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Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method

Author

Listed:
  • Tazhikul Mashirova

    (M.Auezov South Kazakhstan University, Shymkent, Kazakhstan)

  • Karlygash Tastanbekova

    (International Taraz innovative institute named after Sherhan Murtaza, Taraz, Kazakhstan)

  • Murat Nurgabylov

    (International Taraz innovative institute named after Sherhan Murtaza, Taraz, Kazakhstan)

  • Gulnar Lukhmanova

    (Zhetysu University named after I. Zhansugurov, Taldykorgan, Kazakhstan)

  • Kundyz Myrzabekkyzy

    (Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan)

Abstract

This study analyzes the causal relationship between the highest price formation and trading volume in Energy Company stocks traded on KASE. In addition, Granger causality analysis is strengthened with frequency domain causality analysis to determine the concentration points of the causality relationship. This aspect provides vital decision support, especially in investment decisions. Three different relationships are identified for the causality between the highest price formation and the transaction volume. There is a two-way causality relationship for KEGC and a one-way for KZTO. No causal relationship was found for KZAP. These results can be interpreted as an indication that the Kazakhstan stock market offers a rich portfolio for investors. The causality structure of the investment climate in Kazakhstan can be analyzed by similar studies on the composite index and other companies traded in KASE. The time interval of the study was determined as between 01.01.2021 and 31.01.2023 and the data used were retrieved from the investing.com website.

Suggested Citation

  • Tazhikul Mashirova & Karlygash Tastanbekova & Murat Nurgabylov & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 22-27, July.
    • Handle: RePEc:eco:journ2:2023-04-4
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    References listed on IDEAS

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    Cited by:

    1. Gulbakhram Sartbayeva & Elmira Balapanova & Darkhan Kozhanovich Mamytkanov & Lyazat Talimova & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "The Relationship between Energy Consumption (Renewable Energy), Economic Growth and Agro-Industrial Complex in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 227-233, November.
    2. Zhanar Dyussembekova & Aina B. Aidarova & Elmira Balapanova & Dilmina Kuatova & Gaukhar Zh. Seitkhamzina & Artur Bolganbayev, 2023. "The Effect of Freight and Passenger Transportation and Energy Production on Economic Growth in the Framework of Macro-Economic Indicators: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 74-80, November.

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    More about this item

    Keywords

    Kazakhstan; KASE; Energy; Share Index; Transaction Volume; Price Formation; Granger Causality.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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