Fully Flexible Probabilities for Stress Testing and Portfolio Construction
Flexible Probabilities using Partial Information
Double-Decay Covariance Matrix
Summary Statistics for Empirical Distributions
Effective Number of Scenarios
Stack Different Views
Flexible Probabilities Driven Bootstrap
Internal function used to check the validity of inputs.
Full Information by Market Conditioning
Numerical Entropy Minimization
Full Information by Kernel-Damping
Least Information Kernel-Smoothing
Relative Entropy
Plot Scenarios
Views on Copulas
Views on Correlation Structure
Views on Volatility
Inspection of a ffp
object with ggplot2
Stack Flexible Probabilities
Full Information by Exponential Decay
Internal vctrs methods
Manipulate the ffp
Class
Moments with Flexible Probabilities
Double-Decay Covariance Matrix by Entropy-Pooling
Half-Life Calculation
Partial Information Kernel-Damping
Views on Covariance Matrix
Views on Joint Distribution
Views on Marginal Distribution
Views on Expected Returns
Views on Relative Performance
Implements numerical entropy-pooling for portfolio construction and scenario analysis as described in Meucci, Attilio (2008) and Meucci, Attilio (2010) <doi:10.2139/ssrn.1696802>.