In my previous post, I introduced the ELAINE Community Tool that can be used to discover variables from textual communications.
Statistical predictors work well for charting the course of economic activities based on macro factors that elicit supply and demand if the market environment is within a close proximity of a pattern that resembles previous economic cycles. Unfortunately, in today’s geo-political environment, many of these new variables are injecting forces that…Continue
Gone are the days when insurance and nbfc sector was relying completely on manual processes. Today with the emergence of AI and data-driven business decision making coupled with the application of IoT technologies there is a radical transformation of business processes in insurance and other financial services, like straight through processing becoming mainstream.
Let us look at different use cases:
1. Insurance Models:
Consider the recent proliferation…Continue
Added by Mahesh Kumar CV on May 19, 2019 at 7:11am — No Comments
Deep Learning is picking momentum in Quantitative Finance, outside the obvious application to the prediction of asset prices (where to my knowledge it is not particularly effective) and spreading into the more serious application area of option pricing and risk management.
These two recent papers clearly demonstrate the benefits of DL as a pricing technology alternative to the classical FDM and Monte-Carlo in certain contexts:…Continue
Added by Antoine Savine on January 11, 2019 at 5:30am — No Comments