- This blog is intended as a focal point for financial network analysis. The analysis of financial networks is a new and growing field that enhances our understanding of the structure of the financial web through cartography and modelling.
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- FNA bi-weekly release (2.2.1) is out together with new releases for CANeM and Dynamic Layouts -modules http://t.co/wbU0evGw
(about 1 day ago) - RT @chiaraalbanese: Repositories must capture network analysis, says financial stability expert - FX Week http://t.co/8DExUsWx via @FXweek
(about 2 days ago) - RT @kremplo: Stock market network reveals investor clustering http://t.co/h1KDR3dB ..164,000 investors made 18 million transactions betw ...
(about 5 days ago) - Slides from my seminar at London School of Economics: Financial Network Analytics | http://t.co/yXPmoS5S
(about 6 days ago) - RT @albertocairo: Why visualization matters. Good article on some basics http://t.co/NnJFHiwG via @Periscopic
(about 7 days ago)
- FNA bi-weekly release (2.2.1) is out together with new releases for CANeM and Dynamic Layouts -modules http://t.co/wbU0evGw






FNA alpha version is available at fna.fi
After a busy summer we are proud to release the first online version of the FNA (Financial Network Analytics) platform at www.fna.fi. The site is currently in ‘private alpha’ stage. This means that all main functionality is available but it may not be completely polished yet.
FNA is an application for exploring, analyzing and visualizing financial networks – in a way that much of the research featured in this blog has shown is useful and important. Below is a short “Getting started” video tutorial. In the video I create networks from link data, do centrality analysis of the network and visualize the results.
FNA is intended as a tool for financial regulators and overseers to analyze regulatory data with the tools of network analysis and simulations – and to explore the financial system through visualisations. In addition to the web version, FNA can be installed on company intranets and as a desktop software.
The tool is probably also interesting for researchers in the area. Our plan is to directly connect more data to the online platform so that the cumbersome steps of data cleaning and formatting can be bypassed. Currently a full time series of BIS statistics on banking sector claims by country is included (Table 9D). Better availability of public data should lower the entry barriers to this type of financial research. Also, when both research and policy analysis are available on the same platform, new research models can be made available for policy makers for empirical testing in a resource efficient way.
As for developers, FNA has a modular structure and allows new functionality and models to be easily added. Currently we have plugins for network analysis, basic charts, network layouts, data cleaning tools, a payment system simulator and an algorithm for identifying overnight and term loans from payment data. You can read more about these in earlier posts (1, 2). If you are a researcher or developer, you can have your models run from FNA via our API. You can use all the graphical user interface, data visualization and graph database functionality of FNA in your code. Please get in touch if you would like to know more.
Go to www.fna.fi