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Independently Certified Industry‐specific Disclosures to the Capital Market: The JORC Code in the Australian Mining Industry

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  • Dean Katselas
  • Baljit K. Sidhu
  • Tom Smith
  • Chuan Yu

Abstract

We investigate compliance with the Australian JORC Code for reporting mineral resources and ore reserves, the quality of the disclosure, and its impact on the capital market. The compliance and quality assessment is conducted by two experienced geologists who find that while the overall reporting quality improved after the 2012 revisions to the Code, they disagree on the extent of improvement. This reflects the uncertainties involved and the difficulty in interpreting the reports. Both geologists agree that the greatest improvement is seen in early‐stage projects, consistent with the expectation that there are more uncertainties surrounding these, and the additional information disclosed under the 2012 JORC Code appears to assist in reducing the uncertainties to some extent. The capital markets study shows that JORC announcements have a significant impact on investors’ assessments of firm value, and that the announcement impact is higher after the 2012 revisions designed to strengthen the disclosure requirements. This is consistent with post‐2012 JORC reports conveying higher information content. There continues to be information leakage prior to announcement date. Further tests show a widening of bid–ask spreads in the post‐2012 period, suggestive of higher information asymmetry. While the probability of informed trading declines for large firms, it remains statistically unchanged for the rest of the sample. The findings reiterate the need for regulators and standard setters to be cognisant of unintended consequences of their decisions. The substantiation process under JORC involves a delay in the release of ‘news’, a ‘chilling’ effect with larger announcement effects.

Suggested Citation

  • Dean Katselas & Baljit K. Sidhu & Tom Smith & Chuan Yu, 2019. "Independently Certified Industry‐specific Disclosures to the Capital Market: The JORC Code in the Australian Mining Industry," Abacus, Accounting Foundation, University of Sydney, vol. 55(1), pages 128-179, March.
    • Handle: RePEc:bla:abacus:v:55:y:2019:i:1:p:128-179
    DOI: 10.1111/abac.12153
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    as
    1. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    2. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    3. Ron Bird & Matthew Grosse & Danny Yeung, 2013. "The market response to exploration, resource and reserve announcements by mining companies: Australian data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 311-331, August.
    4. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    5. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    6. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 171-207, Spring.
    7. Akay, Ozgur (Ozzy) & Cyree, Ken B. & Griffiths, Mark D. & Winters, Drew B., 2012. "What does PIN identify? Evidence from the T-bill market," Journal of Financial Markets, Elsevier, vol. 15(1), pages 29-46.
    8. 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.
    9. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    10. Aslan, Hadiye & Easley, David & Hvidkjaer, Soeren & O'Hara, Maureen, 2011. "The characteristics of informed trading: Implications for asset pricing," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 782-801.
    11. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    12. Huang, Roger D. & Stoll, Hans R., 2001. "Tick Size, Bid-Ask Spreads, and Market Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 503-522, December.
    13. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    14. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    15. Grantley Taylor & Grant Richardson & Greg Tower & Phil Hancock, 2012. "The determinants of reserves disclosure in the extractive industries: evidence from Australian firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52, pages 373-402, October.
    16. Kenneth W. Clements & Liang Li, 2014. "Valuing Resource Investments," Economics Discussion / Working Papers 14-27, The University of Western Australia, Department of Economics.
    17. Dean Katselas & Baljit K. Sidhu & Chuan Yu & Tom Smith, 2016. "Merging time-series Australian data across databases: challenges and solutions," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(4), pages 1071-1095, December.
    18. Philip Brown & Alexey Feigin & Andrew Ferguson, 2014. "Market reactions to the reports of a star resource analyst," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 137-158, February.
    19. Ferguson, Andrew & Feigin, Alexey & Kean, Stephen, 2013. "Gold mine feasibility study disclosure in Australia: Determinants and implications," Resources Policy, Elsevier, vol. 38(1), pages 8-17.
    20. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    21. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    22. Bollen, Nicolas P. B. & Smith, Tom & Whaley, Robert E., 2004. "Modeling the bid/ask spread: measuring the inventory-holding premium," Journal of Financial Economics, Elsevier, vol. 72(1), pages 97-141, April.
    23. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
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    1. Dean Katselas & Baljit K. Sidhu & Chuan Yu, 2021. "Liquidity and information asymmetry around unscheduled mining announcements," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3053-3087, June.

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