Hedging Climate Risk Mats Andersson, Patrick Bolton, and Frédéric Samama
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Asset and Risk Allocation Policy
____________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY Approved March 15, 2018 ______________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY POLICY SUMMARY/BACKGROUND The purpose of this Asset and Risk Allocation Policy (“Policy”) is to define the asset types, strategic asset allocation, risk management, benchmarks, and rebalancing for the University of California General Endowment Pool (“GEP”). The Investments Subcommittee has consent responsibilities over this policy. POLICY TEXT ASSET CLASS TYPES Below is a list of asset class types in which the GEP may invest so long as they do not conflict with the constraints and restrictions described in the GEP Investment Policy Statement. The criteria used to determine which asset classes may be included are: Positive contribution to the investment objective of GEP Widely recognized and accepted among institutional investors Low cross correlations with some or all of the other accepted asset classes Based on the criteria above, the types of assets for building the portfolio allocation are: 1. Public Equity Includes publicly traded common and preferred stock of issuers domiciled in US, Non-US, and Emerging (and Frontier) Markets. The objective of the public equity portfolio is to generate investment returns with adequate liquidity through a globally diversified portfolio of common and preferred stocks. 2. Liquidity (Income) Liquidity includes a variety of income related asset types. The portfolio will invest in interest bearing and income based instruments such as corporate and government bonds, high yield debt, emerging markets debt, inflation linked securities, cash and cash equivalents. The portfolio can hold a mix of traditional (benchmark relative) strategies and unconstrained (benchmark agnostic) strategies. -
Tracking Error
India Index Services & Products Ltd. Tracking Error TRACKING ERROR An Index Fund is a mutual fund scheme that invests in the securities in the target Index in the same proportion or weightage of the securities as it bears to the target index. The investment objective of an index fund is to achieve returns which are commensurate to that of the target Index. An investment manager attempts to replicate the investment results of the target index by holding all the securities in the Index. Though Index Funds are designed to provide returns that closely track the benchmarked Index, Index Funds carry all the risks associated with the type of asset the fund holds. Indexing merely ensures that the returns of the Index Fund will not stray far from the returns on the Index that the fund mimics. Still there are instances, which are mentioned below, that leads to mismatch of the returns of the index with that of the fund. This mismatch or the difference in the returns of the Index with that of the fund is known as Tracking Error. Tracking Error Tracking error is defined as the annualised standard deviation of the difference in returns between the Index fund and its target Index. In simple terms, it is the difference between returns from the Index fund to that of the Index. An Index fund manager needs to calculate his tracking error on a daily basis especially if it is open-ended fund. Lower the tracking error, closer are the returns of the fund to that of the target Index. -
CLIMATE RISK COUNTRY PROFILE: GHANA Ii ACKNOWLEDGEMENTS This Profile Is Part of a Series of Climate Risk Country Profiles Developed by the World Bank Group (WBG)
CLIMATE RISK COUNTRY PROFILE GHANA COPYRIGHT © 2021 by the World Bank Group 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org This work is a product of the staff of the World Bank Group (WBG) and with external contributions. The opinions, findings, interpretations, and conclusions expressed in this work are those of the authors and do not necessarily reflect the views or the official policy or position of the WBG, its Board of Executive Directors, or the governments it represents. The WBG does not guarantee the accuracy of the data included in this work and do not make any warranty, express or implied, nor assume any liability or responsibility for any consequence of their use. This publication follows the WBG’s practice in references to member designations, borders, and maps. The boundaries, colors, denominations, and other information shown on any map in this work, or the use of the term “country” do not imply any judgment on the part of the WBG, its Boards, or the governments it represents, concerning the legal status of any territory or geographic area or the endorsement or acceptance of such boundaries. The mention of any specific companies or products of manufacturers does not imply that they are endorsed or recommended by the WBG in preference to others of a similar nature that are not mentioned. RIGHTS AND PERMISSIONS The material in this work is subject to copyright. Because the WBG encourages dissemination of its knowledge, this work may be reproduced, in whole or in part, for noncommercial purposes as long as full attribution to this work is given. -
TRACKING ERROR: an Essential Tool in Evaluating Index Funds
JOURNAL OF INVESTMENT CONSULTING TRACKING ERROR: An Essential Tool in Evaluating Index Funds By Chris Tobe, CFA As the dollars being indexed grow and portfolio management becon1es more sophisticated, consultants should demand tighter tracking to the index in question from their index n1anagers. In fact, the key to assessiI1g index fund managers is determining if their performance has tracked their benchmarks within reasonable tolerances. The alltl10r reviews what is known about this aspect of performance evaluation. He also sl1ares 11is experie11ce in detern1ining what factors caused a difference in performance for a $3 billion S&P 500 index fund. This article is based on a study written by the author and should be no attempt to outperform the index or Dr. Ken Miller for Kentucky State Auditor Edward B. bencl1mark. William F Sharpe holds that a passive Hatchett Jr. The study was reported in the July 27, 1998, strategy requires the manager issue of Pensions and Investments. Earlier versions of this ... to hold every security from the market, with each article were presented at two conferences on indexing. represented in the same manner as in the n1arket. Thus, if security X represents 3 percent of the value ver $1 trillion is now being managed of the securities in the market, a passive investor's within index funds. Lipper lists the portfolio will have 3 percent of its value invested in Vanguard 500 Index fund as the second X. Equivalently; a passive manager will hold the same percentage of the total outstanding amount of largest stock fllnd in the world with a each security in the market. -
Climate Change Guidelines for Forest Managers for Forest Managers
0.62cm spine for 124 pg on 90g ecological paper ISSN 0258-6150 FAO 172 FORESTRY 172 PAPER FAO FORESTRY PAPER 172 Climate change guidelines Climate change guidelines for forest managers for forest managers The effects of climate change and climate variability on forest ecosystems are evident around the world and Climate change guidelines for forest managers further impacts are unavoidable, at least in the short to medium term. Addressing the challenges posed by climate change will require adjustments to forest policies, management plans and practices. These guidelines have been prepared to assist forest managers to better assess and respond to climate change challenges and opportunities at the forest management unit level. The actions they propose are relevant to all kinds of forest managers – such as individual forest owners, private forest enterprises, public-sector agencies, indigenous groups and community forest organizations. They are applicable in all forest types and regions and for all management objectives. Forest managers will find guidance on the issues they should consider in assessing climate change vulnerability, risk and mitigation options, and a set of actions they can undertake to help adapt to and mitigate climate change. Forest managers will also find advice on the additional monitoring and evaluation they may need to undertake in their forests in the face of climate change. This document complements a set of guidelines prepared by FAO in 2010 to support policy-makers in integrating climate change concerns into new or -
Climate Change Scenario Report
2020 CLIMATE CHANGE SCENARIO REPORT WWW.SUSTAINABILITY.FORD.COM FORD’S CLIMATE CHANGE PRODUCTS, OPERATIONS: CLIMATE SCENARIO SERVICES AND FORD FACILITIES PUBLIC 2 Climate Change Scenario Report 2020 STRATEGY PLANNING TRUST EXPERIENCES AND SUPPLIERS POLICY CONCLUSION ABOUT THIS REPORT In conjunction with our annual sustainability report, this Climate Change CONTENTS Scenario Report is intended to provide stakeholders with our perspective 3 Ford’s Climate Strategy on the risks and opportunities around climate change and our transition to a low-carbon economy. It addresses details of Ford’s vision of the low-carbon 5 Climate Change Scenario Planning future, as well as strategies that will be important in managing climate risk. 11 Business Strategy for a Changing World This is Ford’s second climate change scenario report. In this report we use 12 Trust the scenarios previously developed, while further discussing how we use scenario analysis and its relation to our carbon reduction goals. Based on 13 Products, Services and Experiences stakeholder feedback, we have included physical risk analysis, additional 16 Operations: Ford Facilities detail on our electrification plan, and policy engagement. and Suppliers 19 Public Policy This report is intended to supplement our first report, as well as our Sustainability Report, and does not attempt to cover the same ground. 20 Conclusion A summary of the scenarios is in this report for the reader’s convenience. An explanation of how they were developed, and additional strategies Ford is using to address climate change can be found in our first report. SUSTAINABLE DEVELOPMENT GOALS Through our climate change scenario planning we are contributing to SDG 6 Clean water and sanitation, SDG 7 Affordable and clean energy, SDG 9 Industry, innovation and infrastructure and SDG 13 Climate action. -
Tracking Error and the Information Ratio
It Is More Than]ust Performance: TRACKING ERROR AND THE INFORMATION RATIO By Jay L. Shein, Ph.D., ClMA, CFP ONE OF OUR MOST POPULAR CONTRIBUTORS REVIEWS SOME QUANTITATIVE TECHNIQUES THAT CAN ASSIST THE CONSULTANT IN MANAGER SELECTIONS AND IN ASSET ALLOCATION DESIGN. Introduction properly these statistical measures can be dentifying and selecting the most appropri useful tools. ate mutual fund or money manager to use Tracking error was defined by Tobe (1999) as in an investor's portfolio are major aspects the percentage difference in total return between of the investment consultants responsibili an index fund and the benchmark index the fund ties. This is true for both active and passive was designed to replicate. This definition of track money manager searches and selection. ing error is best used for evaluation of a passive When searching for and selecting money man manager such as an index fund. Tracking error agers, consultants and investment advisors typical used in the context of active manager evaluation is ly look at both qualitative and quantitative infor better defined as active manager risk. For purpos mation before making their recommendations. The es of this commentary, tracking error is defined as investment consultant knows that items such as the standard deviation between two return series philosophy, process, people, and strategic business written as: 1 plans are important, if not sometimes more impor tant than historical performance. Even though the qualitative side is important, the investment con TE= i-I sultant will ultimately use some quantitative mea N-l sure such as a ratio, statistic, risk-adjusted measure of performance, and/or absolute performance to Where: validate the qualitative component of money man IE = Tracking Error ager search and selection. -
Human Mobility and the Paris Agreement: Contribution of Climate Policy to the Global Compact for Safe, Orderly and Regular Migr
Human mobility and the Paris Agreement: Contribution of climate policy to the global compact for safe, orderly and regular migration Input to the UN Secretary-General’s report on the global compact for safe, orderly and regular migration, in response to Note Verbale of 21 July 2017, requesting inputs to the Secretary-General’s report on the global compact for safe, orderly and regular migration Koko Warner, Manager of the Impacts, Vulnerabilities and Risks subprogramme, UN Climate Secretariat (UNFCCC) Bonn, 19 September 2017 Contents 1. Introduction: Climate policy aims to safeguard resilience ................................................................... 1 2. Human mobility under the UNFCCC process including the Paris Agreement....................................... 2 3. Conclusions: Paris Agreement provides scope of climate impacts affecting future human mobility .. 3 1. Introduction: Climate policy aims to safeguard resilience Helping countries bolster resilience in the face of climatic risks – the ability to rise again when climatic disruptions pose stumbling blocks to sustainable development and food production – is a foundational part of climate policy. The topic of migration, displacement, and planned relocation, introduced in international climate policy in 2010, is framed as a climate risk management issue in the context of a “resilience continuum”. The work on climate impacts, vulnerabilities, and risks puts human mobility in the context of preempting, planning for, managing and having contingency arrangements to aid society -
CLIMATE RISK COUNTRY PROFILE: KENYA Ii ACKNOWLEDGEMENTS This Profile Is Part of a Series of Climate Risk Country Profiles Developed by the World Bank Group (WBG)
CLIMATE RISK COUNTRY PROFILE KENYA COPYRIGHT © 2020 by the World Bank Group 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org This work is a product of the staff of the World Bank Group (WBG) and with external contributions. The opinions, findings, interpretations, and conclusions expressed in this work are those of the authors and do not necessarily reflect the views or the official policy or position of the WBG, its Board of Executive Directors, or the governments it represents. The WBG does not guarantee the accuracy of the data included in this work and do not make any warranty, express or implied, nor assume any liability or responsibility for any consequence of their use. This publication follows the WBG’s practice in references to member designations, borders, and maps. The boundaries, colors, denominations, and other information shown on any map in this work, or the use of the term “country” do not imply any judgment on the part of the WBG, its Boards, or the governments it represents, concerning the legal status of any territory or geographic area or the endorsement or acceptance of such boundaries. The mention of any specific companies or products of manufacturers does not imply that they are endorsed or recommended by the WBG in preference to others of a similar nature that are not mentioned. RIGHTS AND PERMISSIONS The material in this work is subject to copyright. Because the WBG encourages dissemination of its knowledge, this work may be reproduced, in whole or in part, for noncommercial purposes as long as full attribution to this work is given. -
Climate Risk Disclosure Survey
January 8, 2010 Sent Via E-Mail to Pam Simpson Mr. Eric Nordman National Association of Insurance Commissioners (NAIC) 2301 McGee Street, Suite 800 Kansas City, MO 64108 RE: Documents related to the Insurer Climate Risk Disclosure Survey Dear Eric: This letter is in response to the request by the Climate Change and Global Warming (EX) Task Force for comments on the following three items pertaining to the Insurer Climate Risk Disclosure Survey: • A prototype cover letter for use by state insurance departments that explains the purpose of the survey; • A prototype of the survey formatted in Zoomerang software; • A list of insurance companies by state, based on the direct written premium of the largest entity within the insurer group. NAMIC has no comment on the third item, but we do wish to comment on the first two. In addition, we’d like to share some observations about the current controversy surrounding climate science and its relevance to the insurer climate risk disclosure process. The Cover Letter Missing from the cover letter is any indication that all survey responses will be made public, with company respondents identified by name. While the survey instructions in the Zoomerang survey prototype clearly state that “survey responses are public information” and that “the NAIC shall coordinate a user-friendly central access point for the survey document and insurer responses,” we think this information is important enough that it should be prominently disclosed in the cover letter as well. Moreover, given that according to the cover letter, the purpose of the survey is to “assist regulators in assessing insurers’ risk assessment and management efforts relate to climate risk,” we believe it would be helpful if the letter were to explain how public disclosure of insurer responses will advance that purpose. -
Reducing Climate Risk: Climate Change Mitigation and Bioenergy
RESEARCH SYNTHESIS BRIEF Reducing climate risk: Climate change mitigation and bioenergy Avoiding dangerous climate change requires ambitious ac- tions to sharply reduce greenhouse gas emissions. SEI works to inform, support and advise decision-makers and civil society on ways to achieve these reductions and build a low-carbon future – including the role of bioenergy. We have also built tools and analytical frameworks to explore the options, from the global to the local level. Key insights SEI’s research on climate mitigation is broad and diverse, with significant contributions to both the scientific community and policy discourses around the world, as well as capacity devel- opment. The insights discussed here provide a sampling of the range of our work. • Sub-national climate policy should focus on sectors where local actors can exert the most influence and the potential for abatement is greatest; in cities, that is likely to be trans- port and buildings. Sub-national governments can provide an important labora- tory for climate policy innovation, and with rapid urbanization around the world, city-scale mitigation efforts are ever more crucial. Building on SEI’s history of analysing GHG abate- ment opportunities for U.S. states (e.g. Massachusetts), SEI has worked with local governments to better gauge their emissions and find effective mitigation options. © Flickr / Washington State Department of Transportation © Flickr / Washington Seattle and Washington State have worked to reduce transport-related For example, SEI’s work with King County stands as one of the emissions by improving public transit options and encouraging cycling. most comprehensive analyses of local-scale emissions to date (Erickson et al. -
Risk Attribution and Portfolio Performance Measurement$An Overview 1
Risk Attribution and Portfolio Performance Measurement-An Overview Yongli Zhang Department of Economics University of California, Santa Barbara, CA93016, USA Svetlozar Rachev Department of Econometrics and Statistics University of Karlsruhe, D-76128 Karlsruhe, Germany and Department of Statistics and Applied Probability University of California, Santa Barbara, CA93106, USA September, 2004 Abstract A major problem associated with risk management is that it is very hard to identify the main resource of risk taken, especially in a large and complex portfolio. This is due to the fact that the risk of individual securities in the portfolio, measured by most of the widely used risk measures such as standard deviation and value-at-risk, don’t sum up to the total risk of the portfolio. Although the risk measure of beta in the Capital Asset Pricing Model seems to survive this major de…ciency, it su¤ers too much from other pitfalls to become a satis- factory solution. Risk attribution is a methodology to decompose the total risk of a portfolio into smaller terms. It can be applied to any positive homogeneous risk measures, even free of models. The problem is solved in a way that the smaller decomposed units of the total risk are interpreted as the risk contribution of the corresponding subsets of the portfolio. We present here an overview of the methodology of risk attribution, di¤erent risk measures and their properties. S. Rachev’s research was supported by grants from Division of Mathematical, Life and Physical Sciences, College of Letters and Science, University of California at Santa Barbara and the Deutschen Forschungsgemeinschaft.