Correlation Between Yesil Yatirim and Gozde Girisim
Can any of the company-specific risk be diversified away by investing in both Yesil Yatirim and Gozde Girisim 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 Yatirim and Gozde Girisim into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yesil Yatirim Holding and Gozde Girisim Sermayesi, you can compare the effects of market volatilities on Yesil Yatirim and Gozde Girisim 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 Yatirim with a short position of Gozde Girisim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yesil Yatirim and Gozde Girisim.
Diversification Opportunities for Yesil Yatirim and Gozde Girisim
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Yesil and Gozde is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Yesil Yatirim Holding and Gozde Girisim Sermayesi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gozde Girisim Sermayesi and Yesil Yatirim 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 Yatirim Holding are associated (or correlated) with Gozde Girisim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gozde Girisim Sermayesi has no effect on the direction of Yesil Yatirim i.e., Yesil Yatirim and Gozde Girisim go up and down completely randomly.
Pair Corralation between Yesil Yatirim and Gozde Girisim
Assuming the 90 days trading horizon Yesil Yatirim Holding is expected to generate 1.95 times more return on investment than Gozde Girisim. However, Yesil Yatirim is 1.95 times more volatile than Gozde Girisim Sermayesi. It trades about 0.33 of its potential returns per unit of risk. Gozde Girisim Sermayesi is currently generating about 0.06 per unit of risk. If you would invest 128.00 in Yesil Yatirim Holding on September 13, 2024 and sell it today you would earn a total of 98.00 from holding Yesil Yatirim Holding or generate 76.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Yesil Yatirim Holding vs. Gozde Girisim Sermayesi
Performance |
| Timeline |
| Yesil Yatirim Holding |
| Gozde Girisim Sermayesi |
Yesil Yatirim and Gozde Girisim Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Yesil Yatirim and Gozde Girisim
The main advantage of trading using opposite Yesil Yatirim and Gozde Girisim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yesil Yatirim position performs unexpectedly, Gozde Girisim 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 Gozde Girisim will offset losses from the drop in Gozde Girisim's long position.| Yesil Yatirim vs. Bms Birlesik Metal | Yesil Yatirim vs. Turkiye Kalkinma Bankasi | Yesil Yatirim vs. Cuhadaroglu Metal Sanayi | Yesil Yatirim vs. Akbank TAS |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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