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Supervised deep learning in computational finance
S. Liu
Numerical Analysis
Research output
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Thesis
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Dissertation (TU Delft)
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Dive into the research topics of 'Supervised deep learning in computational finance'. Together they form a unique fingerprint.
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INIS
learning
100%
volatility
100%
risks
66%
management
66%
calculation methods
66%
neural networks
66%
machine learning
66%
approximations
66%
assets
66%
solutions
66%
stochastic processes
66%
increasing
33%
mathematical models
33%
demand
33%
prices
33%
simulation
33%
financial data
33%
information
33%
process solutions
33%
speed
33%
output
33%
partial differential equations
33%
monte carlo method
33%
volume
33%
accuracy
33%
input-output
33%
industry
33%
data
33%
balances
33%
brownian movement
33%
Economics, Econometrics and Finance
Finance
100%
Learning
100%
Volatility
75%
Derivative Pricing
50%
Machine Learning
50%
Risk Management
50%
Specific Industry
25%
Levy Process
25%
Options
25%
Scientific Modelling
25%
Information
25%
Monte Carlo Simulation
25%
Computer Science
Machine Learning Technique
66%
Risk Management
66%
Universal Approximation
33%
Output Relation
33%
Financial Industry
33%
Speed-up
33%
Computational Task
33%
Deep Neural Network
33%
Monte Carlo Simulation
33%
Big Data
33%
Financial Data
33%
Partial Differential Equation
33%
Computing
33%
Input/Output
33%
Model Accuracy
33%
Mathematics
Mathematical Finance
100%
Computational Finance
100%
Fractional Brownian Motion
50%