A Banker’s Perspective on the Financial Crisis

During the last several years Robert Amzallag as Senior Fellow at CIRANO has taken an active interest in the research and transfer activities undertaken by the Finance Group. He has suggested initiatives that would be relevant to the financial industry in Montreal, particularly in derivative products and concerning practical issues in governance at the director’s level. As the former President and CEO at BNP Paribas (Canada), Mr. Amzallag is certainly well placed to offer insightful commentary on the financial crisis that has preoccupied us over the last several months. Mr. Amzallag’s presentation combines a retrospective analysis of root causes of the crisis followed by some thoughts on what’s to come. As to causes, he isolates three trends that have been gathering force over several decades. These include the erosion of certain stabilizing factors, particularly in the credit market, that has lead to extreme concentrations of risk. Looking to the future, Mr. Amzallag cautiously explores the consequences of several scenarios or responses to the crisis. The first two represent the pursuit of policies reflecting established political sensibilities involving different degrees of government intervention. The third represents a more thoughtful re-appraisal of the different functions that the key players—governments, central banks, regulators and financial institutions —should pursue and should be left to pursue. We have also invited CIRANO Fellow Michel Magnan, Professor of Accounting at Concordia’s John Molson School of Business to present an overview of the controversy surrounding marking to market, an issue highlighted by Mr. Amzallag as an important aspect of the crisis. Professor Michel Magnan takes up the technical but crucial issue of whether fair-value accounting [FVA] was an inadvertent messenger of the financial crisis or was an actual contributor to the crisis. The point is far from academic. By way of appendices to these presentations, the Finance Group has prepared a graphic tool that permits the time-series presentation of key financial indicators against the historical background of the crisis. As well, we have prepared a primer on structured products, including synthetic CDOs, that have played a lead role in the current crisis. This presentation leads naturally to the software module developed at CIRANO that explores the risk management dimensions of these products.

Collateralised loan obligations (CLOs) : a primer

The following descriptive paper surveys the various types of loan securitisation and provides a working definition of so-called collateralised loan obligations (CLOs). Free of the common rhetoric and slogans, which sometimes substitute for understanding of the complex nature of structured finance, this paper describes the theoretical foundations of this specialised form of loan securitisation. Not only the distinctive properties of CLOs, but also the information economics inherent in the transfer of credit risk will be considered, so that we can equally privilege the critical aspects of security design in the structuring of CLO transactions

Distressed debt in Germany: What's next? Possible innovative exit strategies

During the past two years, private equity funds have acquired substantial portfolios of nonperforming loans from banks in Germany. Typically a private equity investor does not commit funds unless exit strategies are clearly defined. The usual exit strategies for distressed debt investors are fix it (restructuring and turnaround), sell it (sale of debt or equity), or shut it down (liquidation). A new alternative exit strategy for NPL investors considered here is the transfer of credit recovery risk. --Focus,diversification,specialization,monitoring,bank returns,bank risk,Non Performing Loans,Distressed debt investing,Synthetic securitization,Collateralized debt obligations,Credit risk transfer,Credit derivatives,Credit default swaps,Credit recovery swaps,Credit portfolio management,Credit portfolio risk,Credit portfolio returns,Efficiency of credit risk portfolio allocations,Learning effects

Testing for Mean-Coherent Regular Risk Spanning

Coherent risk measures have received considerable attention in the recent literature.Coherent regular risk measures form an important subclass: they are empirically identifiable, and, when combined with mean return, they are consistent with second order stochastic dominance.As a consequence, these risk measures are natural candidates in a mean-risk trade-off portfolio choice.In this paper we develop a mean-coherent regular risk spanning test and related performance measure.The test and the performance measure can be implemented by means of a simple semi-parametric instrumental variable regression, where instruments have a direct link with the stochastic discount factor.We illustrate applications of the spanning test and the performance measure for several coherent regular risk measures, including the well known expected shortfall.

WARNING: Physics Envy May Be Hazardous To Your Wealth!

The quantitative aspirations of economists and financial analysts have for many years been based on the belief that it should be possible to build models of economic systems - and financial markets in particular - that are as predictive as those in physics. While this perspective has led to a number of important breakthroughs in economics, "physics envy" has also created a false sense of mathematical precision in some cases. We speculate on the origins of physics envy, and then describe an alternate perspective of economic behavior based on a new taxonomy of uncertainty. We illustrate the relevance of this taxonomy with two concrete examples: the classical harmonic oscillator with some new twists that make physics look more like economics, and a quantitative equity market-neutral strategy. We conclude by offering a new interpretation of tail events, proposing an "uncertainty checklist" with which our taxonomy can be implemented, and considering the role that quants played in the current financial crisis.Comment: v3 adds 2 reference

Structural Causes of the Global Financial Crisis: A Critical Assessment of the ‘New Financial Architecture’

This PERI Working Paper argues that the ultimate cause of the current global financial crisis is to be found in the deeply flawed institutions and practices of what is often referred to as the New Financial Architecture (NFA) – a globally integrated system of giant bank conglomerates and the so-called ‘shadow banking system’ of investment banks, hedge funds and bank-created Special Investment Vehicles. These institutions are either lightly and badly regulated or not regulated at all, an arrangement defended by and celebrated in the dominant financial economics theoretical paradigm – the theory of efficient capital markets. The NFA has generated a series of ever-bigger financial crises that have been met by larger and larger government bailouts. After a brief review of the historical evolution of the NFA, this paper analyses its structural flaws: 1) the theoretical foundation of the NFA – the theory of efficient capital markets – is very weak and the celebratory narrative of the NFA accepted by regulators is seriously misleading; 2) widespread perverse incentives embedded in the NFA generated excessive risk-taking throughout financial markets; 3) mortgage-backed securities central to the boom were so complex and nontransparent that they could not possibly be priced correctly; their prices were bound to collapse once the excessive optimism of the boom faded; 4) contrary to the narrative, excessive risk built up in giant banks during the boom; and 5) the NFA generated high leverage and high systemic risk, with channels of contagion that transmitted problems in the US subprime mortgage market around the world. Understanding the profound problems of the NFA is a necessary step toward the creation of a new and improved set of financial institutions and practices likely to achieve core policy objectives such as faster real sector growth with lower inequality.

Asset pricing and investor risk in subordinated asset securitisation

As a sign of ambivalence in the regulatory definition of capital adequacy for credit risk and the quest for more efficient refinancing sources collateral loan obligations (CLOs) have become a prominent securitisation mechanism. This paper presents a loss-based asset pricing model for the valuation of constituent tranches within a CLO-style security design. The model specifically examines how tranche subordination translates securitised credit risk into investment risk of issued tranches as beneficial interests on a designated loan pool typically underlying a CLO transaction. We obtain a tranchespecific term structure from an intensity-based simulation of defaults under both robust statistical analysis and extreme value theory (EVT). Loss sharing between issuers and investors according to a simplified subordination mechanism allows issuers to decompose securitised credit risk exposures into a collection of default sensitive debt securities with divergent risk profiles and expected investor returns. Our estimation results suggest a dichotomous effect of loss cascading, with the default term structure of the most junior tranche of CLO transactions (“first loss position”) being distinctly different from that of the remaining, more senior “investor tranches”. The first loss position carries large expected loss (with high investor return) and low leverage, whereas all other tranches mainly suffer from loss volatility (unexpected loss). These findings might explain why issuers retain the most junior tranche as credit enhancement to attenuate asymmetric information between issuers and investors. At the same time, the issuer discretion in the configuration of loss subordination within particular security design might give rise to implicit investment risk in senior tranches in the event of systemic shocks. JEL Classifications: C15, C22, D82, F34, G13, G18, G2

Copula based simulation procedures for pricing basket Credit Derivatives

This paper deals with the impact of structure of dependency and the choice of procedures for rare-event simulation on the pricing of multi-name credit derivatives such as nth to default swap and Collateralized Debt Obligations (CDO). The correlation between names defaulting has an effect on the value of the basket credit derivatives. We present a copula based simulation procedure for pricing basket default swaps and CDO under different structure of dependency and assessing the influence of different price drivers (correlation, hazard rates and recovery rates) on modelling portfolio losses. Gaussian copulas and Monte Carlo simulation is widely used to measure the default risk in basket credit derivatives. Default risk is often considered as a rare-event and then, many studies have shown that many distributions have fatter tails than those captured by the normal distribution. Subsequently, the choice of copula and the choice of procedures for rare-event simulation govern the pricing of basket credit derivatives. An alternative to the Gaussian copula is Clayton copula and t-student copula under importance sampling procedures for simulation which captures the dependence structure between the underlying variables at extreme values and certain values of the input random variables in a simulation have more impact on the parameter being estimated than others .Collateralized Debt Obligations, Basket Default Swaps, Monte Carlo method, One factor Gaussian copula, Clayton copula, t-student copula, importance sampling

On the Mechanism of CDOs behind the Current Financial Crisis and Mathematical Modeling with Levy Distributions

This paper aims to reveal the mechanism of Collateralized Debt Obligations (CDOs) and how CDOs extend the current global financial crisis. We first introduce the concept of CDOs and give a brief account of the de- velopment of CDOs. We then explicate the mechanism of CDOs within a concrete example with mortgage deals and we outline the evolution of the current financial crisis. Based on our overview of pricing CDOs in various existing random models, we propose an idea of modeling the random phenomenon with the feature of heavy tail dependence for possible implements towards a new random modeling for CDOs