IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v33y2020i3p1184-1216..html
   My bibliography  Save this article

Hedging Climate Change News

Author

Listed:
  • Robert F Engle
  • Stefano Giglio
  • Bryan Kelly
  • Heebum Lee
  • Johannes Stroebel

Abstract

We propose and implement a procedure to dynamically hedge climate change risk. We extract innovations from climate news series that we construct through textual analysis of newspapers. We then use a mimicking portfolio approach to build climate change hedge portfolios. We discipline the exercise by using third-party ESG scores of firms to model their climate risk exposures. We show that this approach yields parsimonious and industry-balanced portfolios that perform well in hedging innovations in climate news both in sample and out of sample. We discuss multiple directions for future research on financial approaches to managing climate risk.

Suggested Citation

  • Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.
  • Handle: RePEc:oup:rfinst:v:33:y:2020:i:3:p:1184-1216.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhz072
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lamont, Owen A., 2001. "Economic tracking portfolios," Journal of Econometrics, Elsevier, vol. 105(1), pages 161-184, November.
    2. Huberman, Gur & Kandel, Shmuel & Stambaugh, Robert F, 1987. "Mimicking Portfolios and Exact Arbitrage Pricing," Journal of Finance, American Finance Association, vol. 42(1), pages 1-9, March.
    3. Hong, Harrison & Kostovetsky, Leonard, 2012. "Red and blue investing: Values and finance," Journal of Financial Economics, Elsevier, vol. 103(1), pages 1-19.
    4. Douglas T. Breeden & Michael R Gibbons & Robert H. Litzenberger, "undated". "Empirical Tests of the Consumption-Oriented CAPM," Rodney L. White Center for Financial Research Working Papers 07-89, Wharton School Rodney L. White Center for Financial Research.
    5. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    6. Laura A. Bakkensen & Lint Barrage, 2017. "Flood Risk Belief Heterogeneity and Coastal Home Price Dynamics: Going Under Water?," NBER Working Papers 23854, National Bureau of Economic Research, Inc.
    7. Balduzzi, Pierluigi & Robotti, Cesare, 2008. "Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 354-368.
    8. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    9. repec:bla:jfinan:v:44:y:1989:i:2:p:231-62 is not listed on IDEAS
    10. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    11. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    12. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    13. Stefano Giglio & Matteo Maggiori & Johannes Stroebel, 2015. "Editor's Choice Very Long-Run Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 1-53.
    14. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    15. Douglas T. Breeden & Michael R Gibbons & Robert H. Litzenberger, "undated". "Empirical Tests of the Consumption-Oriented CAPM," Rodney L. White Center for Financial Research Working Papers 7-89, Wharton School Rodney L. White Center for Financial Research.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    2. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    3. Kim, Jinyong & Kim, Kun Ho & Lee, Jeong Hwan, 2021. "Cross-sectional tests of asset pricing models with full-rank mimicking portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Abankwa, Samuel & Blenman, Lloyd P., 2021. "Measuring liquidity risk effects on carry trades across currencies and regimes," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    5. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    6. Avanidhar Subrahmanyam, 2010. "The Cross†Section of Expected Stock Returns: What Have We Learnt from the Past Twenty†Five Years of Research?," European Financial Management, European Financial Management Association, vol. 16(1), pages 27-42, January.
    7. Wayne E. Ferson & Andrew F. Siegel & Pisun (Tracy) Xu, 2005. "Mimicking Portfolios with Conditioning Information," NBER Working Papers 11020, National Bureau of Economic Research, Inc.
    8. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.
    9. Balduzzi, Pierluigi & Robotti, Cesare, 2010. "Asset pricing models and economic risk premia: A decomposition," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 54-80, January.
    10. Boons, Martijn, 2016. "State variables, macroeconomic activity, and the cross section of individual stocks," Journal of Financial Economics, Elsevier, vol. 119(3), pages 489-511.
    11. Nadler, Philip & Guo, Yike, 2020. "The fair value of a token: How do markets price cryptocurrencies?," Research in International Business and Finance, Elsevier, vol. 52(C).
    12. Lamont, Owen A., 2001. "Economic tracking portfolios," Journal of Econometrics, Elsevier, vol. 105(1), pages 161-184, November.
    13. João Pedro Pereira & António Rua, 2018. "Asset Pricing with a Bank Risk Factor," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 993-1032, August.
    14. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    15. Du, Ding & Denning, Karen & Zhao, Xiaobing, 2012. "Real aggregate activity and stock returns," Journal of Economics and Business, Elsevier, vol. 64(5), pages 323-337.
    16. Tu, Teng-Tsai, 1998. "An entropic approach to equity market integration and consumption-based capital asset pricing models," ISU General Staff Papers 1998010108000012895, Iowa State University, Department of Economics.
    17. Frank Weikai Li, 2016. "Macro Disagreement and the Cross-Section of Stock Returns," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 6(1), pages 1-45.
    18. Liu, Weimin & Luo, Di & Zhao, Huainan, 2016. "Transaction costs, liquidity risk, and the CCAPM," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 126-145.
    19. Balduzzi, Pierluigi & Robotti, Cesare, 2008. "Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 354-368.
    20. Boons, Martijn & Duarte, Fernando & de Roon, Frans & Szymanowska, Marta, 2020. "Time-varying inflation risk and stock returns," Journal of Financial Economics, Elsevier, vol. 136(2), pages 444-470.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rfinst:v:33:y:2020:i:3:p:1184-1216.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.