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The liquidity of energy stocks

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  • Sklavos, Konstantinos
  • Dam, Lammertjan
  • Scholtens, Bert

Abstract

This study investigates the dynamics of stock market liquidity in the energy industry in the US for 130 firms for the period 2006–2011. We use a (structural) vector autoregression approach to model the simultaneous relationships between three liquidity measures, namely turnover, price impact and spread. In addition, we account for oil prices in this model. The liquidity measures exhibit a persistent (highly autocorrelated) pattern. The intensity of trading appears to be relevant for the interrelationships of the liquidity measures. Stocks that are traded more often seem to be less sensitive to changes in liquidity. The main contribution of this study is that we introduce and test a specific causality pattern between trading activity, price impact, and spreads of energy stocks. This causality pattern is stronger during illiquid periods, which makes these periods much more risky.

Suggested Citation

  • Sklavos, Konstantinos & Dam, Lammertjan & Scholtens, Bert, 2013. "The liquidity of energy stocks," Energy Economics, Elsevier, vol. 38(C), pages 168-175.
    • Handle: RePEc:eee:eneeco:v:38:y:2013:i:c:p:168-175
    DOI: 10.1016/j.eneco.2013.02.015
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    Citations

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    Cited by:

    1. Shin S. Ikeda, 2015. "Illiquidity in the Japanese Day-Ahead Electricity Market," GRIPS Discussion Papers 15-04, National Graduate Institute for Policy Studies.
    2. Priyanka Naik & B G Poornima & Y V Reddy, 2020. "Measuring liquidity in Indian stock market: A dimensional perspective," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    3. Qin Zhang & Jin Boon Wong, 2023. "The influence of oil price uncertainty on stock liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 141-167, February.
    4. Ben Ammar, Semir & Eling, Martin, 2015. "Common risk factors of infrastructure investments," Energy Economics, Elsevier, vol. 49(C), pages 257-273.
    5. Zheng, Xinwei & Su, Dan, 2017. "Impacts of oil price shocks on Chinese stock market liquidity," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 136-174.
    6. Prodromou, Tina & Demirer, Riza, 2022. "Oil price shocks and cost of capital: Does market liquidity play a role?," Energy Economics, Elsevier, vol. 115(C).
    7. Priyanka Naik & Y. V. Reddy, 2021. "Stock Market Liquidity: A Literature Review," SAGE Open, , vol. 11(1), pages 21582440209, January.
    8. Efstathios Panayi & Gareth Peters & Ioannis Kosmidis, 2014. "Liquidity commonality does not imply liquidity resilience commonality: A functional characterisation for ultra-high frequency cross-sectional LOB data," Papers 1406.5486, arXiv.org.
    9. Qin Zhang & Jin Boon Wong, 2022. "Do oil shocks impact stock liquidity?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 472-491, March.
    10. Sabet, Amir H. & Heaney, Richard, 2015. "Bid-ask spread, information asymmetry and acquisition of oil and gas assets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 77-84.

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    More about this item

    Keywords

    Liquidity; Energy stocks; Oil returns; US;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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