Correlation Between Global Menkul and Koza Anadolu
Can any of the company-specific risk be diversified away by investing in both Global Menkul and Koza Anadolu 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 Global Menkul and Koza Anadolu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Menkul Degerler and Koza Anadolu Metal, you can compare the effects of market volatilities on Global Menkul and Koza Anadolu 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 Global Menkul with a short position of Koza Anadolu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Menkul and Koza Anadolu.
Diversification Opportunities for Global Menkul and Koza Anadolu
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Global and Koza is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Global Menkul Degerler and Koza Anadolu Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koza Anadolu Metal and Global Menkul 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 Global Menkul Degerler are associated (or correlated) with Koza Anadolu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koza Anadolu Metal has no effect on the direction of Global Menkul i.e., Global Menkul and Koza Anadolu go up and down completely randomly.
Pair Corralation between Global Menkul and Koza Anadolu
Assuming the 90 days trading horizon Global Menkul Degerler is expected to under-perform the Koza Anadolu. But the stock apears to be less risky and, when comparing its historical volatility, Global Menkul Degerler is 1.1 times less risky than Koza Anadolu. The stock trades about -0.13 of its potential returns per unit of risk. The Koza Anadolu Metal is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 7,010 in Koza Anadolu Metal on December 27, 2024 and sell it today you would earn a total of 1,050 from holding Koza Anadolu Metal or generate 14.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Global Menkul Degerler vs. Koza Anadolu Metal
Performance |
Timeline |
Global Menkul Degerler |
Koza Anadolu Metal |
Global Menkul and Koza Anadolu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Menkul and Koza Anadolu
The main advantage of trading using opposite Global Menkul and Koza Anadolu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Menkul position performs unexpectedly, Koza Anadolu 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 Koza Anadolu will offset losses from the drop in Koza Anadolu's long position.Global Menkul vs. Mackolik Internet Hizmetleri | Global Menkul vs. Politeknik Metal Sanayi | Global Menkul vs. Koza Anadolu Metal | Global Menkul vs. Turkiye Kalkinma Bankasi |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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