Run My Code

RunMyCode enables scientists

to openly share the code and data that underlie their research publications

This service is based on the innovative concept of a companion
website associated with a scientific publication.

Users

Users can access the code and data used by researchers.
Researchers

Researchers can share the code and data used in a scientific paper. This increases transparency and reproducibility.
Journals

Journals' editors can invite the authors who publish in their journals to share their code and data on RunMyCode.

Companion websites

A Simple Test for Zero Multiple CorrelationCoefficient in High-Dimensional Normal Data UsingRandom Projection

Working Paper (2019)

Najarzadeh Dariush

Catch me if you can. Can human observers identify insiders in asset markets?

Journal of Economic Psychology (2018)

Palan Stefan and Stöckl Thomas

Specification tests in semiparametric transformation models - a multiplier bootstrap approach

Working Paper (2019)

Kloodt Nick and Neumeyer Natalie

Aggregation mechanisms for crowd predictions

Experimental Economics (2019)

Huber Jürgen, Palan Stefan, and Senninger Larissa

Does Investor Risk Perception Drive Asset Prices in Markets? Experimental Evidence.

Journal of Banking and Finance (2019)

Huber Jürgen, Zeisberger Stefan, and Palan Stefan

Capital, risk and profitability of WAEMU banks: Does bank ownership matter?

SOAS Centre for Global Finance (2019)

Kanga, Desire, Murinde Victor, and Soumare Issouf

Measuring the covariance risk of consumer debt portfolios

Journal of Economic Dynamics and Control (2019)

Madeira Carlos

The impact of interest rate ceilings on households' credit access: Evidence from a 2013 Chilean legislation

Journal of Banking and Finance (2019)

Madeira Carlos

On the Monetization of Mobile Apps

International Journal of Research in Marketing (2020)

Appel Gil, Libai Barak, Muller Eitan, and Shachar Ron