azapy 1.0.1

Financial Portfolio Optimization Algorithms

azapy project

Financial Portfolio Optimization Algorithms

An open-source python library for everybody

Author: Mircea Marinescu

email: [e-mail]

Package documentation

Package installation: pip install azapy

Contents

A. Risk-based portfolio optimization algorithms:

1. mCVaR - mixture CVaR (Conditional Value at Risk)
2. mSMCR - mixture SMCR (Second Moment Coherent Risk)
3. mMAD - m-level MAD (Mean Absolute Deviation)
4. mLSD - m-level LSD (Lower Semi-Deviation)
5. mBTAD - mixture BTAD (Below Threshold Absolute Deviation)
6. mBTSD - mixture BTSD (Below Threshold Semi-Deviation)
7. GINI - Gini index (as in Corrado Gini statistician 1884-1965)
8. SD - standard deviation
9. MV - variance (as in mean-variance model)

For each class of portfolio the following optimization strategies are available:

1. Minimization of dispersion for targeted expected rate of return value
2. Maximization of generalized Sharpe ratio
3. Minimization of inverse of generalized Sharpe ratio
4. Minimum risk portfolio
5. Maximization of expected rate of return for a risk vale generated by a benchmark portfolio (e.g. same risk as equal weighted portfolio)
6. Maximization of expected rate of returns for fixed risk-aversion factor
7. Maximization of diversification factor for targeted expected rate of return value (alpha version)
8. Maximum diversified portfolio (alpha version)

B. "Naïve" portfolio strategies:

1. Constant weighted portfolio. A particular case is equal weighted portfolio.
2. Inverse volatility portfolio (i.e. portfolio weights are proportional to the inverse of asset volatilities)
3. Inverse variance portfolio (i.e. portfolio weights are proportional to the inverse of asset variances)
4. Inverse drawdown portfolio (i.e. portfolio weights are proportional to the asset absolute value of maximum drawdowns over a predefined historical period)

C. Greedy portfolio optimization strategies:

1. Kelly's portfolio (as in John Larry Kelly Jr. scientist 1923-1965) - maximization of portfolio log returns

Utility functions:

• Collect historical market data from various providers. Supported providers:

  • yahoo.com
  • eodhistoricaldata.com
  • alphavantage.co
  • marketstack.com

• Generate business calendars. At this point only NYSE business calendar is implemented.

• Generate rebalancing portfolio schedules.

• Append a cash-like security to an existing market data object.

• Update market data saved in a directory.