Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA)

SOLVABILITY RATIO TO BOND RATING IN THE COMPANY PT. ADHI COMMUTER PROPERTIES AND SUBSIDIARIES IN 2021-2022 LISTED ON THE INDONESIAN STOCK EXCHANGE (BEI) Fadli; Irada Sinta; Rico Nur Ilham; Muhammad Multazam; Frengki Putra Ramansyah
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 2 No. 4 (2024): April
Publisher : Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v2i4.181

Abstract

Bonds are an investment instrument that is in demand by both investors and issuers because they have a fixed income that comes from interest and principal debt. The solvency ratio is an important indicator in evaluating a company's ability to meet long-term financial obligations. This research aims to evaluate the effectiveness of the solvency ratio as a tool for measuring a company's ability to fulfill long-term obligations to the company PT. Adhi Commuter Properti and its subsidiaries listed on the Indonesia Stock Exchange. The research method used is descriptive qualitative by calculating the solvency ratio (Debt to Asset Ratio and Debt to Equity Ratio) from the financial report data of the company PT. Adhi Commuter Properti and subsidiaries that issued bonds in 2021 and 2022. This research evaluates the effectiveness of the solvency ratio as a tool for measuring the company's ability to fulfill its long-term obligations, using PT. Adhi Commuter Properti and Subsidiaries as a case study. The research method used is descriptive qualitative with data analysis from the annual financial reports of companies listed on the Indonesia Stock Exchange and the bond rating database from PT. PEFINDO for the 2021-2022 period. The results of the solvency ratio analysis show a decrease in the Debt to Asset Ratio (DAR) from 64.87% (2021) to 61.11% (2022), as well as a decrease in the Debt to Equity Ratio (DER) from 193.92% (2021) to 173 .84% (2022). This indicates better management of financial risks and possible reduction in interest expenses for the company. These changes provide investors with a positive indication regarding the company's financial stability and the potential for reducing financial risks associated with liabilities. In terms of bond ratings, PT. Adhi Commuter Properti maintains its idBBB rating in 2021 and 2022, demonstrating adequate ability to pay its financial obligations.
THE ROLE OF DIGITAL ASSET INVESTMENT IN COUNTRY ECONOMIC GROWTH Reza Juanda; Falahuddin; Muttaqien; Rico Nur Ilham; Frengki Putra Ramansyah; Muhammad Multazam
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 3 No. 2 (2024): October (IN-PRESS)
Publisher : Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v3i2.187

Abstract

Cryptocurrency is one of the investment commodities that can generate returns and already has a permit to be traded in exchange trading through the Indonesian Commodity Futures Trading Supervisory Agency (BAPEPTI). Digital crypto assets traded in Indonesia are quite a lot through the Indodax trading company. The purpose of this study is focused on formulating a risk management process in investing in digital cryptocurrency assets. In addition, the results of this study will produce policy recommendations known as LCTR or "Legal Cryptocurrency and Tax Revenue" which are expected to be considered by the government in formulating policies on digital crypto assets so that the interests of all parties can be accommodated in order to realize maximum state revenue from trading digital crypto asset commodities. This type of research is quantitative descriptive with a research population of 10 cryptocurrency coins with the largest market caps in Indonesia, namely Cryptocurrency Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Bitcoin Cash (BCH), Litecoin (LTC), Stellar, DASH, Dogecoin, Zcash, Monero in Indonesia. The type of data in this study is time series data taken from January 2017 to December 2020 by conducting a documentation study conducted on the publication of monthly cryptocurrency transaction reports, so that a target population of 480 (4 years x 12 months x 10 coins) monthly report data was obtained for the research sample. The data analysis method in this study uses multiple linear regression and data analysis using e-views statistical software version 10.