The journal supports transparent and reproducible research practices through QuantNet at http://www.quantlet.com, which is a collection of QuantLets designed as an easily accessible code pool. QuantLets are codes written in Python, R, Matlab, or other programming languages. QuantNet benefits the research community by providing open access to all research and teaching codes and programs.
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