GoldenSource

It was an exciting week for Jeremy Katzeff, CFA, and the GoldenSource team at the Snowflake Data Cloud World Tour in NYC! At the event, Jeremy Katzeff, CFA had the pleasure of demonstrating OMNI in a well-attended session on Native Snowflake Apps for the Snowflake AI Data Cloud. The buzz throughout the day was about the crucial role of AI innovations in managing the ever-growing data, keeping the audience well-informed. Want to learn more about GoldenSource's first-of-its-kind native application, OMNI on Snowflake? Connect with us or reach out directly to Jeremy Katzeff, CFA. #Snowflake #GoldenSource #DataCloud #Innovation

Yesterday, we hosted our North American clients at the NYC GoldenSource Navigate event, with our new CEO, James Corrigan kicking off the day. Thank you to all our valued clients and partners who joined us for insightful discussions, an overview of our product roadmap from Swati Tyagi and Ravi Mahadevan and great networking opportunities. For those who couldn’t attend, our team is always available to share the latest updates with you directly.

I can’t wait for next Wednesday and GoldenSource’s NAVIGATE 2024! We’re going to be hosting customers and partners from across the US here in New York on October 16 for a full-on day of previews, discussion, and product talk. Plus, our new CEO James Corrigan, will be there taking the opportunity to get to know as many of you as possible. Hope to see you there, but if you can’t make it but you want to find out what’s on our roadmap for 2025, get in touch! #EnterpriseDataManagement #Cloud #DataStrategy

GoldenSource's Roger Donovan continues to lead the way on the Snowflake Data Cloud World tours in Europe! Yesterday in London, he joined an insightful panel discussion on Building a Resilient Data Ecosystem. If you missed it or want to dive deeper into the topic, feel free to reach out to us or connect with Roger directly. We’d love to chat! Next week, Jeremy Katzeff, CFA will be speaking at the Snowflake Data Cloud World Tour, Oct 15 in New York.

One day to go! Join our upcoming webinar to discover how Fosfor Decision Cloud and GoldenSource can transform your approach to portfolio management. Don't miss this opportunity to see a live demo and learn from industry experts. 💻 When: Thursday, Oct 10th 2024 ⏲ Time: 10:00 AM-10:45 AM (ET) | 7:30PM-8:15PM (IST) 📣 Register here 👉 https://hubs.ly/Q02RcwfZ0 Corey Sturmer Jeremy Katzeff, CFA LTIMindtree #portfolioanalytics #financialtechnology #fosfordecisioncloud #goldensource #webinar #decisonintelligence

Looking forward to seeing lots of GoldenSource customers and partners in New York next week at NAVIGATE 2024. We have a full day of activities and news planned for October 16 - including an introduction to our new CEO James Corrigan - and if last month’s European session (picture below) was anything to go by, it promises to be a big success. I’m looking forward to revealing some of the exciting stuff coming up on our product roadmap! And if you’re in town the day before (October 15), don’t forget about Snowflake Data World Tour - where you can catch Jeremy Katzeff, CFA talking about GoldenSource OMNI and what’s in the pipeline for our native app. #EDM #EnterpriseDataManagement

Bootstrapping the Yield Curve In a bank’s trading book, future cash flows need to be discounted at the risk-free rate applicable on each CF date. A yield curve contains the required risk-free rates. The yield curve needs to be created from observable market quotes of interest rate instruments that are free of credit risk. A curve is a generic function that plots rates or prices against time. A differential equation (DE) specifies how the prices move over time. Each DE will begin with a dS or a df or a dr. DEs by themselves cannot be used to plot curves. However, DEs have solutions that allow the curves to be plotted. For stock prices for example, dS(t) =S(t)μdt is the DE for compounded stock price changes with a growth rate of μ. The solution is S(t)=[some functional form]. Once you know the functional form of the curve you can determine the exact stock price S for a given time t. An interest rate, r(t) for a period t consists of a series of very small forward rates f(t,T) added up over the period. A DE represented by df(t,T) exists that models how forward rates change over time. One of the solutions to the forward rate DE is the Nelson Siegel (NS) yield curve model. It is a functional form for r(t) that can be parameterized using parameters that determine the curve’s level, slope and curvature. The NS curve is typically fit to observable quotes by changing the NS parameters so that the distance between the curve and the observable market rates is minimized. The NS curve does not need to reproduce exactly the prices of the observable rates that were used to generate it. When there are options in a trading book, smooth curves generated by deterministic functional forms like NS no longer suffice. A statistically-generated range of prices above and below each curve is required to estimate the probabilities that options priced using the curve will expire in-the-money. Stochastic term structure models such as the Vasicek model generate curves with such probabilistic ranges. A bootstrapped yield curve is not a stochastic term structure model like Vasicek. It also does not have a DE. And because it does not have a DE it does not have a specific functional form for r(t) in a way that an NS curve does. Instead, the bootstrapping process is tasked with generating a function r(t) subject to the constraint that the observable price of each financial instrument that is used to generate r(t), e.g., deposits, FRAs, and swaps – can be exactly reproduced. The bootstrapping routine usually starts with shorter maturity instruments creating a series of yields for r(t) backed out from the observable quotes by building up to the longer dated instruments. An interpolation routine is required to generate the curve for r(t) that will allow risk-free yields to be derived for maturities in between those of the observable instruments. The curve should be as smooth as possible.

By 2030, data will be the primary driver of business decision-making and improving outcomes. Constant, real-time feedback from end points on the one hand and GenAI’s capacity to study and extract new insights from historic customer data on the other is leading many businesses towards what McKinsey calls “data ubiquity” in this quarterly study: “Data will … be embedded in systems, processes, channels, interactions, and decision points that drive automated actions (with sufficient human oversight).” GoldenSource agrees with this prediction. That’s why our product vision is focused on maximising the visibility and value of data, for example by delivering quality data to data clouds, and by providing an out-of-the-box data model that makes it much quicker and easier to put data to work. As companies begin to unlock the enormous potential of unstructured data in particular, the choice of tools to use will only become more important. Is your organisation ready? #DataStrategy #Cloud #GenAI #DataGovernance #McKinsey

We’re proud to have had our very own Roger Donovan representing GoldenSource at the Snowflake World Tour yesterday in Amsterdam! Roger joined a panel of leading experts from FactSet and State Street to discuss how data innovation is transforming the financial services industry. Thank you to Nathan Attrell for leading the discussion and to all who participated. #GoldenSource #SnowflakeWorldTour #DataInnovation #FinancialServices #DataManagement"

Exciting opportunities this month to connect with Jeremy Katzeff, CFA, Head of Buy-Side at GoldenSource Don't miss the chance to engage with him and explore how we can support your data management needs.