Introducing a holistic approach to stress testing
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1 McKinsey Working Papers on Risk, Number 55 Introducing a holistic approach to stress testing Christopher Mazingo Theodore Pepanides Aleksander Petrov Gerhard Schröck June 2014 Copyright 2014 McKinsey & Company
2 1 Introducing a holistic approach to stress testing In the beginning, stress tests were ad hoc initiatives launched by national regulators to assess the current state of their domestic banking industry in the aftermath of severe external shocks. Increasingly, however, they are becoming regular features of the ongoing regulatory process. While initial stress-testing exercises mainly focused on capital adequacy, looking in particular at capital ratios, more recent tests have placed greater emphasis on qualitative and quantitative modules to evaluate broader risks within banks. Stress testing has now become one of the regulators main tools for regularly assessing the health of supervised banks. Banks operating internationally (for example, non-us-owned banks with major US operations) will face multiple and more comprehensive stress-testing requirements to satisfy both home country and host country requirements. Stress tests are cost-intensive endeavors. They demand a large number of dedicated employees and the active involvement across virtually the entire organization risk, finance, treasury, business units, audit, senior management, and the board of directors. Additionally, a failure to comply with a regulator s requirements could result in severe penalties, for example, a mandatory recapitalization, forced sale of operating units and portfolios, and management changes. It has therefore become a key priority for banks to develop an effective and cost-efficient approach to stress testing. For the original round of tests, there was a necessary focus on data collection and mechanisms to allow an unfiltered transfer of information to relevant evaluators. However, the latest rounds of testing focus much more significantly on the quality of banks internal risk management and capital planning processes it has become increasingly important that banks are able to demonstrate to supervisors the quality and robustness of their internal capabilities in capital planning and stress-testing analysis. Banks can benefit from taking a more proactive approach, for instance, by developing extensive commentary on their analyses and frequently communicating with regulators. Like other regulatory requirements, a stress test is essentially a process, and Exhibit Seven steps can help banks develop better stress tests. Impact on evaluation Module 1: Data preparation Standard and clear data structure Validated data integrity (reconciled with balance sheet) Dedicated data team Module 2: Strategic PMO 1 Single point of contact with evaluator First-timeright response to questions Adequate senior leadership and attention Module 3: Robust methodologies Certified impairment and EL 2 methodology Thorough forwardlooking P&L 3 and balancesheet forecasting Forwardlooking regulatoryratioprojection methodology Module 4: Superior portfolio analytics Granular bottom-up portfolio stress-testing models Capabilities to reverseengineer key assumptions Deep understanding of (asset) valuation and classification Module 5: Persuasive communication Overarching story aligned throughout organization Thorough description of priority portfolios and LE 4 strategies Confident executives with deep knowledge of portfolios and related strategies Communication backed by analysis and data Module 6: Macroscenarios and correlations Strong inhouse capabilities to develop economic scenarios Econometric models linking macroeconomic parameters to portfolio risk factors and bankperformance drivers Superior ability to provide context and comparison Module 7: Stress-testing model A stresstesting model aggregating individual portfolios Assetliability modeling functionality Advanced capabilities to run reverse stress tests Concrete management action plan, coupled with strong board governance Degree of preparedness and sophistication 1 Project-management office. 2 Estimated loss. 3 Profit and loss. 4 Loss estimation.
3 2 it can be made more efficient with regard to time and costs, particularly if banks realize the need for a clearly articulated and internally aligned story line. This working paper sets out a seven-module process, starting with thorough data preparation and extending to a clear communication strategy and comprehensive modeling of macroscenarios (exhibit). Module 1: Data preparation The starting point of each stress-testing exercise is the preparation of data tapes. For this step, it is essential to provide the evaluator with a comprehensive and easy-to-navigate data set augmented by an authoritative commentary that seeks to explain and interpret the data. Also, it is vital to ensure integrity between reporting and accounting data sets. For these purposes, banks can benefit from the creation of a dedicated data team responsible for data aggregation as well as for responding in a timely fashion, often under severe pressure, to evaluators requests. Module 2: Strategic project-management office (PMO) In some banks, stress testing is seen more as an operational than a strategic task, and consequently it receives relatively little or even no top-management attention and buy-in. This can be overcome if a bank establishes a strategic PMO. The PMO serves as single point of contact for the evaluator. It ensures the consistency and alignment of all data submissions and communication. In addition, it is responsible for the active steering of the entire stress-testing process and can significantly raise the likelihood of effective internal governance. Ideally, the PMO consists of top managers from every relevant business function and is headed by a leader one level below the CEO in the organization. Top-management involvement serves to highlight the importance of the exercise to both internal and external stakeholders. Module 3: Robust methodologies Data models are at the core of each stress test. The creation of viable scenarios and the correct assessment of their implications for the bank are essential. Often, the applied models neglect second-order effects, external shocks, and other significant risk factors. In addition, many models are not robust with respect to the scenarios effect on business volumes, revenues, and costs. Banks therefore need to initiate a forward-looking projection of financial statements and their underlying drivers. They should also develop comprehensive stress-testing manuals, including guidelines, standard processes, and best practices. Module 4: Superior portfolio analytics Regulators are increasingly focusing their evaluation on selected asset classes and portfolio types. In order to forecast the behavior of specific portfolios under stress, banks need to establish granular bottom-up stresstesting models on a portfolio level, incorporating all risk types (for instance, credit, market, operational, and liquidity risk). Only then can they assess the impact of various scenarios on their financial statements and ratios. To make this convincing and compelling to the evaluators, banks need a deep understanding of their applied methodologies so that their explanatory materials meet the necessary standard. Module 5: Persuasive communication Both internal and external communications are essential for an efficient stress-testing exercise. Banks therefore need a clear communication strategy. An overarching story line not only helps to set the frame for future analyses internally but also provides context for the regulator s evaluation. Follow-up communication with regulators should be precise, consistent, and fact based, which can help avoid uncertainties as well as misunderstandings. It is vital that the bank representatives who present findings to regulators are as well prepared as possible because an overly conservative assessment of the bank would have serious disadvantages. Module 6: Macroscenarios and correlations Banks often apply a black hole approach to developing stress-testing models. Their econometric models fail to link macroeconomic factors and core banking drivers and usually are not based on historical data. In
4 Introducing a holistic approach to stress testing 3 many cases, banks also fail to provide any explanation as to how core drivers of their performance might be counterintuitively sensitive to macroscenarios. This could raise concerns on the part of the evaluator and lead to a conservative assessment. It is therefore advisable to build strong in-house capabilities for scenario development and analysis. Additionally, banks should place high emphasis on developing sophisticated stress-testing models that consider a wide range of macrotrends. Module 7: Stress-testing model It is important that stress tests are not seen as simply necessary and costly elements of a bank s compliance with regulatory requirements. Provided they are of sufficient quality, the data and analyses required to fulfill a test can serve as a strong base for strategic decisions. Banks should create central risk-aggregator models designed to combine individual portfolio results from business lines and incorporate forward-planning assumptions. Banks also need to develop capabilities for reverse stress testing, allowing them to assess the impact of potential strategic actions on key ratios and financial statements. Finally, they need to ensure that stress tests are followed by concrete action plans with full account taken of governance, processes, and responsibilities. Stress testing can be a painful and resource-consuming process for banks. Because the potential penalties from a poor assessment are so severe, there is little room for inefficiencies or, worse, actual mistakes. Given the recent announcement of multiple stress-testing initiatives, we can be confident that this will remain the case for most banks that operate internationally. Due to tight deadlines and increasingly detailed regulatory requests, the bare submission of unexplained data is no longer feasible. An efficient approach to stress testing must involve a comprehensive and annotated data tape, outstanding modeling capabilities, stringent process management, and clear-cut internal and external communications. The seven-step process introduced in this paper suggests that the real aspiration for senior managers should be to use a mandatory and apparently longlasting regulatory requirement to trigger improvements in how they make strategic decisions. Christopher Mazingo is a principal in McKinsey s New York office, Theodore Pepanides is a principal in the Athens office, Aleksander Petrov is a principal in the Milan office, and Gerhard Schröck is a principal in the Frankfurt office. Contact for distribution: Francine Martin Phone: +1 (514) [email protected]
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6 McKinsey Working Papers on Risk 21. Credit underwriting after the crisis Daniel Becker, Holger Harreis, Stefano E. Manzonetto, Marco Piccitto, and Michal Skalsky 22. Top-down ERM: A pragmatic approach to manage risk from the C-suite André Brodeur and Martin Pergler 23. Getting risk ownership right Arno Gerken, Nils Hoffmann, Andreas Kremer, Uwe Stegemann, and Gabriele Vigo 24. The use of economic capital in performance management for banks: A perspective Tobias Baer, Amit Mehta, and Hamid Samandari 25. Assessing and addressing the implications of new financial regulations for the US banking industry Del Anderson, Kevin Buehler, Rob Ceske, Benjamin Ellis, Hamid Samandari, and Greg Wilson 26. Basel III and European banking: Its impact, how banks might respond, and the challenges of implementation Philipp Härle, Erik Lüders, Theo Pepanides, Sonja Pfetsch, Thomas Poppensieker, and Uwe Stegemann 27. Mastering ICAAP: Achieving excellence in the new world of scarce capital Sonja Pfetsch, Thomas Poppensieker, Sebastian Schneider, and Diana Serova 28. Strengthening risk management in the US public sector Stephan Braig, Biniam Gebre, and Andrew Sellgren 29. Day of reckoning? New regulation and its impact on capital markets businesses Markus Böhme, Daniele Chiarella, Philipp Härle, Max Neukirchen, Thomas Poppensieker, and Anke Raufuss 30. New credit-risk models for the unbanked Tobias Baer, Tony Goland, and Robert Schiff 31. Good riddance: Excellence in managing wind-down portfolios Sameer Aggarwal, Keiichi Aritomo, Gabriel Brenna, Joyce Clark, Frank Guse, and Philipp Härle 32. Managing market risk: Today and tomorrow Amit Mehta, Max Neukirchen, Sonja Pfetsch, and Thomas Poppensieker 33. Compliance and Control 2.0: Unlocking potential through compliance and quality-control activities Stephane Alberth, Bernhard Babel, Daniel Becker, Georg Kaltenbrunner, Thomas Poppensieker, Sebastian Schneider, and Uwe Stegemann 34. Driving value from postcrisis operational risk management : A new model for financial institutions Benjamin Ellis, Ida Kristensen, Alexis Krivkovich, and Himanshu P. Singh 35. So many stress tests, so little insight: How to connect the engine room to the boardroom Miklos Dietz, Cindy Levy, Ernestos Panayiotou, Theodore Pepanides, Aleksander Petrov, Konrad Richter, and Uwe Stegemann 36. Day of reckoning for European retail banking Dina Chumakova, Miklos Dietz, Tamas Giorgadse, Daniela Gius, Philipp Härle, and Erik Lüders 37. First-mover matters: Building credit monitoring for competitive advantage Bernhard Babel, Georg Kaltenbrunner, Silja Kinnebrock, Luca Pancaldi, Konrad Richter, and Sebastian Schneider 38. Capital management: Banking s new imperative Bernhard Babel, Daniela Gius, Alexander Gräwert, Erik Lüders, Alfonso Natale, Björn Nilsson, and Sebastian Schneider 39. Commodity trading at a strategic crossroad Jan Ascher, Paul Laszlo, and Guillaume Quiviger 40. Enterprise risk management: What s different in the corporate world and why Martin Pergler 41. Between deluge and drought: The divided future of European bank-funding markets Arno Gerken, Frank Guse, Matthias Heuser, Davide Monguzzi, Olivier Plantefeve, and Thomas Poppensieker 42. Risk-based resource allocation: Focusing regulatory and enforcement efforts where they are needed the most Diana Farrell, Biniam Gebre, Claudia Hudspeth, and Andrew Sellgren 43. Getting to ERM: A road map for banks and other financial institutions Rob McNish, Andreas Schlosser, Francesco Selandari, Uwe Stegemann, and Joyce Vorholt 44. Concrete steps for CFOs to improve strategic risk management Wilson Liu and Martin Pergler 45. Between deluge and drought: Liquidity and funding for Asian banks Alberto Alvarez, Nidhi Bhardwaj, Frank Guse, Andreas Kremer, Alok Kshirsagar, Erik Lüders, Uwe Stegemann, and Naveen Tahilyani 46. Managing third-party risk in a changing regulatory environment Dmitry Krivin, Hamid Samandari, John Walsh, and Emily Yueh 47. Next-generation energy trading: An opportunity to optimize Sven Heiligtag, Thomas Poppensieker, and Jens Wimschulte 48. Between deluge and drought: The future of US bank liquidity and funding Kevin Buehler, Peter Noteboom, and Dan Williams 49. The hypotenuse and corporate risk modeling Martin Pergler 50. Strategic choices for midstream gas companies: Embracing Gas Risk Cosimo Corsini, Sven Heiligtag, and Dieuwert Inia
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