Correlation Between Trabzon Liman and Seker Finansal
Can any of the company-specific risk be diversified away by investing in both Trabzon Liman and Seker Finansal at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Trabzon Liman and Seker Finansal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Trabzon Liman Isletmeciligi and Seker Finansal Kiralama, you can compare the effects of market volatilities on Trabzon Liman and Seker Finansal and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Trabzon Liman with a short position of Seker Finansal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Trabzon Liman and Seker Finansal.
Diversification Opportunities for Trabzon Liman and Seker Finansal
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Trabzon and Seker is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Trabzon Liman Isletmeciligi and Seker Finansal Kiralama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seker Finansal Kiralama and Trabzon Liman is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Trabzon Liman Isletmeciligi are associated (or correlated) with Seker Finansal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seker Finansal Kiralama has no effect on the direction of Trabzon Liman i.e., Trabzon Liman and Seker Finansal go up and down completely randomly.
Pair Corralation between Trabzon Liman and Seker Finansal
Assuming the 90 days trading horizon Trabzon Liman Isletmeciligi is expected to under-perform the Seker Finansal. But the stock apears to be less risky and, when comparing its historical volatility, Trabzon Liman Isletmeciligi is 1.05 times less risky than Seker Finansal. The stock trades about -0.04 of its potential returns per unit of risk. The Seker Finansal Kiralama is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 900.00 in Seker Finansal Kiralama on October 9, 2024 and sell it today you would lose (132.00) from holding Seker Finansal Kiralama or give up 14.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.45% |
Values | Daily Returns |
Trabzon Liman Isletmeciligi vs. Seker Finansal Kiralama
Performance |
Timeline |
Trabzon Liman Isletm |
Seker Finansal Kiralama |
Trabzon Liman and Seker Finansal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Trabzon Liman and Seker Finansal
The main advantage of trading using opposite Trabzon Liman and Seker Finansal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Trabzon Liman position performs unexpectedly, Seker Finansal can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Seker Finansal will offset losses from the drop in Seker Finansal's long position.Trabzon Liman vs. KOC METALURJI | Trabzon Liman vs. Sodas Sodyum Sanayi | Trabzon Liman vs. Politeknik Metal Sanayi | Trabzon Liman vs. MEGA METAL |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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