Structural equation modeling (LISREL 8) was used to test the causal relationships between tourist travel motivations (travel cost satisfaction) and tourist destination (tourism product, tourism product attributes, and tourism product management). A survey containing Likert-type scales was used...

This paper mainly has two purposes. On the one hand, it aims to find the appropriate models for forecasting the Real Estate Sector Stock and Shenzhen Index in People’s Republic of China, respectively. On the other hand, this paper will analyze the dependence measures between these two kinds of...

This paper investigates the relationship between People’s Republic of China’s exchange rates and Thailand’s exchange rates. The selection of several mixed forecasting consisting of linear model, nonlinear models and copulas approach was experimented of People’s Republic of China’s...

The ASEAN Economic Community (AEC) will be shaped developing to be a single market and production base in 2015, moving towards regional Economic Integration, 2009. These developments in international financial markets do lead to some adverse cost for AEC country borrowers. The specific objective...

This common aim provides a general framework for specifying, estimating, and testing time series econometric models using maximum entropy bootstrap (MEB) to test with data in time series from Stock Market of Thailand. The MEB is quantitatively reviewed for the first time to investigate the...

In our research we examine the behaviour of both Thailand’s and India’s international tourism market by using long-memory analysis. The international tourism market of Thailand combined with seven groups such as East Asia, Europe, The Americas, South Asia, Oceania, Middle East and...

There have been growing interest in studying behavior of long memory process in tourism market. In this research examine the behavior of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries: USA, UK,...

Forecasting is an essential analytical tool for tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q). Secondary data was used to produce forecasts of international tourists’ expenditures in Thailand for the period 2009-2010. The results...

This paper sought to find the long-run relationships between international tourist arrivals in Thailand and economic variables such as GDP, transportation cost and exchange rates during period of 1986 to 2007. Also this paper used five standard panel unit root tests such as LLC (2002) panel unit...

Forecasting is an essential analytical tool for tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q). Secondary data was used to produce forecasts of the number of international tourist arrivals to Thailand for the period of 2009-2010....