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All Journal Journal of Indonesian Economy and Business Jurnal Bisnis dan Akuntansi
SOELISTYO SOELISTYO
Universitas Gadjah Mada
Economics, Econometrics & Finance

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APLIKASI CLUSTERING, MANOVA, DAN TRANSFORMASI DATA ATAS DATA PASAR MODAL INDONESIA: ABDUL HALIM; SOELISTYO SOELISTYO
Jurnal Bisnis dan Akuntansi Vol 1 No 3 (1999): Jurnal Bisnis dan Akuntansi
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Ilmu Ekonomi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1088.242 KB) | DOI: 10.34208/jba.v1i3.371

Abstract

Penelitian dengan mendasarkan data pasar modal di Indonesia semakinmarak, namun menimbulkan persoalan antara lain yaitu adanya biasdata (terutama normalitasnya). Sementara itu beberapa penelitianmenunjukkan adanya kegunaan rasio keuangan dalam menghasilkaninformasi bagi pengguna data keuangan di pasar modal Indonesia tersebut. Penelitian-penelitian yang dilakukan, sesuai dengan perkembangan yang terjadi telah banyak mengaplikasikan alat-alat statistik terutama yang beraliran positivisme. Tulisan ini mencoba mengemukakan hasil penelitian atas kemampuan rasio keuangan (dalam hal ini ROE) dalam membedakan "yields" (dalam hal ini capital gain dan dividend per share) dengan mengaplikasikan clustering dan MANOVA yang sekaligus merupakan usaha menguji data pasar modal Indonesia termasuk mentransformasikannya. Hasilnya menunjukkan masih rendahnya normalitas data yang ada, walaupun sudah ditransformasikan. Hasil ini memang masih harus memerlukan pengujian ulang agar dapat lebih meyakinkan.
KEMAMPUAN RASIO KEUANGAN DALAM MEMPREDIKSI LABA (Penetapan Rasio Keuangan sebagai Discriminator) Nur Fadjrih Asyik; Soelistyo Soelistyo
Journal of Indonesian Economy and Business (JIEB) Vol 15, No 3 (2000): July
Publisher : Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.345 KB)

Abstract

Financial statements users need financial information of companies to analyze their financial condition and performance. Financial ratios are useful measures for predicting the future earning changes. The study focuses on the usefulness of financial ratios in predicting future earnings.The objective of the study is to empirically examine whether financial statement-based financial ratios have ability for predicting future earnings and which ratios are significant discriminator. Predictive accuracy of financial ratios are measured with high hit ratio from classification matrix list on 2 group are sample analysis and holdout sample.Data in this study were manufacturing firms listed on the Jakarta Stock Exchange. Discriminant analysis were used in testing the ability financial ratios for predicting earnings changes. The multicollinearity test shows that there is no association between independent variables, indicating multicolinearity is not a serious problem. The heteroscedasticity test shows that variances of disturbances are constant for all observation in independent variables. Therefore, heteroscedasticity is not a problem.Because the objective of these analysis was to determine which variables are the most efficient in discriminating earning changes, a stepwise procedure was used. There are five significant ratios (DIV/NI, S/TA, LTD/TA, NI/S, and INPPE/TU). DIV/NI ratio is ratio which most discriminating, while INPPE/TU ratio which least discriminating.
Co-Authors Abdul Halim Nur Fadjrih Asyik