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Predicting stock price movements: an ordered probit analysis on the Australian Securities Exchange

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Publication:2869970
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DOI10.1080/14697688.2010.494612zbMath1278.91194OpenAlexW2150693748MaRDI QIDQ2869970

Joey Wenling Yang, Jerry Parwada

Publication date: 17 January 2014

Published in: Quantitative Finance (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/14697688.2010.494612


zbMATH Keywords

stock pricesordered probitautoregressive conditional durationtrade imbalance


Mathematics Subject Classification ID

Statistical methods; risk measures (91G70)


Related Items (2)

Discrete-response state space models with conditional heteroscedasticity: an application to forecasting the federal funds rate target ⋮ A conditional fuzzy inference approach in forecasting




Cites Work

  • Analysing liquidity and absorption limits of electronic markets with volume durations
  • Continuous Auctions and Insider Trading
  • Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
  • Durations, volume and the prediction of financial returns in transaction time
  • Polychotomous Quantal Response in Biological Assay




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