IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i7p270-d1424768.html
   My bibliography  Save this article

Comparative Analysis of Gold, Art, and Wheat as Inflation Hedges

Author

Listed:
  • Nguyen Thi Thanh Binh

    (Department of Accounting, Chaoyang University of Technology, 168 Jifong E. Road, Wufong District, Taichung City 41349, Taiwan)

Abstract

This study confirms gold’s role as a reliable inflation hedge while introducing new insights into lesser-explored assets like art and wheat. Using advanced methodologies such as the ARDL framework and LSTM deep learning, it conducts a detailed analysis of inflation-hedging dynamics, exploring non-linear relationships and unexpected inflation impacts across various asset classes. The findings reveal complex dynamics. Gold demonstrates strong long-term inflation hedging potential. The negative coefficient for the US dollar index suggests that gold acts as a hedge against currency depreciation. Furthermore, a positive relationship between gold returns and inflation during high inflation periods highlights its effectiveness in protecting purchasing power. Art presents a more intricate picture. Long-term analysis suggests a weak mean-reverting tendency, but a negative relationship with inflation, potentially linked to economic downturns. Interestingly, unexpected inflation positively correlates with art returns in the long run, hinting at its potential inflation-hedging abilities. No statistically significant connection between wheat prices and overall inflation was observed; the short-run analysis reveals a dynamic interplay between inflation, real GDP growth, and wheat prices at different time points.

Suggested Citation

  • Nguyen Thi Thanh Binh, 2024. "Comparative Analysis of Gold, Art, and Wheat as Inflation Hedges," JRFM, MDPI, vol. 17(7), pages 1-24, June.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:7:p:270-:d:1424768
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/7/270/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/17/7/270/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bampinas, Georgios & Panagiotidis, Theodore, 2016. "Hedging inflation with individual US stocks: A long-run portfolio analysis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 374-392.
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. Cetin Ciner, 2015. "Are equities good inflation hedges? A frequency domain perspective," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 12-17, January.
    4. Kuan-Min, Wang & Yuan-Ming, Lee & T.T.Binh, Nguyen, 2008. "Asymmetric Inflation Hedge of Housing Return: A Non-linear Vector Error Correction Approach," International Real Estate Review, Global Social Science Institute, vol. 11(1), pages 65-82.
    5. Chyi Lin Lee, 2014. "The inflation-hedging characteristics of Malaysian residential property," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 7(1), pages 61-75, February.
    6. Liu, Jinan & Valcarcel, Victor J., 2024. "Hedging inflation expectations in the cryptocurrency futures market," Journal of Financial Stability, Elsevier, vol. 70(C).
    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. Salisu, Afees A. & Ndako, Umar B. & Akanni, Lateef O., 2020. "New evidence for the inflation hedging potential of US stock returns," Finance Research Letters, Elsevier, vol. 37(C).
    2. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    3. Nassar S. Al-Nassar & Razzaque H. Bhatti, 2019. "Are common stocks a hedge against inflation in emerging markets?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(3), pages 421-455, July.
    4. Aqsha, Nur Suhairah & Masih, Mansur, 2018. "Is residential property the ultimate hedge against inflation ? new evidence from Malaysia based on ARDL and nonlinear ARDL," MPRA Paper 91508, University Library of Munich, Germany.
    5. Naveed Raza & Syed Jawad Hussain Shahzad & Muhammad Shahbaz & Aviral kumar Tiwari, 2017. "Modeling the nexus between oil shocks, inflation and commodity prices: Do Asymmetries really matter?," Economics Bulletin, AccessEcon, vol. 37(4), pages 2374-2383.
    6. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    7. Bruce Morley, 2009. "A Comparison of Two Alternative Monetary Approaches to Exchange Rate Determination over the Long-Run," International Econometric Review (IER), Econometric Research Association, vol. 1(2), pages 63-76, April.
    8. Villanthenkodath, Muhammed Ashiq & Mahalik, Mantu Kumar, 2021. "Does economic growth respond to electricity consumption asymmetrically in Bangladesh? The implication for environmental sustainability," Energy, Elsevier, vol. 233(C).
    9. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    10. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    11. Noraida, A.W. & Abdul-Rahim, A.S. & Othman, Mohd, 2017. "The Impact of Sustainable Forest Management (SFM) Practices on Primary Timber-Based Production in Peninsular Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(2), pages 143-154.
    12. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    13. Md.Yousuf & Raju Ahmed & Nasrin Akther Lubna & Shah Md. Sumon, 2019. "Estimating the Services Sector Impact on Economic Growth of Bangladesh: An Econometric Investigation," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(2), pages 62-72, June.
    14. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    15. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    16. Shuyang Chen, 2021. "The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    17. Boukraine, Wissem, 2020. "The finance-inequality nexus in the BRICS countries: evidence from an ARDL bound testing approach," MPRA Paper 101976, University Library of Munich, Germany.
    18. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.
    19. Ngoo Yee Ting & Loi Siew Ling, 2011. "Okun’S Law In Malaysia: An Autoregressive Distributed Lag (Ardl) Approach With Hodrick-Prescott (Hp) Filter," Journal of Global Business and Economics, Global Research Agency, vol. 2(1), pages 95-103, January.
    20. Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

    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:gam:jjrfmx:v:17:y:2024:i:7:p:270-:d:1424768. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.