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Long-range dependence in the international diamond market

Author

Listed:
  • Chong, Terence T.L.
  • Lu, Chenxi
  • Chan, Wing Hong
Abstract
This work endeavors to study the long-range dependence of the international diamond market. The results from the modified R/S statistic suggest that diamond returns do not have long memory, while strong evidence is found for long memory in diamond volatilities.

Suggested Citation

  • Chong, Terence T.L. & Lu, Chenxi & Chan, Wing Hong, 2012. "Long-range dependence in the international diamond market," Economics Letters, Elsevier, vol. 116(3), pages 401-403.
    • Handle: RePEc:eee:ecolet:v:116:y:2012:i:3:p:401-403
    DOI: 10.1016/j.econlet.2012.04.011
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    References listed on IDEAS

    as
    1. Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
    2. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    3. Crato, Nuno & de Lima, Pedro J. F., 1994. "Long-range dependence in the conditional variance of stock returns," Economics Letters, Elsevier, vol. 45(3), pages 281-285.
    4. Debora L. Spar, 2006. "Markets: Continuity and Change in the International Diamond Market," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 195-208, Summer.
    5. Sadique, Shibley & Silvapulle, Param, 2001. "Long-Term Memory in Stock Market Returns: International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 59-67, January.
    6. Breidt, F. Jay & Crato, Nuno & de Lima, Pedro, 1998. "The detection and estimation of long memory in stochastic volatility," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 325-348.
    7. Cheung, Yin-Wong, 1993. "Long Memory in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 93-101, January.
    8. Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
    9. Cheung, Yin-Wong & Lai, Kon S, 1993. "Do Gold Market Returns Have Long Memory?," The Financial Review, Eastern Finance Association, vol. 28(2), pages 181-202, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Rita Laura D’Ecclesia & Vera Jotanovic, 2018. "Are diamonds a safe haven?," Review of Managerial Science, Springer, vol. 12(4), pages 937-968, October.
    2. Terence Tai Leung Chong & Chenxi Lu & Wing Hong Chan, 2020. "Long Range Dependence And Structural Breaks In The Gold Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 257-273, March.
    3. Terence Tai Leung Chong & Chenxi Lu & Wing Hong Chan, 2017. "Long Range Dependence And Structural Breaks In The Gold Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 257-273, June.
    4. Low, Rand Kwong Yew & Yao, Yiran & Faff, Robert, 2016. "Diamonds vs. precious metals: What shines brightest in your investment portfolio?," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 1-14.

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    More about this item

    Keywords

    Long memory; Modified R/S statistic; Diamond market;
    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

    Statistics

    Access and download statistics

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