Skip to main navigation
Skip to search
Skip to main content
NYU Scholars Home
Help & FAQ
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Neural Networks in Finance: Design and Performance
Irene Aldridge, Marco Avellaneda
Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Neural Networks in Finance: Design and Performance'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Neural Network
100%
Training Period
33%
Popular
16%
Concrete Application
16%
Modeller
16%
Activation Function
16%
Technical Analysis
16%
S&P 500
16%
Buy-and-hold
16%
Trading Strategy
16%
Additional Inputs
16%
Tanh
16%
Financial Returns
16%
Step Techniques
16%
Short Training
16%
Financial Time Series
16%
Forecast Performance
16%
Forecasting Power
16%
Neural Network Prediction
16%
Financial Data
16%
Moving Average Crossover
16%
Neural Network Activation Function
16%
U.S. Stocks
16%
Economics, Econometrics and Finance
Time Series
100%
Finance
100%
Smoothing Technique
100%
Computer Science
Neural Network
100%
Activation Function
25%
Training Period
25%
Modelers
12%
Moving Average
12%
Financial Time
12%
Financial Data
12%