Big Data Analytics and Business Architecture of Indian Stock Market

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2020, 2020

6200586349 / 9786200586346

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the prediction of stock market movements of India using big data analytics. Stock markets have shifted from the guiding principle of standard finance into behavioral finance. Forecasting is one of the classic issues since the stock markets are volatile, stochastic and non-linear in nature. The values of Momentum, Relative Strength Index, Williams %R and Commodity Channel Index indicated both bullish and bearish trends for BSE-Sensex and NSE-Nifty stock indices which were rampant and robust during the study period. This phenomenon negates the Efficient Market Hypothesis, but it confirmed the existence of Random Walk Theory in the realm of capital market movements. One of the neural network methods, the k-nn algorithm exhibited a higher predictive accuracy than the logistic regression approach. The business architecture and market value of company stocks are changing in every millisecond. The close correlation between the predicted and the actual values indicated that deep learning methods such as Machine Learning and Artificial Neural Networks were more powerful tools in the stock price prediction and helped the investors to make intelligent investment decisions. 232 pp. Englisch.…

Seller Inventory # 9786200586346

Title
Big Data Analytics and Business Architecture of Indian Stock Market
Author
Sigo Marxia Oli
Publisher
LAP LAMBERT Academic Publishing Feb 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200586349
ISBN 13
9786200586346
Item weight
364 grams
Dimensions
220x150x14 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany