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Linear and nonlinear models for the analysis of the relationship between stock market prices and macroeconomic and financial factors

Author

Listed:
  • Andreia Dionisio

    (University of Evora, Portugal)

  • Rui Menezes

    (ISCTE, Portugal)

  • Diana A. Mendes

    (ISCTE, Portugal)

  • Jacinto Vidigal da Silva

    (University of Evora, Portugal)

Abstract

The main objective of this paper is to assess how mutual information as a measure of global dependence between stock markets and macroeconomic factors can overcome some of the weaknesses of the traditional linear approaches commonly used in this context. One of the advantages of mutual information is that it does not require any prior assumption regarding the specification of a theoretical probability distribution or the specification of the dependence model. This study focuses on the Portuguese stock market where we evaluate the relevance of the macroeconomic and financial variables as determinants of the stock prices behaviour.

Suggested Citation

  • Andreia Dionisio & Rui Menezes & Diana A. Mendes & Jacinto Vidigal da Silva, 2004. "Linear and nonlinear models for the analysis of the relationship between stock market prices and macroeconomic and financial factors," Econometrics 0411018, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0411018
    Note: Type of Document - pdf; pages: 18
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    nonlinear dependence; stock market; financial and macroeconomic factors;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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