@article{article_371878, title={MODELLING OF BIST TOURISM INDEX’S TRADING VOLUME WITH STABLE PARETIAN DISTRIBUTIONS}, journal={PressAcademia Procedia}, volume={6}, pages={11–18}, year={2017}, DOI={10.17261/Pressacademia.2017.738}, author={Basegmez, Hulya and Cekici, Elif}, keywords={Stable distributions,BIST,Symmetric stable distributions}, abstract={<p class="MsoNormal" align="left" style="margin:0cm 0cm .45pt -.25pt;line-height:95%;"> <b>Purpose- </b> 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. </p> <p> </p> <p class="MsoNormal" style="margin-top:0cm;margin-right:0cm;margin-bottom:.0001pt;margin-left:-.15pt;"> <b>Methodology- </b>As the distribution of BIST Tourism trading volume data does not suitable
for normal distribution, it is modeled by analyzing with stable distributions. </p> <p> </p> <p class="MsoNormal" style="margin-top:0cm;margin-right:0cm;margin-bottom:.0001pt;margin-left:-.15pt;"> <b>Findings- </b>
The parameters of stable distribution are estimated according to the quantiles
method which one of the most used estimation methods. </p> <p> </p> <p> </p> <p class="MsoNormal" style="margin-top:0cm;margin-right:0cm;margin-bottom:.0001pt;margin-left:-.15pt;"> <b>Conclusion- </b>
Estimated parameter values show that the stable distributions can be used as an
appropriate model for daily trading volume of BIST tourism index.  </p> <p> </p>}, number={1}, publisher={Suat TEKER}