Correlation Between Guler Yatirim and Marka Yatirim
Can any of the company-specific risk be diversified away by investing in both Guler Yatirim and Marka 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 Guler Yatirim and Marka Yatirim into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guler Yatirim Holding and Marka Yatirim Holding, you can compare the effects of market volatilities on Guler Yatirim and Marka 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 Guler Yatirim with a short position of Marka Yatirim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guler Yatirim and Marka Yatirim.
Diversification Opportunities for Guler Yatirim and Marka Yatirim
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Guler and Marka is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Guler Yatirim Holding and Marka Yatirim Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marka Yatirim Holding and Guler 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 Guler Yatirim Holding are associated (or correlated) with Marka Yatirim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marka Yatirim Holding has no effect on the direction of Guler Yatirim i.e., Guler Yatirim and Marka Yatirim go up and down completely randomly.
Pair Corralation between Guler Yatirim and Marka Yatirim
Assuming the 90 days trading horizon Guler Yatirim is expected to generate 12.61 times less return on investment than Marka Yatirim. But when comparing it to its historical volatility, Guler Yatirim Holding is 1.62 times less risky than Marka Yatirim. It trades about 0.01 of its potential returns per unit of risk. Marka Yatirim Holding is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 502.00 in Marka Yatirim Holding on September 20, 2024 and sell it today you would earn a total of 5,533 from holding Marka Yatirim Holding or generate 1102.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Guler Yatirim Holding vs. Marka Yatirim Holding
Performance |
Timeline |
Guler Yatirim Holding |
Marka Yatirim Holding |
Guler Yatirim and Marka Yatirim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guler Yatirim and Marka Yatirim
The main advantage of trading using opposite Guler Yatirim and Marka Yatirim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guler Yatirim position performs unexpectedly, Marka 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 Marka Yatirim will offset losses from the drop in Marka Yatirim's long position.Guler Yatirim vs. Bms Birlesik Metal | Guler Yatirim vs. Politeknik Metal Sanayi | Guler Yatirim vs. MEGA METAL | Guler Yatirim vs. Koza Anadolu 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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