UBS Pillar 3 Report As of 30 September 2019
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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. -
Impact of Basel I, Basel II, and Basel III on Letters of Credit and Trade Finance
Impact of Basel I, Basel II, and Basel III on Letters of Credit and Trade Finance Requirement Basel I Basel II Basel III 2013 2015 2019 Common Equity 2.0% of 3.5% of RWA 4.5% of RWA 4.5% of RWA RWA Tier 1 Capital 4.0% of 4.0% of 4.5% of RWA 6.0% of RWA 6.0% of RWA RWA RWA Total Capital 8.0% of 8.0% of 8.0% of RWA 8.0% of RWA 8.0% of RWA RWA RWA Capital Conversion -0- -0- +2.5% of RWA Buffer Leverage Ratio Observation Observation (4% of direct assets) (based on Total Capital) 3% of total direct and contingent assets Counter Cyclical Buffer +Up to 2.5% of RWA Liquidity Coverage Observation 30 days 30 days Net Stable Funding Observation Observation 1 year Additional Loss +1% to 2.5% of RWA Absorbency Color Code Key (US Applicability): (Applies only in the US) In the US, applies only to “Large, Internationally-Active Banks” Not yet implemented in the US Depending on the bank and the point in the economic cycle, under Basel III, the total capital requirement for a bank in 2019 may be as much as 15.5% of Risk-Weighted Assets (“RWA”), compared with 8% under Basel I and Basel II. The amount of Risk-Weighted Assets (“RWA”) is computed by multiplying the amount of each asset and contingent asset by a risk weighting and a Credit Conversion Factor (“CCF”) Under Basel I, risk weightings are set: 0% for sovereign obligors, 20% for banks where tenors ≤ one year, 50% for municipalities and residential mortgages, 100% for all corporate obligors Under Basel II, risk weightings are based on internal or external (rating agency) risk ratings with no special distinction for banks; capital requirements for exposures to banks are increased by as much as 650% (from 20% to as much as 150%) The Credit Conversion Factor for Letters of Credit varies under Basel I vs. -
DIVIDEND GROWERS DOMINATE OTHER DIVIDEND CATEGORIES June 7, 2021
DIVIDEND GROWERS DOMINATE OTHER DIVIDEND CATEGORIES June 7, 2021 Dividend growers outperformed all dividend categories for the past 48 1/4 years with less risk. This is our conclusion based on data provided by Ned Davis Research. The research focuses on dividend payers, non-dividend payers, and dividend cutters. Note that the pattern of dividend growers outperformance holds for both the entire period of analysis and each sub-period (First Table). It also holds that growers experienced lower volatility for both the entire period and each sub-period (Second Table). In this note, we address why we think this phenomenon exists and what it could mean to investors. RETURN BY DIVIDEND CATEGORY (ANNUAL) Period Increased Paid No Change Not Paid Cut 1973-79 5.9% 5.3% 4.9% 1.7% -3.9% 1980-89 17.8% 16.3% 12.8% 8.6% 8.4% 1990-99 13.2% 12.0% 9.4% 10.3% 6.3% 2000-09 3.5% 2.4% 0.3% -6.5% -12.2% 2010-19 12.9% 11.6% 7.9% 9.3% -1.1% 1973-April 21 10.6% 9.5% 7.0% 4.8% -0.8% VOLATILITY BY DIVIDEND CATEGORY (ANNUAL) Period Increased Paid No Change Not Paid Cut 1973-79 19.2% 19.5% 20.7% 25.5% 23.7% 1980-89 17.3% 17.6% 18.9% 21.2% 21.5% 1990-99 13.9% 13.9% 14.4% 18.5% 17.1% 2000-09 15.9% 18.1% 20.1% 27.2% 31.8% 2010-19 12.7% 13.4% 15.8% 16.1% 21.9% 1973-April 21 16.1% 16.9% 18.5% 22.2% 25.1% Source: Ned Davis Research; WCA WHY DIVIDEND GROWERS GENERATE SUPERIOR RISK-ADJUSTED RETURNS We believe there are five main reasons why investors should prefer dividend growers based on years of research and study. -
Use of Leverage, Short Sales, and Options by Mutual Funds
Use of Leverage, Short Sales, and Options by Mutual Funds Paul Calluzzo, Fabio Moneta, and Selim Topaloglu* This draft: March 2017 Abstract We study the use of leverage, short sales, and options by equity mutual funds. Consistent with agency-induced motives for the use of these complex instruments, we find that they are often used by poorly monitored funds, and are associated with poor outcomes for investors such as lower performance, higher idiosyncratic risk, more negative skewness, greater kurtosis, and higher fees. Consistent with moral hazard, we also find that mutual funds that use these instruments hold riskier equity positions. Mutual funds attempt to use complex instruments to reduce the risk of their portfolios but in an imperfect and costly way. JEL Classification: G11, G23 Keywords: mutual funds, leverage, short sales, options, complex instruments, fees, performance, risk * Smith School of Business, Queen's University, 143 Union Street, Kingston, Ontario K7L 3N6, Canada. Emails: [email protected], [email protected], and [email protected]. We thank George Aragon, Laurent Barras and seminar participants at the 2nd Smith-Ivey Finance Workshop and the 2016 Telfer Annual Conference on Accounting and Finance for their helpful comments. Electronic copy available at: https://ssrn.com/abstract=2938146 I can resist anything except temptation. -Oscar Wilde 1. Introduction Over the past fifteen years there has been a rise in the complexity of mutual funds as more funds are given the authority to use leverage, short sales, and options. Over this period 42.5% of domestic equity funds have reported using at least one of these instruments. -
Leverage Networks and Market Contagion
Leverage Networks and Market Contagion Jiangze Bian, Zhi Da, Dong Lou, Hao Zhou∗ First Draft: June 2016 This Draft: March 2019 ∗Bian: University of International Business and Economics, e-mail: [email protected]. Da: University of Notre Dame, e-mail: [email protected]. Lou: London School of Economics and CEPR, e-mail: [email protected]. Zhou: PBC School of Finance, Tsinghua University, e-mail: [email protected]. We are grateful to Matthew Baron (discussant), Markus Brunnermeier (discussant), Adrian Buss (discus- sant), Agostino Capponi, Vasco Carvalho, Tuugi Chuluun (discussant), Paul Geertsema (discussant), Denis Gromb (discussant), Harald Hau, Zhiguo He (discussant), Harrison Hong, Jennifer Huang (discussant), Wenxi Jiang (discussant), Bige Kahraman (discussant), Ralph Koijen, Guangchuan Li, Fang Liang (discus- sant), Shu Lin (discussant), Xiaomeng Lu (discussant), Ian Martin, Per Mykland, Stijn Van Nieuwerburgh, Carlos Ramirez, L´aszl´oS´andor(discussant), Andriy Shkilko (discussant), Elvira Sojli, and seminar partic- ipants at Georgetown University, Georgia Institute of Technology, London School of Economics, Michigan State University, Rice University, Southern Methodist University, Stockholm School of Economics, Texas Christian University, Tsinghua University, UIBE, University of Hawaii, University of Houston, University of Miami, University of South Florida, University of Zurich, Vienna Graduate School of Finance, Washington University in St. Louis, 2016 China Financial Research Conference, 2016 Conference on the Econometrics -
Basel III: a Global Regulatory Framework for More Resilient Banks and Banking Systems
This standard has been integrated into the consolidated Basel Framework: https://www.bis.org/basel_framework/ Basel Committee on Banking Supervision Basel III: A global regulatory framework for more resilient banks and banking systems December 2010 (rev June 2011) Copies of publications are available from: Bank for International Settlements Communications CH-4002 Basel, Switzerland E-mail: [email protected] Fax: +41 61 280 9100 and +41 61 280 8100 © Bank for International Settlements 2010. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISBN print: 92-9131-859-0 ISBN web: 92-9197-859-0 Contents Contents ...................................................................................................................................3 Introduction...............................................................................................................................1 A. Strengthening the global capital framework ....................................................................2 1. Raising the quality, consistency and transparency of the capital base ..................2 2. Enhancing risk coverage........................................................................................3 3. Supplementing the risk-based capital requirement with a leverage ratio...............4 4. Reducing procyclicality and promoting countercyclical buffers ..............................5 Cyclicality of the minimum requirement .................................................................5 Forward -
Leverage and the Beta Anomaly
Downloaded from https://doi.org/10.1017/S0022109019000322 JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS COPYRIGHT 2019, MICHAEL G. FOSTER SCHOOL OF BUSINESS, UNIVERSITY OF WASHINGTON, SEATTLE, WA 98195 doi:10.1017/S0022109019000322 https://www.cambridge.org/core Leverage and the Beta Anomaly Malcolm Baker, Mathias F. Hoeyer, and Jeffrey Wurgler * . IP address: 199.94.10.45 Abstract , on 13 Dec 2019 at 20:01:41 The well-known weak empirical relationship between beta risk and the cost of equity (the beta anomaly) generates a simple tradeoff theory: As firms lever up, the overall cost of cap- ital falls as leverage increases equity beta, but as debt becomes riskier the marginal benefit of increasing equity beta declines. As a simple theoretical framework predicts, we find that leverage is inversely related to asset beta, including upside asset beta, which is hard to ex- plain by the traditional leverage tradeoff with financial distress that emphasizes downside risk. The results are robust to a variety of specification choices and control variables. , subject to the Cambridge Core terms of use, available at I. Introduction Millions of students have been taught corporate finance under the assump- tion of the capital asset pricing model (CAPM) and integrated equity and debt markets. Yet, it is well known that the link between textbook measures of risk and realized returns in the stock market is weak, or even backward. For example, a dollar invested in a low beta portfolio of U.S. stocks in 1968 grows to $70.50 by 2011, while a dollar in a high beta portfolio grows to just $7.61 (see Baker, Bradley, and Taliaferro (2014)). -
Chapter 13 Lecture: Leverage
CHAPTERCHAPTER 13:13: LEVERAGE.LEVERAGE. (The use of debt) 1 The analogy of physical leverage & financial leverage... A Physical Lever... 500 lbs 2 feet 5 feet 200 lbs LIFTS "Leverage Ratio" = 500/200 = 2.5 “Give me a place to stand, and I will move the earth.” - Archimedes (287-212 BC) 2 Financial Leverage... $4,000,000 EQUITY BUYS INVESTMENT $10,000,000 PROPERTY "Leverage Ratio" = $10,000,000 / $4,000,000 = 2.5 Equity = $4,000,000 Debt = $6,000,000 3 Terminology... “Leverage” “Debt Value”, “Loan Value” (L) (or “D”). “Equity Value” (E) “Underlying Asset Value” (V = E+L): "Leverage Ratio“ = LR = V / E = V / (V-L) = 1/(1-L/V) (Not the same as the “Loan/Value Ratio”: L / V,or “LTV” .) “Risk” The RISK that matters to investors is the risk in their total return, related to the standard deviation (or range or spread) in that return. 4 Leverage Ratio & Loan-to-Value Ratio 25 20 1 LR = 1−LTV 15 LR 10 5 0 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% LTV 5 Leverage Ratio & Loan-to-Value Ratio 100% 90% 80% 70% 1 60% LTV =1− LR 50% LTV 40% 30% 20% 10% 0% 0.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 LR 6 Effect of Leverage on Risk & Return (Numerical Example)… Example Property & Scenario Characteristics: Current (t=0) values (known for certain): E0[CF1] = $800,000 V0 = $10,000,000 Possible Future Outcomes are risky (next year, t=1): "Pessimistic" scenario (1/2 chance): $11.2M CF1 = $700,000; V1 = $9,200,000. -
Basel Ii/Iii Implementation Roadmap for the Eastern Caribbean Currency Union
BASEL II/III IMPLEMENTATION ROADMAP FOR THE EASTERN CARIBBEAN CURRENCY UNION Bank Supervision Department EASTERN CARIBBEAN CENTRAL BANK ST KITTS BASEL II/III IMPLEMENTATION ROADMAP FOR THE EASTERN CARIBBEAN CURRENCY UNION 1.0 PURPOSE This Roadmap provides an overview of the Eastern Caribbean Central Bank’s (ECCB/the Central Bank) Basel II/III implementation programme for the Eastern Caribbean Currency Union (ECCU). The document outlines the Central Bank’s approach towards implementation, the implementation options selected and key deliverables/activities. The Roadmap is intended to guide the expectations and actions of all stakeholders associated with the Basel II/III implementation process. 2.0 INTRODUCTION The ECCB is committed to implementing certain aspects of Basel II/III in the ECCU for computing the capital adequacy of institutions licenced under the Banking Act 2015 (the Act), in accordance with Sections 46 and 47 of the Act1. Towards this end, the ECCB established a dedicated team (Basel Implementation Group) for spearheading the implementation effort and a Basel II/III Working Committee comprising of representatives from the ECCB, ECCU Bankers Association and commercial banks, for collaborating with the banking industry on an ongoing basis. The Central Bank sought comments on some draft standards2 in 2018 and plans to continue to deepen its interaction with licensees via a number of consultations and training sessions. Basel II/III constitutes a more comprehensive measure of capital adequacy than the existing Basel I. Basel II/III seeks to align regulatory capital requirements more closely with the underlying risks that banks face. The framework requires banks to assess the riskiness of their assets with respect to credit, market and operational risks and seeks to ensure that banks’ minimum capital requirements better reflect inherent risks in their portfolios, risk management practices and accompanying disclosures to the public. -
The Great Leverage 2.0? a Tale of Different Indicators of Corporate Leverage Falk Bräuning and J
Research Department April 2, 2020 Current Policy Perspectives The Great Leverage 2.0? A Tale of Different Indicators of Corporate Leverage Falk Bräuning and J. Christina Wang Many policymakers have expressed concerns about the rise in nonfinancial corporate leverage and the risks this poses to financial stability, since (1) high leverage raises the odds of firms becoming a source of adverse shocks, and (2) high leverage amplifies the role of firms in propagating other adverse shocks. This policy brief examines alternative indicators of leverage, focusing especially on the somewhat disparate signals they send regarding the current state of indebtedness of nonfinancial corporate businesses. Even though the aggregate nonfinancial corporate debt-to-income ratio is at a historical high, these firms’ ability to service the debt, as measured by the interest coverage ratio, looks healthy. A simple model shows that this pattern can be consistent with firms’ optimal choice of leverage in response to an exogenous decline in interest rates. On the other hand, the model also reveals that the fall in the interest coverage ratio due to a given yield increase is magnified when interest rates are at low levels. The implication is that the elevated nonfinancial corporate debt-to-income ratio that has been present in recent years raises the downside risk of firms becoming unable to service their debt following any adverse shock, such as a decline in income or an increase in risk premia. 1. Introduction In recent years, US policymakers have repeatedly expressed concerns about the rising leverage of nonfinancial corporate businesses and the risks this poses to financial stability and the real economy. -
1 Solving the Present Crisis and Managing the Leverage Cycle John Geanakoplos We Are at the Acute Crisis Stage of a Leverage
Solving the Present Crisis and Managing the Leverage Cycle John Geanakoplos1 We are at the acute crisis stage of a leverage cycle, a very big cycle. I write to propose a plan with concrete steps that the government could take to address the severe financial condition that we now find ourselves in. It is critical that any rescue plan be clear and transparent, implementable and not subject to fraud, and comprehensive enough to succeed and to convince the public it will succeed. The law already enacted by Congress was admittedly an emergency measure designed to staunch further immediate hemorrhaging. What to do next is the question; understanding how we got here will help us find the right set of answers. The leverage cycle is a recurring phenomenon in American financial history. Most recently, one ended in the derivatives crisis in 1994 that bankrupted Orange County, and another ended in the Emerging Markets-mortgage crisis of 1998 that bankrupted Long Term Capital. A proper understanding of the origins of the cycle shows the way to manage it and to deal with the final crisis stage. A critical aspect of the leverage cycle is that collateral margin rates change. Two years ago a home buyer could make a 5% downpayment on a house, and borrow the other 95%. Now he must put 25% down. Two years ago a mortgage security buyer could put 3% or 10% down, borrowing the rest. Now he must pay 100% in cash. All leverage cycles end with (1) bad news creating more uncertainty and disagreement, (2) sharply increasing collateral margin rates, and (3) losses and bankruptcies among the leveraged optimists. -
Powerful XVA Analytics. It's in Our DNA
Powerful XVA Analytics. It’s in Our DNA. Comprehensive XVA Management Built on the Best Analytics Numerix Oneview puts the industry’s most sophisticated analytics at the core of your XVA desk. This analytic DNA empowers central desks to confidently manage counterparty exposures, integrate XVAs into deal prices, and execute even the most complex deals at the right price. ONE BEST PRICE ACTIVE MANAGEMENT Fast and accurate pricing, Proactively manage desk XVA analysis, exposure analysis, positions, analyze XVA Greeks and cheapest to trade, and regulatory possible hedges, understand P&Ls, capital analysis on any OTC derivative ONEVIEW FOR review CSAs for pricing and risk impacts, trade, from vanilla to exotic CENTRAL XVA and manage collateral/margin. MANAGEMENT OF OTC DERIVATIVES PORTFOLIOS RISK MANAGEMENT CAPITAL OPTIMIZATION Accurately measure, manage Minimize capital charges and mitigate counterparty credit risk for Basel III and and market risk across your SA-CCR compliance OTC derivatives portfolios. Profitable Decisions Demand Powerful Insights. XVA desks need fast and accurate views into the profitability and risks of their derivative business. Oneview’s next-generation technology provides the edge they need to compete and win in their markets. Oneview’s intelligent front-to-risk capabilities are powered by the most comprehensive analytic library in OTC derivatives and structured products, which includes our gold-standard hybrid model and our robust Monte Carlo engine. Designed for the evolution of the capital markets, Oneview was built for complex calculations, is scalable and cloud-ready—empowering unparalleled accuracy, enabling real-time calculations and unleashing dynamic custom reporting and analysis capabilities. All the insights you need, readily available at your fingertips.