Chapter 3: Risks in Banking
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Analysis of Securitized Asset Liquidity June 2017 an He and Bruce Mizrach1
Analysis of Securitized Asset Liquidity June 2017 An He and Bruce Mizrach1 1. Introduction This research note extends our prior analysis2 of corporate bond liquidity to the structured products markets. We analyze data from the TRACE3 system, which began collecting secondary market trading activity on structured products in 2011. We explore two general categories of structured products: (1) real estate securities, including mortgage-backed securities in residential housing (MBS) and commercial building (CMBS), collateralized mortgage products (CMO) and to-be-announced forward mortgages (TBA); and (2) asset-backed securities (ABS) in credit cards, autos, student loans and other miscellaneous categories. Consistent with others,4 we find that the new issue market for securitized assets decreased sharply after the financial crisis and has not yet rebounded to pre-crisis levels. Issuance is below 2007 levels in CMBS, CMOs and ABS. MBS issuance had recovered by 2012 but has declined over the last four years. By contrast, 2016 issuance in the corporate bond market was at a record high for the fifth consecutive year, exceeding $1.5 trillion. Consistent with the new issue volume decline, the median age of securities being traded in non-agency CMO are more than ten years old. In student loans, the average security is over seven years old. Over the last four years, secondary market trading volumes in CMOs and TBA are down from 14 to 27%. Overall ABS volumes are down 16%. Student loan and other miscellaneous ABS declines balance increases in automobiles and credit cards. By contrast, daily trading volume in the most active corporate bonds is up nearly 28%. -
Basel III: Post-Crisis Reforms
Basel III: Post-Crisis Reforms Implementation Timeline Focus: Capital Definitions, Capital Focus: Capital Requirements Buffers and Liquidity Requirements Basel lll 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 1 January 2022 Full implementation of: 1. Revised standardised approach for credit risk; 2. Revised IRB framework; 1 January 3. Revised CVA framework; 1 January 1 January 1 January 1 January 1 January 2018 4. Revised operational risk framework; 2027 5. Revised market risk framework (Fundamental Review of 2023 2024 2025 2026 Full implementation of Leverage Trading Book); and Output 6. Leverage Ratio (revised exposure definition). Output Output Output Output Ratio (Existing exposure floor: Transitional implementation floor: 55% floor: 60% floor: 65% floor: 70% definition) Output floor: 50% 72.5% Capital Ratios 0% - 2.5% 0% - 2.5% Countercyclical 0% - 2.5% 2.5% Buffer 2.5% Conservation 2.5% Buffer 8% 6% Minimum Capital 4.5% Requirement Core Equity Tier 1 (CET 1) Tier 1 (T1) Total Capital (Tier 1 + Tier 2) Standardised Approach for Credit Risk New Categories of Revisions to the Existing Standardised Approach Exposures • Exposures to Banks • Exposure to Covered Bonds Bank exposures will be risk-weighted based on either the External Credit Risk Assessment Approach (ECRA) or Standardised Credit Risk Rated covered bonds will be risk Assessment Approach (SCRA). Banks are to apply ECRA where regulators do allow the use of external ratings for regulatory purposes and weighted based on issue SCRA for regulators that don’t. specific rating while risk weights for unrated covered bonds will • Exposures to Multilateral Development Banks (MDBs) be inferred from the issuer’s For exposures that do not fulfil the eligibility criteria, risk weights are to be determined by either SCRA or ECRA. -
Asset Securitization
L-Sec Comptroller of the Currency Administrator of National Banks Asset Securitization Comptroller’s Handbook November 1997 L Liquidity and Funds Management Asset Securitization Table of Contents Introduction 1 Background 1 Definition 2 A Brief History 2 Market Evolution 3 Benefits of Securitization 4 Securitization Process 6 Basic Structures of Asset-Backed Securities 6 Parties to the Transaction 7 Structuring the Transaction 12 Segregating the Assets 13 Creating Securitization Vehicles 15 Providing Credit Enhancement 19 Issuing Interests in the Asset Pool 23 The Mechanics of Cash Flow 25 Cash Flow Allocations 25 Risk Management 30 Impact of Securitization on Bank Issuers 30 Process Management 30 Risks and Controls 33 Reputation Risk 34 Strategic Risk 35 Credit Risk 37 Transaction Risk 43 Liquidity Risk 47 Compliance Risk 49 Other Issues 49 Risk-Based Capital 56 Comptroller’s Handbook i Asset Securitization Examination Objectives 61 Examination Procedures 62 Overview 62 Management Oversight 64 Risk Management 68 Management Information Systems 71 Accounting and Risk-Based Capital 73 Functions 77 Originations 77 Servicing 80 Other Roles 83 Overall Conclusions 86 References 89 ii Asset Securitization Introduction Background Asset securitization is helping to shape the future of traditional commercial banking. By using the securities markets to fund portions of the loan portfolio, banks can allocate capital more efficiently, access diverse and cost- effective funding sources, and better manage business risks. But securitization markets offer challenges as well as opportunity. Indeed, the successes of nonbank securitizers are forcing banks to adopt some of their practices. Competition from commercial paper underwriters and captive finance companies has taken a toll on banks’ market share and profitability in the prime credit and consumer loan businesses. -
The Interest Rate Parity (IRP) Is a Theory Regarding the Relationship
What is the Interest Rate Parity (IRP)? The interest rate parity (IRP) is a theory regarding the relationship between the spot exchange rate and the expected spot rate or forward exchange rate of two currencies, based on interest rates. The theory holds that the forward exchange rate should be equal to the spot currency exchange rate times the interest rate of the home country, divided by the interest rate of the foreign country. Uncovered Interest Rate Parity vs Covered Interest Rate Parity The uncovered and covered interest rate parities are very similar. The difference is that the uncovered IRP refers to the state in which no-arbitrage is satisfied without the use of a forward contract. In the uncovered IRP, the expected exchange rate adjusts so that IRP holds. This concept is a part of the expected spot exchange rate determination. The covered interest rate parity refers to the state in which no-arbitrage is satisfied with the use of a forward contract. In the covered IRP, investors would be indifferent as to whether to invest in their home country interest rate or the foreign country interest rate since the forward exchange rate is holding the currencies in equilibrium. This concept is part of the forward exchange rate determination. What is the Interest Rate Parity (IRP) Equation? The covered and uncovered IRP equations are very similar, with the only difference being the substitution of the forward exchange rate for the expected spot exchange rate. The following shows the equation for the uncovered interest rate parity: The following -
Financial Literacy and Portfolio Diversification
WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli January 2009 University of Naples Federico II University of Salerno Bocconi University, Milan CSEF - Centre for Studies in Economics and Finance DEPARTMENT OF ECONOMICS – UNIVERSITY OF NAPLES 80126 NAPLES - ITALY Tel. and fax +39 081 675372 – e-mail: [email protected] WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli Abstract In this paper we focus on poor financial literacy as one potential factor explaining lack of portfolio diversification. We use the 2007 Unicredit Customers’ Survey, which has indicators of portfolio choice, financial literacy and many demographic characteristics of investors. We first propose test-based indicators of financial literacy and document the extent of portfolio under-diversification. We find that measures of financial literacy are strongly correlated with the degree of portfolio diversification. We also compare the test-based degree of financial literacy with investors’ self-assessment of their financial knowledge, and find only a weak relation between the two measures, an issue that has gained importance after the EU Markets in Financial Instruments Directive (MIFID) has required financial institutions to rate investors’ financial sophistication through questionnaires. JEL classification: E2, D8, G1 Keywords: Financial literacy, Portfolio diversification. Acknowledgements: We are grateful to the Unicredit Group, and particularly to Daniele Fano and Laura Marzorati, for letting us contribute to the design and use of the UCS survey. European University Institute and CEPR. Università di Napoli Federico II, CSEF and CEPR. Table of contents 1. Introduction 2. The portfolio diversification puzzle 3. The data 4. -
Personal Loans 101: Understanding Your Credit Risk Loans Have Some Risk for Both the Borrower and the Lender
PERSONAL LOANS 101: Understanding YoUr credit risk Loans have some risk for both the borrower and the lender. The borrower takes on the responsibilities and terms of paying back the loan. The lender’s risk is the chance of non-payment. Consumers can choose from several types of loans. As a borrower, you need to understand the type of loan you are considering and its possible risk. This brochure provides information to help you make a smart choice before applying for a loan. 2 It is important to review your financial situation to see if you can handle another monthly payment before applying for a loan. Creating a budget will help you apply for the loan that best meets your present and future needs. For an interactive budget, visit www.afsaef.org/budgetplanner or www.afsaef.org/personalloans101. You will need to show the lender that you can repay what you borrow, with interest. After you have made a budget, consider these factors, which maY redUce or add risk to a Loan. 3 abiLitY to repaY the Loan Is the lender evaluating your ability to repay the loan based on facts such as your credit history, current and expected income, current expenses, debt-to- income ratio (your expenses compared to your income) and employment status? This assessment, often called underwriting, helps determine if you can make the monthly payment and raises your chances of getting a loan to fit your needs that you can afford to repay. It depends on you providing complete and correct information to the lender. Testing “your ability to repay” and appropriate “underwriting” reduces your risk when taking out any type of loan. -
An Economic Capital Model Integrating Credit and Interest Rate Risk in the Banking Book 1
WORKING PAPER SERIES NO 1041 / APRIL 2009 AN ECONOMIC CAPITAL MODEL INTEGRATING CR EDIT AND INTEREST RATE RISK IN THE BANKING BOOK by Piergiorgio Alessandri and Mathias Drehmann WORKING PAPER SERIES NO 1041 / APRIL 2009 AN ECONOMIC CAPITAL MODEL INTEGRATING CREDIT AND INTEREST RATE RISK IN THE BANKING BOOK 1 by Piergiorgio Alessandri 2 and Mathias Drehmann 3 In 2009 all ECB publications This paper can be downloaded without charge from feature a motif http://www.ecb.europa.eu or from the Social Science Research Network taken from the €200 banknote. electronic library at http://ssrn.com/abstract_id=1365119. 1 The views and analysis expressed in this paper are those of the author and do not necessarily reflect those of the Bank of England or the Bank for International Settlements. We would like to thank Claus Puhr for coding support. We would also like to thank Matt Pritzker and anonymous referees for very helpful comments. We also benefited from the discussant and participants at the conference on the Interaction of Market and Credit Risk jointly hosted by the Basel Committee, the Bundesbank and the Journal of Banking and Finance. 2 Bank of England, Threadneedle Street, London, EC2R 8AH, UK; e-mail: [email protected] 3 Corresponding author: Bank for International Settlements, Centralbahnplatz 2, CH-4002 Basel, Switzerland; e-mail: [email protected] © European Central Bank, 2009 Address Kaiserstrasse 29 60311 Frankfurt am Main, Germany Postal address Postfach 16 03 19 60066 Frankfurt am Main, Germany Telephone +49 69 1344 0 Website http://www.ecb.europa.eu Fax +49 69 1344 6000 All rights reserved. -
Interest Rate Risk and Market Risk Lr024
INTEREST RATE RISK AND MARKET RISK LR024 Basis of Factors The interest rate risk is the risk of losses due to changes in interest rate levels. The factors chosen represent the surplus necessary to provide for a lack of synchronization of asset and liability cash flows. The impact of interest rate changes will be greatest on those products where the guarantees are most in favor of the policyholder and where the policyholder is most likely to be responsive to changes in interest rates. Therefore, risk categories vary by withdrawal provision. Factors for each risk category were developed based on the assumption of well matched asset and liability durations. A loading of 50 percent was then added on to represent the extra risk of less well-matched portfolios. Companies must submit an unqualified actuarial opinion based on asset adequacy testing to be eligible for a credit of one-third of the RBC otherwise needed. Consideration is needed for products with credited rates tied to an index, as the risk of synchronization of asset and liability cash flows is tied not only to changes in interest rates but also to changes in the underlying index. In particular, equity-indexed products have recently grown in popularity with many new product variations evolving. The same C-3 factors are to be applied for equity-indexed products as for their non-indexed counterparts; i.e., based on guaranteed values ignoring those related to the index. In addition, some companies may choose to or be required to calculate part of the RBC on Certain Annuities under a method using cash flow testing techniques. -
The Challenges of Risk Management in Diversified Financial Companies
Christine M. Cumming and Beverly J. Hirtle The Challenges of Risk Management in Diversified Financial Companies • Although the benefits of a consolidated, or n recent years, financial institutions and their supervisors firmwide, system of risk management are Ihave placed increased emphasis on the importance of widely recognized, financial firms have consolidated risk management. Consolidated risk traditionally taken a more segmented management—sometimes also called integrated or approach to risk measurement and control. enterprisewide risk management—can have many specific meanings, but in general it refers to a coordinated process for • The cost of integrating information across measuring and managing risk on a firmwide basis. Interest in business lines and the existence of regulatory consolidated risk management has arisen for a variety of barriers to moving capital and liquidity within reasons. Advances in information technology and financial a financial organization appear to have engineering have made it possible to quantify risks more discouraged firms from adopting consolidated precisely. The wave of mergers—both in the United States and risk management. overseas—has resulted in significant consolidation in the financial services industry as well as in larger, more complex financial institutions. The recently enacted Gramm-Leach- • In addition, there are substantial conceptual Bliley Act seems likely to heighten interest in consolidated risk and technical challenges to be overcome in management, as the legislation opens the door to combinations developing risk management systems that of financial activities that had previously been prohibited. can assess and quantify different types of risk This article examines the economic rationale for managing across a wide range of business activities. -
Operational Risk Management Guide
OPERATIONAL RISK MANAGEMENT GUIDE U.S. DEPARTMENT OF AGRICULTURE FOREST SERVICE 2020 Last Updated 02/26/2020 RISK MANAGEMENT COUNCIL IN COOPERATION WITH THE OFFICE OF SAFETY & OCCUPATIONAL HEALTH and THE NATIONAL AVIATION SAFETY COUNCIL Contents Contents ....................................................................................................................................................................................... 2 Executive Summary .................................................................................................................................................................. i Introduction ............................................................................................................................................................................... 1 What is Operational Risk Management? ................................................................................................................... 1 The Terminology of ORM ................................................................................................................................................ 1 Principles of ORM Application ........................................................................................................................................... 6 The Five-Step ORM Process ................................................................................................................................................ 7 Step 1: Identify Hazards .................................................................................................................................................. -
Financial Risk Management Insights CGI & Aalto University Collaboration
Financial Risk Management Insights CGI & Aalto University Collaboration Financial Risk Management Insights - CGI & Aalto University Collaboration ABSTRACT As worldwide economy is facing far-reaching impacts aggravated by the global COVID-19 pandemic, the financial industry faces challenges that exceeds anything we have seen before. Record unemployment and the likelihood of increasing loan defaults have put significant pressure on financial institutions to rethink their lending programs and practices. The good news is that financial sector has always adapted to new ways of working. Amidst the pandemic crisis, CGI decided to collaborate with Aalto University in looking for ways to challenge conventional ideas and coming up with new, innovative approaches and solutions. During the summer of 2020, Digital Business Master Class (DBMC) students at Aalto University researched the applicability and benefits of new technologies to develop financial institutions’ risk management. The graduate-level students with mix of nationalities and areas of expertise examined the challenge from multiple perspectives and through business design methods in cooperation with CGI. The goal was to present concept level ideas and preliminary models on how to predict and manage financial risks more effectively and real-time. As a result, two DBMC student teams delivered reports outlining the opportunities of emerging technologies for financial institutions’ risk assessments beyond traditional financial risk management. 2 CONTENTS Introduction 4 Background 5 Concept -
Asset Pricing with Liquidity Risk∗
Asset Pricing with Liquidity Risk∗ Viral V. Acharyay and Lasse Heje Pedersenz First Version: July 10, 2000 Current Version: September 24, 2004 Abstract This paper solves explicitly an equilibrium asset pricing model with liq- uidity risk — the risk arising from unpredictable changes in liquidity over time. In our liquidity-adjusted capital asset pricing model, a security's re- quired return depends on its expected liquidity as well as on the covariances of its own return and liquidity with market return and market liquidity. In addition, the model shows how a negative shock to a security's liquidity, if it is persistent, results in low contemporaneous returns and high predicted future returns. The model provides a simple, unified framework for under- standing the various channels through which liquidity risk may affect asset prices. Our empirical results shed light on the total and relative economic significance of these channels. ∗We are grateful for conversations with Andrew Ang, Joseph Chen, Sergei Davydenko, Fran- cisco Gomes, Joel Hasbrouck, Andrew Jackson, Tim Johnson, Martin Lettau, Anthony Lynch, Stefan Nagel, Lubos Pastor, Tano Santos, Dimitri Vayanos, Luis Viceira, Jeff Wurgler, and semi- nar participants at London Business School, London School of Economics, New York University, the National Bureau of Economic Research (NBER) Summer Institute 2002, the Five Star Confer- ence 2002, Western Finance Association Meetings 2003, and the Texas Finance Festival 2004. We are especially indebted to Yakov Amihud and to an anonymous referee for help and many valuable suggestions. All errors remain our own. yAcharya is at London Business School and is a Research Affiliate of the Centre for Eco- nomic Policy Research (CEPR).