Abstract:

Purpose- The contribution of tourism sector to the national economy is crucial. But the sector has a structure which is always hold risks and uncertainties.  For this purpose, the distribution of daily trading volumes of the tourism companies that are located in the high-risk tourism sector and traded in BIST will be modelled. Methodology- As the distribution of BIST Tourism trading volume data does not suitable for normal distribution, it is modeled by analyzing with stable distributions. Findings- The parameters of stable distribution are estimated according to the quantiles method which one of the most used estimation methods. Conclusion- Estimated parameter values show that the stable distributions can be used as an appropriate model for daily trading volume of BIST tourism index. 

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