Masterclass on Modern and Traditional Credit Risk Analysis and Management
VCCircle
Masterclass on Modern and Traditional Credit Risk Analysis and Management
03-12 Mar, 2021 | Digital Masterclass
VCCircle
Masterclass on Modern and Traditional Credit Risk Analysis and Management
03-12 Mar, 2021 | Digital Masterclass
Overview
A Course Led by Professor Edward I. Altman and Other Leading Experts
We are pleased to offer an in-depth and unique course on up-to-date and traditional principles and models on one of the most important risk management areas in today’s financial environment – Credit Risk. Led by world famous scholar and Senior Advisor to many corporate and regulatory organizations, Professor Edward I. Altman from the NYU Stern School of Business, Dr. Altman is also Co-Founder and Senior Advisor to the SME Credit Analytic Firm, Wiserfunding, Ltd, with locations in London and Mumbai. This 6-module course will discuss and train credit practitioners, financial regulators, firm advisors and executives and instructors in finance on such topics as:
Fundamentals and Classical Techniques of Credit Risk Management
The Altman family of Z-Score models - what have we learned over the last 50 years
Applications of credit risk default prediction models for Lenders, Investors in Fixed Income and Equity Markets, Board members, Invoice financers, Firm managers, Firm Advisors, M&A Specialists, and Turnaround Professionals
Analyzing COVID-19 and the Credit Cycle in the U.S. and India
The usage of Artificial Intelligence and Specialized Models and Techniques for analyzing and assisting Small and Medium Sized firms (SMEs)
Investing in Distressed and Defaulted Firms and Debt Securities
References to Case Studies of firms in the U.S., Europe and India
Our other leading instructor-experts are Dr. Gabriele Sabato, Co-Founder and CEO of Wiserfunding, Ltd. (London) and Dr. Robert Benhenni, CEO of QFA, Inc. (New York and Paris) Lecturer at the University of Bergamo, (Italy) and Portfolio Advisor to Classis Capital, SpA. (Milan).
Where relevant, we will provide classic and recently published cutting-edge articles, written by our instructors, to course participants.
Module 1: Credit Scoring Models and the Altman Family of Z-Score Models - What Have We Learned the Last 50 Years
Instructor: Dr. Edward I. Altman, Professor of Finance, NYU Stern School of Business & Co-Founder and Senior Advisor to the SME Credit Analytic Firm, Wiserfunding, Ltd.
This two-hour module will explain the development of classical and modern credit scoring techniques and their introduction into the scholarly and practitioner environments. Combining traditional financial statement indicators with powerful statistical techniques, the original Altman Z-Score model (1968) has pioneered the development of generations of subsequent techniques on a global level in order to provide objective, accurate and cost-effective methods to enhance predictive accuracy and sophistication for a range of practical uses. Mini-case studies from the USA and India will complement the descriptive and analytical discussions. Professor Altman returns to India for this training program and will draw upon his extensive experience in researching and applying these credit risk management and distressed risk prediction techniques.
Discussions will cover:
What was it like doing credit-risk research 50+ years ago
Combining Traditional and non-traditional statistical analytics to enhance the Information content of financial and qualitative data
Extensions of the analysis from Manufacturing Firms only, to the coverage of more generalized sectors and countries, including emerging markets
Exploring applications to the restructuring of distressed firms, including the decision as to whether to bailout a major company, like General Motors, or explore the benefits and costs of bankruptcy
The importance of Bond Rating Equivalents and Mortality Rate Analysis
Comparing Models with Bond and Loan Ratings from Credit Rating Agencies (CRAs)
Module 2: Traditional and New Credit Markets and Instruments
Instructor: Dr. Robert Benhenni, CEO of QFA, Inc. & lecturer at the University of Bergamo, (Italy) and Portfolio Advisor to Classis Capital, SpA. (Milan)
This module will explore traditional bank and non-bank lending markets and instruments. In addition, Dr. Benhenni will discuss new structures and markets, such as the credit default swaps (CDS), Collateralized credit instruments on Loans (CLOs), bonds (CBOs), credit cards, auto receivables, etc. and models using capital market data.
Discussions will cover:
Bank and Non-Bank (Shadow Bank) markets
BIS Standards for Estimating Probability of Default and Loss
Stress Testing a Band or Non-Bank Portfolio of assets
Portfolio Credit Risk Modeling
Bank Portfolio Risk Management of Loans and Investments
The Rise in importance of Structured Credit Markets and Instruments
Module 3: Evaluating and Investing in Distressed and Defaulted Firms and Securities
Instructor: Dr. Robert Benhenni, CEO of QFA, Inc. & lecturer at the University of Bergamo, (Italy) and Portfolio Advisor to Classis Capital, SpA. (Milan)
This module will emphasize Dr. Benhenni’s extensive practical and scholarly work on Distressed Debt Markets and exploring the Anatomy of Distressed Debt Investing. This market has become an important new factor in the Indian sub-continent and a growing market globally, especially during the Pandemic.
Discussions will cover:
The Size and Importance of Distressed Debt Markets Before and After COVID-19
Empirical Evidence on Investing in Defaulted bonds and Bank Loans
The importance of Debt Seniority and Recovery Rates
Predicting Defaults and Distressed Investing
Return/Risk Tradeoffs and Results of Distressed Investing vs Other Risky Asset Classes
Modules 4: Analyzing and Assisting Small and Medium Sized Firms (SMEs) in Credit Markets
Instructor: Dr. Gabriele Sabato, Co-Founder and CEO of Wiserfunding, Ltd.
This module will explore the importance and vulnerability of SMEs globally. Path breaking, new techniques to assess the credit worthiness of firms in this crucial segment of financial markets will be highlighted. In this context, learning about how the latest techniques are changing the face of traditional credit risk assessment for SMEs can be a competitive advantage. Understanding what the most appropriate sources of data are, and how data can be downloaded and processed in a few seconds, are the new frontiers in this sector’s credit risk management. In this module and course, we will explore all the main elements of the powerful mix of risk and technology for SMEs. Dr. Sabato will draw upon almost 20 years of experience in banking and financial markets, and more recently, in a Fin-Tech successful startup. Recently, he has become focused on the Indian SME market and his firm, Wiserfunding, Ltd. Has a subsidiary based in Mumbai.
Discussions will cover:
Why SMEs are different and what variables matter when developing models to assess their credit risk
The role of SMEs in domestic markets, globally
The competitive landscape in modelling SME Credit Risk
Scholarly and Practitioner attempts to model SME credit risk. How to measure the prediction power of SME models. What are the latest technologies to support real-time decisioning for SMEs. How to process structured and unstructured data and the use of APIs in the context of Big Data.
Lessons learned from the Italian Mini-Bond Market since 2014 and the potential relevance for India. What are the latest developments in the Indian market and available sources of data for SMEs
The development, testing and Implementation of the SME Z-Score Approach
Combining Traditional and Statistical Credit analytics with Artificial Intelligence, Governance and Macro-Financial data to build a path breaking technique to assess and assist SMEs
Applications of SME Credit Assessment for Multiple Institutions and Markets, including lending, invoice financing, direct private firm financings, and SME firm valuation
SME assessment in the COVID-19 period – Stress Testing
Modules 5: Analyzing and Assisting Small and Medium Sized Firms (SMEs) in Credit Markets
Instructor: Dr. Gabriele Sabato, Co-Founder and CEO of Wiserfunding, Ltd.
This module will explore the importance and vulnerability of SMEs globally. Path breaking, new techniques to assess the credit worthiness of firms in this crucial segment of financial markets will be highlighted. In this context, learning about how the latest techniques are changing the face of traditional credit risk assessment for SMEs can be a competitive advantage. Understanding what the most appropriate sources of data are, and how data can be downloaded and processed in a few seconds, are the new frontiers in this sector’s credit risk management. In this module and course, we will explore all the main elements of the powerful mix of risk and technology for SMEs. Dr. Sabato will draw upon almost 20 years of experience in banking and financial markets, and more recently, in a Fin-Tech successful startup. Recently, he has become focused on the Indian SME market and his firm, Wiserfunding, Ltd. Has a subsidiary based in Mumbai.
Discussions will cover:
Why SMEs are different and what variables matter when developing models to assess their credit risk
The role of SMEs in domestic markets, globally
The competitive landscape in modelling SME Credit Risk
Scholarly and Practitioner attempts to model SME credit risk. How to measure the prediction power of SME models. What are the latest technologies to support real-time decisioning for SMEs. How to process structured and unstructured data and the use of APIs in the context of Big Data.
Lessons learned from the Italian Mini-Bond Market since 2014 and the potential relevance for India. What are the latest developments in the Indian market and available sources of data for SMEs
The development, testing and Implementation of the SME Z-Score Approach
Combining Traditional and Statistical Credit analytics with Artificial Intelligence, Governance and Macro-Financial data to build a path breaking technique to assess and assist SMEs
Applications of SME Credit Assessment for Multiple Institutions and Markets, including lending, invoice financing, direct private firm financings, and SME firm valuation
SME assessment in the COVID-19 period – Stress Testing
Module 6: Applications of Credit Risk Prediction Models and COVID-19 and the Credit Cycle
Instructor: Dr. Edward I. Altman, Professor of Finance, NYU Stern School of Business & Co-Founder and Senior Advisor to the SME Credit Analytic Firm, Wiserfunding, Ltd.
This last module will explore Professor Altman’s extensive experience in developing and implementing Credit Risk models for numerous applications to a range of Practitioners and Regulators. These applications can be divided into two dimensions: From Outside-Analysts to the firm and from Inside executives and Board members. In addition, Dr. Altman’s recent work and unique perspective on analyzing COVID-19 and the Credit Cycle will be highlighted.
Discussions will cover:
Applications for Banking and Non-Banking Lenders
Investors in Credit Instruments; Bonds, Loans and Structured Products
Investors in Equity Securities and Baskets of Stocks
Accounting Auditors and Financial Regulator Applications
Credit Rating Agencies Applications
Commercial Advisors Applications
M&A and Private Equity Specialists
Firm Managers, especially in Managing A Financial Turnaround
Covid-19 and the Credit Cycle – How to analyze and forecast the impact of COVID-19 on Credit Markets
Professor of Finance, NYU Stern School of Business
Professor Edward I. Altman, Professor of Finance, NYU Stern School of Business. Dr. Altman is also Co-Founder and Senior Advisor to the SME Credit Analytic Firm, Wiserfunding, Ltd.
Edward I. Altman is the Max L. Heine Professor of Finance at the Stern School of Business, New York University. He is the Director of Research in Credit and Debt Markets at the NYU Salomon Center for the Study of Financial Institutions. Prior to serving in his present position, Professor Altman chaired the Stern School's MBA Program for 12 years. He has been a visiting Professor at the Hautes Etudes Commerciales and Universite de Paris-Dauphine in France, at the Pontificia Catolica Universidade in Rio de Janeiro, at the Australian Graduate School of Management and MacQuarie in Sydney, University of Western Australia in Perth, Luigi Bocconi University in Milan and CEMFI in Madrid. Dr. Altman was named to the Max L. Heine endowed professorship at Stern in 1988.
Dr. Altman has an international reputation as an expert on corporate bankruptcy, high yield bonds, distressed debt and credit risk analysis. He was named Laureate 1984 by the Hautes Etudes Commerciales Foundation in Paris for his accumulated works on corporate distress prediction models and procedures for firm financial rehabilitation and awarded the Graham & Dodd Scroll for 1985 by the Financial Analysts Federation for his work on Default Rates on High Yield Corporate Debt and was named "Profesor Honorario" by the University of Buenos Aires in 1996. He is currently an advisor to the Centrale dei Bilanci in Italy and to several foreign central banks. Professor Altman is also the Chairman of the Academic Advisory Council of the Turnaround Management Association. He received his MBA and Ph.D. in Finance from the University of California, Los Angeles. He was inducted into the Fixed Income Analysts Society Hall of Fame in 2001, President of the Financial Management Association (2003) and a FMA Fellow in 2004 and was amongst the inaugural inductees into the Turnaround Management Association’s Hall of Fame in 2008. In 2005, Prof. Altman was named one of the “100 Most Influential People in Finance” by the Treasury & Risk Management magazine. He also received an Honorary Doctorate from Lund University, Sweden in May 2011.
Professor Altman was one of the founders and an Executive Editor of the international publication, the Journal of Banking and Finance and Advisory Editor of a publisher series, the John Wiley Frontiers in Finance Series. He has published or edited two-dozen books and over 150 articles in scholarly finance, accounting and economic journals. He was the editor of the Handbook of Corporate Finance and the Handbook of Financial Markets and Institutions and the author of a number of recent books, including his most recent works on Bankruptcy, Credit Risk and High Yield Junk Bonds (2002), Recovery Risk (2005), Corporate Financial Distress & Bankruptcy (3rd ed., 2006) and Managing Credit Risk (2nd ed. 2008). His work has appeared in
many languages including French, German, Italian, Japanese, Korean, Portuguese and Spanish.
Dr. Altman's primary areas of research include bankruptcy analysis and prediction, credit and lending policies, risk management and regulation in banking, corporate finance and capital markets. He has been a consultant to several government agencies, major financial and accounting institutions and industrial companies and has lectured to executives in North America, South America, Europe, Australia-New Zealand, Asia and Africa. He has testified before the U.S. Congress, the New York State Senate and several other government and regulatory organizations and is a Director and a member of the Advisory Board of a number of corporate, publishing, academic and financial institutions. He has been Chairman of the Academic Council of the Turnaround Management Association since 2002.
Dr. Altman is Chairman Emeritus and a member of the Board of Trustees of the InterSchool Orchestras of New York and a founding member of the Board of Trustees of the Museum of American Finance.
Dr. Robert Benhenni, CEO of QFA, Inc. He is also a lecturer at the University of Bergamo, (Italy) and Portfolio Advisor to Classis Capital, SpA. (Milan)
Robert Benhenni holds a PhD in Applied Mathematics (Statistical Probability) from UCLA (University of California Los Angeles), and an MBA in Finance from the University Of Chicago Booth School Of Business.
CORE COMPETENCIES:
Deep knowledge of High Yield and Distressed credit investment strategies (e.g., QFA, NYU Stern Salomon Center for the Credit Markets, Morgan Stanley, Credit Suisse, Nicomachean Partners, Natixis)
Thorough knowledge of valuation of credit securities including structured credit, full capital structure debt claims and credit derivatives (Credit Suisse, Nicomachean Partners, Natixis)
Strong background in the application of statistical techniques to the financial markets such as the application of statistical survival analysis to default prediction (e.g., Morgan Stanley) and the successful application of Bayesian dynamic multifactor econometric models to systematic investments strategies in Futures (e.g., QFA)
Thorough knowledge of portfolio construction analytics and asset allocation techniques (e.g., QFA, Natixis)
High competence in risk management analytics such as Value-at-Risk, Credit Risk and Stress Testing (e.g., QFA, Morgan Stanley, Nicomachean Partners, Natixis)
Strong background in the valuation of derivatives products, cash instruments and corporate firm valuation (e.g., Credit Suisse, Nicomachean Partners, Natixis, JP Morgan)
Excellent capacity to explain complex issues clearly and succinctly no matter the professional or academic audience (e.g., Morgan Stanley, NYU Stern School of Business)
ACCOMPLISHMENTS:
Robert Benhenni created the first-ever Middle-Market company performance index providing early investment insights into major stock indexes: S&P 500, S&P SmallCap 600 and Russell 2000, that the media (WSJ, CNBC) have discussed (NYU Stern School of Business, QFA)
Built a unique quantitative credit investment strategy in High Yield corporate bonds incorporating the business risk of the firm, the capital structure of the firm and earnings growth forecasts, and managed the fund resulting in superior performance (Natixis)
Actively developed the CLO/CBO business: an instigator of the investment strategy to identify CLOs/CBOs relative value trades by quantifying the risk / return profiles of those products (Natixis)
Built state-of-the-art credit default models for both non-financial firms and financial firms covering the full U.S. market that showed very high prediction power (Morgan Stanley)
Developed a novel capital structure valuation model based on balance sheet simulation valuing senior/junior/secured debt and CDS; plus developed investment strategy applications such as capital structure arbitrage and optimal firm recapitalization models (Nicomachean Partners, Credit Suisse)
Built systematic investment strategies in grain and soft commodity futures based on a state-of-the-art Bayesian dynamic multifactor econometric model resulting in stellar fund performance significantly outperforming most of the hedge funds (QFA)
Chaired the portfolio risk management committee and successfully managed risk during turbulent times for all funds such as long/short Macro-Fund, long/short Equity, long Credit, and long/short Emerging Market debt (Natixis)
Gabriele is an experienced risk manager, currently leading a London-based fintech, Wiserfunding, specialized in assessing the credit risk of SMEs.
Deep knowledge of current Regulatory context (Basel III, G-Sifi, IFRS, SREP, SSM and EBA stress testing and PRA requirements) with extensive past experience in consumer and SME lending.
Combines significant knowledge of quantitative risk models and portfolio management techniques with proven track record in managing large cross-cultural teams across different geographies for a successful delivery of multiple large and highly complex projects in challenging cross-border regulatory environment and under ambitious deadlines.
Outstanding academic records and highly sophisticated research activity published in the most important academic journals have helped to build a strong profile and credibility with investors and regulators.
He received his M.S.c. and Ph.D. in Finance from University of Rome “La Sapienza” – Faculty of Economics.
Some of his publications include:
“Effects of the New Basel Capital Accord on the Bank Capital Requirement for SMEs”, co-authored with Edward I. Altman – Journal of Financial Services Research, October 2005.
“Modeling credit risk for SMEs. Evidence from the US market”, co-authored with Edward I. Altman – ABACUS, Vol.43, Issue 3, September 2007.
“Downturn Loss Given Default: how and when to add the required conservatism”, Credit Technology, SERASA, April 2008.
“Managing Credit Risk for Retail Low Default Portfolios”, Wagner N. (ed.), Credit Risk: Models, Derivatives and Management, Chapman & Hall / CRC, Financial Mathematics Series Vol. 6, May 2008.
“Credit Scoring Models”, Rama Cont (ed.), Encyclopedia of Quantitative Finance, Wiley and Sons, July 2010.
“The Value of Non-Financial Information in SME Risk Management”, co-authored with Edward I. Altman and Nicholas Wilson, Journal of Credit Risk, Vol. 6, Number 2, Summer 2010.
“Financial Crisis: Where Did Risk Management Fail?” International Review of Applied Financial Issues and Economics, 2009.
“Solving Sample Selection Bias in Credit Scoring”, Credit Technology, SERASA, Number 71, March 2010.
"Setting Acquisition Strategy for Retail Customers", Credit Technology, SERASA, Number 73, August 2010.
"Risk Management, Corporate Governance and Bank Performance in the Financial Crisis", Co-authored with Aaebi V. and Schmid M., Journal of Banking and Finance, Vol. 36, Number 12, December 2012.
"Measuring and Managing Credit and Other Risks" in Portfolio Theory and Management, Baker K. and Filbeck G. Editors, Oxford University Press, June 2013.
“Risk Management and Financial Disasters” in Investment Risk Management, Baker K. and Filbeck G. Editors, Oxford University Press, January 2015
“Assessing the credit worthiness of Italian SME and mini-bond issuers”, Co-authored with E. Altman and M. Esentato, Global Finance Journal, forthcoming.
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