Correlation Between Yesil Yapi and Trend Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Yesil Yapi and Trend Gayrimenkul 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 Yesil Yapi and Trend Gayrimenkul into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yesil Yapi Endustrisi and Trend Gayrimenkul Yatirim, you can compare the effects of market volatilities on Yesil Yapi and Trend Gayrimenkul 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 Yesil Yapi with a short position of Trend Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yesil Yapi and Trend Gayrimenkul.
Diversification Opportunities for Yesil Yapi and Trend Gayrimenkul
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yesil and Trend is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Yesil Yapi Endustrisi and Trend Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trend Gayrimenkul Yatirim and Yesil Yapi 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 Yesil Yapi Endustrisi are associated (or correlated) with Trend Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trend Gayrimenkul Yatirim has no effect on the direction of Yesil Yapi i.e., Yesil Yapi and Trend Gayrimenkul go up and down completely randomly.
Pair Corralation between Yesil Yapi and Trend Gayrimenkul
Assuming the 90 days trading horizon Yesil Yapi Endustrisi is expected to generate 1.33 times more return on investment than Trend Gayrimenkul. However, Yesil Yapi is 1.33 times more volatile than Trend Gayrimenkul Yatirim. It trades about 0.11 of its potential returns per unit of risk. Trend Gayrimenkul Yatirim is currently generating about 0.05 per unit of risk. If you would invest 140.00 in Yesil Yapi Endustrisi on April 22, 2025 and sell it today you would earn a total of 31.00 from holding Yesil Yapi Endustrisi or generate 22.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yesil Yapi Endustrisi vs. Trend Gayrimenkul Yatirim
Performance |
Timeline |
Yesil Yapi Endustrisi |
Trend Gayrimenkul Yatirim |
Yesil Yapi and Trend Gayrimenkul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yesil Yapi and Trend Gayrimenkul
The main advantage of trading using opposite Yesil Yapi and Trend Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yesil Yapi position performs unexpectedly, Trend Gayrimenkul 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 Trend Gayrimenkul will offset losses from the drop in Trend Gayrimenkul's long position.Yesil Yapi vs. KOC METALURJI | Yesil Yapi vs. Gentas Genel Metal | Yesil Yapi vs. Silverline Endustri ve | Yesil Yapi vs. Datagate Bilgisayar Malzemeleri |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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