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PERAN KEPEMILIKAN INSTITUSIONAL DAN UKURAN PERUSAHAAN TERHADAP STRUKTUR MODAL PERBANKAN Made Ratih Nurmalasari; Putu Diah Kumalasari; I Made Ananda Wiguna
Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Vol 12, No 1 (2026): VOLUME XII NO. 1 APRIL 2026
Publisher : Jurnal Menara Ekonomi : Pelatihan dan Kajian Ilmiah Bidang Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/me.v12i1.8049

Abstract

Untuk lembaga perbankan yang bertugas menjaga kepercayaan publik dan melindungi stabilitas sistem keuangan, memahami faktor-faktor yang memengaruhi struktur modal menjadi semakin penting. Konsentrasi kepemilikan dan ukuran perusahaan merupakan dua faktor yang memberikan pengaruh signifikan terhadap pengelolaan struktur modal perusahaan. Investor institusional umumnya cenderung memilih perusahaan dengan tingkat utang yang lebih rendah. Penelitian ini dilakukan untuk mengetahui pengaruh kepemilikan institusional dan ukuran perusahaan terhadap struktur modal bank. Penelitian ini menggunakan metode kuantitatif dengan data sekunder yang diperoleh dari laporan keuangan perusahaan perbankan yang terdaftar di Bursa Efek Indonesia selama periode 2022–2024. Hasil penelitian menunjukkan bahwa kepemilikan institusional memiliki pengaruh negatif yang signifikan terhadap struktur modal, sementara ukuran perusahaan memiliki pengaruh positif yang signifikan. Temuan ini dapat membantu manajer, investor, dan pembuat kebijakan di sektor perbankan dalam mengevaluasi serta meningkatkan pengelolaan struktur modal.Kata Kunci: Kepemilikan Institusional, Ukuran Perusahaan, Struktur Modal
A Hybrid Semiparametric Regression Approach Using Truncated Spline–Wavelet Estimators for Modeling Nonstationary Financial Performance: Evidence from Village Credit Institutions in Bali Ni Putu Ayu Mirah Mariati; I Wayan Sudiarsa; Putu Diah Kumalasari
Inferensi Vol 9 No 1 (2026)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v9i1.9460

Abstract

This research proposes a novel semiparametric regression framework, integrating truncated spline and wavelet estimators in the modeling of dynamic relationships among CG, IC, and institutional performance in Bali's Village Credit Institutions (LPDs) in Indonesia. The robustness of this estimator is initially tested by a Monte Carlo simulation under various conditions of nonstationarity. From these, it becomes quite clear that the proposed hybrid spline-wavelet model has produced the least MSE (MSE = 0.0076) and greatest coefficient of determination (R² = 0.968). However, the specific penalized estimation method used ensures an appropriate bias variance tradeoff, allowing the proper modeling of global smooth trends and local short term variations. Latent CG and IC constructs obtained through Partial Least Squares Structural Equation Modeling were applied as covariates to the hybrid regression model by using a longitudinal database from 86 LPDs over the period 2016-2023. From the empirical findings, it was manifested that CG and IC significantly influence institutional performance and account for as much as 78% of its variation. The time varying component depicted three phases: reform growth from 2016 to 2019, the pandemic contraction in 2020-2021, and post recovery stabilization in 2022-2023. In general, this hybrid spline-wavelet estimator showed superior precision, decreasing MSE by up to 31% compared to single basis models, and provided a novel methodological contribution to nonstationary financial and econometric modeling.