Arbeitspapier

Volatility, information feedback and market microstructure noise: A tale of two regimes

We extend the classical "martingale-plus-noise" model for high-frequency prices by an error correction mechanism originating from prevailing mispricing. The speed of price reversal is a natural measure for informational efficiency. The strength of the price reversal relative to the signal-to-noise ratio determines the signs of the return serial correlation and the bias in standard realized variance estimates. We derive the model's properties and locally estimate it based on mid-quote returns of the NASDAQ 100 constituents. There is evidence of mildly persistent local regimes of positive and negative serial correlation, arising from lagged feedback effects and sluggish price adjustments. The model performance is decidedly superior to existing stylized microstructure models. Finally, we document intraday periodicities in the speed of price reversion and noise-to-signal ratios.

Sprache
Englisch

Erschienen in
Series: CFS Working Paper Series ; No. 569

Klassifikation
Wirtschaft
Financial Econometrics
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Information and Market Efficiency; Event Studies; Insider Trading
Thema
volatility estimation
market microstructure noise
price reversal
momentum trading
contrarian trading

Ereignis
Geistige Schöpfung
(wer)
Andersen, Torben G.
Cebiroglu, Gökhan
Hautsch, Nikolaus
Ereignis
Veröffentlichung
(wer)
Goethe University Frankfurt, Center for Financial Studies (CFS)
(wo)
Frankfurt a. M.
(wann)
2017

Handle
URN
urn:nbn:de:hebis:30:3-430076
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Andersen, Torben G.
  • Cebiroglu, Gökhan
  • Hautsch, Nikolaus
  • Goethe University Frankfurt, Center for Financial Studies (CFS)

Entstanden

  • 2017

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