Risk Tendency Index

EXPLANATIONS:

• The starting period of the index is April 2010 and the index is calculated and published on a weekly basis.


• The algorithm used to calculate the index was prepared in cooperation with MKK and Özyeğin University.


• REKS is used to measure investor risk tendency by scoring method.


• The ''Threshold value'' to be used in determining the investors to be included in the index is updated every year according to current macroeconomic data and investor portfolio dynamics.


• Due to the fact that the risk tendency of each investor profile may differ in the markets, separate indices are calculated for 6 different investor groups in additon to the general REKS index, which covers all investors.


• The Threshold value used to determine the investor to be included in the index is updated 1 time a year.
   
• REKS Funds calculation includes investments of domestic funds.
   
• Click here for the index methodology. 

Reservations: 

• The information contained herein has been prepared for general information purposes and the content cannot be guaranteed to be complete, accurate and strict time process. Generally accepted approaches are used in the calculations, and when compared with different sources, different results can be seen from the information contained herein. Although the data used are compiled from sources supported by scientific studies, the accuracy of the calculated variables cannot be guaranteed. MKK is not responsible for errors and deficiencies that may arise due to technological and mathematical differences in calculations.


• The results to be reached with the calculations should not be interpreted as a trading suggestion or a promise of return of any investment instrument. Making an investment decision based on these results may not produce results that are in line with your expectations. MKK is not responsible in any way for any direct and/or indirect damages that investors and third parties may incur as a result of the use of the information due to any errors/deficiencies in the use of the data.