Wavelets & Quantile on Quantile

Wavelet Analysis is a powerful tool for compressing, processing, and analyzing data. It can be applied to extract useful information from numerous types of data, including images and audio signals in Physics, Chemistry, and Biology, and high-frequency time series in Economics and Finance.

Unlike ordinary least squares that estimate the conditional mean of the dependent variable given a set of predictor variables, quantile regression, yields valuable insights in applications such as risk management, where answers to important questions lie in modeling the tails of the conditional distribution. 

This structured training provides an excellent opportunity for scholars, bankers, and industrial data practitioners to learn and enhance their knowledge about Wavelet and quantile methods using R programming language. 

Learning by "Researching" TM

August  / - Normal Group (7-10 participants)             10 seats left                         

February  / - Normal Group (7-10 participants)      2 seats left                           

Training Calendar

October Registration closed                                       



May / - Normal Group (7-10 participants)                  10 seats left                    

November  / - Normal Group (7-10 participants)       10 seats left                         



It was excellent training for me. I think Dr. Arhsian is the best in his field. He is a well-qualified person. I will recommend this institute for all my colleagues if they need it

Ferhat Citak 

Source - Home Page

Excellent Training

Excellent training, professional moderators, highly recommended


Source - Facebook Page


After finishing the first module, I decided to to do all modules because the first one has opened my mind, because here in Zambia there is no university or college where they offer as full program they way you offer it, it only comes as a course to those who are doing economics.


Source - Home Page

Live Training


Follow our channel and see other sessions on  

Video 1: Installing Wavelets package on R Studio

  (20 Minutes)

Wavelets & Quantile on Quantile

Intensive structured training to master wavelets and quantile methods for econometric modeling and data analysis using R

Duration: Approx. 8 Hours

Training Mode: Normal group (7-10 trainees), small group (2-5 trainees), and one-to-one

Platform: online (Zoom)

Extra benefits:

  • Certified certificate and 10% permanent discount on all events, workshops, and webinars.
  • Trainees become eligible to submit their papers at MSR working paper series (SSRN and RePEc indexed).

Training content is systematic and structured as follows:

1. Introduction to R-Programming Language and R-studio Interface

2. The basic concept of Wavelet and its applications

3. Decomposition and plotting of the series using the MODWT method.

4. Wavelet correlation, wavelet covariance, and cross-wavelet correlation

5. Continuous wavelet transform and cross wavelet transform

6. Wavelet coherence  and partial wavelet coherence 

7. Introduction to quantile on quantile and quantile autoregressive distributed lags error correction model to times series

8- Granger causality in Quantile on Quantile regression

9- Non-parametric quantile methods  New

Stay Updated

Double-click here to add your own text.

We use cookies to improve your experience on our website. By continuing to use this site, you accept our use of cookies. To find out more, read our updated privacy and cookie policies

Learn more
Accept and continue