MODELLING OF BIST TOURISM INDEX’S TRADING VOLUME WITH STABLE PARETIAN DISTRIBUTIONS

Year 2017, Volume: 6 Issue: 1, 11 - 18, 30.12.2017

Hulya Basegmez Elif Cekici

https://doi.org/10.17261/Pressacademia.2017.738

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. 

Keywords

Stable distributions, BIST, Symmetric stable distributions

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