I’m a young investor, and I know I still have a lot to learn. Some of that learning comes from books, great investors, and experts. Some of it comes from experience, including both the times I get things right and the times I make mistakes.
But I’ve also realized that some of the questions I’m most curious about do not have clear answers in books, articles, or videos. That is what pushed me to start doing my own research. When I cannot find a good enough answer, I want to dig deeper, explore the question myself 🤔, and see what I can discover.
For me, these research papers are more than school projects. They are part of how I learn to become a better investor. Each study helps me think more carefully, understand investing from a new angle, and add another useful tool to the way I make decisions.
Predicting Dividend Statuses of Thai Listed Companies Using Machine Learning
🏆 Recipient of the Best Paper Award • July 2026
International Conference of High School and College Student Research
http://www.princetonian.org
Published in the Curieux Academic Journal • March 2026
This study addresses the dividend puzzle by utilizing machine learning techniques to forecast dividend status of 515 non-financial companies listed on the Stock Exchange of Thailand (SET). By using random forest, boosted tree, and decision tree models, we classified dividend status into 4 categories: grow, maintain, decline, and remain unpaid. The results indicate that the boosted tree method provided superior predictive power compared to the random forest and decision tree methods. Predicting dividend policy in emerging markets is valuable for investors and analysts to understand future dividend prospects, which is a critical signal of a company's financial well-being.
The Effect of Global Financial Crisis and COVID-19 Pandemic on Return on Assets: Evidence From Stock Exchange of Thailand
Published in the Curieux Academic Journal • September 2026
The paper examines the effect of the Global Financial Crisis (GFC) and the COVID-19 pandemic on profitability, measured by Return on Assets (ROA), across eight sectors listed on the Stock Exchange of Thailand (SET) from 2001 to 2024. The study uses regression analysis and extensive descriptive statistics to evaluate the impact of these two major crises on firm performance. The results show that both the GFC and COVID-19 pandemic had a statistically significant negative effect on ROA. However, the COVID-19 pandemic had a much larger impact on corporate profitability than the GFC. The sectoral analysis also demonstrates significant differences in resilience and recovery rates across different industries. The Agriculture and Food Industry (AGRO) sector was the most resilient during both crises, while the Property and Construction (PROPCON) sector experienced the largest decline in profitability and the weakest recovery among the eight sectors. These results suggest financial and public health crises can significantly reduce corporate profitability and highlight the importance of sector-specific policies to improve resilience during periods of systemic risk.
