Financial stability from a network perspective

This thesis consists of six chapters related to applications of network analysis’ methods for financial stability. The first chapter introduces the network perspective as a new mapping technique for studying and understanding financial markets’architecture. The second chapter breaks down the Colombian sovereign securities market into different layers of interaction corresponding to distinct trading and registering platforms. The third chapter addresses an overlooked issue: How to measure the importance of financial market infrastructures within their corresponding network. The fourth chapter studies the connective and hierarchical structure of the Colombian non-collateralized money market, and uses an information retrieval algorithm for identifying those financial institutions that simultaneously excel at borrowing and lending central bank’s liquidity (i.e. superspreaders). The fifth chapter addresses –for the first time- the question regarding the presence of a modular hierarchy in financial networks, and discusses the main implications for financial stability. The sixth chapter explicitly models the role of financial market infrastructures as financial markets’ “plumbing”, and recognizes that traditional analysis of financial institutions networks is of a virtual or logical nature. The third chapter is published in the Journal of Financial Market Infrastructures (Vol.2 (3), 2014), whereas the fourth chapter is published in the Journal of Financial Stability (Vol.15, 2014)

Machine Learning

Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience

Computer science: the hardware software and heart of IT

1st edition, 201

Recent advances in petri nets and concurrency

CEUR Workshop Proceeding

Proceedings, MSVSCC 2014

Proceedings of the 8th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 17, 2014 at VMASC in Suffolk, Virginia

Efficient Learning Machines

Computer scienc