The Effect of Exchange Rates, Interest Rates, and Inflation on Stock Prices of Technology Sector Companies Listed in the Indonesia Stock Exchange Period 2018-2022

Introduction/Main Objectives: The technology sector is a new sector that attracts a lot of investor’s attention. Therefore, the technology sector has high growth potentials that create opportunities for bright stock prospects. This study aims to determine how macroeconomic factors influence the stock prices of Technology Sector Companies listed in the Indonesia Stock Exchange. Background Problems: Technology sector is believed as the future business that will create many prospects in the future. The increase in stock prices of the technology sector company occurred in 2021 was the result of the spread of the Covid-19. As time goes by, the Covid-19 pandemic begins to be resolved, thus causing technology sector companies to experience a decline of 42.6% in 2022. Surprisingly, Technology sector companies are experiencing a lack of power to grow. Novelty: The technology sector in Indonesia presents a novel area for investigation, as previous studies have primarily focused on traditional sectors such as consumer goods, mining, and banking. Given the technology sector's unique characteristics, including its high growth potential and sensitivity to global economic trends, examining the impact of exchange rates, interest rates, and inflation on stock prices in this sector could provide valuable insights. Research Methods: The method used is descriptive and verification analysis method through a quantitative approach. quantitative approach. The sample determination technique uses Purposive Sampling. Finding/Results: The statistical test results state that exchange rates, interest rates, and inflation have a positive but insignificant effect on stock prices in Technology Sector Companies listed on the Indonesia Stock Exchange 2018-2022. Conclusion: The exchange rate, interest rate, and inflation account for only 3.7% of the variance in the dependent variable, whereas the remaining 96.3% is attributable to other unexamined variables. It is advisable to incorporate additional factors and expand the sample size of companies across various sectors or subsectors, and utilize an extended time frame for analysis.