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Articles

Reinventing climate investing: building equity portfolios for climate risk mitigation and adaptation

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Pages 191-213 | Received 09 Nov 2018, Accepted 04 Feb 2019, Published online: 12 Feb 2019
 

ABSTRACT

Institutional investors are increasingly concerned with the material financial risks associated with global warming and the impacts of climate change on corporate financial performance and security returns. The challenge remains how to empirically quantify climate risk from an investment perspective and build investable portfolios that address the transition to a low-carbon economy. This study analyzes the available metrics for capturing climate-related investment considerations. We undertake a comprehensive review of the data characteristics for metrics such as carbon intensity, green revenue, and fossil fuel reserves, highlighting their coverage and distributional characteristics. These data characteristics are critical when integrating them into investment strategies. Building on our findings, we propose a framework for building climate strategies within public equities which rests on both mitigating the impact of climate risk today and adapting to climate risk in the future. This ‘mitigation and adaptation’ framework has enough flexibility to build portfolios at different levels of concentration, tracking error, and climate risk exposure. For example, we can build a portfolio which aligns with climate model projections. We illustrate our framework with a portfolio calibrated to align with the most conservative climate model projections, which seek to limit cumulative CO2 emissions to a threshold below the 2°C scenario.

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Disclosure statement

No potential conflict of interest was reported by the authors.

Important Risk Disclosures

The information provided does not constitute investment advice and it should not be relied on as such. It should not be considered a solicitation to buy or an offer to sell a security. It does not take into account any investor’s particular investment objectives, strategies, tax status or investment horizon. You should consult your tax and financial advisor. All material has been obtained from sources believed to be reliable. There is no representation or warranty as to the accuracy of the information and State Street shall have no liability for decisions based on such information.

The views expressed in this material are the views of the authors through December 15, 2018 and are subject to change based on market and other conditions. This document contains certain statements that may be deemed forward-looking statements. Please note that any such statements are not guarantees of any future performance and actual results or developments may differ materially from those projected.

Performances shown are NOT indicative of the performance of any product managed by SSGA

Investing involves risk including the risk of loss of principal.

A Smart Beta strategy does not seek to replicate the performance of a specified cap-weighted index and as such may underperform such an index. The factors to which a Smart Beta strategy seeks to deliver exposure may themselves undergo cyclical performance. As such, a Smart Beta 36 strategy may underperform the market or other Smart Beta strategies exposed to similar or other targeted factors. In fact, we believe that factor premia accrue over the long term (5-10 years), and investors must keep that long time horizon in mind when investing. While diversification does not ensure a profit or guarantee against loss, investors in Smart Beta may diversify across a mix of factors to address cyclical changes in factor performance. However, factors may have high or increasing correlation to each other.

The whole or any part of this work may not be reproduced, copied or transmitted or any of its contents disclosed to third parties without SSGA’s express written consent.

Backtested performance is not indicative of the past or future performance of any SSGA offering. The portion of results through the dates shown in the paper represents backtests of SSGA models which integrate ESG into equity portfolios using optimization based portfolio construction methods, which means that those results were achieved by means of the retroactive application of the model which was developed with the benefit of hindsight. All data shown above does not represent the results of actual trading, and in fact, actual results could differ substantially, and there is the potential for loss as well as profit. The performance does not reflect management fees, transaction costs, and other fees and expenses a client would have to pay, which reduce returns.

© 2019 State Street Corporation—All Rights Reserved.

2405914.1.1.GBL.INST

Expiration date 1/31/2020

Notes

1 The carbon pricing instruments put together by about 40 nations and over 20 sub-nations cover about 12% of the annual global GHG emissions. The world’s two largest emitters (US and China) are now home to carbon pricing instruments (see The Intergovernmental Panel on Climate Change’s 5th Synthesis Report: http://www.ipcc.ch/ar5/syr/)

2 The GIC was formed in December 2012, the joint initiative of four leading climate change investor groups—IIGCC (Europe), INCR (United States), IGCC (Australia & New Zealand) and AIGCC (Asia).

3 In fixed income, for instance, we would have to address mapping multiple bond issuances to the ESG databases. For equities, it is typically a one-to-one mapping.

4 Tracking error is defined as the standard deviation of monthly excess returns (where excess returns are defined as monthly index returns minus the returns of the cap weighted universe during the same month), annualized. For portfolio optimization, an ex ante estimate (forecast) of tracking error is used based on a risk model.

5 The RCPs have been developed using IAMs as input to a wide range of climate model simulations to project their consequences for the climate system. These climate projections, in turn, are used for impacts and adaptation assessment. The RCPs are consistent with the wide range of scenarios in the mitigation literature. The scenarios are used to assess the costs associated with emission reductions consistent with particular concentration pathways.

6 For average daily volume (ADV), we use the 20-day average. Trading (both buying and selling) in any single security is limited to 20% of its 20-day ADV.

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