I. Introduction to forecasting If you missed the first part, I suggest you read it before going through this article. It gives a good introduction as well as an overview of traditional risk management and big data simulation. This article is instead more focused on big data forecasting. There are nowadays several new techniques or methods borrowed from other disciplines which … [Read more...] about Big Data and Risk Management in Financial Markets (Part II)
risks
Urgent Need on ‘Silent’ Cyber Risks
This is an unprecedented time for insurers. As margins associated with conventional lines of coverage continue to tighten, pressure is increasing to offer new forms of coverage to respond to the emerging cyber threats facing insureds in todays digital economy. At the same time, insurers are compelled to make certain that those risks are effectively excluded from coverage under … [Read more...] about Urgent Need on ‘Silent’ Cyber Risks
Big Data and Risk Management in Financial Markets (Part I)
We have seen how the interdisciplinary use of big data affected many sectors. Different examples are contagion spreading (Culotta, 2010); music albums success predictions (Dhar and Chang, 2009); or presidential election (Tumasjan et al., 2010). In financial markets, the sentiment analysis probably represents the major and most known implementation of machine learning techniques … [Read more...] about Big Data and Risk Management in Financial Markets (Part I)
Data Theft Is A Problem And Needs Quick Redressal
Data theft is a serious problem at a consumer as well as enterprise level. A study published by Pew Research in January 2014 showed that nearly 18 percent of American adults online have had confidential information including Social Security numbers, credit cards data and bank account information stolen. The numbers are a lot scarier among enterprise customers. Close to 70 … [Read more...] about Data Theft Is A Problem And Needs Quick Redressal
9 Ways How Commercial Analytics Create Business Value
I first became involved in commercial analytics in the eighties. First, through my involvement in customer segmentation and data visualisation, principally in banking but also in energy, manufacturing and the chemical industry. It also emerged later, in conjunction with my activities at the Sperry European Centre for AI, and was centred on pricing and yield management … [Read more...] about 9 Ways How Commercial Analytics Create Business Value
