The main purpose of this study is to investigate some financial indicators that affect the debt ratio in Thailand's capital market. Two competing theories that explicate the capital structure are old-fashioned pecking order and static trade-off model. From existing literature reviews, we select seven traditional factors: profitability, asset structure, size, liquidity, non-debt tax shields, dividend policy and growth as explanatory variables. While long-term debt and total debt are used as proxies for dependent variables. This study uses secondary data collected from annual financial statements of companies in SET 100 index exclude financial business sector. All firms rank highest market capitalization and top trading liquidity in Thailand Stock Exchange for a period of 10 years during 2009-2018. After examine the data, only 760 samples are qualified under criteria. Two panel multiple regression models are implemented for statistic testing at the significant level 0.05. The results for model 1 (Long term debt) show positive and statistical significant effect of asset structure, size, liquidity and growth. While other three factors comprising profitability, non-debt tax shield and dividend policy indicate negative statistical relationships. The results for model 2 (Total debt) show positive and statistical significant effect of asset structure and growth. Whereas, two factors including profitability and liquidity display negative statistical correlation. The results of the two models are consistent with the Pecking Order theory for profitability and growth. High growth firms have higher need for funds then expect to borrow more. While asset structure is consistent with trade-off theory which hold that there should be a positive relationship between fixed assets and debt since fixed assets can serve as collateral. The explanatory variables which have the highest impact on capital structure choices for long term debt and total debt are non-debt tax shield and profitability respectively. Other independent variables such as product uniqueness, risk and macroeconomic indicators are subject to future research.

Dividend payout ratio has been a controversial topic among scholars for some decades. Researchers have different conclusion and attempt to construct theoretical models to defy factors that impact dividend payout ratio such as transaction theory or agency theory for examples. The purpose of this study is to investigate some financial indicators that affect the dividend payout ratio in Thailand's capital market. From existing literature reviews, we select seven factors including dividend payout ratio a previous year, corporate size, current ratio, debt to equity ratio, sale growth, free cash flow and return on equity or return on assets. This study uses secondary data collected from annual financial statements of listed companies in Thailand Stock Exchange exclude financial sector during 2014 -2016 periods. After we evaluate the data based on specific criteria, only 106 companies remained qualified. Therefore 318 firm-year financial information has applied for this study. A panel multiple regression model is implemented for statistic testing at the significant level 0.05. The results show the positive and statistically significant effect of current ratio, debt ratio and return on equity to dividend payout ratio. While the results show negative and statistically significance of sales growth to dividend payout ratio. The results are consistent with prior survey except for debt ratio which shows the opposite direction. However, the results show no significant effect of dividend payout ratio a previous year, firm size and free cash flow to dividend payout ratio. Nevertheless, return on assets is better explanation than return on equity since the result demonstrates higher r square. This research limits determinants from previous literatures. Other explanatory variables such as investment opportunities, business risk or firm life cycle are subject to future research.

A number of researches have been examined the volatility of stock price in capital market for quite some time. Many studies have been undertaken to explore determinants influencing fluctuation in stock prices in different markets and dissimilar conclusions are found. The purpose of this study attempts to determine the factors that cause stock prices to increase or decrease. Eight explanatory variables including dividend yield, growth, leverage, return on equity, bookvalue per share, earnings per share, price-earning (P/E) ratio, and net profit after tax have been selected, while one controllable variable is set as firm-size. Completed financial data of577 samples from companies listed in Thailand Stock Exchange (TSE) SET 100 Index, excluding financing and banking sector, during the period of 2009-2018 are analyzed. Multiple regression model with statistic testing at the significant level 0.05 has been implemented.The results indicate strongly positive significant association between return on equity, earnings per share, price earnings and net profit after tax on firm's stock price. Whereas dividend yield is the only factor that has negatively relationship with stock price. This model is supported with high R2 of 0.88. The findings in this study can assist investors or managers to comprehend the effect of specific determinants to company's stock price in Thai capital market.