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ANALISIS RISIKO PERUSAHAAN INFRASTRUKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA MENGGUNAKAN VALUE AT RISK (VaR) Sujatmiko, Ibnu; Thamrin, Hakiman
Indikator: Jurnal Ilmiah Manajemen dan Bisnis Vol 2, No 3 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/indikator.v2i3.3288

Abstract

Penelitian ini meneliti tentang analisis return saham terhadap risiko investor menggunakan Value at Risk (VaR) menggunakan volatilitas yang diukur tidak hanya dengan simple standard deviation namun juga dengan model EWMA dan ARCH/GARCH. Model EWMA dan ARCH/GARCH digunakan karena data return dari indeks bursa saham cenderung bersifat heteroskedasitas. Khusus untuk model ARCH/GARCH, dalam penelitian ini juga digunakan salah satu variannya yaitu IGARCH. Uji Validitas dilaukan dengan metode backtesting untuk nilai VaR dibandingkan dengan actual loss dari 2 Januari 2014 sampai 29 Desember 2017. Hasil penelitian ini menunjukkan bahwa hanya ada dua model yang valid yaitu simple standard deviation dan ARCH/GARCH yang memberikan nilai Actual Loss lebih kecil dari VaR. Untuk Model EWMA dinyatakan tidak valid.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA KEUANGAN PADA BANK BUKU 4 PERIODE TAHUN 2012-2016 Maudhita, Alista; Thamrin, Hakiman
Indikator: Jurnal Ilmiah Manajemen dan Bisnis Vol 2, No 2 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/indikator.v2i2.3271

Abstract

Penelitian ini bertujuan menguji dan menganalisis pengaruh rasio keuangan Capital Adequacy Ratio (CAR), Non Performing Loans (NPL), Net Interest Margin (NIM), Beban Operasional dan Pendapatan Operasional (BOPO), dan Loan to Deposit Ratio (LDR) terhadap kinerja bank yang diukur dengan rasio profitabilitas yaitu Return on Asset (ROA). Obyek penelitian adalah seluruh bank BUKU 4 yang tersedia data laporan keuangan triwulannya di Otoritas Jasa Keuangan (OJK) dalam kurun waktu penelitian yaitu Maret 2012 sampai dengan Desember 2016. Metode sampling yang digunakan adalah sampling jenuh, yaitu semua anggota populasi dijadikan sebagai sampel. Jumlah sampel adalah 4 bank. Metode analisis yang digunakan dalam penelitian ini adalah regresi data panel. Model yang digunakan adalah Fixed Effect. Uji asumsi klasik yang digunakan adalah uji autokorelasi, uji multikolinearitas, dan uji heteroskedastisitas. Dari hasil uji F didapat nilai F hitung atau prob (F-statistic) sebesar 0,000 untuk ROA. Hal ini berarti nilai F hitung kurang dari 0,05 yang menunjukkan bahwa variabel CAR, NPL, NIM, BOPO dan LDR secara bersama-sama mempunyai pengaruh signifikan terhadap ROA. Berdasarkan uji t disimpulkan bahwa CAR tidak berpengaruh terhadap ROA, sedangkan NPL, BOPO dan LDR secara parsial berpengaruh negatif signifikan terhadap ROA dan NIM berpengaruh positif signifikan terhadap ROA.
ANALYSIS OF EFFECT OF CAPR, DAR, ROA AND SIZE ON TAX AVOIDANCE Akbar, Adil; Hakiman Thamrin
Dinasti International Journal of Management Science Vol. 1 No. 5 (2020): Dinasti International Journal of Management Science (May - April 2020)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v1i5.285

Abstract

This study aimed to identify the effect of the independent variable capital intensity (CAPR), return on assets (ROA), debt to asset ratio (DAR), and the size of the company (SIZE) on tax avoidance (CETR) as dependent variable. This study tested using multiple linear regression analysis with the SPSS 25 program with a causality and comparative approach using cross sectional data. The results of the study in 2015 showed that the capital intensity and debt to asset ratio does not affect on tax avoidance, while return on assets and company size have significant negative effect on tax avoidance. In 2017, showed that the capital intensity, debt to asset ratio, and company size does not affect on tax avoidance, while return on assets has a significant negative effect on tax avoidance. Hypothesis testing results indicate that the independent variables simultaneously in 2015 and 2017 affect the dependent variable.
MODEL OF BANKRUPTCY PREDICTION SERVICES COMPANY SECTOR RETAIL IN INDONESIA STOCK EXCHANGE (Study Case Period 2015 - 2017) Indriani, Rina; Hakiman Thamrin
Dinasti International Journal of Digital Business Management Vol. 1 No. 2 (2020): Dinasti International Journal of Digital Business Management (February - March
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.395 KB) | DOI: 10.31933/dijdbm.v1i2.129

Abstract

This study aims to identify the dominant causes in forming a bankruptcy prediction model of retail trade service companies listed on the Indonesia Stock Exchange in the 2015-2017 period. The 2015-2017 observation period with a sample of 20 companies met the criteria as a sample. This research variable is divided into 2 namely dependent and independent variables. The dependent variable in this study is categorical data which is divided into two categories: unhealthy companies symbolized by the number 0 and healthy companies category symbolized by the number 1. The independent variables in this study are 20 financial ratios, among others, Current Ratio, Quick Ratio, Cash Ratio , Working Capital to Total Assets, Debt to Asset Ratio, Debt to Equity Ratio, Time Interest Earned, Working Capital Turn Over, Fixed Asset Turn Over, Receivable Turn Over, Total Asset Turn Over, Inventory Turn Over, Cash Turn Over, Cash Profit Margin, Operating Profit Margin, Gross Profit Margin, Return On Equity, Return On Assets, Return On Investment, Earning Per Share. The analytical method used is discriminant analysis. Discriminant Test Results using the stepwise method can be obtained variables that are selected as discriminator variables, namely the variable Debt to Equity Ratio, Return On Equity, and Earning Per Share to form discriminant functions as follows: R = - 3,197 + 0.292 Debt to Equity Ratio + 0.342 Return On Equity + 0.336 Earning Per Share The cut-off value in this study is 0 with a 75% prediction accuracy in unhealthy service companies and 73.3% in healthy service companies with an accuracy rate of 76.7% in retail trade service companies.
THE EFFECT OF MACROECONOMIC FACTORS ON THE NUMBER OF CORPORATE SUKUK OFFERS IN INDONESIA Ependi, Haerul; Hakiman Thamrin
Dinasti International Journal of Economics, Finance & Accounting Vol. 1 No. 4 (2020): Dinasti International Journal of Economics, Finance & Accounting (September - O
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v1i4.532

Abstract

This study aims to analyze the effect of macroeconomics factors on corporate sukuk in Indonesia in the short and long term. The independent variable is Inflation, Economics Growth, Total Money Supply, Foreign Exchange Rate and Bank Indonesia (BI) Rate. Whereas the dependent variable is the number of sukuk corporations offered. The results of this study indicate that the Inflation, Economics Growth, Total money supply, and BI Rate have no significant effect on the number of corporate sukuk offered. While Foreign Exchange Rate has significant effect on the amount of corporate sukuk that offered. In the short term period, the total money supply has significant influence on the number of sukuk corporations offered while the rest have no significant effect
The Effect of Inventory Management on Company Value (Empirical Study on Food and Beverage Sub-Sector Companies Listed on the Indonesia Effek Exchange in 2020-2023) Devi Fuspanita; Hakiman Thamrin
Indonesian Journal of Business Analytics Vol. 4 No. 4 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v4i4.11167

Abstract

The purpose of this study is to test and analyze the influence of "Inventory Management" on Company Value, which is calculated using PBV. Inventory management is calculated using RMC, WIPC, FGC, INVTC. The research was conducted on F&B companies listed on the Indonesia Effek Exchange (IDX) with the period 2020-2023 using quarterly data. The method used by the Data Regression Panel. The results of the study showed that Inventory Management had an effect on PBV, and the RCM variable had an effect on PBV. Meanwhile, the variables of WIPC, FGC, INVTC had no effect on PBV.