Probabilistic Graphical Models: A New Way of Thinking in Financial Modelling - Tapa blanda

Alexander Denev

 
9781782720973: Probabilistic Graphical Models: A New Way of Thinking in Financial Modelling

Sinopsis

Probabilistic Graphical Models gives an overview of PGMs (a framework encompassing techniques like bayesian networks, markov random fields and chain graphs), which incorporate forward-looking information for making financial decisions, and applies them to stress testing, asset allocation, hedging, and credit risk.

This approach describes a new way to contend with stress testing (a big component of regulations like CCAR, the AIFMD, and Solvency II), teaches the reader how to strengthen their portfolios, presents a forward-looking way of conducting tail hedging, and gives a clear picture of the credit risk of the institution in question (such as a bank or a hedge fund).

Probabilistic Graphical Models teaches this relatively new technique to the reader, explaining how it can be applied to a variety of everyday challenges. Previous to their use in finance, PGMs have been used in disciplines such as computer science, engineering and medicine. Author Alexander Denev expands on this pre-existing material to examine other types of PGMs, demonstrating a novel range of applications.

Chapters feature:
- Why is a new approach needed?
- Probabilistic Graphical Models: An Overview
- Stress Testing
- Asset Allocation
- Hedging
- Credit Risk

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Acerca del autor

Alexander Denev has more than ten years of experience in Finance in different countries across Europe and is the founder of GraphRisk, a company aimed at promoting the use of graphical models in risk management and asset allocation, and senior advisor to Risk Dynamics. He is involved in projects preparing major US and European banks for the CCAR/EBA stress testing exercises.

Alexander led the wholesale modelling team responsible for stress testing of the Royal Bank of Scotland (RBS) until 2014. He was also in charge of the EAD/LGD wholesale modelling teams. Prior to that, he worked in RBS as a fixed income structurer leading the bank s tail hedging project. He provided advice and devised hedging products for big institutional clients (pension funds and insurance companies). Before joining RBS, Alexander was in charge of the Basel II/III implementation project for the European Investment Bank (EIB) and European Investment Fund (EIF). He was also leading the stress testing exercises both for the EIB and the EIF. He participated in the engineering of both the European Financial Stability Facility and the European Stability Mechanism. Prior to that, he covered different specialist and managerial positions in risk management departments in different large international groups, such as the National Bank of Greece, Société Générale and BNP Paribas.

Alexander holds a degree in mathematical finance from the University of Oxford. He also holds a BSc and MSc in engineering physics from the University of Rome. He is author of papers in finance on topics ranging from stresstesting to asset allocation. He is a regular speaker at key conferences and global forums and is co-author of the book Portfolio Management under Stress.

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