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  • Search: person:"He, Lidan"
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Year of publication
Subject
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Forecasting model 2 Neural networks 2 Neuronale Netze 2 Prognoseverfahren 2 Volatility 2 Volatilität 2 Artificial intelligence 1 Forecast 1 Forecasting 1 Künstliche Intelligenz 1 Machine learning 1 Panel 1 Panel data analysis 1 Panel study 1 Prognose 1 Realized volatility 1 Theorie 1 Theory 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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He, Lidan 2 Liu, Zhi 2 Bai, Lu 1 Bucci, Andrea 1 Zhu, Haibin 1
Published in...
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Journal of empirical finance 1
Source
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ECONIS (ZBW) 2
Showing 1 - 2 of 2
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Forecasting realized volatility with machine learning : panel data perspective
Zhu, Haibin; Bai, Lu; He, Lidan; Liu, Zhi - In: Journal of empirical finance 73 (2023), pp. 251-271
Persistent link: https://www.econbiz.de/10014477028
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Combining Dimensionality Reduction with Neural Networks for Realized Volatility Forecasting
He, Lidan; Bucci, Andrea; Liu, Zhi - 2021
The application of artificial neural networks to finance has received a great deal of attention from both investors and researchers, especially as a forecasting method. When the number of predictors is high, these methods suffer from the so-called "curse of dimensionality" and produce biased...
Persistent link: https://www.econbiz.de/10013233916
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