By Amanah Ramadiah, Domenico Di Gangi, D. Ruggiero Lo Sardo, Valentina Macchiati, Tuan Pham Minh, Francesco Pinotti, Mateusz Wilinski, Paolo Barucca and Giulio Cimini. The paper, ‘Network Sensitivity of Systemic Risk’, explores how propagation dynamics depend on the topological details of an underlying network. It provides detailed understanding of the interplay between systemic risk […]
Introducing FNA Platform update 21. We’ve been busy behind the scenes making improvements to the FNA platform, now available in version 21.7. So, what’s new? Here’s a short overview of some of the new updates. If you’d like any further information, please don’t hesitate to get in touch or contact your account manager. Saving Dashboard […]
FNA is proud to announce that it is now an institutional member of the Digital Euro Association. The DEA, is a think tank specialising in CBDCs, Stablecoins and Crypto Assets, with a particular focus on the digital euro. By joining the DEA, FNA will contribute to the public and political discourse surrounding digital currencies […]
FNA founder and CEO Kimmo Soramaki recently joined presenter Alice Baxter on the BBC World News to discuss the G7’s principles for Retail Central Bank Digital Currencies and explain how simulation and analytics can help Central Banks predict the impact of introducing them into their economies. Watch the full interview here: The guidelines […]
Author: Will Towning, Central Banks and Academia Programme Manager What is Suptech Analytics? Suptech is the application of innovative supervisory technology by central banks and financial authorities. It has traditionally focused on helping authorities collect and manage data more effectively, as well as digitise and automate certain processes. Such early iterations mostly support […]
FNA Talks Data Science in Economics and Finance with the Bank of England Adrian Waddy, Data Consultant at Australian Prudential Regulation Authority and Developer at the Bank of England, joins host Adam Csabay to discuss his contribution to the Risk books publication, Data Science in Economics and Finance for Decision-makers. Adrian’s chapter, Implementing Big […]
By Amanah Ramadiah, Fabio Caccioli, Daniel Fricke Financial networks are an essential source of systemic risk. Unfortunately, detailed data on (direct and indirect) interactions between individual financial institutions is often unavailable, and the only the total aggregate position is known. To conduct a stress test, one must resort to network reconstruction methods to infer the […]
Author: Edoardo Giovannini, Research Analyst Intern, FNA In the context of the coronavirus pandemic (COVID-19), it is important that central banks monitor credit risk with new methods. Understanding how credit risk will move during the next few years is crucial to prevent non-performing-loans (NPL) from negatively affecting the financial system or the real economy. Recently, […]
Author: Yijie Zhou, Data Analyst Intern at FNA The latest dashboard on FNA’s G20 Monitor applies the notion of trophic analysis to financial and economic networks. With the tool, financial institutions can better understand their position and functionality within the networks and shed light on policy and regulation problems. In this blog, FNA […]
Author: Will Towning, Central Banks and Academia Programme Manager What is intraday liquidity? Intraday liquidity is the funds financial institutions can access during the business day in order to make payments in real time. Acute liquidity stresses during the Global Financial Crisis (GFC) highlighted the need for banks to improve intraday liquidity […]
Data Science in Economic and Finance for Decision Makers with David Bolder, Director of Model Development and Economic Capital at Nordic Investment Bank In this latest episode of the FNA Talks podcast series, David Bolder, Director of Model Development and Economic Capital at Nordic Investment Bank. In this latest episode of the FNA Talks podcast […]
FNA recently co-hosted a Suptech and Regtech training series with CMELA, the Centre for Latin American Monetary Studies. The interactive training sessions introduced Central Bankers to the key foundations and new applications on innovative technologies including AI and Machine Learning, Big Data, DLT, Cloud as well as Network Analytics and the opportunities and challenges […]
