IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_9586.html
   My bibliography  Save this paper

Persistence in the Passion Investment Market

Author

Listed:
  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana
  • Alex Plastun
  • Ahniia Havrylina

Abstract

This paper uses R/S analysis and fractional integration techniques to investigate persistence in the passion investment market. Specifically, it analyses 3 fine wine price indices, 10 diamond price indices, 15 art price indices, and 1 stamp price index at the daily, monthly and quarterly frequency. The results can be summarised as follows: wine prices are found to be highly persistent, whilst stamp prices appear to be only weakly persistent, though they can still be characterised as a long-memory process; as for diamond prices, they can be persistent (Diamonds & Gems), anti-persistent (Diamonds Carat indices) or even random (Polished Prices Diamond Index). The dynamic R/S analysis also shows that persistence is time-varying and tends to fluctuate around the average. These findings can be explained by the different degree of liquidity of the assets examined.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun & Ahniia Havrylina, 2022. "Persistence in the Passion Investment Market," CESifo Working Paper Series 9586, CESifo.
    • Handle: RePEc:ces:ceswps:_9586
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp9586.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Masset, Philippe & Henderson, Caroline, 2010. "Wine as an Alternative Asset Class," Journal of Wine Economics, Cambridge University Press, vol. 5(1), pages 87-118, April.
    2. Gil-Alana, Luis A. & Aye, Goodness C. & Gupta, Rangan, 2015. "Trends and cycles in historical gold and silver prices," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 98-109.
    3. Orley Ashenfelter & Kathryn Graddy, 2011. "Sale Rates and Price Movements in Art Auctions," American Economic Review, American Economic Association, vol. 101(3), pages 212-216, May.
    4. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.
    5. Elroy Dimson & Christophe Spaenjers, 2014. "Investing in Emotional Assets," Financial Analysts Journal, Taylor & Francis Journals, vol. 70(2), pages 20-25, March.
    6. Richard T. Baillie & Young-Wook Han & Robert J. Myers & Jeongseok Song, 2007. "Long Memory and FIGARCH Models for Daily and High Frequency Commodity Prices," Working Papers 594, Queen Mary University of London, School of Economics and Finance.
    7. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    8. Orley Ashenfelter & Kathryn Graddy, 2011. "Sale Rates and Price Movements in Art Auctions," American Economic Review, American Economic Association, vol. 101(3), pages 212-216, May.
    9. Khuntia, Sashikanta & Pattanayak, J.K., 2020. "Adaptive long memory in volatility of intra-day bitcoin returns and the impact of trading volume," Finance Research Letters, Elsevier, vol. 32(C).
    10. Jian Zhou & Zhixin Kang, 2011. "A Comparison of Alternative Forecast Models of REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 275-294, April.
    11. Bouri, Elie & Gupta, Rangan & Wong, Wing-Keung & Zhu, Zhenzhen, 2018. "Is wine a good choice for investment?," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 171-183.
    12. Rita Laura D’Ecclesia & Vera Jotanovic, 2018. "Are diamonds a safe haven?," Review of Managerial Science, Springer, vol. 12(4), pages 937-968, October.
    13. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
    14. Peter S. Sephton, 2009. "Fractional integration in agricultural futures price volatilities revisited," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 103-111, January.
    15. Anna Scherbina & Bernd Schlusche, 2014. "Asset price bubbles: a survey," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 589-604, April.
    16. Assaf, Ata & Kristoufek, Ladislav & Demir, Ender & Kumar Mitra, Subrata, 2021. "Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    17. Le Fur, Eric, 2020. "Dynamics of the global fine art market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 167-180.
    18. Liu, Jian & Cheng, Cheng & Yang, Xianglin & Yan, Lizhao & Lai, Yongzeng, 2019. "Analysis of the efficiency of Hong Kong REITs market based on Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    19. Hyun J. Jin & Darren L. Frechette, 2004. "Fractional Integration in Agricultural Futures Price Volatilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 432-443.
    20. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    21. Goodness C. Aye & Tsang Yao Chang & Wen†Yi Chen & Rangan Gupta & Mark Wohar, 2018. "Testing the Efficiency of the Art Market Using Quantile†Based Unit Root Tests with Sharp and Smooth Breaks," Manchester School, University of Manchester, vol. 86(4), pages 488-511, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Demirer, Riza & Gabauer, David & Gupta, Rangan & Nielsen, Joshua, 2024. "Gold, platinum and the predictability of bubbles in global stock markets," Resources Policy, Elsevier, vol. 90(C).
    2. Riza Demirer & David Gabauer & Rangan Gupta & Joshua Nielsen, 2023. "Gold-to-Platinum Price Ratio and the Predictability of Bubbles in Financial Markets," Working Papers 202317, University of Pretoria, Department of Economics.

    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. Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Assaf, Ata & Kristoufek, Ladislav & Demir, Ender & Kumar Mitra, Subrata, 2021. "Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    3. Fur, Eric Le, 2021. "Fine Wines in a Diversified Portfolio of Collectibles," 2021 Conference, August 17-31, 2021, Virtual 315852, International Association of Agricultural Economists.
    4. Eric Fur, 2023. "Risk and return of classic car market prices: passion or financial investment?," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 59-68, February.
    5. CHIA-LIN CHANG & MICHAEL McALEER & ROENGCHAI TANSUCHAT, 2012. "Modelling Long Memory Volatility In Agricultural Commodity Futures Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-27.
    6. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
    7. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan, 2019. "Stock market efficiency analysis using long spans of Data: A multifractal detrended fluctuation approach," Finance Research Letters, Elsevier, vol. 28(C), pages 398-411.
    8. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    9. Hachmi Ben Ameur & Zied Ftiti & Eric Le Fur, 2024. "What can we learn from the analysis of the fine wines market efficiency?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 703-718, January.
    10. Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
    11. Geoffrey Ngene & Ann Nduati Mungai & Allen K. Lynch, 2018. "Long-Term Dependency Structure and Structural Breaks: Evidence from the U.S. Sector Returns and Volatility," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-38, June.
    12. Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2017. "Long Memory and Data Frequency in Financial Markets," CESifo Working Paper Series 6396, CESifo.
    13. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    14. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Is market fear persistent? A long-memory analysis," Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
    15. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
    16. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
    17. Belma Öztürkkal & Aslı Togan-Eğrican, 2020. "Art investment: hedging or safe haven through financial crises," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 481-529, September.
    18. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    19. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    20. Manh Ha Nguyen & Olivier Darné, 2018. "Forecasting and risk management in the Vietnam Stock Exchange," Working Papers halshs-01679456, HAL.

    More about this item

    Keywords

    passion investment; persistence; long memory; R/S analysis; fractional integration;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ceswps:_9586. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.