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 international tourists’ expenditures in Thailand for the period 2009-2010. The results...

The objectives of this study are to find the fitting model and dependence measures of both Thailand’s exchange rate and Malaysia’s exchange rate during, between, and after the World’s recent financial crises based on linear, nonlinear and empirical copula approaches. The results of the...

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...

As a result of the increase in both the international tourists’ expenditures and tourist arrivals to Thailand, there is a growing interest in determining the trend of international tourists’ expenditures based on time-series modelling. In our article secondary data were used to...

There has been growing interest in studying behaviour of long memory process in tourism market. In this research examine the behaviour of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries. For example,...

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...

The dependence structure analysis of a financial time series of returns is significant when applied to contemporary financial risk management. Copula function is a flexible and effective tool to be used on modeling the financial model and risk management. This paper aims to set up the dependence...

This paper used different copula-based GARCH models (Copula-GARCH model and Copula-GJR-GARCH model) to analyze the dependence structure among gold price, stock price index of gold mining companies and Shanghai Composite Index in China. The empirical results found that the suitable margins were...