The garch model to analyze the volatility of oil and gas sector stocks

The paper considers the importance of GARCH models for analyzing volatility in financial markets. The paper also presents an algorithm for writing code for analyzing financial instruments using Python as an example of ordinary shares of Tatneft and Rosneft cc. As a result of the analysis, conclusions were drawn about the volatility behavior of these stocks and, taking into account this factor, the attractiveness of the considered instruments for various types of investors was determined. Thus, it was concluded that Tatneft shares are more suitable for traders, and Rosneft shares are more suitable for investors.

Authors

Publication Details

Journal
Scientific Works of the Free Economic Society of Russia
Published
2025-01-01
DOI
https://doi.org/10.38197/2072-2060-2025-252-2-133-157
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13
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article

The garch model to analyze the volatility of oil and gas sector stocks

A.A. MISHIN, O.S. VAKULENKO
1 citations
Scientific Works of the Free Economic Society of Russia
Market Dynamics and Volatility
3.13
article

The garch model to analyze the volatility of oil and gas sector stocks

A.A. MISHIN, O.S. VAKULENKO
article en
1 citations

Abstract

The paper considers the importance of GARCH models for analyzing volatility in financial markets. The paper also presents an algorithm for writing code for analyzing financial instruments using Python as an example of ordinary shares of Tatneft and Rosneft cc. As a result of the analysis, conclusions were drawn about the volatility behavior of these stocks and, taking into account this factor, the attractiveness of the considered instruments for various types of investors was determined. Thus, it was concluded that Tatneft shares are more suitable for traders, and Rosneft shares are more suitable for investors.

Scientific Works of the Free Economic Society of RussiaVol. 252(2)
Openalex Percentile: Top 8%
Market Dynamics and Volatility
3.13
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