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

Systemic Risk Score: A Suggestion

SSRN (2013)

Perignon Christophe and Hurlin Christophe

Self-Organized Criticality in Single-Neuron Excitability

arXiv (2013)

Gal Asaf and Marom Shimon

Tests of Conditional Predictive Ability

Econometrica (2006)

White Halbert and Giacomini Raffaella

Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-Form Approximation Approach

Econometrica (2002)

Ait-Sahalia Yacine

How to Forecast Long-Run Volatility: Regime Switching and the Estimation of Multifractal Processes

Journal of Financial Econometrics (2004)

Calvet Laurent E. and Fisher Adlai J.

Monotonicity in Asset Returns: New Tests with Applications to the Term Structure, the CAPM, and Portfolio Sorts

Journal of Financial Economics (2010)

Patton Andrew J. and Timmermann Allan

The Value of Formalism: Re-examining External Costs and Decision Costs with Multiple Groups

San Jose State University (2013)

Dougherty Keith L., Edward Julian, and Ragan Robi

LSD: A Fast Line Segment Detector with a False Detection Control

IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

Grompone von Gioi Rafael, Jakubowicz Jérémie, Morel Jean-Michel, and Randall Gregory

Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman

Image Processing On Line (2012)

Getreuer Pascal