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Universal features of price formation in financial markets: perspectives from deep learning
Justin Sirignano, Rama Cont
Industrial and Enterprise Systems Engineering
Coordinated Science Lab
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peer-review
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Keyphrases
Specific Model
100%
Universal Characteristic
100%
Financial Markets
100%
Deep Learning
100%
Order Flow
100%
Flow History
100%
Price Formation
100%
Market Perspectives
100%
Path Dependence
50%
Deep Learning Methods
50%
Nonparametric
50%
Prediction Accuracy
50%
Training Data
50%
Data Normalization
50%
Volatility
50%
Price Dynamics
50%
Training Samples
50%
Price Level
50%
Sampling Accuracy
50%
US Equities
50%
Financial Data
50%
Sector-specific
50%
Training Results
50%
Price Formation Model
50%
Frequency Database
50%
Large-scale Deep Learning
50%
Economics, Econometrics and Finance
Financial Market
100%
New Orders
100%
Time Series
50%
Volatility
50%
Price Level
50%
Path Dependence
50%
Earth and Planetary Sciences
Time Series
100%
Financial Market
100%
Price Dynamics
100%