sprasadhpy / Crowded-trades-Sector-rotation
Implemented the paper Kinlaw, W., Kritzman, M., & Turkington, D. (2019). Crowded trades: Implications for sector rotation and factor timing. The Journal of Portfolio Management, 45(5), 46-57.
☆18Updated 3 years ago
Alternatives and similar repositories for Crowded-trades-Sector-rotation:
Users that are interested in Crowded-trades-Sector-rotation are comparing it to the libraries listed below
- Some Python codes for explorating High Frequency Data, Generating and Estimating Hawkes Processes and Simulating Limit Order Books.☆44Updated 4 years ago
- An implementation of Avellaneda-Stoikov market making model after reading the seminal paper☆30Updated 3 years ago
- This is for the capstone project "Optimal Execution of a VWAP order".☆32Updated 5 years ago
- Calibrates microprice model to BitMEX quote data☆56Updated 3 years ago
- A financial trading method using machine learning.☆58Updated last year
- Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden sta…☆32Updated 4 years ago
- ☆39Updated 3 years ago
- A model simulation shows how pairs trading could be used for two S&P500 traded stocks. It proofs that the strategy is successful on real…☆24Updated 4 years ago
- Notes on Advances in Financial Machine Learning☆76Updated 6 years ago
- Literature survey of order execution strategies implemented in python☆41Updated 4 years ago
- 多因子模型相关☆21Updated 3 years ago
- HFT & Stochastic control numerical implementations from "Optimal high frequency trading with limit and market orders" (GUILBAUD & PHAM)☆27Updated 10 months ago
- Implementation of "OPTIMAL MARKET MAKING BY REINFORCEMENT LEARNING"