Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management

Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management

Release Date: April, 2024|Copyright: © 2024 |Pages: 299
DOI: 10.4018/979-8-3693-3787-5
ISBN13: 9798369337875|ISBN13 Softcover: 9798369350614|EISBN13: 9798369337882
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Description & Coverage
Description:

Financial institutions face a critical challenge in managing financial risks effectively under the stringent regulatory frameworks of Basel III and Solvency II. Traditional risk management approaches often need to provide the necessary tools to control risks in a dynamic and evolving market environment. A comprehensive methodology integrating advanced risk analysis concepts and structured frameworks is essential for institutions to achieve optimal risk management outcomes, leading to increased solvency risk, capital requirements, and value at risk (VAR).

Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management is a groundbreaking book that presents a transformative approach to financial risk management. Inspired by Peter L. Bernstein's insight on risk control, this book introduces a unique methodology that combines the DMAIC framework with advanced risk analysis concepts. Financial institutions can enhance their risk management processes by applying these tools to internal models for Solvency II and Basel III, reduce solvency risk, and improve competitiveness.

Through practical demonstrations based on real-world financial projects, this book equips professionals with the skills to implement Six Sigma DMAIC and Markov Chain Monte Carlo techniques in financial risk management. By leveraging these methodologies, institutions can significantly improve managing risks, complying with regulatory requirements, and enhancing overall business capabilities. Gain a competitive edge in the financial landscape with the innovative strategies outlined in this essential guide.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Comprehensive Investment Risk Assessment
  • Estimating Loan Interest Rates and Payments
  • Financial Statement Forecast
  • Insurance Claims Payments Risk Analysis
  • Price Evolution with Markov Chain Monte Carlo
  • Projecting Interest Rates
  • Risk Analysis of Insurance Claims and Reinsurance
  • Risk Assessment in Investment Portfolio
  • Value at Risk (VAR) in Finance
  • Value at Risk (VAR) Portfolio Analysis
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Editor/Author Biographies
Vojo Bubevski comes from Berovo, Macedonia where he completed his primary and secondary education. He has a Degree in Computer Science and Informatics from the University of Zagreb, Croatia in 1977. He started his professional career in 1978 as an Analyst Programmer at Alkaloid Pharmaceuticals in Skopje, Macedonia. At Alkaloid, he worked on applying Operations Research methods to solve commercial and technological pharmaceutical problems from 1982 to 1986. For these applications, he developed his software for optimisation including Linear and Non-Linear Programming, Dual Algorithm, and Integer Programming. In this period, he was a part-time lecturer at the “Koco Racin” Open University in Skopje, for which he, as a co-author, published a couple of textbooks. In 1987 Vojo immigrated to Australia. He worked for IBM™ Australia from 1988 to 1997. For the first five years, he worked in IBM™ Australia Programming Centre developing systems software. The rest of his IBM™ career was spent working in IBM™ Core Banking Solution Centre. In 1997, he immigrated to the United Kingdom where his IT consulting career started. As an IT consultant, Vojo worked for Lloyds Bank in London, Svenska Handelsbanken in Stockholm, and Legal & General Insurance in London. In June 2008, he was engaged as a Senior Consultant by TATA Consultancy Services Ltd. He is a specialist in Business Systems Analysis & Design (Banking & Insurance) and has delivered major business solutions across several organisations. He retired in May 2018. Vojo has a very strong background in Mathematics, Operations Research, Modelling and Simulation, Risk & Decision Analysis, Six Sigma, and Software Engineering, and a proven track record of delivering solutions applying these methodologies in practice. He has received several formal awards. Since 2007, he has been doing practical research in applications of Stochastic Risk & Decision Analysis. His work evolved and resulted in a novel stochastic Six Sigma DMAIC method for Risk Management. Vojo published many written works in eminent international conferences and journals, featured as a guest speaker at several prominent conferences internationally, and published one chapter and 13 books applying his method (Ref. ORCID: 0000-0002-7181-4445). The author’s distinguished book “Six Sigma Improvements for Basel III and Solvency II in Financial Risk Management”, including the Six Sigma DMAIC methods for Risk Management, is recognised and currently ranked 91 with 4.03 stars in the “100 Best Financial Risk Management Books of All Time” by the BookAuthority (Ref. ). Bernstein stated, “The risk will always be there, so we must explore many interesting tools that can help us to control risks we cannot avoid taking” (Bernstein & Damodaran 1998). The author’s Six Sigma DMAIC Methods are one such tool.
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