Microstructure Order Flow: Statistical and Economic Evaluation of Nonlinear Forecasts
AbstractIn this paper we propose a novel empirical extension of the standard market microstructure order flow model. The main idea is that heterogeneity of beliefs in the foreign exchange market can cause model instability and such instability has not been fully accounted for in the existing empirical literature. We investigate this issue using two di¤erent data sets and focusing on out- of-sample forecasts. Forecasting power is measured using standard statistical tests and, additionally, using an alternative approach based on measuring the economic value of forecasts after building a portfolio of assets. We nd there is a substantial economic value on conditioning on the proposed models.
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Bibliographic InfoPaper provided by Scottish Institute for Research in Economics (SIRE) in its series SIRE Discussion Papers with number 2010-107.
Date of creation: 2010
Date of revision:
microstructure; order flow; forecasting;
Other versions of this item:
- Mario Cerrato & Hyunsok Kim & Ronald MacDonald, 2010. "Microstructure order flow: statistical and economic evaluation of nonlinear forecasts," Working Papers 2010_30, Business School - Economics, University of Glasgow.
- F31 - International Economics - - International Finance - - - Foreign Exchange
- F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Della Corte, Pasquale & Sarno, Lucio & Tsiakas, Ilias, 2007.
"An Economic Evaluation of Empirical Exchange Rate Models,"
CEPR Discussion Papers
6598, C.E.P.R. Discussion Papers.
- Pasquale Della Corte & Lucio Sarno & Ilias Tsiakas, 2009. "An Economic Evaluation of Empirical Exchange Rate Models," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3491-3530, September.
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