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Practitioners' Tools in Analysing Financial Markets Evolution

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  • Mihaela Nicolau

    (Danubius University of Galati & Facoltà di Economia “G. Fuà”, Università Politecnica delle Marche)

Abstract

In a chaotic and confusing place as world of investing is, the practitioners, who operate on markets every day, have continuously searched to forecast properly the market movements. More minded to financial speculations, practitioners analyse financial markets looking for potential weaknesses of the Efficient Market Hypothesis, and most of the times their methods are criticised by academics. This article intends to present the traditional tools used by traders and brokers in analysing financial markets, emphasizing on critical opinions and scientific works published on this argument by now.

Suggested Citation

  • Mihaela Nicolau, 2010. "Practitioners' Tools in Analysing Financial Markets Evolution," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 3(3), pages 83-104, August.
  • Handle: RePEc:dug:actaec:y:2010:i:3:p:83-104
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    References listed on IDEAS

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    1. Lim, Edward S. & Gallo, John G. & Swanson, Peggy E., 1998. "The relationship between international bond markets and international stock markets," International Review of Financial Analysis, Elsevier, vol. 7(2), pages 181-190.
    2. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    3. Westerhoff, Frank & Reitz, Stefan, 2005. "Commodity price dynamics and the nonlinear market impact of technical traders: empirical evidence for the US corn market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 641-648.
    4. Lui, Yu-Hon & Mole, David, 1998. "The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 535-545, June.
    5. De Bondt, Werner F M & Thaler, Richard H, 1989. "A Mean-Reverting Walk Down Wall Street," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 189-202, Winter.
    6. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    7. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    8. Westerhoff, Frank, 2003. "Speculative markets and the effectiveness of price limits," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 493-508, December.
    9. Neftci, Salih N, 1991. "Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of "Technical Analysis."," The Journal of Business, University of Chicago Press, vol. 64(4), pages 549-571, October.
    10. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    11. Edirisinghe, N.C.P. & Zhang, X., 2007. "Generalized DEA model of fundamental analysis and its application to portfolio optimization," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3311-3335, November.
    12. Chorafas, Dimitris N., 2005. "The Management of Bond Investments and Trading of Debt," Elsevier Monographs, Elsevier, edition 1, number 9780750667265.
    13. 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.
    14. Bailey,Roy E., 2005. "The Economics of Financial Markets," Cambridge Books, Cambridge University Press, number 9780521612807.
    15. Brock, W.A. & Hommes, C.H., 1997. "Models of Compelxity in Economics and Finance," Working papers 9706, Wisconsin Madison - Social Systems.
    16. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
    17. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Does intraday technical analysis in the U.S. equity market have value?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 199-210, March.
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    Cited by:

    1. Nicoleta Barbuta-Misu, 2012. "Aggregated Index for Modelling the Influence of Financial Variables on Enterprise Performance," EuroEconomica, Danubius University of Galati, issue 2(31), pages 155-165, May.

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    More about this item

    Keywords

    Efficient Market Hypothesis; financial market analysis; fundamental analysis; technical analysis;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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