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PENGARUH VOLATILITAS NILAI TUKAR RUPIAH TERHADAP NILAI TUKAR RUPIAH : APLIKASI MODEL ARCH/GARCH Theressia Mellyastannia; Syafri Syafri
Jurnal Ekonomi Trisakti Vol. 1 No. 1 (2014)
Publisher : Lembaga Penerbit Fakultas EKonomi dan BisnisĀ 

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9467.716 KB) | DOI: 10.25105/jet.v1i1.13482

Abstract

The purpose of this study was to determine the effect of volatility in the rupiah /U.S. $ against the rupiah / U.S. $. Analysis model used in this study is a model of ARCH /GARCH. Control variables are included in the data processing is a variable rate 12-month deposit rate and the current account. The period of data used are monthly data from years 2001 to 2012. From the results of the model estimates the chosen ARCH 2 as the best model to estimate the volatility of the exchange rate. The estimation results indicate that exchange rate volatility and a significant positive effect on the exchange rate. Meanwhile, the interest rate on 12-month deposits and current account negatively affect the exchange rate significantly.
Pengaruh Konsumsi Energi dan Aktivitas Ekonomi Terhadap Emisi CO2 di Negara G20 Naufaliztya Aulia Tsandra; Ridwan Pandu Sunaryo; Syafri Syafri; Dian Octaviani
e-Journal Ekonomi Bisnis dan Akuntansi Vol 10 No 2 (2023): e-JEBA Volume 10 Number 2 Year 2023
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ejeba.v10i2.39278

Abstract

As a multilateral cooperation forum, the G20 plays a central role in contributing to the reduction of the global climate change rate, with a primary goal of lowering CO2 emissions. This study examines the effect of energy consumption and economic activity on CO2 emissions in Advanced Economies and Emerging Markets countries that are members of the G20, and to identify countries that have an impact on CO2 emissions. The data used in this study is secondary data from Our World In Data database with yearly data for 2000-2021. The analysis method used in this research is a quantitative approach with panel data regression analysis method with the Fixed Effect Model (FEM). The findings indicate that in Advanced Economies countries, CO2 emissions are affected by fossil fuel energy consumption, renewable energy consumption, GDP per capita, and trade openness. Meanwhile, CO2 emissions in Emerging Markets countries are affected by fossil fuel energy consumption, renewable energy consumption, GDP per capita, FDI, and industrialization. The country with the highest CO2 emissions per capita is Australia, while the country with the lowest CO2 emissions per capita is India.