A burdensome choice
Building a project from scratch and choosing its technologies is a rare opportunity but brings with it a great responsibility. The choice will affect the company and its customers for many years to come. It can either allow you to evolve quickly with your environment, or shackle you to constraints, workarounds and outdated technology. Without careful consideration, a choice that appears to be good today might emerge as being a bad choice tomorrow and years of investment can be thrown away.
In the aftermath of the 2011 Eurozone crisis, the Basel committee introduced stricter rules for the management of liquidity ratios.
- BCBS 238 on Liquidity Coverage Ratio (LCR) ensures that banks have enough liquidity buffer to survive market stress.
- BCBS 248 on Intraday liquidity tightens the control and management of cash flow and liquidity throughout the day.
- BCBS 324 on Net Stable Funding Ratio (NSFR) controls how banks fund their long-term activities with short-term sources of cash.
Our very own Director of R&D Antoine Chambille is heading to East Asia in July and will be at the Singapore Spring User Group on July 20th at 7pm, hosted in the Paypal office in Suntec. Read more
The beginning of ActivePivot Live
Seven years ago, Quartet FS made a decision to build a front-end for ActivePivot Server, its in-memory analytical platform. Prior to this, it was only possible to connect to, and interact with, ActivePivot using Excel and employing the MDX query language. We needed a lightweight client, a user interface with which we could connect to ActivePivot from any workstation without prior installation. Read more
With changes as complex and as far-reaching as those introduced by the FRTB, it helps to classify the challenges they pose and deconstruct them into concrete, feasible tasks leading up to December 2019 and consists of either new IT developments, changes in work methods or, more commonly, a combination of both.
A few weeks ago, Quartet FS co-hosted a FRTB round-table event with PwC in London as we reported in a previous post. A large number of decision-makers from international banks were present to take part in a discussion that started with the simple opening gambit: “How ready are you to implement FRTB?”
One element that is often neglected by brick & mortar retailers, for lack of sufficient analytical capabilities to take it into account, is that the competitive environment varies greatly from one store location to another. While any pricing strategy typically integrates the positioning of competitors at the national level to set prices, for a store the truly relevant level to define and implement the most efficient pricing strategy is the catchment area where neighbouring stores actually compete for the same customers. It is only by drilling down to this level of granularity that you can truly optimize your pricing to maintain your positioning and maximize your margins at the same time.
We are kicking off today a new series on our blog about the changes brought by the Fundamental Review of the Trading Book and offer concrete solutions, rooted in technology, to the challenges it poses.
We’ve consulted with our customers over many meetings to understand precisely how the new regulations would impact them, what plans they had to abide by the new regulations and what were the most salient pain points they had identified.
A direct freight train linking Wuhan in central China and Lyon in France began operation in April this year. It now takes 16 days to complete the 11,300-kilometer journey, compared to the 50-60 days to transport from Wuhan to France by sea.
If you’re a supply chain expert managing the China-Europe route, the new rail line potentially opens up cost reduction opportunities. And I’ll soon explain why only ‘potentially’.
We are proud to announce our new partnership with Atos to build a Big Data appliance aimed at serving banks and other financial institutions.
The appliance combines ActivePivot with a bullion server from Atos as well as the Zing Java Virtual Machine from Azul Systems.
Bullion is an innovative, modular server that can scale up (or down) from 2 CPUs and 1.5 TB of memory to 16 CPUs and 12 TB. It fits well with the equally scalable nature of ActivePivot, which fits just as well on smaller machines as on the 16 TB juggernauts, as we demonstrated last year.