Anticipated series average monthly price of gold in using the time series of software Minitab

  • Authors

    • Shaban Mohammadi Department of Accounting, Quchan Branch, Payam noorUniversity, Quchan, Iran
    • Mohammad Khademi
    2015-03-21
    https://doi.org/10.14419/ijaes.v3i1.4397

  • We can study the statistics, basic research to get the needs arising in different fields get considered.after knowing the statistics obtained from the trust issue is investigated, which is considered to be important. procedures because it is true that the correct result is achieved. and concluded with a detailed study on the mode of research is to identify the needs of current and non-current sources can be required by a suitable method found.the problem considered in this study in relation to the expected range of average monthly price of gold on the London market in terms of dollars.we are gathered here with the predicted theoretical and practical knowledge to study and time series methods described above.

  • References

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      [13] Frankfurter George M. and G. McGoun Elton., Market Efficien cy or Behavioral Finance: The Nature of the Debate, The Journal of Psychology and Financial Markets, Vol.1, Nos. 3 & 4, 2000 pp. 200-210 http://dx.doi.org/10.1207/S15327760JPFM0134_5.

      [14] Shiller Robert J., Tools for Financial Innovation: Neoclassical Ver sus Behavioral Finance, the Financial Review 41, 2006, pp.1-8. http://dx.doi.org/10.1111/j.1540-6288.2006.00129.x.

      [15] Waller W.S., Auditors' Assessments of Inherent Risk and Con trol Risk in Field Settings, The Accounting Review, Vol. 68, No. 4, October, pp.583–803, 1993.

      [16] The Commission of the European Communities, Commission Rec ommendation of 6 May 2003 Concerning the Definition of Micro, Small and Medium-sized Enterprises, Official Journal of the Euro pean Union L124, Vol. 46, 2003, pp. 36-41, p. 39.

      [17] Jose ML, C. Lancaster, and JL Stevens, Corporate Returns and Cash ConversionCycles, Journal of Economics and Finance. 20 (1), pp. 33-46, 1996. http://dx.doi.org/10.1007/BF02920497.

      [18] Deloof M., Does Working Capital Management Affect Profitabil ity of Belgian Firms? Journal of Business, Finance and Accounting, 2003, pp. 573-587. http://dx.doi.org/10.1111/1468-5957.00008.

      [19] Mixtures with Discounting Learning Algorithms, Data Mining and Knowledge Discovery, Vol. 8, 2004, pp. 275–300. http://dx.doi.org/10.1023/B:DAMI.0000023676.72185.7c

      [20] [20] Yue D., X. Wu, Y. Wang, Y. Li and C. Chu, A Review of Data Min ing-based Financial Fraud Detection Research, International Confer ence on Wireless Communications, Networking and Mobile Compu ting, 2007, pp. 5519–5522.

      [21] Zhang D. and L. Zhou, Discovering Golden Nuggets: Data Min ing in Financial Application, IEEE Transactions on Systems, Man and Cybernetics, Vol. 34(4), 2004, pp.513-522. http://dx.doi.org/10.1109/TSMCC.2004.829279.

      [22] Zhou W., G. Kapoor, Detecting Evolutionary Financial State ment Fraud, Decision Support Systems, Vol. 50(3), 2011, pp. 570-576 http://dx.doi.org/10.1016/j.dss.2010.08.007.

      [23] Brown CE, Expert Systems in Public Accounting: Current Prac tice and Future Directions, Expert Systems with Applications, 3 (1), 1991, 3-18. http://dx.doi.org/10.1016/0957-4174(91)90084-R.

      [24] Connell NAD, Expert Systems in Accountancy: A Review of Some Recent Applications, Accounting and Business Research, 17 (67), 1987, 221-233. http://dx.doi.org/10.1080/00014788.1987.9729802.

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  • How to Cite

    Mohammadi, S., & Khademi, M. (2015). Anticipated series average monthly price of gold in using the time series of software Minitab. International Journal of Accounting and Economics Studies, 3(1), 36-43. https://doi.org/10.14419/ijaes.v3i1.4397