergeordnetes Werk:	In: International Journal of Economics and Financial Issues - EconJournals, 2011, 7(2017), 2, Seite 182-187
Übergeordnetes Werk:	volume:7 ; year:2017 ; number:2 ; pages:182-187

Links:	Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ00395322X

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ00395322X
003	DE-627
005	20230502073703.0
007	cr uuu---uuuuu
008	230225s2017 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)DOAJ00395322X
035			\|a (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a HF5001-6182
050		0	\|a HB71-74
100	0		\|a Sugeng Wahyudi \|e verfasserin \|4 aut
245	1	0	\|a Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
264		1	\|c 2017
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.
650		4	\|a macroeconomic
650		4	\|a threshold autoregressive conditional heteroscedasticity
650		4	\|a southeast asian countries
653		0	\|a Business
653		0	\|a Economics as a science
700	0		\|a H. Hersugondo \|e verfasserin \|4 aut
700	0		\|a Rio Dhani Laksana \|e verfasserin \|4 aut
700	0		\|a R. Rudy \|e verfasserin \|4 aut
773	0	8	\|i In \|t International Journal of Economics and Financial Issues \|d EconJournals, 2011 \|g 7(2017), 2, Seite 182-187 \|w (DE-627)670216879 \|w (DE-600)2632572-X \|x 21464138 \|7 nnns
773	1	8	\|g volume:7 \|g year:2017 \|g number:2 \|g pages:182-187
856	4	0	\|u https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 \|z kostenfrei
856	4	0	\|u https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2146-4138 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 7 \|j 2017 \|e 2 \|h 182-187

Indexfelder

author_variant	s w sw h h hh r d l rdl r r rr
matchkey_str	article:21464138:2017----::areooifnaetlnsokrcidxnotesaicu
hierarchy_sort_str	2017
callnumber-subject-code	HF
publishDate	2017
allfields	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409 DE-627 ger DE-627 rakwb eng HF5001-6182 HB71-74 Sugeng Wahyudi verfasserin aut Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries. macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science H. Hersugondo verfasserin aut Rio Dhani Laksana verfasserin aut R. Rudy verfasserin aut In International Journal of Economics and Financial Issues EconJournals, 2011 7(2017), 2, Seite 182-187 (DE-627)670216879 (DE-600)2632572-X 21464138 nnns volume:7 year:2017 number:2 pages:182-187 https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 kostenfrei https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk kostenfrei https://doaj.org/toc/2146-4138 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 182-187
spelling	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409 DE-627 ger DE-627 rakwb eng HF5001-6182 HB71-74 Sugeng Wahyudi verfasserin aut Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries. macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science H. Hersugondo verfasserin aut Rio Dhani Laksana verfasserin aut R. Rudy verfasserin aut In International Journal of Economics and Financial Issues EconJournals, 2011 7(2017), 2, Seite 182-187 (DE-627)670216879 (DE-600)2632572-X 21464138 nnns volume:7 year:2017 number:2 pages:182-187 https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 kostenfrei https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk kostenfrei https://doaj.org/toc/2146-4138 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 182-187
allfields_unstemmed	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409 DE-627 ger DE-627 rakwb eng HF5001-6182 HB71-74 Sugeng Wahyudi verfasserin aut Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries. macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science H. Hersugondo verfasserin aut Rio Dhani Laksana verfasserin aut R. Rudy verfasserin aut In International Journal of Economics and Financial Issues EconJournals, 2011 7(2017), 2, Seite 182-187 (DE-627)670216879 (DE-600)2632572-X 21464138 nnns volume:7 year:2017 number:2 pages:182-187 https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 kostenfrei https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk kostenfrei https://doaj.org/toc/2146-4138 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 182-187
allfieldsGer	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409 DE-627 ger DE-627 rakwb eng HF5001-6182 HB71-74 Sugeng Wahyudi verfasserin aut Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries. macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science H. Hersugondo verfasserin aut Rio Dhani Laksana verfasserin aut R. Rudy verfasserin aut In International Journal of Economics and Financial Issues EconJournals, 2011 7(2017), 2, Seite 182-187 (DE-627)670216879 (DE-600)2632572-X 21464138 nnns volume:7 year:2017 number:2 pages:182-187 https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 kostenfrei https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk kostenfrei https://doaj.org/toc/2146-4138 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 182-187
allfieldsSound	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409 DE-627 ger DE-627 rakwb eng HF5001-6182 HB71-74 Sugeng Wahyudi verfasserin aut Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries. macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science H. Hersugondo verfasserin aut Rio Dhani Laksana verfasserin aut R. Rudy verfasserin aut In International Journal of Economics and Financial Issues EconJournals, 2011 7(2017), 2, Seite 182-187 (DE-627)670216879 (DE-600)2632572-X 21464138 nnns volume:7 year:2017 number:2 pages:182-187 https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 kostenfrei https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk kostenfrei https://doaj.org/toc/2146-4138 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 182-187
language	English
source	In International Journal of Economics and Financial Issues 7(2017), 2, Seite 182-187 volume:7 year:2017 number:2 pages:182-187
sourceStr	In International Journal of Economics and Financial Issues 7(2017), 2, Seite 182-187 volume:7 year:2017 number:2 pages:182-187
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries Business Economics as a science
isfreeaccess_bool	true
container_title	International Journal of Economics and Financial Issues
authorswithroles_txt_mv	Sugeng Wahyudi @@aut@@ H. Hersugondo @@aut@@ Rio Dhani Laksana @@aut@@ R. Rudy @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	670216879
id	DOAJ00395322X
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ00395322X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502073703.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2017 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ00395322X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HF5001-6182</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HB71-74</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Sugeng Wahyudi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">macroeconomic</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">threshold autoregressive conditional heteroscedasticity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">southeast asian countries</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Business</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Economics as a science</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">H. Hersugondo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rio Dhani Laksana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">R. Rudy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International Journal of Economics and Financial Issues</subfield><subfield code="d">EconJournals, 2011</subfield><subfield code="g">7(2017), 2, Seite 182-187</subfield><subfield code="w">(DE-627)670216879</subfield><subfield code="w">(DE-600)2632572-X</subfield><subfield code="x">21464138</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:182-187</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2146-4138</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="h">182-187</subfield></datafield></record></collection>
callnumber-first	H - Social Science
author	Sugeng Wahyudi
spellingShingle	Sugeng Wahyudi misc HF5001-6182 misc HB71-74 misc macroeconomic misc threshold autoregressive conditional heteroscedasticity misc southeast asian countries misc Business misc Economics as a science Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
authorStr	Sugeng Wahyudi
ppnlink_with_tag_str_mv	@@773@@(DE-627)670216879
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	HF5001-6182
illustrated	Not Illustrated
issn	21464138
topic_title	HF5001-6182 HB71-74 Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study macroeconomic threshold autoregressive conditional heteroscedasticity southeast asian countries
topic	misc HF5001-6182 misc HB71-74 misc macroeconomic misc threshold autoregressive conditional heteroscedasticity misc southeast asian countries misc Business misc Economics as a science
topic_unstemmed	misc HF5001-6182 misc HB71-74 misc macroeconomic misc threshold autoregressive conditional heteroscedasticity misc southeast asian countries misc Business misc Economics as a science
topic_browse	misc HF5001-6182 misc HB71-74 misc macroeconomic misc threshold autoregressive conditional heteroscedasticity misc southeast asian countries misc Business misc Economics as a science
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	International Journal of Economics and Financial Issues
hierarchy_parent_id	670216879
hierarchy_top_title	International Journal of Economics and Financial Issues
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)670216879 (DE-600)2632572-X
title	Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
ctrlnum	(DE-627)DOAJ00395322X (DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409
title_full	Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
author_sort	Sugeng Wahyudi
journal	International Journal of Economics and Financial Issues
journalStr	International Journal of Economics and Financial Issues
callnumber-first-code	H
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2017
contenttype_str_mv	txt
container_start_page	182
author_browse	Sugeng Wahyudi H. Hersugondo Rio Dhani Laksana R. Rudy
container_volume	7
class	HF5001-6182 HB71-74
format_se	Elektronische Aufsätze
author-letter	Sugeng Wahyudi
author2-role	verfasserin
title_sort	macroeconomic fundamental and stock price index in southeast asia countries a comparative study
callnumber	HF5001-6182
title_auth	Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
abstract	This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.
abstractGer	This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.
abstract_unstemmed	This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	2
title_short	Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study
url	https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409 https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk https://doaj.org/toc/2146-4138
remote_bool	true
author2	H. Hersugondo Rio Dhani Laksana R. Rudy
author2Str	H. Hersugondo Rio Dhani Laksana R. Rudy
ppnlink	670216879
callnumber-subject	HF - Commerce
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
callnumber-a	HF5001-6182
up_date	2024-07-03T21:05:59.985Z
_version_	1803593459944128512
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ00395322X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502073703.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2017 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ00395322X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJa8af6f5da92b430fa5be20cb0d02e409</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HF5001-6182</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HB71-74</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Sugeng Wahyudi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study analyzed the effect of macroeconomic variables on the composite index in the Southeast Asia Countries. The variable in this study is Inflation, Interest Rate, Exchange Rate, Gross Domestic Products, Crude Oil Price, Primary Commodity Price and Wages in Indonesia, Malaysia, Singapore, Philippine, and Thailand. The study used time series data from the 2001-2015 at each country. By using an analysis technique Threshold Autoregressive Conditional Heteroscedasticity (TARCH), the results from showed that the Inflation Interest Rate, GDP have a negative effect on the composite index in all countries except Thailand; COP has the positive effect in Indonesia, Malaysia, and Singapore, while in the Philippine and Thailand has a positive effect. PCP has a positive effect on the composite index only in Singapore, meanwhile in the Philippine and Thailand has a negative effect on the composite index.Wages have a positive and significant effect on the composite index in all countries.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">macroeconomic</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">threshold autoregressive conditional heteroscedasticity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">southeast asian countries</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Business</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Economics as a science</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">H. Hersugondo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Rio Dhani Laksana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">R. Rudy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International Journal of Economics and Financial Issues</subfield><subfield code="d">EconJournals, 2011</subfield><subfield code="g">7(2017), 2, Seite 182-187</subfield><subfield code="w">(DE-627)670216879</subfield><subfield code="w">(DE-600)2632572-X</subfield><subfield code="x">21464138</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:182-187</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/a8af6f5da92b430fa5be20cb0d02e409</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354462?publisher=http-www-cag-edu-tr-ilhan-ozturk</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2146-4138</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="h">182-187</subfield></datafield></record></collection>
score	7.4027634

Nicht das Richtige dabei?

Schreiben Sie uns!

Macroeconomic Fundamental and Stock Price Index in Southeast Asia Countries A Comparative Study

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?