Pengaruh Rasio-Rasio Keuangan terpilih pada Price to Book Value (PBV) bagi Sepuluh Emiten Perbankan yang terdaftar pada Bursa Efek Indonesia (BEI), 2018-2024 (Pendekatan Model Regresi Data Panel)

Natasya, Jennifer (2025) Pengaruh Rasio-Rasio Keuangan terpilih pada Price to Book Value (PBV) bagi Sepuluh Emiten Perbankan yang terdaftar pada Bursa Efek Indonesia (BEI), 2018-2024 (Pendekatan Model Regresi Data Panel). Sarjana (S1) thesis, STIE Tri Bhakti.

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Abstract

The purpose of this study is to explain the effect of Current Ratio (CR), Debt to Equity Ratio (DER), and Return on Asset (ROA) on Price to Book Value (PBV) for ten issuers in the 2018-2024 observation period. So this study is a panel data regression model approach. There are three panel regression models considered, namely the common effect model (CEM), the fixed effect model (FEM), and the random effect model (REM). Through a series of Chow-Hausman-Lagrange Multiplier tests, the data regression model selected in this study is the FEM model. This model is affected by the same slope for each issuer, but the interception of each issuer is different from each other. This means that each intercept is different, among others, due to company size, company culture, business strategy, company reputation, and management quality. The findings of this study can be interpreted both from the intercept side and from the slope side. In terms of slope, CR, DER, and ROA. Has a positive effect on PBV. ROA is the largest variable in influencing PBV. In terms of interception, the findings of this research are as follows. First, if CR = DER = ROA = 0, then the average PBV for each issuer is 1.4367. This means that on average, the share price of each issuer of the bank is around 1.44 times higher than its book value per share. Second, because the FEM model is differentiated from each other, the Least Squares Dummy Variable / LSDV technique is used to calculate the difference between intercepts and intercepts. By choosing BCA as the baseline, the intercept for BCA = 4.3885, which is the highest intercept of any other bank. The other largest interception was followed by BBRI bank at 2.2839, AGRO bank at 2.0582, and so on where the smallest intercept at BNGA bank was 0.5475.

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