R: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

# Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

## Documentation for package ‘PortfolioAnalytics’ version 2.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package README

## Help Pages

A B C D E F G H I L M N O P Q R S T U V W

PortfolioAnalytics-package | Numeric methods for optimization of portfolios

## -- A --

ac.ranking | Asset Ranking
add.constraint | General interface for adding and/or updating optimization constraints.
add.objective | General interface for adding optimization objectives, including risk, return, and risk budget
add.objective_v1 | General interface for adding optimization objectives, including risk, return, and risk budget
add.objective_v2 | General interface for adding optimization objectives, including risk, return, and risk budget
add.sub.portfolio | Add sub-portfolio
applyFUN | Apply a risk or return function to a set of weights

## -- B --

backtest.plot | generate plots of the cumulative returns and drawdown for back-testing
barplotGroupWeights | barplot of group weights by group or category
black.litterman | Black Litterman Estimates
BlackLittermanFormula | Computes the Black-Litterman formula for the moments of the posterior normal.
box_constraint | constructor for box_constraint.

## -- C --

CCCgarch.MM | compute comoments for use by lower level optimization functions when the conditional covariance matrix is a CCC GARCH model
center | Center
centroid.buckets | Buckets Centroid
centroid.complete.mc | Complete Cases Centroid
centroid.sectors | Multiple Sectors Centroid
centroid.sign | Positive and Negative View Centroid
chart.Concentration | Classic risk reward scatter and concentration
chart.EF.Weights | Chart weights along an efficient frontier
chart.EF.Weights.efficient.frontier | Chart weights along an efficient frontier
chart.EF.Weights.optimize.portfolio | Chart weights along an efficient frontier
chart.EfficientFrontier | Chart the efficient frontier and risk-return scatter
chart.EfficientFrontier.efficient.frontier | Chart the efficient frontier and risk-return scatter
chart.EfficientFrontier.optimize.portfolio | Chart the efficient frontier and risk-return scatter
chart.EfficientFrontier.optimize.portfolio.CVXR | Chart the efficient frontier and risk-return scatter
chart.EfficientFrontier.optimize.portfolio.ROI | Chart the efficient frontier and risk-return scatter
chart.EfficientFrontierCompare | Overlay the efficient frontiers of different minRisk portfolio objects on a single plot.
chart.EfficientFrontierOverlay | Plot multiple efficient frontiers
chart.GroupWeights | Chart weights by group or category
chart.RiskBudget | Generic method to chart risk contribution
chart.RiskBudget.opt.list | Generic method to chart risk contribution
chart.RiskBudget.optimize.portfolio | Generic method to chart risk contribution
chart.RiskBudget.optimize.portfolio.rebalancing | Generic method to chart risk contribution
chart.RiskReward | classic risk reward scatter
chart.RiskReward.opt.list | classic risk reward scatter
chart.RiskReward.optimize.portfolio.DEoptim | classic risk reward scatter
chart.RiskReward.optimize.portfolio.GenSA | classic risk reward scatter
chart.RiskReward.optimize.portfolio.pso | classic risk reward scatter
chart.RiskReward.optimize.portfolio.random | classic risk reward scatter
chart.RiskReward.optimize.portfolio.ROI | classic risk reward scatter
chart.Weights | boxplot of the weights of the optimal portfolios
chart.Weights.opt.list | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.DEoptim | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.GenSA | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.pso | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.random | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.rebalancing | boxplot of the weights of the optimal portfolios
chart.Weights.optimize.portfolio.ROI | boxplot of the weights of the optimal portfolios
check_constraints | check if a set of weights satisfies the constraints
cokurtosisMF | Cokurtosis Matrix Estimate
cokurtosisSF | Cokurtosis Matrix Estimate
combine.optimizations | Combine objects created by optimize.portfolio
combine.portfolios | Combine a list of portfolio objects
constrained_objective | calculate a numeric return value for a portfolio based on a set of constraints and objectives
constrained_objective_v1 | calculate a numeric return value for a portfolio based on a set of constraints and objectives
constrained_objective_v2 | calculate a numeric return value for a portfolio based on a set of constraints and objectives
constraint | constructors for class constraint
constraint_ROI | constructor for class constraint_ROI
constraint_v1 | constructors for class constraint
constraint_v2 | constructors for class constraint
coskewnessMF | Coskewness Matrix Estimate
coskewnessSF | Coskewness Matrix Estimate
covarianceMF | Covariance Matrix Estimate
covarianceSF | Covariance Matrix Estimate
create.EfficientFrontier | create an efficient frontier
custom.covRob.Mcd | Compute returns mean vector and covariance matrix with custom.covRob.Mcd
custom.covRob.MM | Compute returns mean vector and covariance matrix with custom.covRob.MM
custom.covRob.Rocke | Compute returns mean vector and covariance matrix with custom.covRob.Rocke
custom.covRob.TSGS | Compute returns mean vector and covariance matrix with custom.covRob.TSGS

## -- D --

diversification | Function to compute diversification as a constraint
diversification_constraint | constructor for diversification_constraint

## -- E --

EntropyProg | Entropy pooling program for blending views on scenarios with a prior scenario-probability distribution
equal.weight | Create an equal weight portfolio
etl_milp_opt | Minimum ETL MILP Optimization
etl_opt | Minimum ETL LP Optimization
extractCokurtosis | Cokurtosis Estimate
extractCoskewness | Coskewness Estimate
extractCovariance | Covariance Estimate
extractEfficientFrontier | Extract the efficient frontier data points
extractGroups | Extract the group and/or category weights
extractObjectiveMeasures | Extract the objective measures
extractStats | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.DEoptim | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.GenSA | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.parallel | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.pso | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.random | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractStats.optimize.portfolio.ROI | extract some stats and weights from a portfolio run via 'optimize.portfolio'
extractWeights | Extract weights from a portfolio run via 'optimize.portfolio' or 'optimize.portfolio.rebalancing'
extract_risk | extract the risk value when knowing the weights

## -- F --

factor_exposure_constraint | Constructor for factor exposure constraint
fn_map | mapping function to transform or penalize weights that violate constraints

## -- G --

generatesequence | create a sequence of possible weights for random or brute force portfolios
get_constraints | Helper function to get the enabled constraints out of the portfolio object When the v1_constraint object is instantiated via constraint, the arguments min_sum, max_sum, min, and max are either specified by the user or default values are assigned. These are required by other functions such as 'optimize.portfolio' and 'constrained_objective' . This function will check that these variables are in the portfolio object in the constraints list. We will default to 'min_sum=1' and 'max_sum=1' if leverage constraints are not specified. We will default to 'min=-Inf' and 'max=Inf' if box constraints are not specified. This function is used at the beginning of optimize.portfolio and other functions to extract the constraints from the portfolio object. We Use the same naming as the v1_constraint object.
gmv_opt | GMV/QU QP Optimization
gmv_opt_leverage | GMV/QU QP Optimization with Turnover Constraint
gmv_opt_ptc | GMV/QU QP Optimization with Proportional Transaction Cost Constraint
gmv_opt_toc | GMV/QU QP Optimization with Turnover Constraint
group_constraint | constructor for group_constraint
group_fail | Test if group constraints have been violated

## -- H --

HHI | Concentration of weights

## -- I --

indexes | Six Major Economic Indexes
insert_constraints | Insert a list of constraints into the constraints slot of a portfolio object
insert_objectives | Insert a list of objectives into the objectives slot of a portfolio object
inverse.volatility.weight | Create an inverse volatility weighted portfolio
is.constraint | check function for constraints
is.objective | check class of an objective object
is.portfolio | check function for portfolio

## -- L --

leverage_exposure_constraint | constructor for leverage_exposure_constraint

## -- M --

maxret_milp_opt | Maximum Return MILP Optimization
maxret_opt | Maximum Return LP Optimization
meancsm.efficient.frontier | Generate the efficient frontier for a mean-CSM portfolio
meaneqs.efficient.frontier | Generate the efficient frontier for a mean-EQS portfolio
meanetl.efficient.frontier | Generate the efficient frontier for a mean-etl portfolio
meanrisk.efficient.frontier | Generate multiple efficient frontiers for the same portfolio
meanvar.efficient.frontier | Generate the efficient frontier for a mean-variance portfolio
meucci.moments | Compute moments
meucci.ranking | Asset Ranking
minmax_objective | constructor for class tmp_minmax_objective
mult.portfolio.spec | Multple Layer Portfolio Specification
MycovRobMcd | Control settings for custom.covRob.Mcd
MycovRobTSGS | Control settings for custom.covRob.TSGS

## -- N --

name.replace | utility function to replace awkward named from unlist

## -- O --

objective | constructor for class 'objective'
opt.outputMvo | Optimal Portfolio Weights and Performance Values
optimize.portfolio | Constrained optimization of portfolios
optimize.portfolio.parallel | Execute multiple optimize.portfolio calls, presumably in parallel
optimize.portfolio.rebalancing | Portfolio Optimization with Rebalancing Periods
optimize.portfolio.rebalancing_v1 | Portfolio Optimization with Rebalancing Periods
optimize.portfolio_v1 | Constrained optimization of portfolios
optimize.portfolio_v2 | Constrained optimization of portfolios

## -- P --

pHist | Generates histogram
plot.optimize.portfolio | plot method for objects of class 'optimize.portfolio'
plot.optimize.portfolio.DEoptim | plot method for objects of class 'optimize.portfolio'
plot.optimize.portfolio.GenSA | plot method for objects of class 'optimize.portfolio'
plot.optimize.portfolio.pso | plot method for objects of class 'optimize.portfolio'
plot.optimize.portfolio.random | plot method for objects of class 'optimize.portfolio'
plot.optimize.portfolio.ROI | plot method for objects of class 'optimize.portfolio'
plotFrontiers | Generate efficient frontiers plot by providing frontiers.
portfolio | constructor for class portfolio
portfolio.moments.bl | Portfolio Moments
portfolio.moments.boudt | Portfolio Moments
portfolio.spec | constructor for class portfolio
PortfolioAnalytics | Numeric methods for optimization of portfolios
portfolio_risk_objective | constructor for class portfolio_risk_objective
position_limit_constraint | constructor for filter_constraint
pos_limit_fail | function to check for violation of position limits constraints
print.constraint | print method for constraint objects
print.efficient.frontier | Print an efficient frontier object
print.optimize.portfolio.CVXR | Printing output of optimize.portfolio
print.optimize.portfolio.DEoptim | Printing output of optimize.portfolio
print.optimize.portfolio.GenSA | Printing output of optimize.portfolio
print.optimize.portfolio.pso | Printing output of optimize.portfolio
print.optimize.portfolio.random | Printing output of optimize.portfolio
print.optimize.portfolio.rebalancing | Printing output of optimize.portfolio.rebalancing
print.optimize.portfolio.ROI | Printing output of optimize.portfolio
print.portfolio | Printing Portfolio Specification Objects
print.summary.optimize.portfolio | Printing summary output of optimize.portfolio
print.summary.optimize.portfolio.rebalancing | Printing summary output of optimize.portfolio.rebalancing

## -- Q --

quadratic_utility_objective | constructor for quadratic utility objective

## -- R --

randomize_portfolio | version 2 generate random permutations of a portfolio seed meeting your constraints on the weights of each asset
randomize_portfolio_v1 | Random portfolio sample method
randomize_portfolio_v2 | version 2 generate random permutations of a portfolio seed meeting your constraints on the weights of each asset
random_portfolios | version 2 generate an arbitary number of constrained random portfolios
random_portfolios_v1 | generate an arbitary number of constrained random portfolios
random_portfolios_v2 | version 2 generate an arbitary number of constrained random portfolios
random_walk_portfolios | deprecated random portfolios wrapper until we write a random trades function
regime.portfolios | Regime Portfolios
return_constraint | constructor for return_constraint
return_objective | constructor for class return_objective
risk_budget_objective | constructor for class risk_budget_objective
rp_grid | Generate random portfolios based on grid search method
rp_sample | Generate random portfolios using the sample method
rp_simplex | Generate random portfolios using the simplex method
rp_transform | Transform a weights vector to satisfy constraints

## -- S --

scatterFUN | Apply a risk or return function to asset returns
set.portfolio.moments | Portfolio Moments
set.portfolio.moments_v1 | set portfolio moments for use by lower level optimization functions
set.portfolio.moments_v2 | Portfolio Moments
statistical.factor.model | Statistical Factor Model
summary.efficient.frontier | Summarize an efficient frontier object
summary.optimize.portfolio | Summarizing output of optimize.portfolio
summary.optimize.portfolio.rebalancing | summary method for optimize.portfolio.rebalancing
summary.portfolio | Summarize Portfolio Specification Objects

## -- T --

trailingFUN | apply a function over a configurable trailing period
transaction_cost_constraint | constructor for transaction_cost_constraint
turnover | Calculates turnover given two vectors of weights. This is used as an objective function and is called when the user adds an objective of type turnover with 'add.objective'
turnover_constraint | constructor for turnover_constraint
turnover_objective | constructor for class turnover_objective

## -- U --

update.constraint | function for updating constrints, not well tested, may be broken
update_constraint_v1tov2 | Helper function to update v1_constraint objects to v2 specification in the portfolio object

## -- V --

var.portfolio | Calculate portfolio variance

## -- W --

weight_concentration_objective | Constructor for weight concentration objective
weight_sum_constraint | constructor for weight_sum_constraint