The Effect of tick size on testing for nonlinearity in financial markets data

Heather Mitchell, Michael McKenzie

Research output: Contribution to journalArticlepeer-review

Abstract

The discrete nature of financial markets time-series data may prejudice the BDS and Close Returns test for nonlinearity. Our estimation results suggest that a tick/volatility ratio threshold exists, beyond which the test results are biased. Further, tick/volatility ratios that exceed these thresholds are frequently observed in financial markets data, which suggests that the results of the BDS and CR test must be interpreted with caution.
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalJournal of mathematical finance
Volume1
Issue number1
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • Compass Rose
  • Tick/Volatility Ratio
  • BDS Test
  • Close Returns Test

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