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Fundamentals Efficiency of the Italian Stock Market: Some Long Run Evidence

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  • Giuseppe Alesii

    (Facolta di Economia, Universita di L'Aquila, Italy)

Abstract

A predictive regression approach is adopted to test fundamental efficiency of the Italian equities market on a new long run (1913 to 1999) time series of returns and fundamentals, namely dividend price, earnings price, and price to book. Univariate and vector autoregression significance is tested with Monte Carlo and bootstrapping simulation methods. Some evidence of predictability of stock returns is found especially with respect to the price to book ratio.

Suggested Citation

  • Giuseppe Alesii, 2006. "Fundamentals Efficiency of the Italian Stock Market: Some Long Run Evidence," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 5(3), pages 245-264, December.
    • Handle: RePEc:ijb:journl:v:5:y:2006:i:3:p:245-264
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    References listed on IDEAS

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    Cited by:

    1. Anna Pirogova & Antonio Roma, 2020. "Performance of value‐ and size‐based strategies in the Italian stock market," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(1), February.
    2. Romilda Mazzotta & Stefania Veltri, 2014. "The relationship between corporate governance and the cost of equity capital. Evidence from the Italian stock exchange," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 18(2), pages 419-448, May.
    3. Jeffrey E. Jarrett, 2008. "Predicting Daily Stock Returns: A Lengthy Study of the Hong Kong and Tokyo Stock Exchanges," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(1), pages 37-51, April.
    4. Francesco Campanella & Mario Mustilli & Eugenio D¡¯Angelo, 2016. "Efficient Market Hypothesis and Fundamental Analysis: An Empirical Test in the European Securities Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 27-42, February.
    5. Antonella Silvestri & Stefania Veltri, 2012. "A Test Of The Ohlson Model On The Italian Stock Exchange," Accounting & Taxation, The Institute for Business and Finance Research, vol. 4(1), pages 83-94.
    6. Antonio Roma, 2022. "Is the value effect due to M&A deals? Evidence from the Italian stock market," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(1), February.

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    More about this item

    Keywords

    dividend yield; price earning; price to book ratio; VAR; long horizon predictive regressions;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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