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Econometric Study of Forecasting Oil Stock Prices - Application of Multiple Linear Regression (MLR) to Forecast Oil Stock Prices

von Inumula, Krishna Murthy
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CHF 50.25
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Inumula, Krishna Murthy Econometric Study of Forecasting Oil Stock Prices - Application of Multiple Linear Regression (MLR) to Forecast Oil Stock Prices
Inumula, Krishna Murthy - Econometric Study of Forecasting Oil Stock Prices - Application of Multiple Linear Regression (MLR) to Forecast Oil Stock Prices

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Lieferung: zwischen 2021-05-18 und 2021-05-20
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Beschreibung

This research study is aimed at providing some answers relating to stock market investment for the investors and educators in understanding the dynamics of share prices at firm level specific to oil and gas industry. In Indian context much has to be done in this direction to provide grass roots of fundamentals of investing in stocks. Though the percentage of investors are less in population size still the investors don t take decisions on their own because of lack of knowledge, lack of fundamentals of investing, and are normally approach to stock broking companies for better selection of their portfolios. This empirical study without any doubt will contribute to understand the macroeconomic indicators and their performance in related to stock market specific to oil and gas industry. Applications of various forecasting methodologies to this type of study will yield multiple answers to the stock market investors. The study results confirm the affect of macroeconomic factors over the oil stock prices at varying levels.

Mitwirkende

Autor:
Inumula, Krishna Murthy

Weitere Informationen

Biografie:
Doctorate in statistics and certified project professional having 12 years of experience in academics, research and consultancy.Subjects of interest probability & Statitsics, Econometrics,Operations Research, Operations Management and Project Management. Research interests includes forecasting, efficiency measures, project management & Econometrics
Sprache:
Englisch
Seitenanzahl:
116
Medientyp:
Taschenbuch
Verlag:
LAP Lambert Academic Publishing

Stammdaten

Produkttyp:
Taschenbuch
Verpackungsabmessungen:
0.226 x 0.15 x 0.01 m; 0.18 kg
GTIN:
09783848435906
DUIN:
41LS15FQO2L
CHF 50.25
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