Correlation Between Ege Endustri and Prizma Pres
Can any of the company-specific risk be diversified away by investing in both Ege Endustri and Prizma Pres 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 Ege Endustri and Prizma Pres into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ege Endustri ve and Prizma Pres Matbaacilik, you can compare the effects of market volatilities on Ege Endustri and Prizma Pres 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 Ege Endustri with a short position of Prizma Pres. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ege Endustri and Prizma Pres.
Diversification Opportunities for Ege Endustri and Prizma Pres
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ege and Prizma is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Ege Endustri ve and Prizma Pres Matbaacilik in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prizma Pres Matbaacilik and Ege Endustri 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 Ege Endustri ve are associated (or correlated) with Prizma Pres. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prizma Pres Matbaacilik has no effect on the direction of Ege Endustri i.e., Ege Endustri and Prizma Pres go up and down completely randomly.
Pair Corralation between Ege Endustri and Prizma Pres
Assuming the 90 days trading horizon Ege Endustri ve is expected to generate 0.74 times more return on investment than Prizma Pres. However, Ege Endustri ve is 1.36 times less risky than Prizma Pres. It trades about 0.0 of its potential returns per unit of risk. Prizma Pres Matbaacilik is currently generating about -0.19 per unit of risk. If you would invest 1,001,500 in Ege Endustri ve on October 21, 2024 and sell it today you would lose (18,250) from holding Ege Endustri ve or give up 1.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ege Endustri ve vs. Prizma Pres Matbaacilik
Performance |
Timeline |
Ege Endustri ve |
Prizma Pres Matbaacilik |
Ege Endustri and Prizma Pres Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ege Endustri and Prizma Pres
The main advantage of trading using opposite Ege Endustri and Prizma Pres positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ege Endustri position performs unexpectedly, Prizma Pres 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 Prizma Pres will offset losses from the drop in Prizma Pres' long position.Ege Endustri vs. Turkiye Garanti Bankasi | Ege Endustri vs. Yapi ve Kredi | Ege Endustri vs. Akbank TAS | Ege Endustri vs. Turkiye Is Bankasi |
Prizma Pres vs. BIM Birlesik Magazalar | Prizma Pres vs. Haci Omer Sabanci | Prizma Pres vs. AG Anadolu Group | Prizma Pres vs. Sok Marketler Ticaret |
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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