IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v16y1991i2p145-163.html
   My bibliography  Save this article

Inflation Insurance for Australian Annuitants

Author

Listed:
  • Andrew Formica

    (AMP Society, 1–3 Alfred Street, Circular Quay NSW 2000.)

  • Geoffrey Kingston

    (Department of Economics University of New South Wales Kensington NSW 2033.)

Abstract

In the burgeoning market for immediate annuities, products offering payments escalated at a fixed rate of 5% per year have been greatly outselling their CPI-indexed counterparts, thanks to the lure of high early payments. Modifying recent analogies between inflation insurance of annuity streams and sequences of call options on synthetic CPI futures, we estimate the cost of insuring fixed-escalation annuity streams against prespecified drops in purchasing power. With such insurance, annuitants could enjoy reasonably high early payments without risking an inordinately low standard of living after some years of sustained high inflation, or towards the end of a long life.

Suggested Citation

  • Andrew Formica & Geoffrey Kingston, 1991. "Inflation Insurance for Australian Annuitants," Australian Journal of Management, Australian School of Business, vol. 16(2), pages 145-163, December.
  • Handle: RePEc:sae:ausman:v:16:y:1991:i:2:p:145-163
    DOI: 10.1177/031289629101600203
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289629101600203
    Download Restriction: no

    File URL: https://libkey.io/10.1177/031289629101600203?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    2. Bateman, H. & Frisch, J. & Kingston, G. & Piggott, J., 1990. "Demographics, Retirement Saving, And Superannuation Policy: An Australian Perspective," CEPR Discussion Papers 241, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    3. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. McMillan, David G. & Speight, Alan E. H., 2001. "Non-ferrous metals price volatility: a component analysis," Resources Policy, Elsevier, vol. 27(3), pages 199-207, September.
    2. Szakmary, Andrew & Ors, Evren & Kyoung Kim, Jin & Davidson, Wallace III, 2003. "The predictive power of implied volatility: Evidence from 35 futures markets," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2151-2175, November.
    3. Dew-Becker, Ian & Giglio, Stefano & Kelly, Bryan, 2021. "Hedging macroeconomic and financial uncertainty and volatility," Journal of Financial Economics, Elsevier, vol. 142(1), pages 23-45.
    4. Jian Yang & Titus Awokuse, 2003. "Asset storability and hedging effectiveness in commodity futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 487-491.
    5. Christian Hertrich, 2013. "Asset Allocation Considerations for Pension Insurance Funds," Springer Books, Springer, edition 127, number 978-3-658-02167-2, March.
    6. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    7. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    8. Deuskar, Prachi & Gupta, Anurag & Subrahmanyam, Marti G., 2011. "Liquidity effect in OTC options markets: Premium or discount?," Journal of Financial Markets, Elsevier, vol. 14(1), pages 127-160, February.
    9. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," Post-Print hal-01411687, HAL.
    10. Martina Assereto & Julie Byrne, 2020. "The Implications of Policy Uncertainty on Solar Photovoltaic Investment," Energies, MDPI, vol. 13(23), pages 1-20, November.
    11. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.
    12. Swarn Chatterjee & Amy Hubble, 2016. "Day-Of-The-Week Effect In Us Biotechnology Stocks — Do Policy Changes And Economic Cycles Matter?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-17, June.
    13. Bruno Solnik, 1991. "Finance Theory and Investment Management," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 127(III), pages 303-324, September.
    14. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, January.
    15. Brock Johnson & Jonathan Batten, 2003. "Forecasting Credit Spread Volatility: Evidence from the Japanese Eurobond Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(4), pages 335-357, December.
    16. René Carmona, 2022. "The influence of economic research on financial mathematics: Evidence from the last 25 years," Finance and Stochastics, Springer, vol. 26(1), pages 85-101, January.
    17. Lei, Li-Fen, 1992. "Using futures and option contracts to manage price and quantity risk: A case of corn farmers in central Iowa," ISU General Staff Papers 1992010108000011326, Iowa State University, Department of Economics.
    18. Mishkin, Frederic S, 1990. "Can Futures Market Data Be Used to Understand the Behavior of Real Interest Rates?," Journal of Finance, American Finance Association, vol. 45(1), pages 245-257, March.
    19. Li, Bingxin, 2019. "Pricing dynamics of natural gas futures," Energy Economics, Elsevier, vol. 78(C), pages 91-108.
    20. Algieri, Bernardina, 2014. "The influence of biofuels, economic and financial factors on daily returns of commodity futures prices," Energy Policy, Elsevier, vol. 69(C), pages 227-247.

    More about this item

    Keywords

    ANNUITIES; OPTIONS; CPI;
    All these keywords.

    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:sae:ausman:v:16:y:1991:i:2:p:145-163. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.