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Changes In The Financial System Stability Of Asean Founder Countries Due To Covid-19 Rusiadi; Anwar Sanusi; Ade Novalina; Milenia M Tafonao; Audre Aprillia
International Journal of Science, Technology & Management Vol. 2 No. 5 (2021): September 2021
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v2i5.334

Abstract

The threat of the spread of coronavirus to economic growth and inflation in countries in the world will also seep into the global and domestic macrofinancial sector. This research was conducted to analyze how the level of change in the stability of the financial system of ASEAN Founders (ASEFO) with the emergence of the covid 19 pandemic. This study used secondary data (time series) in asefo countries. The model used is a different test model paired sample t-test. The results of the analysis showed that the Covid 19 pandemic had a significant effect on the stability of the financial system with the ASEFO State NPL indicator.
The Effectiveness Of A Mixed Economic Model In Controlling The Financial System In 7 Emerging Market Countries Audre Aprillia; Winsi Fadiah Putri; Nurul Syahfia; Rusiadi Rusiadi; Diwayana Putri Nasution; Bakhtiar Efendi; Lia Nazliana Nasution
International Journal of Economics, Commerce, and Management Vol. 1 No. 2 (2024): April : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i3.100

Abstract

This research aims to analyze the effectiveness of the mixed economic model in controlling financial system stability in 7 emerging market countries. Where the monetary policy variables are the money supply and interest rates. Then the microprudential variables are Return On Equity and Return On Assets, the macroprudential variables are Capital Adequacy Ratio and Non Performing Loans. The financial system stability variables are the inflation level and exchange rate. The data analysis model in this research is the Simultaneous model. This research uses secondary data or time series, namely from 2019 to 2023. This analysis is significant for controlling the financial system by ensuring the data meets normality assumptions through the Jarque-Bera test, which allows for more precise financial planning and risk management decisions. The absence of autocorrelation effects, as proven in the residual test, also strengthens the reliability of the model in understanding market trends. The Two-Stage Least Squares method in simultaneous regression analysis provides in-depth insight into the relationship between economic variables such as the inflation rate and the exchange rate, supporting effective economic policy making. Understanding the elasticity of key variables to the inflation rate and exchange rate is also important for optimizing risk control strategies and financial resource allocation.