How Important Is Financial Risk?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Revised Standards for Minimum Capital Requirements for Market Risk by the Basel Committee on Banking Supervision (“The Committee”)
A revised version of this standard was published in January 2019. https://www.bis.org/bcbs/publ/d457.pdf Basel Committee on Banking Supervision STANDARDS Minimum capital requirements for market risk January 2016 A revised version of this standard was published in January 2019. https://www.bis.org/bcbs/publ/d457.pdf This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2015. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISBN 978-92-9197-399-6 (print) ISBN 978-92-9197-416-0 (online) A revised version of this standard was published in January 2019. https://www.bis.org/bcbs/publ/d457.pdf Minimum capital requirements for Market Risk Contents Preamble ............................................................................................................................................................................................... 5 Minimum capital requirements for market risk ..................................................................................................................... 5 A. The boundary between the trading book and banking book and the scope of application of the minimum capital requirements for market risk ........................................................................................................... 5 1. Scope of application and methods of measuring market risk ...................................................................... 5 2. Definition of the trading book .................................................................................................................................. -
Perspectives on the Equity Risk Premium – Siegel
CFA Institute Perspectives on the Equity Risk Premium Author(s): Jeremy J. Siegel Source: Financial Analysts Journal, Vol. 61, No. 6 (Nov. - Dec., 2005), pp. 61-73 Published by: CFA Institute Stable URL: http://www.jstor.org/stable/4480715 Accessed: 04/03/2010 18:01 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/action/showPublisher?publisherCode=cfa. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. CFA Institute is collaborating with JSTOR to digitize, preserve and extend access to Financial Analysts Journal. http://www.jstor.org FINANCIAL ANALYSTS JOURNAL v R ge Perspectives on the Equity Risk Premium JeremyJ. -
A Theory of Speculative Bubbles, the Fed Model, and Self-Fulfilling
Monetary Exchange in Over-the-Counter Markets: A Theory of Speculative Bubbles, the Fed Model, and Self-fulfilling Liquidity Crises Ricardo Lagos∗ Shengxing Zhangy New York University London School of Economics September 2014 Abstract We develop a model of monetary exchange in over-the-counter markets to study the ef- fects of monetary policy on asset prices and standard measures of financial liquidity, such as bid-ask spreads, trade volume, and the incentives of dealers to supply immediacy, both by participating in the market-making activity and by holding asset inventories on their own account. The theory predicts that asset prices carry a speculative premium that reflects the asset's marketability and depends on monetary policy as well as the microstructure of the market where it is traded. These liquidity considerations imply a positive correlation between the real yield on stocks and the nominal yield on Treasury bonds|an empirical observation long regarded anomalous. The theory also exhibits rational expectations equi- libria with recurring belief driven events that resemble liquidity crises, i.e., times of sharp persistent declines in asset prices, trade volume, and dealer participation in market-making activity, accompanied by large increases in spreads and abnormally long trading delays. Keywords: Money; Liquidity; OTC markets; Asset prices; Fed model; Financial crises JEL classification: D83, E31, E52, G12 ∗Lagos thanks the support from the C.V. Starr Center for Applied Economics at NYU. yZhang thanks the support from the Centre -
Update on the Insurance Industry's Use of Derivatives and Exposure Trends
2/11/2021 Update on the Insurance Industry's Use of Derivatives and Exposure Trends The NAIC’s Capital Markets Bureau monitors developments in the capital markets globally and analyzes their potential impact on the investment portfolios of US insurance companies. A list of archived Capital Markets Bureau Special Reports is available via the index Update on the Insurance Industry's Use of Derivatives and Exposure Trends The NAIC Capital Markets Bureau published several special reports in the past few years concerning derivatives, providing insight into exposure trends, credit default swaps, hedging, changing reporting requirements, and market developments resulting from enactment of the federal Dodd-Frank Wall Street Reform and Consumer Protection Act (Dodd-Frank) and other global initiatives. This report reviews U.S. insurers' derivatives holdings and exposure trends as of year-end 2015. Key Points: Derivatives activity in the U.S. insurance industry leveled off in 2015. The total notional value of derivative positions was virtually unchanged over year-end 2014, at $2 trillion. An overwhelming 94% of total industry notional value pertains to hedging, virtually unchanged since year-end 2010, when the Capital Markets Bureau began analyzing the data. Out of that 94%, 49% pertained to interest rate hedges, same as a year earlier, while 24% pertained to equity risk. Life insurers accounted for approximately 95% of total notional value, compared to 94% at year-end 2014. Property/casualty (P/C) insurers accounted for 5%, down from 6% a year earlier. Derivatives exposure in the health and fraternal segments was minimal, and title insurers reported no exposure. -
Midyear Outlook 2021: Picking up Speed, We Help You Keep Your Eyes on the Road Ahead
LPL RESEARCH PRESENTSMIDYEAR OUTLOOK 2021 PICKING UP SPEED PICKING UP SPEED INTRODUCTION HE U.S. ECONOMY powered forward faster than nearly anyone had expected in the first half of 2021. As we were writing our Outlook for 2021 in late 2020, our economic views were significantly more optimistic than consensus forecasts—but in retrospect, not nearly optimistic enough. Our theme was getting back on the road again and powering forward. But as the economy accelerates to what may be its best year of growth in decades, power has been converted to speed and we’re trading highways for raceways. Speed can be exhilarating, but it can also be dangerous. Traffic becomes a test of nerves. Turning a sharp corner creates added stress on drivers. Tires wear, and engines can overheat. As we look ahead to the second half of 2021, and even into 2022, we see an economy still on the move before it slowly starts to settle back into historical norms. The speed is thrilling and the overall economic picture remains sound, likely supporting strong profit growth and potential stock market gains. But the pace of reopening also creates new hazards: Supply chains are stressed, some labor shortages have emerged, inflation is heating up—at least temporarily—and asset prices look expensive compared to historical figures. Markets are always forward looking, and in LPL Research’s Midyear Outlook 2021: Picking Up Speed, we help you keep your eyes on the road ahead. We focus on the next 6–12 months, when markets may be looking at which latecomers to the rally have the strength to extend their run, and whether there may be new beneficiaries of the global reopening. -
1Q15 Basel Pillar 3 Report
PILLAR 3 REGULATORY CAPITAL DISCLOSURES For the quarterly period ended March 31, 2015 Table of Contents Disclosure map 1 Introduction 2 Report overview 2 Basel III overview 2 Enterprise-wide risk management 3 Risk governance 3 Regulatory capital 4 Components of capital 4 Risk-weighted assets 5 Capital adequacy 6 Supplementary leverage ratio 7 Credit risk 8 Retail credit risk 10 Wholesale credit risk 12 Counterparty credit risk 13 Securitization 14 Equity risk in the banking book 17 Market risk 18 Material portfolio of covered positions 18 Value-at-risk 19 Regulatory market risk capital models 20 Independent review 23 Economic-value stress testing 23 Operational risk 24 Capital measurement 25 Interest rate risk in the banking book 26 Supplementary leverage ratio 27 Appendix 28 Valuation process 28 Model risk management 28 References 28 DISCLOSURE MAP Pillar 3 Report page 1Q15 Form 10-Q page 2014 Form 10-K page Pillar 3 Requirement Description reference reference reference Capital structure Terms and conditions of capital instruments 4 1, 277, 279 Capital components 4 76 174, 279 Capital adequacy Capital adequacy assessment process 6 55 146, 152 Risk-weighted assets by risk stripe 5 Capital ratios 7 139 285 Credit risk: general 110, 202, 230, 238, 258, disclosures Policies and practices 8 33 287 Credit risk exposures 9 33, 53 110, 138 Retail Distribution of exposure 9 34, 114, 123, 142 113, 243, 254, 288 Impaired loans and ALLL 9 115, 126 244, 260 Wholesale Distribution of exposure 9 40, 106, 124, 142 120, 230, 255, 288 Impaired loans and -
Nber Working Paper Series Exchange Rate, Equity
NBER WORKING PAPER SERIES EXCHANGE RATE, EQUITY PRICES AND CAPITAL FLOWS Harald Hau Hélène Rey Working Paper 9398 http://www.nber.org/papers/w9398 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 December 2002 Deniz Igan provided outstanding research assistance. We thank Bernard Dumas, Pierre-Olivier Gourinchas, Olivier Jeanne, Arvind Krishnamurthy, Carol Osler and Michael Woodford for very useful dicussions and Richard Lyons, Michael Moore and Richard Portes for detailed comments on earlier drafts. Thanks also to participants in the 2002 NBER IFM summer institute and in seminars at Columbia, Georgetown, George Washington University and the IMF. We are both very grateful to the IMF Research Department for its warm hospitality and its stimulating environment while writing parts of this paper. Sergio Schmukler and Stijn Claessens provided the stock market capitalization data. This paper is part of a research network on ‘The Analysis of International Capital Markets: Understanding Europe’s Role in the Global Economy’, funded by the European Commission under the Research Training Network Program (Contract No. HPRN(ECT(E 1999(E00067). The views expressed herein are those of the authors and not necessarily those of the National Bureau of Economic Research. © 2002 by Harald Hau and Hélène Rey. All rights reserved. Short sections of text not to exceed two paragraphs, may be quoted without explicit permission provided that full credit including, © notice, is given to the source. Exchange Rate, Equity Prices and Capital Flows Harald Hau and Hélène Rey NBER Working Paper No. 9398 December 2002 JEL No. F3, F31, G1, G15 ABSTRACT We develop an equilibrium model in which exchange rates, stock prices and capital flows are jointly determined under incomplete forex risk trading. -
Risk Management Through Derivatives Securitization
Illinois Wesleyan University Digital Commons @ IWU Honors Projects Business Administration 2007 Risk Management through Derivatives Securitization Stefan Filip '07 Illinois Wesleyan University Follow this and additional works at: https://digitalcommons.iwu.edu/busadmin_honproj Part of the Business Commons Recommended Citation Filip '07, Stefan, "Risk Management through Derivatives Securitization" (2007). Honors Projects. 11. https://digitalcommons.iwu.edu/busadmin_honproj/11 This Article is protected by copyright and/or related rights. It has been brought to you by Digital Commons @ IWU with permission from the rights-holder(s). You are free to use this material in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This material has been accepted for inclusion by faculty at Illinois Wesleyan University. For more information, please contact [email protected]. ©Copyright is owned by the author of this document. Risk Management through Derivatives Securitization Stefan Filip Research Honors 2007 Dr. Jin Park Abstract: With the fluctuations in the financial markets reaching tens ofbillions of dollars in just one day, using complex financial instruments instead oftypical insurance could be more effective and cheaper to finance high-severity and low frequency risk exposures. Insurance-linked derivatives such as catastrophes bonds and weather bonds have been used for some time in the United States and European Union. The risks that they cover vary from property catastrophes, weather, general liability, and extreme mortality risks. -
Issues in Estimating
Issues in Estimating quickreadbuzz.com/2019/12/04/business-valuation-kirkland-henriquez-issues-in-estimating/ National Association of Certified Valuators and Analysts December 4, 2019 The Cost of Equity Capital (Part I of II) This is the first of a two-part series article focused on issues that arise estimating the cost of equity capital. In most forensic-related valuation analyses, one procedure that affects most valuations is the measurement of the present value discount rate. This discount rate analysis may affect the forensic-related valuation of private companies, business ownership interests, securities, and intangible assets. This discussion summarizes three models that analysts typically apply to estimate the cost of equity capital component of the present value discount rate: (1) the capital asset pricing model, (2) the modified capital asset pricing model, and (3) the build-up model. This discussion focuses on the cost of equity capital inputs that are often subject to a contrarian review in the forensic-related valuation. Introduction There are three generally accepted business valuation approaches: (1) the Income Approach, (2) the Market Approach, and (3) the Asset-based Approach. Each generally accepted business valuation approach encompasses several generally accepted business valuation methods. 1/6 An analyst should consider all generally accepted business valuation approaches and select the approaches and methods best suited for the analysis. This discussion focuses on the estimation of the present value discount rate (discount rate) in the application of the Income Approach. The general principle of the Income Approach is that the value of the subject interest is the present value of future economic benefits (typically, some measure of income) associated with the ownership or operation of the business interest. -
Bank Capital, Securitization and Credit Risk: an Empirical Evidence
ARTICLES ACADÉMIQUES ACADEMIC ARTICLES Assurances et gestion des risques, vol. 75(4), janvier 2008, 459-485 Insurance and Risk Management, vol. 75(4), January 2008, 459-485 Bank Capital, Securitization and Credit Risk: an Empirical Evidence by Georges Dionne and Tarek M. Harchaoui ABSTRACT This paper is one of the first attempts to conduct an empirical investigation of the relationship between bank capital, securitization and bank risk-taking in a con- text of the rapid growth in off-balance-sheet activities. The data come from the Canadian financial sector. Evidence from the 1988-1998 period indicates that: (a) securitization has a negative statistical link with both current Tier 1 and Total risk- based capital ratios, and (b) there exists a positive statistical link between securi- tization and bank risk-taking. Profit-risk measure is more sensitive than loss-risk measure to the variation in securitization activity. These results seem to agree, during the studied period, with models indicating that banks might be induced to shift to more risky assets under the current capital requirements for credit risk because the regulatory capital levels are considered too high. Keywords: Securitization, credit risk, capital regulation, Canadian financial sector, bank regulation. JEL classification: G18, G21, G28. The authors: Georges Dionne (corresponding author), Canada Research Chair in Risk Management, HEC Montréal, Montreal, Canada, H3T 2A7, CIRRELT, and CREF. Telephone: 514 340-6596. Fax: 514 340-5019. E-mail address: [email protected] Tarek M. Harchaoui, Statistics Canada, Microeconomic analysis Division, R.H. Coats 18-F, Ottawa, Canada, K1A 0T6. E-mail address: [email protected] Research assistance from Rachid Aqdim and Philippe Bergevin is acknowledged. -
Risk and Return in Bond, Currency and Equity Markets
Risk and Return in Bond, Currency and Equity Markets Ravi Bansal Ivan Shaliastovich ∗ June 2007 ∗Bansal (email: [email protected]) is affiliated with the Fuqua School of Business, Duke Univer- sity, and NBER, and Shaliastovich (email: [email protected]) is at the Department of Economics, Duke University. We would like to thank Tim Bollerslev, Riccardo Colacito, Bjorn Eraker, David Hsieh, George Tauchen, Adrien Verdelhan for their helpful comments and suggestions. The usual disclaimer applies. Risk and Return in Bond, Currency and Equity Markets Abstract We develop a general equilibrium long-run risks model that can simultane- ously account for key asset price puzzles in bond, currency and equity markets. Specifically, we show that the model can explain the predictability of returns and violations of the expectations hypothesis in bond and foreign exchange markets. It also accounts for the levels and volatilities of bond yields and exchange rates, and the well-known risk premium and volatility puzzles in equity markets. The model matches the observed consumption and inflation dynamics. Using domestic and foreign consumption and asset markets data we provide robust empirical support for our models predictions. We argue that key economic channels featured in the long-run risks model — long-run growth fluctuations and time-varying uncertainty, along with a preference for early resolution of uncertainty — provide a coherent framework to simultaneously explain a rich array of asset market puzzles. 1 Introduction An extensive list of financial puzzles commonly includes the level and volatilities of the nominal yields, failure of the expectations hypothesis in bond and foreign exchange markets (see Fama, 1984; Campbell and Shiller, 1991), exchange rate volatility, and the risk premium and stock-price volatility puzzles in equity markets. -
Estate Master DF
Operations Manual 2 Estate Master DF Table of Contents Part I Introduction to Estate Master 6 1 Introduction ................................................................................................................................... 6 2 Program Integrity................................................................................................................................... 6 3 System Requirements................................................................................................................................... 7 Part II Installation 9 Part III Introduction to Development Feasibility Analysis 11 1 Development................................................................................................................................... Margin 11 2 Time Value of................................................................................................................................... Money 11 3 Discounted ...................................................................................................................................Cash Flow Analysis 12 4 Performance................................................................................................................................... Indicators 12 5 Risk Assessment................................................................................................................................... 13 6 Discount Rate..................................................................................................................................