VPIN and the Flash Crash
AbstractEasley, Lopez de Prado and O'Hara introduce VPIN as a real-time indicator of order flow toxicity. They find it useful for monitoring order fl ow imbalances and signaling impending market turmoil, exemplified by the ash crash. They also deem VPIN a good forecaster of short-term volatility. In contrast, we find that VPIN is a poor volatility predictor, that it only reached an all-time high following the ash crash, and that its predictive content stems from a mechanical relation with trading intensity. Generally, we caution against adoption of any specific market stress metric until it is compared thoroughly to suitable benchmarks.
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Bibliographic InfoPaper provided by School of Economics and Management, University of Aarhus in its series CREATES Research Papers with number 2011-50.
Date of creation: 30 Oct 2011
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Web page: http://www.econ.au.dk/afn/
VPIN; PIN; High-Frequency Trading; Order Flow Toxicity; Order Imbalance; Flash Crash; VIX; Volatility Forecasting.;
Find related papers by JEL classification:
- G01 - Financial Economics - - General - - - Financial Crises
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
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- Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
- Andersen, Torben G, 1996. " Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
- Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
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