Inhaltsangabe
In recent years, stock markets have become an important part of many countries' economies. This increasing importance of stock markets has motivated me. Economists to predict stock prices and financial returns. In addition, estimating stock market fluctuations is an important practice among investors and policymakers. Suitable statistical tools are very important to study the intercaches exits in the stock prices time series data. Accordingly, various econometric models have been employed in this investigation to study the different stock market behaviors and the dynamic relationship in the data sets.
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Rajarathinam Arunachalam is a Chairperson School of Mathematical Sciences, Professor and Head Department of Statistics at Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu state, India. He received his PhD degree in Agricultural Statistics from Gujarat Agricultural University, Anand, Gujarat State, INDIA.
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Modeling Financial Time Series Data
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, stock markets have become an important part of many countries' economies. This increasing importance of stock markets has motivated me. Economists to predict stock prices and financial returns. In addition, estimating stock market fluctuations is an important practice among investors and policymakers. Suitable statistical tools are very important to study the intercaches exits in the stock prices time series data. Accordingly, various econometric models have been employed in this investigation to study the different stock market behaviors and the dynamic relationship in the data sets. 148 pp. Englisch. Bestandsnummer des Verkäufers 9786206784081
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In recent years, stock markets have become an important part of many countries economies. This increasing importance of stock markets has motivated me. Economists to predict stock prices and financial returns. In addition, estimating stock market fluctuati. Bestandsnummer des Verkäufers 1399381920
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Taschenbuch. Zustand: Neu. Modeling Financial Time Series Data | Rajarathinam Arunachalam (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786206784081 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 128566800
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, stock markets have become an important part of many countries' economies. This increasing importance of stock markets has motivated me. Economists to predict stock prices and financial returns. In addition, estimating stock market fluctuations is an important practice among investors and policymakers. Suitable statistical tools are very important to study the intercaches exits in the stock prices time series data. Accordingly, various econometric models have been employed in this investigation to study the different stock market behaviors and the dynamic relationship in the data sets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Bestandsnummer des Verkäufers 9786206784081
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, stock markets have become an important part of many countries' economies. This increasing importance of stock markets has motivated me. Economists to predict stock prices and financial returns. In addition, estimating stock market fluctuations is an important practice among investors and policymakers. Suitable statistical tools are very important to study the intercaches exits in the stock prices time series data. Accordingly, various econometric models have been employed in this investigation to study the different stock market behaviors and the dynamic relationship in the data sets. Bestandsnummer des Verkäufers 9786206784081
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