The research was aimed at studying 1) work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand 2) the influence of work motivation and self-development towards work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand and 3) guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand. The questionnaires were constructed as a research tool with content validity and reliability for collecting information from 997 accountants working for the companies registered in the Stock Exchange of Thailand. The data was statistically analyzed by SPSS version 16.0 and AMOS version 6.0 with frequency distribution percentage arithmetic mean standard deviation and structural equation model analysis: SEM. The research findings indicated that the accountants in the sample group had maintenance and motivator factors in their work motivation at high level (  =3.56) and they also had professional emotional and physical development in their self-development at high level while their social development was at moderate level. Totally it said the self-development was at high level (  =3.60) and the work efficiency was 60.31%. The urgent guidelines for improving work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand were setting more appropriate working environment such as temperature brightness smell noise cleanliness safety furniture and office supplies. Furthermore the influence of maintenance and motivator factors in the work motivation and self-development had casual relationship with work efficiency of the accountants working for the companies registered in the Stock Exchange of Thailand at a statistical significance of the 0.05 and had ability to predict at good level and acceptably because the square multiple orrelation was 87.6% which its acceptance was 40% up presented by structural equation model analysis: SEM as follow: SeD = 0.070 MaF + 0.723* MoF; R2 = 0.528 WE = 0.340* MaF + 0.746* MoF+ 0.450* SeD; R2 = 0.876

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 objectives of this research are to analyze the relationship between securities price and the efficiency of the account receivable management and to study the model of improving the efficiency of the account receivable management of the agricultural business group in the Stock Exchange of Thailand. The number of data which had been used in this research was 16 random companies of all 22 companies from the listed companies in the Stock Exchange of Thailand agricultural business group by using purposive sampling method. The researcher used both quantitative and descriptive analysis method by bringing the quantitative data analysis from 2006-2010 to descriptive analyzing which had compared between the selling revenue account receivable value allowance for doubtful bad debt account receivable turnover average collection period book value per share primary earnings per share and securities price. The results of analyzing are changing in the account receivable of Chiangmai Frozen Foods Pcl. Lee Pattana Pcl.; changing in the bad debt of Pak Food Pcl.; changing in the average collection period of Thai Rubber Latex Corporation (Thailand) Pcl. Pak Food Pcl.; changing in the book value per share of Pak Food Pcl. Kiang Huat Sea Gull Trading Frozen Food Asian Seafoods Pcl. Asian Seafoods Pcl.; changing in the primary earnings per share of Thai Rubber Latex Corporation (Thailand) Pcl. Thai Luxe Enterprise Pcl. Lee Pattana Pcl. and Kiang Huat Sea Gull Trading Frozen Food Asian Seafoods had related to securities price per share.

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