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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Estimating the opening stock price index for Indian market under the influence of varying crude oil and Dollar values through statistical time series analysis

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pp. 1073–1079Vol. 45Issue 4May 2024DOI: 10.47974/JIOS-1692XML
Published Online:
08 Jun 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1692
Pages:
1073–1079

Abstract

The proposed effort is a research analysis of the effect of various macroeconomic determinants such as price of Oil, Gold price and rate of Exchange (USD to INR) over Indian stock exchange market (we took NSE catalog as a reference for Indian share market). In proposed study, we took recurrent data for time period of 14 years i.e. 2008 to 2022. In proposed work, first of all we established a correlation between various macroeconomic determinants (price of Gold, Oil price and US dollar exchange rate) with NSEI (National Stock Exchange of India). Once correlation is found between these entities, we formulated regression equations to forecast opening value of NSEI centered on historical values of macroeconomic determinants. Here we devised seven different models and concluded the best models amongst them. Then we tested the given results from regression analysis by providing a test data and comparing the results of actual value of NSEI with the predicted value. Finally, we proposed finest prototype to forecast the National Stock Exchange index.

Keywords

Regression modelingCorrelationDecompositionMacroeconomic commodities

Subject Classifications

62J0562M1097K40

References

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