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Abstrak :
[ABSTRAK
Penelitian ini bertujuan untuk menguji apakah strategi pemilihan aset dalam portofolio yang didasarkan pada informasi pertumbuhan pendapatan historis (4Q, 8Q, dan 12Q terakhir) mampu menghasilkan abnormal return atau tidak. Setiap portofolio yang dibentuk kemudian di-hold dengan masa kepemilikkan 1M, 3M, 6M, 9M, dan 12M. Gross return dari setiap portofolio kemudian dievaluasi dengan model fama-french three factors, carhart four factors, dan fama-french five factors. Hasilnya, diperoleh nilai abnormal return yang negatif dan konsisten dari saham-saham yang mencatatkan pertumbuhan pendapatan rendah pada ketiga periode pengamatan dan terkoreksi dalam 9M hingga 12M. Sedangkan saham yang mencatatkan pertumbuhan pendapatan tinggi hanya mencatatkan nilai abnormal return yang negatif dari periode pengamatan jangka menengah (8Q) dan terkoreksi dalam 1M hingga 12M.

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ABSTRACT
This paper aimed to test whether stock selection strategy based on revenue growth announcement information (last 4Q, 8Q, and 12Q) could generate abnormal return or not. Holding periods for every formed portfolio are 1M, 3M, 6M, 9M, and 12M. Each portfolio gross return then evaluated with fama-french three factors model, carhart four factors model, and fama-french five factors model. Results show that negative alpha consistently generated from stocks with low revenue growth from three observation period then corrected in 9M to 12M holding period. While stocks with high revenue growth had generated same result but only from medium term observation period then corrected in 1M to 12M holding period.;This paper aimed to test whether stock selection strategy based on revenue growth announcement information (last 4Q, 8Q, and 12Q) could generate abnormal return or not. Holding periods for every formed portfolio are 1M, 3M, 6M, 9M, and 12M. Each portfolio gross return then evaluated with fama-french three factors model, carhart four factors model, and fama-french five factors model. Results show that negative alpha consistently generated from stocks with low revenue growth from three observation period then corrected in 9M to 12M holding period. While stocks with high revenue growth had generated same result but only from medium term observation period then corrected in 1M to 12M holding period.;This paper aimed to test whether stock selection strategy based on revenue growth announcement information (last 4Q, 8Q, and 12Q) could generate abnormal return or not. Holding periods for every formed portfolio are 1M, 3M, 6M, 9M, and 12M. Each portfolio gross return then evaluated with fama-french three factors model, carhart four factors model, and fama-french five factors model. Results show that negative alpha consistently generated from stocks with low revenue growth from three observation period then corrected in 9M to 12M holding period. While stocks with high revenue growth had generated same result but only from medium term observation period then corrected in 1M to 12M holding period.;This paper aimed to test whether stock selection strategy based on revenue growth announcement information (last 4Q, 8Q, and 12Q) could generate abnormal return or not. Holding periods for every formed portfolio are 1M, 3M, 6M, 9M, and 12M. Each portfolio gross return then evaluated with fama-french three factors model, carhart four factors model, and fama-french five factors model. Results show that negative alpha consistently generated from stocks with low revenue growth from three observation period then corrected in 9M to 12M holding period. While stocks with high revenue growth had generated same result but only from medium term observation period then corrected in 1M to 12M holding period., This paper aimed to test whether stock selection strategy based on revenue growth announcement information (last 4Q, 8Q, and 12Q) could generate abnormal return or not. Holding periods for every formed portfolio are 1M, 3M, 6M, 9M, and 12M. Each portfolio gross return then evaluated with fama-french three factors model, carhart four factors model, and fama-french five factors model. Results show that negative alpha consistently generated from stocks with low revenue growth from three observation period then corrected in 9M to 12M holding period. While stocks with high revenue growth had generated same result but only from medium term observation period then corrected in 1M to 12M holding period.]

Abstrak :
ABSTRAK
Penelitian ini bertujuan untuk menguji apakah strategi pemilihan aset dalam portofolio yang didasarkan pada likuiditas turnover ratio dan Amihud Illiquidity mampu menghasilkan abnormal return atau tidak. Setiap portofolio yang dibentuk kemudian di-hold dengan masa kepemilikan selama 6 bulan (6M) dan 12 bulan (12M). Excess return dari setiap portofolio kemudian dievaluasi dengan model CAPM, Fama-French Three Factors, dan Carhart Four Factors. Hasilnya, diperoleh nilai abnormal return yang positif dan signifikan pada portofolio least ? most liquid strategi 6 ? 6M yang disusun berdasarkan turnover ratio.

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ABSTRACT
This paper aimed to test whether stock selection strategy based on liquidity namely turnover ratio and Amihud Illiquidity could generate abnormal return or not. Holding periods for every formed portfolio are 6 months (6M) and 12 month (12M). Each portfolio excess return then evaluated with CAPM, Fama- French Three Factors Model, and Carhart Four Factors Model. The results show that positive alpha consistently generated from least ? most liquid portofolio with formation and holding strategy 6 ? 6M which arranged by turnover ratio.

Abstrak :
ABSTRAK
Penelitian ini bertujuan untuk menguji apakah strategi pemilihan aset dalam portofolio yang didasarkan pada likuiditas turnover ratio dan Amihud Illiquidity mampu menghasilkan abnormal return atau tidak. Setiap portofolio yang dibentuk kemudian di-hold dengan masa kepemilikan selama 6 bulan (6M) dan 12 bulan (12M). Excess return dari setiap portofolio kemudian dievaluasi dengan model CAPM, Fama-French Three Factors, dan Carhart Four Factors. Hasilnya, diperoleh nilai abnormal return yang positif dan signifikan pada portofolio least ? most liquid strategi 6 ? 6M yang disusun berdasarkan turnover ratio.

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ABSTRACT
This paper aimed to test whether stock selection strategy based on liquidity namely turnover ratio and Amihud Illiquidity could generate abnormal return or not. Holding periods for every formed portfolio are 6 months (6M) and 12 month (12M). Each portfolio excess return then evaluated with CAPM, Fama- French Three Factors Model, and Carhart Four Factors Model. The results show that positive alpha consistently generated from least ? most liquid portofolio with formation and holding strategy 6 ? 6M which arranged by turnover ratio

Abstrak :
Penelitian ini bertujuan untuk menguji apakah strategi investasi yang didasarkan past volume dan past return mampu menghasilkan nilai abnormal return yang signifikan atau tidak pada Bursa Efek Indonesia dalam periode penelitian dari tahun 2006 hingga 2015. Metode yang digunakan dengan menguji strategi pada setiap portofolio yang dibentuk pada periode observasi dari 1M, 3M, 6M, 9M, dan 12M yang kemudian menerapkan holding periode 3M, 6M, 9M, dan 12M. Sehingga gross return dari setiap portofolio tersebut kemudian dievaluasi dengan singel index model, fama-french three factors, carhart four factors, dan fama-french five factors. Hasilnya, diperoleh nilai abnormal return yang positif dan negatif dengan signifikan secara konsisten pada semua model. ......This study aims to find out whether the investment strategies based on past volume and past returns are able to generate a significant abnormal return on Indonesia Stock Exchange in the period of 2006-2015. The research methodology is testing the strategies for each portfolio which was formed in the observation period of 1M, 3M, 6M, 9M and 12M which then apply the holding period of 3M, 6M, 9M and 12M. Therefore, the gross return of each portfolio is evaluated by singel index model, fama-french three factors, carhart four factors, dan fama-french five factors. The results of this study explain that the value of abnormal return is positive and negative, they are significantly consistent on all models.