5 Key Credit Risk Factors to Consider When Assessing Alternative
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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. -
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. -
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. -
HIGH YIELD OR “JUNK' BONDS, HAVEN OR HORROR by Mason A
HIGH YIELD OR “JUNK’ BONDS, HAVEN OR HORROR By Mason A. Dinehart III, RFC A high yield, or “junk” bond is a bond issued by a company that is considered to be a higher credit risk. The credit rating of a high yield bond is considered “speculative” grade or below “investment grade”. This means that the chance of default with high yield bonds is higher than for other bonds. Their higher credit risk means that “junk” bond yields are higher than bonds of better credit quality. Studies have demonstrated that portfolios of high yield bonds have higher returns than other bond portfolios, suggesting that the higher yields more than compensate for their additional default risk. It should be noted that “unrated” bonds are legally in the “junk” category and may or may not be speculative in terms of credit quality. High yield or “junk” bonds get their name from their characteristics. As credit ratings were developed for bonds, the credit agencies created a grading system to reflect the relative credit quality of bond issuers. The highest quality bonds are “AAA” and the credit scale descends to “C” and finally to “D” or default category. Bonds considered to have an acceptable risk of default are “investment grade” and encompass “BBB” bonds (Standard & Poors) or “Baa” bonds (Moody’s) and higher. Bonds “BB” and lower are called “speculative grade” and have a higher risk of default. Rulemakers soon began to use this demarcation to establish investment policies for financial institutions, and government regulation has adopted these standards. Since most investors were restricted to investment grade bonds, speculative grade bonds soon developed negative connotations and were not widely held in investment portfolios. -
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 -
Understanding Alpha Versus Beta in High Yield Bond Investing
PERITUS ASSET MANAGEMENT, LLC Market Commentary Independent Credit Research – Leveraged Finance – July 2012 Understanding Alpha versus Beta in High Yield Bond Investing Investors have come to recognize that there is a secular change occurring in financial markets. After the 2008 meltdown, we have watched equities stage an impressive rally off the bottom, only to peter out. There is no conviction and valuations are once again stretched given the lack of growth as the world economy remains on shaky ground. In another one of our writings (“High Yield Bonds versus Equities”), we discussed our belief that U.S. businesses would plod along, but valuations would continue their march toward the lower end of their historical range. So far, this looks like the correct call. Europe still hasn’t been fixed, the China miracle is slowing and, perhaps, the commodity supercycle is also in the later innings. The amount of debt assumed by the developed world is unsustainable so deleveraging began a few years ago. These are not short or pleasant cycles and both governments and individuals will be grumpy participants in this event. It simply means that economic growth will be subdued for years to come. I have never really been able to understand economic growth rates that are significantly ahead of the population growth anyway…oh yeah, the productivity miracle. I have written chapter and verse on the history of financial markets and where returns have come from: yield. Anyone with access to the internet can verify that dividends, dividend growth and dividend re-investment are what have driven stock returns over the decades. -
Systemic Moral Hazard Beneath the Financial Crisis
Seton Hall University eRepository @ Seton Hall Law School Student Scholarship Seton Hall Law 5-1-2014 Systemic Moral Hazard Beneath The inF ancial Crisis Xiaoming Duan Follow this and additional works at: https://scholarship.shu.edu/student_scholarship Recommended Citation Duan, Xiaoming, "Systemic Moral Hazard Beneath The inF ancial Crisis" (2014). Law School Student Scholarship. 460. https://scholarship.shu.edu/student_scholarship/460 The financial crisis in 2008 is the greatest economic recession since the "Great Depression of the 1930s." The federal government has pumped $700 billion dollars into the financial market to save the biggest banks from collapsing. 1 Five years after the event, stock markets are hitting new highs and well-healed.2 Investors are cheering for the recovery of the United States economy.3 It is important to investigate the root causes of this failure of the capital markets. Many have observed that the sudden collapse of the United States housing market and the increasing number of unqualified subprime mortgages are the main cause of this economic failure. 4 Regulatory responses and reforms were requested right after the crisis occurred, as in previous market upheavals where we asked ourselves how better regulation could have stopped the market catastrophe and prevented the next one. 5 I argue that there is an inherent and systematic moral hazard in our financial systems, where excessive risk-taking has been consistently allowed and even to some extent incentivized. Until these moral hazards are eradicated or cured, our financial system will always face the risk of another financial crisis. 6 In this essay, I will discuss two systematic moral hazards, namely the incentive to take excessive risk and the incentive to underestimate risk. -
Credit Risk Models
Lecture notes on risk management, public policy, and the financial system Credit risk models Allan M. Malz Columbia University Credit risk models Outline Overview of credit risk analytics Single-obligor credit risk models © 2020 Allan M. Malz Last updated: February 8, 2021 2/32 Credit risk models Overview of credit risk analytics Overview of credit risk analytics Credit risk metrics and models Intensity models and default time analytics Single-obligor credit risk models 3/32 Credit risk models Overview of credit risk analytics Credit risk metrics and models Key metrics of credit risk Probability of default πt defined over a time horizon t, e.g. one year Exposure at default: amount the lender can lose in default For a loan or bond, par value plus accrued interest For OTC derivatives, also driven by market value Net present value (NPV) 0 ( counterparty risk) S → But exposure at default 0 ≥ Recovery: creditor generally loses fraction of exposure R < 100 percent Loss given default (LGD) equals exposure minus recovery (a fraction 1 − R) Expected loss (EL) equals default probability × LGD or fraction πt × (1 − R) Credit risk management focuses on unexpected loss Credit Value-at-Risk related to a quantile of the credit return distribution Differs from market risk in excluding EL Credit VaR at confidence level of α defined as: 1 − α-quantile of credit loss distribution − EL 4/32 Credit risk models Overview of credit risk analytics Credit risk metrics and models Estimating default probabilities Risk-neutral default probabilities based on market -
Country Risk Analysis
12/13/2019 COUNTRY RISK ANALYSIS Country Analysis • Active allocation strategy requires the forecast of changes in macroeconomic variables: currencies, interest rates, & stock markets. Key variable: Choice of a country (currency). But currency forecasting is difficult. • Q: How do we select a country? To help this process, economists monitor a large number of variables: - anticipated real growth (probably major influence on a national mkt.) - monetary and fiscal policy - wage and employment rigidities - social and political situations - competitiveness 1 12/13/2019 • Investment banks and consulting firms produce “Country Reports,” trying to summarize all the relevant information that an investor/firm needs to make an investment decision in a given country. • Country reports are brief and they give an investor an overall idea of the business, political, and economic climate. • This is the Class Project: Write a professional country report. Country Risk Definition: Country Risk Country risk (CR) is the risk attached to a borrower by virtue of its location in a particular country. Example: ConocoPhillips invested in Venezuela in the 1990s to help develop the Petrozuata, Hamaca and Coroco projects, it added an additional risks to its investment portfolio: Venezuelan country risk. Country Risk? In 2007, the Venezuelan government expropriated all ConocoPhillips investments without fair compensation. ¶ Note: CR is different than FX risk. CR risk can be zero and FX can be huge for a given country. The reverse, though unusual, can also happen. 2 12/13/2019 CR reflects the (potentially) negative impact of a country’s economic and political situation on an MNC’s or an investor’s cash flows. -
Capital Adequacy Requirements (CAR)
Guideline Subject: Capital Adequacy Requirements (CAR) Chapter 3 – Credit Risk – Standardized Approach Effective Date: November 2017 / January 20181 The Capital Adequacy Requirements (CAR) for banks (including federal credit unions), bank holding companies, federally regulated trust companies, federally regulated loan companies and cooperative retail associations are set out in nine chapters, each of which has been issued as a separate document. This document, Chapter 3 – Credit Risk – Standardized Approach, should be read in conjunction with the other CAR chapters which include: Chapter 1 Overview Chapter 2 Definition of Capital Chapter 3 Credit Risk – Standardized Approach Chapter 4 Settlement and Counterparty Risk Chapter 5 Credit Risk Mitigation Chapter 6 Credit Risk- Internal Ratings Based Approach Chapter 7 Structured Credit Products Chapter 8 Operational Risk Chapter 9 Market Risk 1 For institutions with a fiscal year ending October 31 or December 31, respectively Banks/BHC/T&L/CRA Credit Risk-Standardized Approach November 2017 Chapter 3 - Page 1 Table of Contents 3.1. Risk Weight Categories ............................................................................................. 4 3.1.1. Claims on sovereigns ............................................................................... 4 3.1.2. Claims on unrated sovereigns ................................................................. 5 3.1.3. Claims on non-central government public sector entities (PSEs) ........... 5 3.1.4. Claims on multilateral development banks (MDBs) -
Foundations of High-Yield Analysis
Research Foundation Briefs FOUNDATIONS OF HIGH-YIELD ANALYSIS Martin Fridson, CFA, Editor In partnership with CFA Society New York FOUNDATIONS OF HIGH-YIELD ANALYSIS Martin Fridson, CFA, Editor Statement of Purpose The CFA Institute Research Foundation is a not- for-profit organization established to promote the development and dissemination of relevant research for investment practitioners worldwide. Neither the Research Foundation, CFA Institute, nor the publication’s editorial staff is responsible for facts and opinions presented in this publication. This publication reflects the views of the author(s) and does not represent the official views of the CFA Institute Research Foundation. The CFA Institute Research Foundation and the Research Foundation logo are trademarks owned by The CFA Institute Research Foundation. CFA®, Chartered Financial Analyst®, AIMR- PPS®, and GIPS® are just a few of the trademarks owned by CFA Institute. To view a list of CFA Institute trademarks and the Guide for the Use of CFA Institute Marks, please visit our website at www.cfainstitute.org. © 2018 The CFA Institute Research Foundation. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the copyright holder. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional service. If legal advice or other expert assistance is required, the services of a competent professional should be sought.