Man pages for ffp
Fully Flexible Probabilities for Stress Testing and Portfolio Construction

autoplotInspection of a 'ffp' object with ggplot2
bind_probsStack Flexible Probabilities
bind_viewsStack Different Views
bootstrap_scenariosFlexible Probabilities Driven Bootstrap
check_inputInternal function used to check the validity of inputs.
crispFull Information by Market Conditioning
dbDataset used in Historical Scenarios with Fully Flexible...
db_tblDataset used in Historical Scenarios with Fully Flexible...
double_decayFlexible Probabilities using Partial Information
DoubleDecayDouble-Decay Covariance Matrix
empirical_statsSummary Statistics for Empirical Distributions
ensEffective Number of Scenarios
entropy_poolingNumerical Entropy Minimization
exp_decayFull Information by Exponential Decay
ffpManipulate the 'ffp' Class
ffp_momentsMoments with Flexible Probabilities
ffp-vctrsInternal vctrs methods
fit_to_momentsDouble-Decay Covariance Matrix by Entropy-Pooling
half_lifeHalf-Life Calculation
kernel_entropyPartial Information Kernel-Damping
kernel_normalFull Information by Kernel-Damping
least_info_kernelLeast Information Kernel-Smoothing
relative_entropyRelative Entropy
scenario_densityPlot Scenarios
view_on_copulaViews on Copulas
view_on_correlationViews on Correlation Structure
view_on_covarianceViews on Covariance Matrix
view_on_joint_distributionViews on Joint Distribution
view_on_marginal_distributionViews on Marginal Distribution
view_on_meanViews on Expected Returns
view_on_rankViews on Relative Performance
view_on_volatilityViews on Volatility
ffp documentation built on Sept. 29, 2022, 5:10 p.m.