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  • Search: subject:"NARDL model with dynamic multipliers"
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Year of publication
Subject
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Bombay stock exchange 2 NARDL model with dynamic multipliers 2 exchange rate fluctuations 2 gold prices 2 macroeconomic volatility 2 oil prices 2 unit root test with structural breaks 2 Börsenhandel 1 Einheitswurzeltest 1 Exchange rate 1 India 1 Indien 1 Multiplier 1 Multiplikator 1 Oil price 1 Stock exchange trading 1 Structural break 1 Strukturbruch 1 Theorie 1 Theory 1 Unit root test 1 Volatility 1 Volatilität 1 Wechselkurs 1 Ölpreis 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Ahmad, Zahid 2 Al-Muhanadi, Mesfer Mubarak 2 Asad, Muzaffar 2 Sheikh, Umaid A. 2 Tabash, Mosab I. 2
Published in...
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Cogent Business & Management 1 Cogent business & management 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Gold-oil-exchange rate volatility, Bombay stock exchange and global financial contagion 2008: Application of NARDL model with dynamic multipliers for evidences beyond symmetry
Asad, Muzaffar; Tabash, Mosab I.; Sheikh, Umaid A.; … - In: Cogent Business & Management 7 (2020) 1, pp. 1-30
The primary objective of this research article is to investigate the asymmetrical linkages between gold-oil-exchange rates and Bombay stock indexes by utilizing a nonlinear ARDL approach covering the period from April 2003 to May 2020. Time-series data is divided into three different types of...
Persistent link: https://www.econbiz.de/10012657302
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Cover Image
Gold-oil-exchange rate volatility, Bombay stock exchange and global financial contagion 2008 : application of NARDL model with dynamic multipliers for evidences beyond symmetry
Asad, Muzaffar; Tabash, Mosab I.; Sheikh, Umaid A.; … - In: Cogent business & management 7 (2020) 1, pp. 1-30
The primary objective of this research article is to investigate the asymmetrical linkages between gold-oil-exchange rates and Bombay stock indexes by utilizing a nonlinear ARDL approach covering the period from April 2003 to May 2020. Time-series data is divided into three different types of...
Persistent link: https://www.econbiz.de/10012654807
Saved in:
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