Correlation Between Politeknik Metal and Soktas Tekstil
Can any of the company-specific risk be diversified away by investing in both Politeknik Metal and Soktas Tekstil 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 Politeknik Metal and Soktas Tekstil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Politeknik Metal Sanayi and Soktas Tekstil Sanayi, you can compare the effects of market volatilities on Politeknik Metal and Soktas Tekstil 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 Politeknik Metal with a short position of Soktas Tekstil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Politeknik Metal and Soktas Tekstil.
Diversification Opportunities for Politeknik Metal and Soktas Tekstil
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Politeknik and Soktas is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Politeknik Metal Sanayi and Soktas Tekstil Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Soktas Tekstil Sanayi and Politeknik Metal 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 Politeknik Metal Sanayi are associated (or correlated) with Soktas Tekstil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Soktas Tekstil Sanayi has no effect on the direction of Politeknik Metal i.e., Politeknik Metal and Soktas Tekstil go up and down completely randomly.
Pair Corralation between Politeknik Metal and Soktas Tekstil
Assuming the 90 days trading horizon Politeknik Metal Sanayi is expected to generate 1.17 times more return on investment than Soktas Tekstil. However, Politeknik Metal is 1.17 times more volatile than Soktas Tekstil Sanayi. It trades about 0.09 of its potential returns per unit of risk. Soktas Tekstil Sanayi is currently generating about 0.03 per unit of risk. If you would invest 149,779 in Politeknik Metal Sanayi on October 11, 2024 and sell it today you would earn a total of 531,721 from holding Politeknik Metal Sanayi or generate 355.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Politeknik Metal Sanayi vs. Soktas Tekstil Sanayi
Performance |
Timeline |
Politeknik Metal Sanayi |
Soktas Tekstil Sanayi |
Politeknik Metal and Soktas Tekstil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Politeknik Metal and Soktas Tekstil
The main advantage of trading using opposite Politeknik Metal and Soktas Tekstil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Politeknik Metal position performs unexpectedly, Soktas Tekstil 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 Soktas Tekstil will offset losses from the drop in Soktas Tekstil's long position.Politeknik Metal vs. Turkiye Kalkinma Bankasi | Politeknik Metal vs. MEGA METAL | Politeknik Metal vs. Cuhadaroglu Metal Sanayi | Politeknik Metal vs. Sekerbank 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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