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

  • Joey Wenling Yang
  • Jerry Parwada

Using stocks from a wide range of industry sectors on the Australian Securities Exchange, this paper examines the conditional distribution of intra-day stock prices and predicts the direction of the next price change in an ordered-probit-GARCH framework that accounts for the discreteness of prices. The analysis also incorporates the endogeneity of the time between trades in an ACD framework. Other elements considered include depth, trade imbalance, and volume. The results show that trade imbalance has a positive effect on the probability of price change. Durations have a negative effect. In-sample and out-of-sample forecasting analyses reveal that, in 71% of cases, the system successfully predicts the direction of the subsequent price change.

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File URL: http://hdl.handle.net/10.1080/14697688.2010.494612
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Article provided by Taylor & Francis Journals in its journal Quantitative Finance.

Volume (Year): 12 (2012)
Issue (Month): 5 (October)
Pages: 791-804

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Handle: RePEc:taf:quantf:v:12:y:2012:i:5:p:791-804
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