Draft ECB Guide to Internal Models – Risk-Type-Specific Chapters
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Financial Leverage Meaning with Example
Financial Leverage Meaning With Example Idolatrously unpardonable, Uriah syntonising emblazoner and tends dying. Elder Zeke sometimes wauls his electromagnet semplice and sorn so soulfully! Huge and acclamatory Ransell always retied thievishly and fall-back his banks. What is leverage, and her shack increased stock is the shareholder value falls in leverage with financial What process do I follow for researching a new company? It indicates how a business uses fixed costs to turn into a profit. Robinhood Securities, LLC, provides brokerage clearing services. AY, _t: timestamp, original_referrer: document. Counselors can help you prevail a solid budget and air up stream a repayment plan that works for you. Financial leverage comes with a greater operational risk for companies in industries like automobile manufacturing, construction and oil production. Operating with financial leverage means that increase its stock or hansen are accredited investors and is meaning of factors such medical services. Increasing financial leverage increases the financial risk of the company. While having talent is fantastic, even a lucky break, everyone has a story of the one who squandered it. Both companies pay an annual rent, which is their only fixed expense. Trading with examples of debt means you would mean a given, meaning of return on equity a village to your initial investment. The option now wishes to raise that fund of Rs. If these ratios seem exceptionally high, lenders may met the firm to raise more equity or before lending. Borrowers may bond a relatively small upfront investment. However, it is advisable to exercise caution when dealing with financial leverage indexes as it escalates the discrepancy in expected returns. -
Ex Ante PD and LGD Estimates: Analysis and Summary of IRB Bank Contributions
Collective Intelligence For Global Finance Whitepaper // No.5 Ex Ante PD and LGD estimates: Analysis and summary of IRB bank contributions With reference to the request for submissions by the Basel Committee on Banking Supervision March 2016 Consultation document “Reducing variation in credit risk-weighted assets – constraints on the use of internal model approaches” June 2016 Executive Summary This paper has been guided by discussions with IRB banks, regulators and industry bodies and draws on the Credit Benchmark contributed dataset (“CB data”). This data shows the position and shape of Ex Ante PD and LGD distributions from IRB models. Key points: 1. Variation: The range of PD and LGD estimates is proportionately lower for the highest quality obligors. The variation in risk estimates across contributors for the same obligor is lower in 2016 than in 2011. 2. CRA Ratings: IRB banks are conservative with respect to rating agencies, especially in the systemically important Sovereign and Bank obligor credit categories. Banks are required to model a very large number of obligors for which no ratings exist, including around 100,000 corporates. Changes in pooled credit views tend to be smoother than CRA based changes. 3. Market-derived estimates: These are distorted by a time varying risk premium when compared with bank estimates. For this reason, market derived estimates are more volatile than internal model estimates. Banks are required to model a large number of obligors for which no market- derived estimates exist, especially in the SME and fund obligor categories. 4. Floors and Adverse Risk Selection: IRB banks are generally conservative with respect to standardized LGD floors. -
Hedge Performance: Insurer Market Penetration and Basis Risk
CORE Metadata, citation and similar papers at core.ac.uk Provided by Research Papers in Economics This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: The Financing of Catastrophe Risk Volume Author/Editor: Kenneth A. Froot, editor Volume Publisher: University of Chicago Press Volume ISBN: 0-226-26623-0 Volume URL: http://www.nber.org/books/froo99-1 Publication Date: January 1999 Chapter Title: Index Hedge Performance: Insurer Market Penetration and Basis Risk Chapter Author: John Major Chapter URL: http://www.nber.org/chapters/c7956 Chapter pages in book: (p. 391 - 432) 10 Index Hedge Performance: Insurer Market Penetration and Basis Risk John A. Major Index-based financial instruments bring transparency and efficiency to both sides of risk transfer, to investor and hedger alike. Unfortunately, to the extent that an index is anonymous and commoditized, it cannot correlate perfectly with a specific portfolio. Thus, hedging with index-based financial instruments brings with it basis risk. The result is “significant practical and philosophical barriers” to the financing of propertykasualty catastrophe risks by means of catastrophe derivatives (Foppert 1993). This study explores the basis risk be- tween catastrophe futures and portfolios of insured homeowners’ building risks subject to the hurricane peril.’ A concrete example of the influence of market penetration on basis risk can be seen in figures 10.1-10.3. Figure 10.1 is a map of the Miami, Florida, vicin- John A. Major is senior vice president at Guy Carpenter and Company, Inc. He is an Associate of the Society of Actuaries. -
Principles of Finance © Wikibooks
Principles of Finance © Wikibooks This work is licensed under a Creative Commons-ShareAlike 4.0 International License Original source: Principles of Finance, Wikibooks http://en.wikibooks.org/wiki/Principles_of_Finance Contents Chapter 1 Introduction ..................................................................................................1 1.1 What is Finance? ................................................................................................................1 1.2 History .................................................................................................................................1 1.2.1 Introduction to Finance ..........................................................................................1 1.2.1.1 Return on Investments ...............................................................................2 1.2.1.2 Debt Finance and Equity Finance - The Two Pillars of Modern Finance ....................................................................................................................................3 1.2.1.2.1 Debt Financing .................................................................................3 1.2.1.2.2 Equity Financing ...............................................................................3 1.2.1.3 Ratio Analysis ...............................................................................................4 1.2.1.3.1 Liquidity Ratios .................................................................................4 Chapter 2 The Basics ......................................................................................................6 -
Risk Parity an Alternative Approach to Asset Allocation
FEATURE Risk Parity An Alternative Approach to Asset Allocation Alexander Pekker, PhD, CFA®, ASA, Meghan P. Elwell, JD, AIFA®, and Robert G. Smith III, CIMC®, AIF® ollowing the financial crisis of tors, traditional RP strategies fall short respectively, but a rather high Sharpe 2008, many members of the of required return targets and leveraged ratio, 0.86. In other words, while the investment management com- RP strategies do not provide enough portfolio is unlikely to meet the expected F munity, including Sage,intensified their potential benefits to outweigh their return target of many institutional inves- scrutiny of mean-variance optimization risks. Instead we advocate a liability- tors (say, 7 percent or higher), its effi- (MVO) and modern portfolio theory based approach that incorporates risk ciency, or “bang for the buck” (i.e., return (MPT) as the bedrock of asset alloca- budgeting, a key theme of RP, as well as per unit of risk, in excess of the risk-free tion (Elwell and Pekker 2010). Among tactical asset allocation. rate), is quite strong. various alternative approaches to asset How does this sample RP portfo- What is Risk Parity? allocation, risk parity (RP) has been in the lio compare with a sample MVO port- news lately (e.g., Nauman 2012; Summers As noted above, an RP portfolio is one folio? A sample MVO portfolio with a 2012), especially as some hedge funds, where risk, defined as standard deviation return target of 7 percent is shown in such as AQR, and large plan sponsors, of returns, is distributed evenly among table 2. Unlike the sample RP portfolio, such as the San Diego County Employees all potential asset classes;1 table 1 shows the MVO portfolio is heavily allocated Retirement Association, have advocated a sample (unleveraged) RP portfolio toward equities, and it has much higher its adoption. -
Working Paper Series
Working Paper Series SOVEREIGN DEBT CRISES WITH SPECIAL REFERENCE TO EURO ZONE: VIEWED FROM AN ISLAMIC PERSPECTIVE Prof. Dr. Munawar Iqbal Circulation Limited King Abdulaziz University - Islamic Economics Institute ﺟﺎﻣﻌﺔ ﺍﻟﻤﻠﻚ ﻋﺒﺪ ﺍﻟﻌﺰﻳﺰ - ﻣﻌﻬﺪ ﺍﻻﻗﺘﺼﺎﺩ ﺍﻻﺳﻼﻣﻲ P.O.Box: 80214 Jeddah 21589 Saudi Arabia -Tel.: 6400789 - Fax: 6403458 ﺹ.ﺏ: ٨٠٢١٤ - ﺟﺪﺓ ٢١٥٨٩- ﺍﻟﻤﻤﻠﻜﺔ ﺍﻟﻌﺮﺑﻴﺔ ﺍﻟﺴﻌﻮﺩﻳﺔ - ﺕ:٦٤٠٠٧٨٩ - ﻑ:٦٤٠٣٤٥٨ The Islamic Economics Institute is an academic institution seeking to contribute effectively to build a global economic thought which would realize welfare and social justice by creat- ing an active research environment, in which the Institute's resources are mustered, to realize a pioneering academic status and create pioneering generations in the field of Islamic Economics. 1396 In (1976) King Abdul Aziz University (KAU) organized the first international conference on Islamic Economics in the world in which a number of Finance Ministers of Muslim Countries participated, (along) with a number of Shar'ah scholars and economists. The Conference came up with number of recommendations, including the establishment of a 1397 research centre in Islamic Economics at KAU. In 1977, the University responded positively to the recommendation by establishing Islamic Economics and Research Center 35 (IERC). Ever since its establishment, the Centre has been consolidating its research status; KAU 1432 built for it a strong Research infrastructure, such as library, a journal and sound academic 14331427 reputation. 14013 20 After 35 years of academic research, the University took an important decision to expand the scope of the Centre's activities to include education and training. In 2011, the Centre was transformed into the Islamic Economics Institute. -
Of the Guide to the Targeted Review of Internal Models (TRIM)
ECB-PUBLIC February 2017 Information on the current version (February 2017) of the guide to the Targeted Review of Internal Models (TRIM) Dear Members of the Management Body, As announced in the invitation you have received on 6 February 2017 for the conference on the Targeted Review of Internal Models (TRIM) organised by the ECB on 28 February 2017, we are pleased to share with you the current version (February 2017) of the guide to TRIM. This guide sets out the ECB’s view on the appropriate supervisory practices. It further spells out how the ECB intends to interpret the relevant EU law on internal models for credit, market and counterparty credit risks and on general model governance topics. The aim pursued by the guide is to ensure a harmonised interpretation and application of the existing legal framework as well as also ensuring close alignment with upcoming changes in the regulation on internal models. The guide to TRIM will be presented to the institutions in scope for TRIM during the conference on 28 February 2017 and will be made public consecutively via the ECB Banking Superivsion website. Until this publication, this version shall not be shared with any other third party. We also invite you to provide feedback on this version of the guide to TRIM in order to identify where further clarifications or reconsiderations of the defined principles could be helpful. To that extent, you will find attached feedback templates for each chapter, including some instructions. We kindly ask you to send back these feedback templates to [email protected] by Thursday, 13 April 2017. -
US Economic Autumn Outlook | August 31, 2015 MORGAN STANLEY RESEARCH
US Economic Autumn Outlook | August 31, 2015 MORGAN STANLEY RESEARCH August 31, 2015 MORGAN STANLEY & CO. LLC Ellen Zentner US Economic Autumn Outlook [email protected] +1 212 296-4882 Ted Wieseman Sobering Up On Supply Side [email protected] +1 212 761-3407 Paula Campbell Roberts [email protected] +1 212 761-3043 Domestic momentum should be enough to lead the Fed to deliver a Robert Rosener December rate hike as downside risks to inflation ease. Thereafter, [email protected] +1 212 296-5614 depressed productivity and lower potential growth take center stage. Forecast Highlights: More muted growth outlook—productivity picks up only moderately; potential GDP growth and NAIRU are lower. Slower path for policy tightening—we have removed 50bps of tightening in 2016 via one less rate hike and delayed balance sheet action. Job growth slows sharply in 2017—we expect 50k average monthly job growth by the end of 2017 on a gradual rise in productivity and renewed downtrend in participation, just enough to keep the unemployment rate steady. Outlook for inflation little changed—headline inflation remains largely oil-driven. For core inflation, housing-led upside in core services prices is offset by dollar appreciation and weakness in more globally-driven core goods prices. Downward revision to growth in 2015/16—2015 GDP revised lower to 2.4%Y vs 2.5% previously, 2016 comes down by 0.8pp to 1.9%Y and we initiate 2017 at 1.8%Y. A US recession enters the bear case—in our bear case we explore the possibility of a US recession within the next 12 months. -
ABSTRACT LUCY, ZACHARY MARC. Analysis of Fixed Volume Swaps For
ABSTRACT LUCY, ZACHARY MARC. Analysis of Fixed Volume Swaps for Hedging Financial Risk at Large-Scale Wind Projects (Under the direction of Dr. Jordan Kern). Large scale wind power projects are increasingly selling power directly into wholesale electricity markets without the benefits of stable (fixed price) off-take agreements. As a result, many wind power producers are incentivized to use financial hedging contracts to mitigate exposure to price risk. One particular hedging contract - the “fixed volume price swap” - has gained prevalence, but it poses several liabilities for wind power producers that reduce its effectiveness. In this paper, we explore problems associated with fixed volume swaps and examine two different interventions to improve contract performance for wind power producers. Using a hypothetical wind power project in the Southwest Power Pool (SPP) market as a case study, we first look at how “shape risk” (an imbalance between actual wind power production and hourly production targets specified by contract terms) negatively impacts contract performance and whether this could be remedied through improved contract design. Using a multi-objective optimization algorithm, we find examples of alternative contract parameters (hourly wind power production targets) that are more effective at increasing revenues during low performing months and do so at a lower cost than conventional fixed volume swaps. Then we examine how “basis risk” (a discrepancy in market prices between the “node” where the wind project injects power into the grid, and the regional hub price) can negatively impact contract performance. We statistically manipulate basis risk as a proxy for the effects of increased transmission and its effect on contract performance. -
CAIA Member Contribution Long Term Investors, Tail Risk Hedging, And
CAIA Member Contribution Long Term Investors, Tail Risk Hedging, and the Role of Global Macro in Institutional Andrew Rozanov, CAIA Portfolios Managing Director, Head of Permal Sovereign Advisory 24 Alternative Investment Analyst Review Long Term Investors 1. Introduction This paper focuses on two related topics: the tension between the fundamental premise of long-term investing and the post-crisis pressure to mitigate tail risks; and new approaches to asset allocation and the potential role of global macro strategies in institutional portfolios. To really understand why these issues are increasingly coming to the fore, it is important to recall the sheer magnitude of losses suffered by sovereign wealth funds and other long-term investors at the peak of the recent financial crisis and to appreciate how shocked they were to see large double-digit percentage drops, not only in their own portfolios, but also in portfolios of institutions that many of them were looking to as potential role models, namely the likes of Yale and Harvard university endowments. Losses for many broadly diversified, multi-asset class portfolios ranged anywhere from 20% to 30% in the course of just a few months. In one of the better publicized cases, Norway’s sovereign fund lost more than 23%, or in dollar equivalent more than $96 billion, an amount that at the time constituted their entire accumulated investment returns since inception in 1996. Some of the longer standing sovereign wealth funds in Asia and the Middle East, which had long invested in a wide range of alternative asset classes such as private equity, real estate and hedge funds, are rumoured to have done even worse in that infamous year. -
Hedging in the Portfolio Theory Framework: a Note
UNIVERSITY OF ILLINOIS LIBRARY AT URBANA-CHAMPAIGN 330K3TA.CK3 Digitized by the Internet Archive in 2011 with funding from University of Illinois Urbana-Champaign http://www.archive.org/details/hedginginportfol1331park BEBR FACULTY WORKING PAPER NO. 1331 u.\, Hedging in the Portfolio Theory Framework: A Note Hun Y. Park College of Commerce and Business Administration Bureau of Economic and Business Research University of Illinois, Urbana-Champaign BEBR FACULTY WORKING PAPER NO. 1331 College of Commerce and Business Administration University of Illinois at Urbana-Champaign February 1987 Hedging in the Portfolio Theory Framework: A Note Hun Y. Park, Professor Department of Finance Hedging in the Portfolio Theory Framework: A Note Howard and D T Antonio (1984) developed the hedge ratio and the measure of hedging effectiveness of futures contracts in the framework. of what they called the modern portfolio theory. This note shows that the H-D analysis is misleading and not consistent with the portfolio theory. For the comparison purpose, an alternative and simpler hedge ratio and measure of hedging effectiveness of futures is developed which is consistent with the portfolio theory. Hedging in the Portfolio Theory Framework: A Note Hun Y. Park I. Introduction The key to any hedging strategy using futures contracts is a knowl- edge of the hedge ratio, i.e., the number of futures per spot position. The most common method to estimate the hedge ratio using futures contracts is the regression approach relating changes in cash prices to changes in futures prices. Inherent in the regression is the assumption that the optimal combination of cash position with futures is the one whose variance is minimized. -
Economic Aspects of Securitization of Risk
ECONOMIC ASPECTS OF SECURITIZATION OF RISK BY SAMUEL H. COX, JOSEPH R. FAIRCHILD AND HAL W. PEDERSEN ABSTRACT This paper explains securitization of insurance risk by describing its essential components and its economic rationale. We use examples and describe recent securitization transactions. We explore the key ideas without abstract mathematics. Insurance-based securitizations improve opportunities for all investors. Relative to traditional reinsurance, securitizations provide larger amounts of coverage and more innovative contract terms. KEYWORDS Securitization, catastrophe risk bonds, reinsurance, retention, incomplete markets. 1. INTRODUCTION This paper explains securitization of risk with an emphasis on risks that are usually considered insurable risks. We discuss the economic rationale for securitization of assets and liabilities and we provide examples of each type of securitization. We also provide economic axguments for continued future insurance-risk securitization activity. An appendix indicates some of the issues involved in pricing insurance risk securitizations. We do not develop specific pricing results. Pricing techniques are complicated by the fact that, in general, insurance-risk based securities do not have unique prices based on axbitrage-free pricing considerations alone. The technical reason for this is that the most interesting insurance risk securitizations reside in incomplete markets. A market is said to be complete if every pattern of cash flows can be replicated by some portfolio of securities that are traded in the market. The payoffs from insurance-based securities, whose cash flows may depend on Please address all correspondence to Hal Pedersen. ASTIN BULLETIN. Vol. 30. No L 2000, pp 157-193 158 SAMUEL H. COX, JOSEPH R. FAIRCHILD AND HAL W.