Correlation Between Marti Gayrimenkul and Gedik Yatirim
Can any of the company-specific risk be diversified away by investing in both Marti Gayrimenkul and Gedik Yatirim 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 Marti Gayrimenkul and Gedik Yatirim into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marti Gayrimenkul Yatirim and Gedik Yatirim Menkul, you can compare the effects of market volatilities on Marti Gayrimenkul and Gedik Yatirim 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 Marti Gayrimenkul with a short position of Gedik Yatirim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marti Gayrimenkul and Gedik Yatirim.
Diversification Opportunities for Marti Gayrimenkul and Gedik Yatirim
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Marti and Gedik is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Marti Gayrimenkul Yatirim and Gedik Yatirim Menkul in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gedik Yatirim Menkul and Marti Gayrimenkul 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 Marti Gayrimenkul Yatirim are associated (or correlated) with Gedik Yatirim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gedik Yatirim Menkul has no effect on the direction of Marti Gayrimenkul i.e., Marti Gayrimenkul and Gedik Yatirim go up and down completely randomly.
Pair Corralation between Marti Gayrimenkul and Gedik Yatirim
Assuming the 90 days trading horizon Marti Gayrimenkul Yatirim is expected to under-perform the Gedik Yatirim. In addition to that, Marti Gayrimenkul is 1.35 times more volatile than Gedik Yatirim Menkul. It trades about -0.14 of its total potential returns per unit of risk. Gedik Yatirim Menkul is currently generating about -0.02 per unit of volatility. If you would invest 755.00 in Gedik Yatirim Menkul on December 21, 2024 and sell it today you would lose (44.00) from holding Gedik Yatirim Menkul or give up 5.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Marti Gayrimenkul Yatirim vs. Gedik Yatirim Menkul
Performance |
Timeline |
Marti Gayrimenkul Yatirim |
Gedik Yatirim Menkul |
Marti Gayrimenkul and Gedik Yatirim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marti Gayrimenkul and Gedik Yatirim
The main advantage of trading using opposite Marti Gayrimenkul and Gedik Yatirim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marti Gayrimenkul position performs unexpectedly, Gedik Yatirim 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 Gedik Yatirim will offset losses from the drop in Gedik Yatirim's long position.Marti Gayrimenkul vs. ICBC Turkey Bank | Marti Gayrimenkul vs. Gentas Genel Metal | Marti Gayrimenkul vs. Politeknik Metal Sanayi | Marti Gayrimenkul vs. DCT TRADING DIS |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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