Insights | Oct 31, 2017
The automatic teller machine was the pinnacle of innovation in banking and financial services back in the 70s and 80s. When you consider how far we’ve come, that seems like a distant memory. But even a decade ago, it was hard for people to imagine that we could check balances, pay bills, transfer money and even deposit checks with tiny phones that everyone carries everywhere. Technology has certainly propelled the financial services industry a long way in a short period of time – but that’s only half the story.
Insights | Sep 13, 2017
Greetings from London! It’s been a few short months since we introduced Elsen nPlatform and Thomson Reuters launched the first commercially available application built on it – Thomson Reuters QA Point Powered by Elsen. We’re hitting another big milestone this week with our continued support of Thomson Reuters’ global rollout of QA Point, and the Elsen team is across the pond for the European launch.
Insights | Aug 14, 2017
Investors keep pouring money into quant funds, which hit a record $500 billion in assets last year, and this shift shows no signs of slowing down. Over the past seven years, quant funds attracted 29 percent of total inflows despite only accounting for 17 percent of hedge fund assets under management.
Insights | Jul 25, 2017
Why do financial institutions lag when it comes to tech?
When entering the field of financial services, recent college grads quickly learn that the technology available to them is antiquated, to say the least. In fact, the largest financial institutions in the world still run on ancient IBM mainf...
Insights | Jul 21, 2017
Last night, leaders of the Massachusetts innovation community gathered for a reception to announce the finalists for the 2017 MassTLC Technology Leadership Awards. We’re proud to share that Elsen’s nPlatform was named a finalist in the “Innovative Tech of the Year: Financial” category.
Insights | Jul 20, 2017
Even before “big data” took its place at the top of the long list of business buzzwords, hedge funds and other investment firms were in constant pursuit of ways to extract useful insights from the data available to them. While tools built around artificial intelligence and machine learning technology have come a long way in the last few years to make it easier to separate the signal from the noise, hedge funds still struggle to use big data in a way that consistently improves their trading strategies.
Insights | Jun 21, 2017
In a recent article titled “The Quants Run Wall Street Now,” Wall Street Journal reporters Gregory Zuckerman and Bradley Hope outlined the ways in which quantitative strategies - and quants themselves - have become an integral part of hedge funds and other investment firms.
Insights | May 19, 2017
Elsen’s on its way to officially being a global company – and it happened pretty quickly. This is a feat that truly showcases the impact that the Elsen nPlatform can have on financial institutions, and the benefits that they can gain from using it to build their own applications.
Insights | Apr 19, 2017
Artificial Intelligence, or AI, is one of the most talked about concepts in the tech world today. From retail, to energy, to finance and beyond, AI is finding application in just about every industry. Recently, hedge funds and asset managers have started seriously investigating the AI craze and experimenting with the technology. The early results have been very interesting to see.
Insights | Apr 12, 2017
For decades, asset managers and their analysts/PMs tended to sort themselves into one of two camps - fundamental and quantitative. Over the last few years, however, a new type of analytical approach to evaluating securities and other financial assets has gained traction. It’s known as the “quantamental” approach, and it’s already redefining how hedge funds and other asset managers manage their portfolios.
Insights | Mar 31, 2017
The field of computational finance is defined by speed. With vast amount of calculations to run in order to perform pre-trade risk analytics - a number that will only continue to grow as more data becomes available - it’s critical for asset managers to be able to perform these calculations as quickly as possible.