IDEAS home Printed from https://ideas.repec.org/f/pfo360.html
   My authors  Follow this author

Roberto Louis Forestal

Personal Details

First Name:Roberto Louis
Middle Name:
Last Name:Forestal
Suffix:
RePEc Short-ID:pfo360
[This author has chosen not to make the email address public]
https://robertolouisforestal.com/
No. 200, Zhongbei Road,

Affiliation

Department of International Business
Chung Yuan Christian University

Chung-Li, Taiwan
http://www.ib.cycu.edu.tw/
RePEc:edi:dbcyctw (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Roberto Louis Forestal & Shih-Ming Pi, 2021. "Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-3.
  2. Roberto Louis Forestal & Shih Ming Pi, 2021. "Dynamic Equicorrelation Analysis of Financial Contagion: Evidence from Latin America Markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-2.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Roberto Louis Forestal should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.