Analisis harga saham pada sektor kesehatan menggunakan regresi data panel

Salsabila,, Sania (2022) Analisis harga saham pada sektor kesehatan menggunakan regresi data panel. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pandemi Covid-19 yang terjadi di seluruh dunia memberikan dampak bagi hampir seluruh sektor kehidupan, mulai dari kesehatan, ekonomi, hingga pendidikan. Sektor kesehatan mengambil peran yang paling penting dalam menangani pandemi. Salah satu dampak pandemi pada sektor kesehatan yaitu meningkatnya jumlah fasilitas kesehatan di Indonesia pada tahun 2019–2020 sebesar 10,96%, yang juga menyebabkan meningkatnya tren emiten saham pada sektor kesehatan. Peningkatan tersebut dapat dilihat dari rata-rata kenaikan kapitalisasi pasar pada sektor kesehatan pada tahun 2019–2021, yaitu sebesar 18,65%. Hal tersebut melandasi dilakukannya analisis mengenai faktor-faktor yang diduga berpengaruh terhadap harga saham menggunakan regresi data panel. Regresi data panel merupakan analisis regresi yang menggabungkan data individu atau _cross section_ dengan data runtun waktu atau _time series_. Penelitian ini menggunakan data sekunder yang diambil dari situs web resmi Bursa Efek Indonesia dan Bank Indonesia. Penelitian ini menggunakan data _cross section_ yang meliputi perusahaan sektor kesehatan yang terdaftar di Bursa Efek Indonesia dan data _time series_ dari tahun 2019 sampai 2021. Hasil yang didapatkan yaitu _Fixed Effect Model_ (FEM) antarindividu dengan transformasi HAC _Standard Error_, di mana variabel yang berpengaruh signifikan terhadap harga saham yaitu variabel BV dan PBV dengan kebaikan model sebesar 87,14%.
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The Covid-19 pandemic that occurred throughout the world has had an impact on almost all sectors of life, including health, the economy, and education. The health sector plays the most important role in dealing with the pandemic. One of the impacts of the pandemic on the health sector was the increase in the number of health facilities in Indonesia from 2019 to 2020, which reached 10.96%, leading to an increase in the trend of stock issuers in the health sector. This increase can be seen from the average increase in market capitalization in the health sector from 2019 to 2021, which was 18%. This situation provides the basis for analyzing the factors suspected of influencing stock prices using panel data regression. Panel data regression is a regression analysis that combines individual data or cross-sectional data with time-series data. This study uses secondary data obtained from the official websites of the Indonesia Stock Exchange and Bank Indonesia. The study uses cross-sectional data consisting of health sector companies listed on the Indonesia Stock Exchange and time-series data from 2019 to 2021. The results of the study indicate that the Fixed Effect Model (FEM) between individuals with a HAC standard error transformation was the appropriate model, in which the variables that significantly influenced stock prices were BV and PBV, with a coefficient of determination of 87.14%.

Item Type: Thesis (Other)
Additional Information: 519.536 Sal a-1
Uncontrolled Keywords: Regresi Data Panel, Harga Saham, Sektor Kesehatan, Panel Data Regression, Stock Price, Health Sector
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions: Faculty of Vocational > 49501-Business Statistics
Depositing User: magang .
Date Deposited: 05 Oct 2026 08:02
Last Modified: 05 Oct 2026 08:02
URI: http://repository.its.ac.id/id/eprint/145273

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