IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2023-03-5.html
   My bibliography  Save this article

The Relationship between the Highest Prices and Trading Volume in the Share Indices of Energy and Oil Companies in Kazakhstan

Author

Listed:
  • Elmira Y. Zhussipova

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

  • Serikbay Saduakasuly Ydyrys

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

  • Ulmeken Makhanbetova

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

  • Gulzhanat Tayauova

    (Turan University, Almaty, Kazakhstan)

  • Zhansulu Pirmanova

    (Peoples Friendship University named after Academician A. Kuatbekov, Shymkent, Kazakhstan)

Abstract

This study uses econometric methods to reveal the relationship between the highest price formation and trading volume in the share indices of energy and oil companies traded on the Kazakhstan Stock Exchange (KASE). The study used daily transaction data of KEGC, KZAP, and KZTO companies for 200 trading days in 2022. The analysis is based on the VAR method. The shock effect analysis concluded that there is a mutual interaction between the trading volume and the highest price formation for all three companies. Trading volume had a causal effect on the highest price of only one company (KZTO). The existence of a correlation between the trading volume and the highest price formation is important for investment decisions. This can be interpreted as an indication of a connection between the trading volume and the highest price formation in KASE. More information on this relationship can be obtained by performing similar analyses for other companies traded in the KASE.

Suggested Citation

  • Elmira Y. Zhussipova & Serikbay Saduakasuly Ydyrys & Ulmeken Makhanbetova & Gulzhanat Tayauova & Zhansulu Pirmanova, 2023. "The Relationship between the Highest Prices and Trading Volume in the Share Indices of Energy and Oil Companies in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 28-35, May.
  • Handle: RePEc:eco:journ2:2023-03-5
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/14189/7278
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/14189
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keating, John W., 1990. "Identifying VAR models under rational expectations," Journal of Monetary Economics, Elsevier, vol. 25(3), pages 453-476, June.
    2. Xu, Xiaoqing Eleanor & Wu, Chunchi, 1999. "The intraday relation between return volatility, transactions, and volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 375-397, November.
    3. Artur Bolganbayev & Baltaim Sabenova & Gulmira Mombekova & Gulnur Sultankhanova & Tazhibayeva Raikhan Musamatovna, 2022. "The Effect of Electricity Generation, Thermal Energy Production, Fixed Capital Investment, and Consumer Price Index on Economic Growth in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 67-72, November.
    4. Saatcioglu, Kemal & Starks, Laura T., 1998. "The stock price-volume relationship in emerging stock markets: the case of Latin America," International Journal of Forecasting, Elsevier, vol. 14(2), pages 215-225, June.
    5. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Liu, Xinghua & Liu, Xin & Liang, Xiaobei, 2015. "Information-driven trade and price–volume relationship in artificial stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 73-80.
    3. Changtai Li & Weihong Huang & Wei-Siang Wang & Wai-Mun Chia, 2023. "Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 677-713, February.
    4. 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.
    5. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    6. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    7. Gaukhar Niyetalina & Elmira Balapanova & Almas Kuralbayev & Gulnar Lukhmanova & Artur Bolganbayev, 2023. "The Relationship of Energy Generation from Fossil Fuels, Low Carbon Resources, and Renewable Resources and Inflation within the Framework of Taylor s Rule: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 9-15, July.
    8. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    9. Tzu-Kuang Hsu & Chin-Chang Tsai, 2017. "Explore the Impact of the Trading Value, The Oil Price and Quantitative Easing Policy on the Taiwan and Korea Stock Market Return with Quantile Regression," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(1), pages 15-26, January.
    10. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    11. Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
    12. Michael Funke, 2000. "Macroeconomic Shocks in Euroland vs. the UK: Supply, Demand, or Nominal?," EUI-RSCAS Working Papers 37, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    13. Tangmongkollert, K. & Suwanna, S., 2016. "Asset price and trade volume relation in artificial market impacted by value investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 126-133.
    14. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    15. Zou, Yongjie & Li, Honggang, 2014. "Time spans between price maxima and price minima in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 303-309.
    16. Baltaim Sabenova & Indira Baubekova & Gulmira Issayeva & Zarema Bigeldiyeva & Artur Bolganbayev, 2023. "Comparative Analysis of Volatility Structures of Stock Index and Energy Company Returns in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 200-206, March.
    17. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    18. Lastrapes, William D. & Selgin, George, 1995. "The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 387-404.
    19. John B. Guerard & Dimitrios D. Thomakos & Foteini Kyriazi & Konstantinos Mamais, 2023. "On the Predictability of the DJIA and S&P500 Indices," Working Papers 2023-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    20. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.

    More about this item

    Keywords

    Kazakhstan; KASE; Oil; Energy; Share Index; Transaction Volume; Price Formation; VAR Analysis;
    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2023-03-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.