The purpose of this research the study of the potential of Suphanburi area for planting investment. In which the researcher has studied the soil data set that is different in each area of Suphanburi. That is quite diverse if divided by each district in Suphanburi province themselves from the basic information report in Suphanburi and the agricultural information of Suphanburi for the year 2017 when comparing with the soil set of Suphanburi it can be seen that the cultivation is quite comprehensive all. Although there are cultivated plants in Suphanburi farmers must consider the amount of water sufficient for cultivation. Topsoil maintenance in the case of repeated planting of crops in 1 year to obtain quality produce and prices. At times the agricultural market prices dropped. Farmers will have to modify the cultivation to meet the market demand. Or the cultivation of plants by considering the amount of water that is used in the cultivation as well.

The purpose of this research is to study the relationship between accounting information including total assets cash flows from operating activities earnings per share book value dividend yield ratio and market value of listed companies in the Stock Exchange of Thailand. The data is collected from 605 listed companies in the Stock Exchange of Thailand SET. Only 407companies that have complete information in the year 2013 – 2017 are selected. Using descriptive statistics and correlation statistics the study of the sample group finds that all independent variables are positively correlated with the dependent variables with the statistical significance at 0.01 (P <0.01). The book value correlates with the market price of the securities at a moderate level (r = 0.599). The remaining variables are related to market prices in low and very low levels.

ECONOMICS VALUE ANALYSIS OF INVESTMENT POLYCYSTALLINE DIAMOND(PCD) CUTTING TOOLS BRAZING. The objective was to study the possible economic investment welding vacuum (High Vacuum Brazing Machine) Case Study JK Precision Seasons Ltd. to produce inserts with diamonds (Diamond Insert) and quality. reduce the cost of production The experiment storage costs during the production process inserts with diamond original method and process used welding machines vacuum (High Vacuum Brazing Machine) by the project matures in 10 years the life cycle of the equipment by the companys accounts. it can be concluded that the project Investment welding machines vacuum (High Vacuum Brazing Machine) is worth the investment. By comparison the production cost of current methods and using new welding machines vacuum (High Vacuum Brazing Machine) found that the cost of production when using welding machines vacuum (High Vacuum Brazing Machine) down 31 baht / piece the production process. down two steps and increased productivity in a new way. 72413 pieces / year When analyzing the cost of Economics found that the value equivalent’ contaminated current net (Net Present Value) Payback period (Payback Period) rate of return of the Project (Internal rate of Return) Previous year current net’ Baht 443902559 Baht rate of return of the project is the of 3172% summarized the’ value. The project studies the possible invest welding vacuum (High vacuum Brazing machine) is suitable for investment.

The objective of this research is to select a proper cumulative function for trend in an analysis of simultaneous multiple time series data with autocorrelation trend and outliers using a Bayesian method. The proposed model is applied to fluctuate stock price data in the stock exchange of Thailand. The data consist of the closing prices of 5 stocks. The algorithms are written in OpenBUGS and the performance of the model is evaluated via a simulation study in R. The cumulative distribution functions considered here are a Weibull cumulative distribution function and an exponential cumulative distribution. They are compared using RMSE MAPE and MAE as criteria. The research found that an exponential cumulative function for trends gives smaller values of the three criteria in both model fitting and model validation for the4 stocks EA NWR and KTB. However a Weibull cumulative distribution function gives smaller values of three criteria for the PTT in both model fitting and model validation.

The purpose of this study is to compare four forecasting methods on SET Index SET 50 Index and SET 100 index. These methods are Simple Exponential Smoothing Holt’s Method Box-Jenkins Method and Regression Analysis. Two sets of Index data were used in this study. The first one used as a training set was collected at the end of each day from January 2 2008 to September 30 2011. The other one used as a testing set was collected at the end of each day from October 3 2011 to October 14 2011. The diagnostic check was used to test each method. The MAE MSE and MAPE from each method shows that Box-Jenkins is more appropriate to the forecasting of SET Index SET 50 Index and SET 100 Index because its MAE MSE and MAPE are fairly low and have no autocorrelations. This leads to the conclusion that the appropriate models for forecasting of SET Index SET 50 Index and SET 100 Index are ARIMA (212) ARIMA (213) and ARIMA (213) respectively. The most stock market indices are correlated to SET Index SET 50 Index and SET 100 Index is Composite Index of Indonesia