References

• n.d.Forecasting principles and practice4,364 cited
• 2003Modeling and Forecasting Realized Volatility3,887 cited
• 2007Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?2,916 cited
• 2005A forecast comparison of volatility models: does anything beat a GARCH(1,1)?1,783 cited
• 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
• 2015Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin1,386 cited
• 2017Volatility estimation for Bitcoin: A comparison of GARCH models1,095 cited
• 2015What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis989 cited
• 2013BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era859 cited
• 2015Deep learning for event-driven stock prediction675 cited
• 2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
• 2001The Economic Value of Volatility Timing Using 'Realized' Volatility476 cited
• 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
• 2014The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy466 cited