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This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

Capital structure is a strategic decision made by companies in determining the combination of debt and equity financing. Financial market dynamics can influence companies' strategies for obtaining financing for expansion, operations, or financial restructuring. Companies have the flexibility to determine when and how to obtain financing by considering market conditions, a practice known as market timing. This study aims to examine the impact of market timing on capital structure and to determine the persistent long-term effects of market timing. The research focuses on non-financial companies that conducted an initial public offering (IPO) in 2020-2021, with a population of 105 companies. A purposive sampling technique was employed, using specific criteria, resulting in a sample of 65 companies. The data used are secondary data analyzed using multiple linear regression with panel data. The results indicate that market timing, measured by the market-to-book ratio, has a significant negative impact on capital structure. The study also shows that market timing, does not have a persistent impact on capital structure in the long term. Companies tend to take advantage of momentum when stock valuations are high by conducting initial public offerings, while in the long term, companies tend to make adjustments, so the impact of market timing does not last long.

This research aims to determine and analyze the influence of Mobile banking, Internet banking, digital transformation of financial performance in banking companies listed on the IDX for 2019-2023. The sample size was set at 5 banking companies with observation data from 2019 to 2023. The type of data used is secondary data in the form of panel data. The data analysis technique used is multiple linear regression with the Eviews application. The results of this research show that Mobile banking, Internet  Banking and digital transformation simultaneously influences financial performance; Mobile banking partially has a positive and significant effect on financial performance; Internet  Banking partially has a positive but not significant effect on financial performance; Digital transformation partially has a positive but not significant effect on financial performance. It is hoped that companies can implement and improve information technology infrastructure in services digital banking and can be implemented by banking companies to improve company performance.