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Dionisio, A., Mendes, D.A., Menezes, R. & Silva, J.V. (2005). Linear and nonlinear dependence models of stock market returns. Social Science Research Network.
A. T. Dionisio et al., "Linear and nonlinear dependence models of stock market returns", in Social Science Research Network, 2005
@article{dionisio2005_1734525558117, author = "Dionisio, A. and Mendes, D.A. and Menezes, R. and Silva, J.V.", title = "Linear and nonlinear dependence models of stock market returns", journal = "Social Science Research Network", year = "2005", volume = "", number = "", doi = "10.2139/ssrn.668001", url = "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=668001&rec=1&srcabs=876556&alg=7&pos=9" }
TY - JOUR TI - Linear and nonlinear dependence models of stock market returns T2 - Social Science Research Network AU - Dionisio, A. AU - Mendes, D.A. AU - Menezes, R. AU - Silva, J.V. PY - 2005 SN - 1556-5068 DO - 10.2139/ssrn.668001 UR - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=668001&rec=1&srcabs=876556&alg=7&pos=9 AB - 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. ER -