Overbond has partnered with IPC, a leading provider of secure, compliant communications and multi-cloud connectivity solutions for the global financial markets, to integrate IPC’s point-of-trade voice transaction data into Overbond’s AI algorithms powering automated fixed-income trading. Read More
Data Policies, Is “Keep It Simple” Better Business?
Over the last couple of decades technology has influenced data policies. The internet introduced a distribution network and an e-commerce capability for broker dealers and market data vendors; delayed data and redistribution policies were tweaked and expanded. Electronic / algorithmic trading brought us the advent of Non-Display Usage policies. The policies gradually became more complex and prescriptive: to account for unforeseen usage at the outset, and to protect against “bad actors” who identified policy loopholes. Over the last few years we’ve seen a number of information providers “unwind” restrictions and simplify data policy language; why?
- Did the information collection and administration associated with more restrictive policies work – effectively?
- Was the barrier to entry for complex policies too high; did it constrain / delay subscriberships?
- Was it financially “worth it”? Did the restrictive tariffs cover the additional administration costs?
- How do more complex policies affect the information provider / subscriber relationship?
waterstechnology: 9/11: the promise we’re trying to honor
As a company, Risk Waters was 14 years old on the day it lost nearly a tenth of its workforce in the World Trade Center attacks. Twenty years on from the devastation wrought that day, they set out to honor colleagues by building an enduring memorial, sharing memories from the loved ones of staff who lost their lives, as well as their colleagues and those involved in the company’s response. Read more.
waterstechnology: 9/11: the colleagues we lost, and the years that followed
Of nearly 3,000 people who were killed in the terrorist attacks, 16 were members of Risk Waters, and another 71 were delegates who had arrived to catch the morning presentations or settle in before participating in panel discussions scheduled for later in the day. Read more.
Measuring Social Impact: Defining the “S” in ESG
As investor interest in ESG (environmental, social, governance) continues to climb, it’s important to consider the quality of ESG data and how it is created. In particular, the social element of the initialism seems particularly hard to define and quantify as it spans employee diversity, human rights, animal testing, and consumer protections. How are data providers, aggregators, and ratings agencies meeting this challenge?
This session will discuss:
- A definition of ESG, especially social factors
- What puts a company “on the side of the angels” as far as the “S” is concerned?
- The recent history of demand ESG information and how data providers have responded
- The use of AI to assess companies against ESG parameters – how much weight is given to the “S” factor?
- How this sector/practice is expected to grow and evolve as the less easily measured “S” is better abled to be captured/measured?
