This research aimed to study the influence of P/E ratio and market capitalization on returns of the securities in the energy sector in the Stock Exchange of Thailand. In this research the researcher has studied and collected data from the closing prices of the securities in energy sector that are currently traded in the Stock Exchange of Thailand. From January 2015 to December 2019 from the Stock Exchange of Thailand 15 companies and used descriptive analysis mean and standard deviation to test the relationship between independent variables by using correlation analysis and multiple regression analysis to determine the influence of P/E ratio and market capitalization on returns of the securities in the energy sector. The results of the research showed that the P/E ratio had a significant positive influence on returns of the energy securities in the Stock Exchange of Thailand. The market capitalization factor also found that it had no influence on returns of the energy securities in the Stock Exchange of Thailand.

This research aims to study the relationship between profitability which included gross margin operating margin net profit margin return on assets return on equity and earnings per share and price to earnings ratio and dividend yield. The data were collected from financial statements and the annual reports of the companies listed on the Stock Exchange of Thailand (SET100). The top three companies selected should yield a maximum registered capital of each business category from the 1st January to the 31st of December during 2012 and 2015. 20 companies were chosen. The statistics used in the data analysis were descriptive and analyzed by arithmetic mean maximum minimum Standard Deviation and Pearson Correlation Coefficients to describe the characteristics of the collected data. The results of the study revealed that profitability gained from the gross margin operating margin net profit margin return on assets and return on equity. The earnings per share ratio were related to the price to earnings ratio and dividend yield at the reliability level of 95% and 99%.

This research aimed to study the factors affecting return of gold futures in Thailand futures exchange. The study used the daily historical data of five years from January 1 2011 - December 31 2015. There were five factors to be used in the study. They were Interbank Rate Set Index Exchange World Crude Oil Price and Gold Price and Used the Descriptive statistics to test the basic data and the Multiple Regression Analysis to test the hypothesis. The study found that the Interbank Rate Set Index Exchange Rate World Crude Oil Price and Gold Price were able to forecast the Coefficient of Determination (R2) approximately at 0.617. It showed that the independent variables in the model could explain the change of dependent variable at 61.70% and found that the most affecting factors on return of gold futures were Gold Price and Interbank rate by having the same directional relationship with the return of the Gold Futures in the Thailand Futures Exchange.

The study on the relationship between financial ratios and returns from stock price ratios in the Market for Alternative Investment (MAI) aims to study the relationship between financial ratios and returns from the stock price ratio on the Market for Alternative Investment (MAI) and to the relationship between financial ratios and returns from the ratio of stock prices in the primary market The MAI of the companies with a high yield and the companies with low yield. The data is collected from 32 companies 151 samples listed on the Market for Alternative Investment (MAI). They are separated into 74 high-yield companies and 77 low-yield companies. The data is analyzed using descriptive statistical analysis including mean and standard deviation and inferential statistics including Pearson’s Correlation Coefficient Analysis and multiple regression analysis. The results showed that the working capital ratio (Log10CR) and net profit to equity ratio (ROE) were positively correlated with stock price ratio. The fast working capital ratio (Log10QR) and the net profit margin ratio (ROA) have a negative relationship with stock price ratio. The net profit margin (NPM) and the operating profit to income ratio (OIM) have no relationship with the share price ratio.

This research is intended; 1. To analyze the higher executives point of view affecting return on investment for neuro training. 2. To determine and examine the future possibility model on return on investment for neuro training. This study was qualitative research methodology using Delphi technique. The sample population of the study covers the training management experts entrepreneurs and relevant to neuro training including accounting on return on investment bureau groups 21 persons in total with the selection through purposing sampling. The research result found that there are five factors: 1) training environmental management 2) organization policy and regulation 3) job responsibility learning building for employee engagement and 5) measuring for return on investment for employee security leaning. In training environmental management factor 1. To preparing trainers characteristics. 2. To develop training for the trainer content. 3. To preparing training equipment and information technology. 4. To provide web server character using for internet training. 5. To provide training place environment and internet training. 6. To provide service place for computer equipment and wireless internet high speed to support internet network system. 7. To management on environmental current and training support matter that suitable and sufficiency for learning. In organizational policy and equation factor 1. To educate employee with goal policy for each year of organizational procedure. 2. To develop and improve criteria regulation to relevance organizational planning and realistic situation in each job function line. 3. To compare job performance by classic production line and staff including internet network system as well as selling and make profit center. 4. To convey how to fix employee understanding in rule and regulation that relevance job working. 5. To cover the regulation practice and training optimation for business working. 6. To be flexibled for training on network system because it take time more than general training. 7. To have training step and methodology that relevance organizational and business policy. 8. To have budget allocation that suitable and sufficiency for employee performance. 9. To supporting employee that get creative and teamwork. In job responsibility learning factor 1. To develop trainee learning based on organizational regulation and criteria. 2. To improve job responsibility knowledge about principle concept and theory for training management on internet network system. 3. To develop job skill of trainee for create job performance. 4. To instill employee learning for virtue and ethics on job function and organization. 5. To educate trainee learning on creativity training and practice. 6. To appeal trainee on training content interesting for employee awareness to employee performance. 7. To motivate trainees for words of month and have good organizational image after training. 8. To plan for exchange training knowledge in advance about strength weakness threat and opportunity of organizational performance for create business competitive. In building for employee engagement 1. To build organizational learning and employee development from training. 2. To improve trainee self assessment for his or her performance and information technology skill. 3. To plan for career path progress. 4. To convey trainee experience learning to the others for establish organizational performance. In measuring for return on investment from employee security learning on the job working. 1. To analyze the job satisfaction that employee perspectives affecting organization security. 2. To analyze zero defect low fringe benefits expenses and saving energy cooperation. 3. To analyze work safety better life and health care affecting fringe benefits expenses risk management and so on.