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This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

As a developing country, Indonesia has an economic structure dominated by the agricultural sector, making it vulnerable to disruptions to economic stability. Economic growth is an indicator showing that the economic level of society in general has increased in terms of consumption habits and people's purchasing power for goods and services. However, excessive consumption leads to a consumer society and inflation. This study aims to look at the causality between inflation, consumer price index, interest rates, gross domestic product, and exchange rates using the time series approach in the form of the quarterly period 2014Q1 to 2022Q2 in Indonesia using the VAR (Vector Autoregression) method. The research results show that inflation is related to or influenced by the consumer price index and savings. As for the Exchange Rate, Gross Domestic Product and Interest Rates have no effect on inflation.

The object of this research is Economic Growth in Central Java. This study aims to analyze the effect of foreign investment, inflation, and the consumer price index on economic growth in Central Java. The data used is time series data from 2015-2019 published by Bank Indonesia, the Central Bureau of Statistics, and the World Bank. The analytical method used in this study is a multiple regression analysis tool with the Ordinary Least Square (OLS) method approach. Based on this study it was concluded that inflation has a significant effect on economic growth in Central Java, while the exchange rate and investment have no significant effect on inflation in Central Java.

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.

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.

Stock investment in the capital market promises two forms of profit, capital gains and dividends. In addition to high profits, stock investments also have a high risk of loss because stocks have a nature high return-high risk. One of the risks posed is the ups and downs of stock prices that occur at any time can cause losses such as capital loss. The purpose of this study was to determine the effect of ROE, DER, and exchange rates on stock prices in BUMN listed on the Indonesia Stock Exchange (IDX) for the 2016-2020 period. The sampling technique is a purposive sampling technique. The sample obtained amounted to 13 companies. The results of the analysis using SmartPLS 3.0 shows that ROE has a positive and significant effect, DER has a negative and significant effect, while the exchange rate has no significant effect on stock prices.