Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Abstract of Nifty 50 Stock Market Data Analysis By: Margaret Marie Coulter Instructor: Dr. Monireh Rahmati Bongisouei Data Analytics 3260

Analysis of the Nifty-50 Stock Market Dataset (2000 – 2021) and Stock Price Data of the Fifty Stocks in NIFTY-50 Index from National Stock Exchange (NSE) India The dataset analyzed contained the price history and trading volumes of the fifty stocks in the NIFTY-50 index from the time period January 1, 2000, to April 30, 2021. The analysis focused on determining whether the volume-weighted average, or the simple moving average better predicted the stock’s price. The effect of the stock’s trading volume on predictions based on the two methods was also evaluated. From 2000 to 2024, there was not much correlation between the volume of the stocks traded and the volume weighted moving average. However, from 2020 to 2024, there appeared to be some potential positive correlation between the average volume and the volume weighted average price. However, the simple moving average price correlated better with the actual stock prices over the entire data range. Obviously, since this was a limited time frame data set on only 50 stocks, much more research is needed.

Document Type

abstracts (summaries)

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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Nifty 50 Stock Market Data Analysis

Abstract of Nifty 50 Stock Market Data Analysis By: Margaret Marie Coulter Instructor: Dr. Monireh Rahmati Bongisouei Data Analytics 3260

Analysis of the Nifty-50 Stock Market Dataset (2000 – 2021) and Stock Price Data of the Fifty Stocks in NIFTY-50 Index from National Stock Exchange (NSE) India The dataset analyzed contained the price history and trading volumes of the fifty stocks in the NIFTY-50 index from the time period January 1, 2000, to April 30, 2021. The analysis focused on determining whether the volume-weighted average, or the simple moving average better predicted the stock’s price. The effect of the stock’s trading volume on predictions based on the two methods was also evaluated. From 2000 to 2024, there was not much correlation between the volume of the stocks traded and the volume weighted moving average. However, from 2020 to 2024, there appeared to be some potential positive correlation between the average volume and the volume weighted average price. However, the simple moving average price correlated better with the actual stock prices over the entire data range. Obviously, since this was a limited time frame data set on only 50 stocks, much more research is needed.