10 November 2017
The data dilemma: a risk or an asset?
Business, academic and regulator perspectives on the past, present and future of data in the finance sector.
Data about the finance sector is growing exponentially and storing it is becoming easier. Businesses are excited about the commercial possibilities of 'Big Data'; academics are relishing the research potential of deep data archives and regulators are hoping for a fuller view of systemic risk and stability. Will it all turn out well though? The current reality of massive data stores is often no more than massive cost and complexity. The workshop will explore how we got here with data and where we go next. Ultimately, can a meeting of business, academics and regulators resolve the data dilemma and find a way to turn a risk into an asset?"
The committee invites proposals focusing on the following questions:
- Does more data make us better forecasters? Are we any better than Keynes at predicting systemic risk now that we have all this information?
- Do economic policy makers make good use of historical data or is it too hard to do?
- Forecasters of all descriptions (especially economic ones) are facing a popular backlash. They missed the financial crisis and got the short-term impact of Brexit wrong (possibly). Wasn’t more data meant to mean better predictions?
- How can financial research catch up with the need to change its methods in order to be able to make the best possible use of ‚big data‘ (data mining, etc.)?
- Which financial and/or academic institutions are using innovative and creative approaches towards research?
- Which are the tools needed to do successful historical research in the future?
- Which are the risks related to financial data? Which are the associated legal requirements for privacy, confidentiality, security and consumer protection?
Further infomation here »