Christophe Amat

École Polytechnique, Paris

1 rue Descartes

Paris, 75005

France

Learn more about SSRN Profiles

SCHOLARLY PAPERS

1

DOWNLOADS

858

TOTAL CITATIONS

9

Feedback

Scholarly Papers (1)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

Fundamentals and Exchange Rate Forecastability with Simple Machine Learning Methods

HEC Paris Research Paper No. ECO/SCD-2014-1049

Number of pages: 69 Posted: 12 Jun 2014 Last Revised: 29 May 2018

Christophe Amat, Tomasz Kamil Michalski and Gilles Stoltz

École Polytechnique, Paris, HEC Paris - Economics & Decision Sciences and HEC Paris - Economics & Decision Sciences

Downloads 858 (59,798)

Citation 9

Abstract:

Feedback

All content on this site: Copyright © 2024 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

We use cookies to help provide and enhance our service and tailor content.

To learn more, visit .