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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

5.1 KiB
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title, description, keywords
title description keywords
riskparity This docusaurus page provides detailed information on how to build a risk parity portfolio using the risk budgeting approach. The user can make use of many available parameters and conditions to customize the portfolio and its conditions as per their requirements.
risk parity portfolio
risk budgeting approach
portfolio optimization
portfolio parameters
risk measures
docusaurus documentation
financial data analysis
yfinance data

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Build a risk parity portfolio based on risk budgeting approach

Usage

riskparity [-rm RISK-MEASURE] [-rc RISK_CONTRIBUTION] [-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] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-v LONG_ALLOCATION] [--name NAME]

Parameters

Name Description Default Optional Choices
risk_measure Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns MV True MV, MAD, MSV, FLPM, SLPM, CVaR, EVaR, CDaR, EDaR, UCI
risk_contribution vector of risk contribution constraint None True None
target_return Constraint on minimum level of portfolio's return -1 True None
smoothing_factor_ewma Smoothing factor for ewma estimators 0.94 True None
nan_fill_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 Show selected categories ASSET_CLASS, COUNTRY, SECTOR, INDUSTRY True None
historic_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, 5y, 10y, ytd, max
start_period Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format True None
end_period End date to get yfinance data from. Must be in 'YYYY-MM-DD' format True None
log_returns If use logarithmic or arithmetic returns to calculate returns False True None
return_frequency 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 Max percentage of nan values accepted per asset to be considered in the optimization process 0.05 True None
threshold_value Value used to replace outliers that are higher to threshold in absolute value 0.3 True None
risk_free Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual 0.02924 True None
significance_level Significance level of CVaR, EVaR, CDaR and EDaR 0.05 True None
long_allocation Amount to allocate to portfolio 1 True None
name Save portfolio with personalized or default name RP_0 True None

Examples

2022 Apr 05, 14:45 (🦋) /portfolio/po/ $ riskparity

 [3 Years] Risk parity portfolio based on risk budgeting approach
using volatility as risk measure

     Weights
┏━━━━━━┳━━━━━━━━━┓
┃      ┃ Value   ┃
┡━━━━━━╇━━━━━━━━━┩
│ AAPL │ 13.42 % │
├──────┼─────────┤
│ AMZN │ 16.51 % │
├──────┼─────────┤
│ BA   │ 10.18 % │
├──────┼─────────┤
│ FB   │ 12.83 % │
├──────┼─────────┤
│ MSFT │ 14.36 % │
├──────┼─────────┤
│ T    │ 24.00 % │
├──────┼─────────┤
│ TSLA │  8.68 % │
└──────┴─────────┘

Annual (by 252) expected return: 28.99%
Annual (by √252) volatility: 26.60%
Sharpe ratio: 1.0829