Session

DescriptionIn the last decade, many researchers from finance and economics have adopted computationally intensive methods to generate new insights. However, researchers from these disciplines usually don't have a solid background in software engineering and computational methods. Therefore, they struggle to share code efficiently and have problems to take advantage of recent advances in hardware and software. Only recently, some initiatives have formed that try to overcome these problems. Some pioneers have written open source software packages that can serve as efficient starting points for new projects. Others have analyzed the particular challenges that arise when using modern hardware to achieve massive parallelism in economic or financial applications. The aim of this minisymposium is threefold: 1) Authors of open source packages for research in emerging disciplines present and promote their projects. 2) Computational experts elaborate on the benefits and challenges of using modern hardware to achieve massive parallelism in typical applications in finance and economics. 3) The minisymposium provides a platform for fruitful exchange between economists and computational experts in the hope to spark innovation and foster lasting collaborations.