Correlation Between Hedef Girisim and Politeknik Metal
Can any of the company-specific risk be diversified away by investing in both Hedef Girisim and Politeknik Metal 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 Hedef Girisim and Politeknik Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hedef Girisim Sermayesi and Politeknik Metal Sanayi, you can compare the effects of market volatilities on Hedef Girisim and Politeknik Metal 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 Hedef Girisim with a short position of Politeknik Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hedef Girisim and Politeknik Metal.
Diversification Opportunities for Hedef Girisim and Politeknik Metal
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hedef and Politeknik is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Hedef Girisim Sermayesi and Politeknik Metal Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Politeknik Metal Sanayi and Hedef Girisim 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 Hedef Girisim Sermayesi are associated (or correlated) with Politeknik Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Politeknik Metal Sanayi has no effect on the direction of Hedef Girisim i.e., Hedef Girisim and Politeknik Metal go up and down completely randomly.
Pair Corralation between Hedef Girisim and Politeknik Metal
Assuming the 90 days trading horizon Hedef Girisim Sermayesi is expected to generate 0.71 times more return on investment than Politeknik Metal. However, Hedef Girisim Sermayesi is 1.4 times less risky than Politeknik Metal. It trades about -0.05 of its potential returns per unit of risk. Politeknik Metal Sanayi is currently generating about -0.05 per unit of risk. If you would invest 181.00 in Hedef Girisim Sermayesi on October 4, 2024 and sell it today you would lose (28.00) from holding Hedef Girisim Sermayesi or give up 15.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hedef Girisim Sermayesi vs. Politeknik Metal Sanayi
Performance |
Timeline |
Hedef Girisim Sermayesi |
Politeknik Metal Sanayi |
Hedef Girisim and Politeknik Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hedef Girisim and Politeknik Metal
The main advantage of trading using opposite Hedef Girisim and Politeknik Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hedef Girisim position performs unexpectedly, Politeknik Metal 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 Politeknik Metal will offset losses from the drop in Politeknik Metal's long position.Hedef Girisim vs. Turkiye Kalkinma Bankasi | Hedef Girisim vs. Sodas Sodyum Sanayi | Hedef Girisim vs. Creditwest Faktoring AS | Hedef Girisim vs. MEGA 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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