Date: Fri, 11 Nov 2016 16:00:00 +0000
<p>Financial analysis techniques for studying numeric, well structured data are very mature. While using unstructured data in finance is not necessarily a new idea, the area is still very greenfield. On this episode,<a href="http://deliarusu.github.io/">Delia Rusu</a> shares her thoughts on the potential of unstructured data and discusses her work analyzing Wikipedia to help inform financial decisions.</p> <p>Delia's talk at PyData Berlin can be watched on Youtube (<a href="https://www.youtube.com/watch?v=B9sIS2-_sv4">Estimating stock price correlations using Wikipedia</a>). The slides can be found <a href="https://github.com/deliarusu/wikipedia-correlation">here</a> and all related code is available on <a href="https://speakerdeck.com/deliarusu/estimating-stock-price-correlations-using-wikipedia"> github</a>.</p>
