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Revisiting the ∪-shaped patterns in volatility and price impacts: Novel results using trade-time estimates

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  • Barardehi, Yashar H.
  • Bernhardt, Dan

Abstract

When measured using trade-time aggregation, intraday patterns in trading activity remain ∪-shaped, but estimates of volatility and Kyle’s lambda fall sharply from open to close. ∪-shaped patterns in volatility and Kyle’s lambda found using commonly-used calendar-time aggregation reflect over-aggregation biases when trading activity is high as near the open and close. Indicative of imperfectly-competitive liquidity provision, trade-time aggregation also reveals that in active markets, expected trade imbalances are positively priced and unexpected trade imbalances are more strongly priced when they share the sign of expected imbalances, while in less active markets expected trade imbalances are negatively priced.

Suggested Citation

  • Barardehi, Yashar H. & Bernhardt, Dan, 2025. "Revisiting the ∪-shaped patterns in volatility and price impacts: Novel results using trade-time estimates," Journal of Financial Markets, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:finmar:v:74:y:2025:i:c:s1386418125000114
    DOI: 10.1016/j.finmar.2025.100971
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    2. Natsumi Ochiai & Hisashi Tanizaki, 2026. "Intraday volatility of 24-hour trading pattern in Japanese market," SN Business & Economics, Springer, vol. 6(1), pages 1-17, January.

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    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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