Jump Detection and Noise Separation by a Singular Wavelet Method for Predictive Analytics of High-Frequency Data
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DOI: 10.1007/s10614-019-09881-3
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- Zhang, Junting & Liu, Haifei & Bai, Wei & Li, Xiaojing, 2024. "A hybrid approach of wavelet transform, ARIMA and LSTM model for the share price index futures forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
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- Hussain, Syed Mujahid & Ahmad, Nisar & Ahmed, Sheraz, 2023. "Applications of high-frequency data in finance: A bibliometric literature review," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Lucian Liviu Albu & Radu Lupu, 2020. "Anomaly detection in stock market indices with neural networks," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 10-23, November.
- Ao Kong & Robert Azencott & Hongliang Zhu & Xindan Li, 2024. "Pattern Recognition in Microtrading Behaviors Preceding Stock Price Jumps: A Study Based on Mutual Information for Multivariate Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1401-1429, April.
- Radu LUPU & Iulia LUPU & Tanase STAMULE & Mihai ROMAN, 2022. "Entropy as Leading Indicator for Extreme Systemic Risk Events," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 58-73, December.
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More about this item
Keywords
Convex optimization; Forecasting; Jump detection; High-frequency data; Reinforcement learning; Wavelet;All these keywords.
JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
Statistics
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