References

• 2001Empirical properties of asset returns: stylized facts and statistical issues3,658 cited
• 2017Forecasting at Scale3,054 cited
• 2020Empirical Asset Pricing via Machine Learning2,832 cited
• 1980On estimating the expected return on the market2,818 cited
• 1986Noise1,826 cited
• 2000Structural Equation Modeling: Foundations and Extensions1,821 cited
• 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward1,659 cited
• 2014Big Data: New Tricks for Econometrics1,608 cited
• 2015Does Academic Research Destroy Stock Return Predictability?1,563 cited
• 2009The Fourth Paradigm: Data-Intensive Scientific Discovery1,439 cited
• 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,177 cited
• 1980On Estimating the Expected Return on the Market: An Exploratory Investigation775 cited
• 2020Evaluating time series forecasting models: an empirical study on performance estimation methods610 cited
• 2021Machine learning in the Chinese stock market593 cited
• 2013Machine Learning Strategies for Time Series Forecasting575 cited