Learn R Programming

⚠️There's a newer version (0.0-17) of this package.Take me there.

qrmtools (version 0.0-14)

Tools for Quantitative Risk Management

Description

Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.

Copy Link

Version

Install

install.packages('qrmtools')

Monthly Downloads

578

Version

0.0-14

License

GPL (>= 3) | file LICENCE

Maintainer

Marius Hofert

Last Published

April 16th, 2021

Functions in qrmtools (0.0-14)

GPDtail

GPD-Based Tail Distribution (POT method)
Black_Scholes

Black--Scholes formula and the Greeks
NA_plot

Graphical Tool for Visualizing NAs in a Data Set
VaR_ES_bounds_analytical

``Analytical'' Best and Worst Value-at-Risk for Given Marginals
ARMA_GARCH

Fitting ARMA-GARCH Processes
GPD

(Generalized) Pareto Distribution
GEV_shape_plot

Fitted GEV Shape as a Function of the Threshold
GEV

Generalized Extreme Value Distribution
Brownian

Brownian and Related Motions
GPD_shape_plot

Fitted GPD Shape as a Function of the Threshold
get_data

Tools for Getting and Working with Data
hierarchical_matrix

Construction of Hierarchical Matrices
fit_GPD

Parameter Estimators of the Generalized Pareto Distribution
fit_GEV

Parameter Estimators of the Generalized Extreme Value Distribution
matrix_density_plota

Density Plot of the Values from a Lower Triangular Matrix
matrix_plot

Graphical Tool for Visualizing Matrices
tail_plot

Plot of an Empirical Surival Function with Smith Estimator
tests

Formal Tests of Multivariate Normality
fit_GARCH_11

Fast(er) and Numerically More Robust Fitting of GARCH(1,1) Processes
catch

Catching Results, Warnings and Errors Simultaneously
stepfun_plot

Plot of Step Functions and Empirical Distribution Functions
pp_qq_plot

P-P and Q-Q Plots
mean_excess

Mean Excess
returns

Computing Returns and Inverse Transformation
risk_measures

Risk Measures
alloc

Computing allocations
VaR_ES_bounds_rearrange

Worst and Best Value-at-Risk and Best Expected Shortfall for Given Marginals via Rearrangements