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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ferreira, N. B., Souza, F. M. & Souza, A. (2014). PSI-20 portfolio efficiency analysis with SFA. International Journal of Latest Trends in Finance and Economics Sciences. 4 (3), 785-789
Exportar Referência (IEEE) 
N. R. Ferreira et al.,  "PSI-20 portfolio efficiency analysis with SFA", in Int. Journal of Latest Trends in Finance and Economics Sciences, vol. 4, no. 3, pp. 785-789, 2014
Exportar BibTeX 
@article{ferreira2014_1733302177244,
	author = "Ferreira, N. B. and Souza, F. M. and Souza, A.",
	title = "PSI-20 portfolio efficiency analysis with SFA",
	journal = "International Journal of Latest Trends in Finance and Economics Sciences",
	year = "2014",
	volume = "4",
	number = "3",
	pages = "785-789",
	url = "http://ojs.excelingtech.co.uk/index.php/IJLTFES"
}
Exportar RIS 
TY  - JOUR
TI  - PSI-20 portfolio efficiency analysis with SFA
T2  - International Journal of Latest Trends in Finance and Economics Sciences
VL  - 4
IS  - 3
AU  - Ferreira, N. B.
AU  - Souza, F. M.
AU  - Souza, A.
PY  - 2014
SP  - 785-789
SN  - 2047-0916
UR  - http://ojs.excelingtech.co.uk/index.php/IJLTFES
AB  - The determination of the study was to assess the technical efficiency of the individual companies and their respective groups of the Portuguese stock market. In order to achieve that were combined the input variables “market value and return” with exogenous variables such as “interest income," “depreciation," “cost of goods," “employees” and “net sales” in a Stochastic Frontier Analysis  model. The technical efficiency of the PSI-20 enterprises index was estimated discovering the factors which assurance to efficiency variability, applying the SFA approach main improvement which lies in its potential to categorize between measurement error and systematic inefficiencies in the estimation process. The results revealed that the technical efficiency is higher for the enterprises in industry, construction and distribution economic sectors whereas the commercial banking sector has the lowest technical efficiency scores. The “employees” and “depreciation” variables are the elements that most enhance to the stock market inefficiency.
ER  -