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This research aims to analyze the influence of exchange rate, exports, and  imports on Indonesia's foreign exchange reserves in the period of 1992-2021. The dependent variable is foreign exchange reserves, whereas the independent variables consist of exchange rate, exports, and imports. The research uses secondary data in time series obtained from Indonesia’s World Bank Data. Data are analyzed with VAR (Vector Auto Regression), those analyzed use E-Views 10 apss by including analysis method, which includes stationary tests, stability tests, optimum lag tests, cointegration tests, VAR estimation tests, Engle Granger causality tests, Impulse Response Function (IRF) tests, and Variance Decomposition (VD) tests. The results of the study show that exchange rate variables have a large influence on foreign exchange reserves, while export and import variables have a small effect on foreign exchange reserves.

The purpose of this study was to find out the relationship between GDP, inflation and exchange rates on imports in Indonesia in 1991 – 2020. Import is the process of legally transporting goods or commodities from one country to another, generally in the process of trade. If in a country imports increase then the country's national income will decrease. Countries that often import are developing countries, for example Indonesia. Therefore, the method that can be used is the VAR method. and the data used is quantitative data, because the data used to calculate the effect on import variables. The source of financial data is used as secondary data, which is data obtained from official sites or websites. The results of this study are that the inflation variable has a greater relationship than GDP and exchange rates.

Economic growth is a process of economic change that occurs in a country on an ongoing basis to lead to changes for the better over a certain period of time. The development of the Indonesian economy cannot be separated from the influence of various factors, including factors from abroad. Economic growth is influenced by several factors including exports, imports, fiscal deficits, and foreign debt. This study aims to determine the effect of exports, imports, fiscal deficits and foreign debt on economic growth in Indonesia for the 2017-2020 period. The sample selection in this study used the cluster sampling method because the objects and data sources to be studied were very broad, consisting of 34 provinces in Indonesia, the total data used was 680 samples. The data analysis technique used in this research is multiple linear regression analysis. The results of this study indicate that exports have a negative and significant effect on economic growth. Imports have a positive and insignificant effect on economic growth. The fiscal deficit has a positive and insignificant effect on economic growth. Foreign debt has a positive and significant effect on economic growth. Further researchers can also continue this research with a qualitative approach, where several variables that have no significant effect can be studied and analyzed by several key stakeholders who have a direct role in economic growth, so that further research models can be better.

The financial system plays an important role in the economy. An unstable financial system will be vulnerable to various problems that disrupt the rotation of a country's economy and be vulnerable to economic problems such as the global crisis in various countries. The problem that occurs is the occurrence of Covid-19 causing various fluctuations in the level of inflation, money supply, imports, the occurrence of unstable inflation from January 2019 to August 2021, low inflation resulting in a decrease in imports and an increase in the money supply in Mexico. , Vietnam, Philippines, Hongkong, Indonesia, Canada, Malaysia, Singapore, Peru, and China. The analytical method in this study uses the ARDL Panel (Autoregression Distributed Lag) approach. The ARDL Panel Model determines which country models from APEC countries are able to control long-term financial system-based economic fundamentals in Mexico, Vietnam, the Philippines, Hong Kong, Indonesia, Canada, Malaysia, Singapore, Peru, and China and the Different Test for modeling the impact of covid-19 19 on the economic fundamentals of the financial system. The results of the research found the ARDL Panel prediction model in modeling the impact of Covid-19 on economic fundamentals in the financial system. The main Leading Indicator of variable effectiveness in controlling Inflation In TAPEC is JUB where Vietnam, the Philippines, Hong Kong, Japan, Malaysia, Singapore, Peru and China have a significant influence in controlling Inflation. Then overall in the long term (Long Run) it turns out that only the JUB and CDV variables have an effect on INF In TAPEC, while in the short term (Short Run) it is JUB that influences Inflation In TAPEC.