The Goal of the Financial Infrastructure Stability and Cyber-security (FISC) Center is to identify systemic threats to financial infrastructure stability and market resiliency by applying big data analytics and advanced statistical techniques to financial data.

The center has the capacity to process large datasets, bring additional datasets, read distributed ledgers generated by blockchain technology (FINTECH) and extend the analysis to cyber-security applications by engaging full time faculty and PhD/graduate students in Finance, Statistics, and Computer Sciences. FISC's research projects include financial impact of regulations, market design, technology and its risks, social media, big data and analytics, Bayesian and non-Bayesian statistical modeling, illiquidity and loss-spirals, and institutional ownership and trades. FISC faculty are also interested in Cybersecurity research on topics currently being funded by government agencies and relevant to industry include Anonymous Networks & Currencies (Cryptocurrencies), Cyber Risk Economics (CyRiE), Cyber Security Forensics, Cybersecurity Competitions, Enterprise Level Security Metrics and Usability, and Insider Threats.

The Cook Analytics & Trading Lab hosts the security microstructure data sets, servers, and 12 Bloomberg terminals with real-time and historic information on a variety of markets including equities, fixed income, government securities, commodities and foreign currency markets. The size of the microstructure datasets, NYSE's Trade and Quote (TAQ) and Nasdaq's order message data (ITCH) together represent more than 1 TB of data per day. Datastream International provides international coverage. Additionally WRDS access is available for CRSP and Compustat. The Lab has the data for several years going back from the time before the 2008 Financial Crisis all the way to the current year.