New Perspective on FX Markets: Order‐Flow Analysis
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DOI: 10.1111/1468-2362.00075
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Cited by:
- Alexander Jakob Dautel & Wolfgang Karl Härdle & Stefan Lessmann & Hsin-Vonn Seow, 2020.
"Forex exchange rate forecasting using deep recurrent neural networks,"
Digital Finance, Springer, vol. 2(1), pages 69-96, September.
- Dautel, Alexander J. & Härdle, Wolfgang Karl & Lessmann, Stefan & Seow, Hsin-Vonn, 2019. "Forex Exchange Rate Forecasting Using Deep Recurrent Neural Networks," IRTG 1792 Discussion Papers 2019-008, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Dautel, Alexander Jakob & Härdle, Wolfgang Karl & Lessmann, Stefan & Seow, Hsin-Vonn, 2020. "Forex exchange rate forecasting using deep recurrent neural networks," IRTG 1792 Discussion Papers 2020-006, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alexander Mende & Lukas Menkhoff, 2003. "Tobin Tax Effects Seen from the Foreign Exchange Market's Microstructure," International Finance, Wiley Blackwell, vol. 6(2), pages 227-247, July.
- Hasselgren, Anton & Peltomäki, Jarkko & Graham, Michael, 2020. "Speculator activity and the cross-asset predictability of FX returns," International Review of Financial Analysis, Elsevier, vol. 72(C).
- Abolaji Daniel Anifowose & Izlin Ismail & Mohd Edil Abd Sukor, 2018. "Currency Order Flow and Exchange Rate Determination: Empirical Evidence from the Malaysian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 19(4), pages 902-920, August.
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