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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) 
Trigueiros, D. (2019). Improving the effectiveness of predictors in accounting-based models. Journal of Applied Accounting Research. 20 (2), 207-226
Exportar Referência (IEEE) 
D. M. Trigueiros,  "Improving the effectiveness of predictors in accounting-based models", in Journal of Applied Accounting Research, vol. 20, no. 2, pp. 207-226, 2019
Exportar BibTeX 
@article{trigueiros2019_1775859561825,
	author = "Trigueiros, D.",
	title = "Improving the effectiveness of predictors in accounting-based models",
	journal = "Journal of Applied Accounting Research",
	year = "2019",
	volume = "20",
	number = "2",
	doi = "10.1108/JAAR-01-2018-0006",
	pages = "207-226",
	url = "https://www.emeraldinsight.com/doi/abs/10.1108/JAAR-01-2018-0006"
}
Exportar RIS 
TY  - JOUR
TI  - Improving the effectiveness of predictors in accounting-based models
T2  - Journal of Applied Accounting Research
VL  - 20
IS  - 2
AU  - Trigueiros, D.
PY  - 2019
SP  - 207-226
SN  - 0967-5426
DO  - 10.1108/JAAR-01-2018-0006
UR  - https://www.emeraldinsight.com/doi/abs/10.1108/JAAR-01-2018-0006
AB  - Financial ratios are routinely used as predictors in modelling tasks where accounting information is required. The purpose of this paper is to discuss such use, showing how to improve the effectiveness of ratio-based models. First, the paper exposes the inadequacies of ratios when used as multivariate predictors and then develops a theoretical foundation and methodology to build accounting-based models. From plausible assumptions about the cross-sectional behaviour of accounting data, the paper shows that the effect of size, which ratios remove, can also be removed by modelling algorithms, which facilitates the discovery of meaningful predictors and leads to markedly more effective models. Experiments verify that the new methodology outperforms the conventional methodology, the need to select ratios among many alternatives is avoided, and model construction is less arbitrary. The new methodology can end the uncritical use of modelling remedies currently prevailing and release the full relevance of accounting information when utilised to support investments and other value-bearing decisions.
ER  -