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2017 | OriginalPaper | Buchkapitel

Estimating Efficiency of Stock Return with Interval Data

verfasst von : Phachongchit Tibprasorn, Chatchai Khiewngamdee, Woraphon Yamaka, Songsak Sriboonchitta

Erschienen in: Robustness in Econometrics

Verlag: Springer International Publishing

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Abstract

Existing studies on capital asset pricing model (CAPM) have basically focused on point data which may not concern about the variability and uncertainty in the data. Hence, this paper suggests the approach that gains more efficiency, that is, the interval data in CAPM analysis. The interval data is applied to the copula-based stochastic frontier model to obtain the return efficiency. This approach has proved its efficiency through application in three stock prices: Apple, Facebook and Google.

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Literatur
1.
Zurück zum Zitat Kokkinou A (2009) Stochastic frontier analysis: empirical evidence on Greek productivity. In: 4th Hellenic observatory PhD symposium on contemporary Greece & Cyprus, LSE, London Kokkinou A (2009) Stochastic frontier analysis: empirical evidence on Greek productivity. In: 4th Hellenic observatory PhD symposium on contemporary Greece & Cyprus, LSE, London
2.
Zurück zum Zitat Hasan MZ, Kamil AA, Mustafa A, Baten MA (2012) Stochastic frontier model approach for measuring stock market efficiency with different distributions. PloS One 7(5):e37047CrossRef Hasan MZ, Kamil AA, Mustafa A, Baten MA (2012) Stochastic frontier model approach for measuring stock market efficiency with different distributions. PloS One 7(5):e37047CrossRef
3.
Zurück zum Zitat Tibprasorn P, Autchariyapanitkul K, Chaniam S, Sriboonchitta S (2015) A Copula-based stochastic frontier model for financial pricing. In: International symposium on integrated uncertainty in knowledge modeling and decision making. Springer International Publishing, Cham, pp 151–162 Tibprasorn P, Autchariyapanitkul K, Chaniam S, Sriboonchitta S (2015) A Copula-based stochastic frontier model for financial pricing. In: International symposium on integrated uncertainty in knowledge modeling and decision making. Springer International Publishing, Cham, pp 151–162
4.
Zurück zum Zitat Sharpe WF (1964) Capital asset prices: a theory of market equilibrium under conditions of risk. J Finan 19:425–442 Sharpe WF (1964) Capital asset prices: a theory of market equilibrium under conditions of risk. J Finan 19:425–442
5.
Zurück zum Zitat Neto EDAL, de Carvalho FDA (2008) Centre and range method for fitting a linear regression model to symbolic interval data. Comput Stat Data Anal 52(3):1500–1515MathSciNetCrossRefMATH Neto EDAL, de Carvalho FDA (2008) Centre and range method for fitting a linear regression model to symbolic interval data. Comput Stat Data Anal 52(3):1500–1515MathSciNetCrossRefMATH
6.
Zurück zum Zitat Neto EDAL, de Carvalho FDA (2010) Constrained linear regression models for symbolic interval-valued variables. Comput Stat Data Anal 54(2):333–347MathSciNetCrossRefMATH Neto EDAL, de Carvalho FDA (2010) Constrained linear regression models for symbolic interval-valued variables. Comput Stat Data Anal 54(2):333–347MathSciNetCrossRefMATH
7.
Zurück zum Zitat Rodrigues PM, Salish N (2015) Modeling and forecasting interval time series with threshold models. Adv Data Anal Classif 9(1):41–57MathSciNetCrossRef Rodrigues PM, Salish N (2015) Modeling and forecasting interval time series with threshold models. Adv Data Anal Classif 9(1):41–57MathSciNetCrossRef
8.
Zurück zum Zitat Piamsuwannakit S, Autchariyapanitkul K, Sriboonchitta S, Ouncharoen R (2015) Capital asset pricing model with interval data. In: International symposium on integrated uncertainty in knowledge modeling and decision making. Springer International Publishing, Cham, pp 163–170 Piamsuwannakit S, Autchariyapanitkul K, Sriboonchitta S, Ouncharoen R (2015) Capital asset pricing model with interval data. In: International symposium on integrated uncertainty in knowledge modeling and decision making. Springer International Publishing, Cham, pp 163–170
9.
Zurück zum Zitat Billard L, Diday, E (2000) Regression analysis for interval-valued data. Data analysis, classification and related methods. In: Proceedings of the seventh conference of the international federation of classification societies (IFCS00). Springer, Belgium, pp 369–374 Billard L, Diday, E (2000) Regression analysis for interval-valued data. Data analysis, classification and related methods. In: Proceedings of the seventh conference of the international federation of classification societies (IFCS00). Springer, Belgium, pp 369–374
10.
Zurück zum Zitat Billard L, Diday E (2002) Symbolic regression analysis. Classification, clustering and data analysis. In: Proceedings of the eighth conference of the international federation of classification societies (IFCS02), Springer, Poland, pp 281–288 Billard L, Diday E (2002) Symbolic regression analysis. Classification, clustering and data analysis. In: Proceedings of the eighth conference of the international federation of classification societies (IFCS02), Springer, Poland, pp 281–288
11.
12.
Zurück zum Zitat Smith MD (2004) Stochastic frontier models with correlated error components. The University of Sydney Smith MD (2004) Stochastic frontier models with correlated error components. The University of Sydney
13.
Zurück zum Zitat Wiboonpongse A, Liu J, Sriboonchitta S, Denoeux T (2015) Modeling dependence between error components of the stochastic frontier model using Copula: application to inter crop coffee production in Northern Thailand frontier. Int J Approx Reason 65:33–34CrossRefMATH Wiboonpongse A, Liu J, Sriboonchitta S, Denoeux T (2015) Modeling dependence between error components of the stochastic frontier model using Copula: application to inter crop coffee production in Northern Thailand frontier. Int J Approx Reason 65:33–34CrossRefMATH
14.
Zurück zum Zitat Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econ 38(3):387–399MathSciNetCrossRef Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econ 38(3):387–399MathSciNetCrossRef
15.
Zurück zum Zitat Jensen MC (1968) The performance of mutual funds in the period 1945–1964. J Finan 23(2):389–416CrossRef Jensen MC (1968) The performance of mutual funds in the period 1945–1964. J Finan 23(2):389–416CrossRef
Metadaten
Titel
Estimating Efficiency of Stock Return with Interval Data
verfasst von
Phachongchit Tibprasorn
Chatchai Khiewngamdee
Woraphon Yamaka
Songsak Sriboonchitta
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-50742-2_41

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