relriskparity
Build a relaxed risk parity portfolio based on least squares approach
Usage
relriskparity [-ve VERSION] [-rc RISK_CONTRIBUTION] [-pf PENAL_FACTOR] [-tr TARGET_RETURN] [-de SMOOTHING_FACTOR_EWMA] [-mt METHOD] [-ct CATEGORIES] [-p PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [--freq {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-v LONG_ALLOCATION] [--name NAME]
Parameters
| Name | Parameter | Description | Default | Optional | Choices |
|---|---|---|---|---|---|
| risk_parity_model | -ve --version | version of relaxed risk parity model: Possible values are: 'A': risk parity without regularization and penalization constraints 'B': with regularization constraint but without penalization constraint 'C': with regularization and penalization constraints | A | True | A, B, C |
| risk_contribution | -rc --risk-cont | Vector of risk contribution constraints | None | True | None |
| penal_factor | -pf --penal-factor | The penalization factor of penalization constraints. Only used with version 'C'. | 1 | True | None |
| target_return | -tr --target-return | Constraint on minimum level of portfolio's return | -1 | True | None |
| smoothing_factor_ewma | -de --d-ewma | Smoothing factor for ewma estimators | 0.94 | True | None |
| nan_fill_method | -mt --method | Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points | time | True | linear, time, nearest, zero, slinear, quadratic, cubic, barycentric |
| categories | -ct --categories | Show selected categories | True | None | |
| historic_period | -p --period | Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset | 3y | True | 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 3y, 5y, 10y, ytd, max |
| start_period | -s --start | Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format | True | None | |
| end_period | -e --end | End date to get yfinance data from. Must be in 'YYYY-MM-DD' format | True | None | |
| log_returns | -lr --log-returns | If use logarithmic or arithmetic returns to calculate returns | False | True | None |
| return_frequency | --freq | Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns | d | True | d, w, m |
| max_nan | -mn --maxnan | Max percentage of nan values accepted per asset to be considered in the optimization process | 0.05 | True | None |
| threshold_value | -th --threshold | Value used to replace outliers that are higher to threshold in absolute value | 0.3 | True | None |
| long_allocation | -v --value | Amount to allocate to portfolio | 1 | True | None |
| name | --name | Save portfolio with personalized or default name | RRP_0 | True | None |
Examples
2022 Apr 05, 14:08 (🦋) /portfolio/po/ $ relriskparity
[3 Years] Relaxed risk parity portfolio based on least squares approach
Weights
┏━━━━━━┳━━━━━━━━━┓
┃ ┃ Value ┃
┡━━━━━━╇━━━━━━━━━┩
│ AAPL │ 13.42 % │
├──────┼─────────┤
│ AMZN │ 16.51 % │
├──────┼─────────┤
│ BA │ 10.18 % │
├──────┼─────────┤
│ FB │ 12.83 % │
├──────┼─────────┤
│ MSFT │ 14.36 % │
├──────┼─────────┤
│ T │ 24.0 % │
├──────┼─────────┤
│ TSLA │ 8.68 % │
└──────┴─────────┘
Annual (by 252) expected return: 28.99%
Annual (by √252) volatility: 26.60%
Sharpe ratio: 1.0899