Pemodelan Dividend Payout Ratio Sektor Perbankan pada Indeks LQ45 dengan Regresi Data Panel Dinamis Pendekatan Generalized Method of Moments Arellano-Bond

Kiran, Rafandra Ariftito Apta (2023) Pemodelan Dividend Payout Ratio Sektor Perbankan pada Indeks LQ45 dengan Regresi Data Panel Dinamis Pendekatan Generalized Method of Moments Arellano-Bond. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Saham merupakan salah satu instrumen investasi yang paling populer. Dividen yang didistribusikan setiap tahun oleh perusahaan merupakan salah satu keuntungan yang diperoleh investor. Perusahaan membagikan dividen kepada investor sesuai dengan kebijakan dividen yang diputuskan oleh perusahaan. Kebijakan dividen perusahaan tergambar pada Dividend Payout Ratio (DPR). Terdapat berbagai faktor yang mempengaruhi tingkat DPR sebuah perusahaan, diantaranya Return on Asset (ROA), Debt to Equity Ratio (DER), Size, dan Earning Before Interest and Tax (EBIT). Pada penelitian ini akan dilakukan pemodelan faktor – faktor yang diduga mempengaruhi DPR menggunakan metode regresi data panel dinamis dengan pendekatan Generalized Method of Moment (GMM) Arellano-Bond pada perusahaan sektor perbankan yang tercatat dalam Bursa Efek Indonesia (BEI) dan masuk kedalam indeks LQ45 pada periode tahun 2013 hingga 2017. Hasil penelitian menunjukkan bahwa DPR dengan DER memiliki hubungan positif yang lemah. Sedangkan antara DPR dengan ROA dan EBIT memiliki hubungan negatif yang lemah. Kemudian DPR dengan Size memiliki hubungan negatif yang cukup kuat. Selain itu didapatkan bahwa variabel DER berpengaruh signifikan terhadap DPR, dengan kebaikan model sebesar 78,43%.
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Stocks are one of the most popular investment instruments. Dividends distributed annually by the company are one of the advantages that investors get. The company distributes dividends to investors in accordance with the dividend policy decided by the company. The company's dividend policy is reflected in the Dividend Payout Ratio (DPR). There are various factors that affect the level of a company's DPR, including Return on Assets (ROA), Debt to Equity Ratio (DER), Size, and Earning Before Interest and Tax (EBIT). In this study, modeling of the factors suspected of influencing the DPR will be carried out using the dynamic panel data regression method with the Generalized Method of Moment (GMM) Arellano-Bond approach in banking sector companies listed on the Indonesia Stock Exchange (IDX) and included in the LQ45 index in the period 2013 to 2017. The results show that DPR and DER have a weak positive relationship. Meanwhile, between DPR and ROA and EBIT has a weak negative relationship. Then the DPR and Size have a fairly strong negative relationship. In addition, it was found that the DER variables had a significant effect on the DPR, with a good model of 78,43%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Dividend Payout Ratio, Generalized Method of Moment (GMM) Arellano-Bond, LQ45, Perbankan, Regresi Data Panel Dinamis, Banking, Dividend Payout Ratio (DPR), Dynamic Panel Data Regression, Generalized Method of Moment (GMM) Arellano-Bond, LQ45
Subjects:	H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HG Finance > HG4012 Mathematical models H Social Sciences > HG Finance > HG4910 Investments
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Rafandra Ariftito Apta Kiran
Date Deposited:	14 Aug 2023 08:00
Last Modified:	14 Aug 2023 08:00
URI:	http://repository.its.ac.id/id/eprint/104408

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