English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Financial data is abundant, diverse and generated in large volumes at any time worldwide. Finding fast and reliable ways of analyzing it is key for market actors (regulators, market makers, brokers and investors). In this work, we intend to use graph theory as a vehicle to analyze relationships among owners of publicly traded companies in order to extract latent dynamics that are very difficult to discover otherwise. As a case study we took the bankruptcy of the largest brokerage firm in Colombia in 2012. Network theory uncovered latent dynamics in the relationships among key owners and companies during the period of analysis (2009 2012) that could be used in the future as an early warning tool for market participants.

A Complex Network Approach to Identify Potential Financial Scandals: The Colombian Market Case