| fAssets-package {fAssets} | R Documentation |
Analysing and Modelling Financial Assets
Description
The Rmetrics fAssets package is a collection of functions
to manage, to investigate and to analyze data sets of financial
assets from different points of view.
Details
| Package: | fAssets |
| Type: | Package |
| Date: | 2014 |
| License: | GPL Version 2 or later |
| Copyright: | (c) 1999-2014 Rmetrics Association |
| Repository: | R-FORGE |
| URL: | https://www.rmetrics.org |
1 Introduction
The package fAssets was written to explore and investigate
data sets of financial asssets
Included are functions to make the the asset selection process easier, to robustify return and covariances for modeling portfolios, to test financial returns for multivariate normality, and to measure in a simple way performance and risk of funds and portfolios.
Beside this many functions for graphs and plots, and for a more sophisticated explorative data analysis are provided. They range from simple time series plots to more elaborated statisitical chart tools: histogram, density, boxplots, and QQ plots; pairs,similaries, and covarinace ellipses plots; star plots, and risk/reward graphs.
2 Assets Selection
The assets selection chapter containts functions which arrange assets from a data set according to different measaures applying ideas from principal component analysis, from hierarchical clustering, or by a user defined statistical measure:
assetsArrange Rearranges the columns in a data set of assets pcaArrange Returns PCA correlation ordered column names hclustArrange Returns hierarchical clustered column names abcArrange Returns assets sorted by column names orderArrange Returns assets ordered by column names sampleArrange Returns a re-sampled set of assets statsArrange Returns statistically rearranged column names
In addition we have summarized and bundle of distance measure functions to determine the similarity or dissimilarity of individual assets from a set of multivariate financial return series.
assetsDist Computes the distances between assets corDist Returns correlation distance measure kendallDist Returns kendalls correlation distance measure spearmanDist Returns spearmans correlation distance measure mutinfoDist Returns mutual information distance measure euclideanDist Returns Euclidean distance measure maximumDist Returns maximum distance measure manhattanDist Returns Manhattan distance measure canberraDist Returns Canberra distance measure binaryDist Returns binary distance measure minkowskiDist Returns Minkowsky distance measure braycurtisDist Returns Bray Curtis distance measure mahalanobisDist Returns Mahalanobis distance measure jaccardDist Returns Jaccard distance mesaure sorensenDist Returns Sorensen distance measure
A last group of functions allows to select assets by concepts from hierarchical or k-means clustering:
assetsSelect Selects similar or dissimilar assets .hclustSelect Selects due to hierarchical clustering .kmeansSelect Selects due to k-means clustering
3 Assets Covariance Robustification
We provide several functions to compute robust measures for mean and/or covariance estimates which can be used for example in robustified Markowitz portfolio Optimization.
assetsMeanCov Estimates mean and variance for a set of assets .covMeanCov uses sample covariance estimation .mveMeanCov uses "cov.mve" from [MASS] .mcdMeanCov uses "cov.mcd" from [MASS] .studentMeanCov uses "cov.trob" from [MASS] .MCDMeanCov requires "covMcd" from [robustbase] .OGKMeanCov requires "covOGK" from [robustbase] .nnveMeanCov uses builtin from [covRobust] .shrinkMeanCov uses builtin from [corpcor] .baggedMeanCov uses builtin from [corpcor] .arwMeanCov uses builtin from [mvoutlier] .donostahMeanCov uses builtin from [robust] .bayesSteinMeanCov uses builtin from Alexios Ghalanos .ledoitWolfMeanCov uses builtin from [tawny] .rmtMeanCov uses builtin from [tawny]
An additional function allows to detect outliers from a PCA outlier analysis.
assetsOutliers Detects outliers in multivariate assets sets
4 Testing Assets for Normality
The multivariate Shapiro test and the E-Statistic Energy Test allow to test multivariate Normality of financial returns.
assetsTest Tests for multivariate Normal Assets mvshapiroTest Multivariate Shapiro Test mvenergyTest Multivariate E-Statistic (Energy) Test
5 Lower Partial Moments Measures
The computation of Lower partial moments is done by the following two functions:
assetsLPM Computes asymmetric lower partial moments assetsSLPM Computes symmetric lower partial moments
6 Assets Time Series and Density Plot Functions
Dozens of tailored plot functions are included in the fAssets
package. This makes it very easy to visualize properties and to
perform an explorative data analysis. Starting from simple time
series functions.
assetsReturnPlot Displays time series of individual assets assetsCumulatedPlot Displays time series of individual assets assetsSeriesPlot Displays time series of individual assets
we can also explore the distributional properties of the returns by histogram, density, boxplots, and QQ Plots:
assetsHistPlot Displays a histograms of a single asset assetsLogDensityPlot Displays a pdf plot on logarithmic scale assetsHistPairsPlot Displays a bivariate histogram plot assetsBoxPlot Displays a standard box plot assetsBoxPercentilePlot Displays a side-by-side box-percentile plot assetsQQNormPlot Displays normal qq-plots of individual assets
7 Assets Dependency and Structure Plot Functions
Corellation and similarities are another source of information about the dependence structure of individual financial returns. The functions which help us to detect those properties in data sets of financial assets include:
assetsPairsPlot Displays pairs of scatterplots of assets assetsCorgramPlot Displays pairwise correlations between assets assetsCorTestPlot Displays and tests pairwise correlations assetsCorImagePlot Displays an image plot of a correlations covEllipsesPlot Displays a covariance ellipses plot assetsDendrogramPlot Displays hierarchical clustering dendrogram assetsCorEigenPlot Displays ratio of the largest two eigenvalues
Beside correlations und dependencies also risk/reward graphs give additional insight into the structure of assets.
assetsRiskReturnPlot Displays risk-return diagram of assets assetsNIGShapeTrianglePlot Displays NIG Shape Triangle assetsTreePlot Displays a minimum spanning tree of assets
Statistic visualized by star plots is a very appealing tool for characterization and classification of assets by eye:
assetsStarsPlot Draws segment/star diagrams of asset sets assetsBasicStatsPlot Displays a segment plot of basic return stats assetsMomentsPlot Displays a segment plot of distribution moments assetsBoxStatsPlot Displays a segment plot of box plot statistics assetsNIGFitPlot Displays a segment plot NIG parameter estimates
About Rmetrics:
The fAssets Rmetrics package is written for educational
support in teaching "Computational Finance and Financial Engineering"
and licensed under the GPL.