- Susan Athey
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Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
- Deep Learning in Stock Pricing, Banking and Online Market, Macroeconomic, Financial Market (Service & risk management)
- Deep Reinforcement Learning in Stock Trading
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The Impact of Machine Learning on Economics
- Prediction in Policy Analysis
- Causal Inference
- alter link
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Machine Learning: An Applied Econometric Approach
- Prediction in Policy
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- Review of NLP in Economics and Finance
- 经济学应用主要体现在刻画经济政策不确定性、对行业进行动态分类、预测经济周期、度量媒体报道偏差及新闻需求和量化央行政策沟通内容等问题中.在金融学中的应用主要包括在刻画关注度、情绪、可读性、隐含波动率和意见不一致性等五个方面的指标.
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- SVD, LDA, Text
- code
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Machine-Learning-for-Economic-Analysis-2020
- Instrumental variables, CV, Lasso, Trees/Forests, NN, Unsupervised Learning
- code
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Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
- notebook code for Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry by Isaiah Hull (Apress, 2020).
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- ppt
- Trees/Forests for Economic
- EconML
- A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
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Machine-Learning-in-Economics-and-Finance
- predict Electronic signing of Loans
- hybrid mutual funds
- predict stock prices
- Investment growth prediction of Reserve Bank of India (RBI) on a year on year(YoY) basis and how the Monetary policies are enforced by the central bank