Correlation Between KOC METALURJI and Galatasaray Sportif
Can any of the company-specific risk be diversified away by investing in both KOC METALURJI and Galatasaray Sportif 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 KOC METALURJI and Galatasaray Sportif into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KOC METALURJI and Galatasaray Sportif Sinai, you can compare the effects of market volatilities on KOC METALURJI and Galatasaray Sportif 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 KOC METALURJI with a short position of Galatasaray Sportif. Check out your portfolio center. Please also check ongoing floating volatility patterns of KOC METALURJI and Galatasaray Sportif.
Diversification Opportunities for KOC METALURJI and Galatasaray Sportif
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between KOC and Galatasaray is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding KOC METALURJI and Galatasaray Sportif Sinai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galatasaray Sportif Sinai and KOC METALURJI 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 KOC METALURJI are associated (or correlated) with Galatasaray Sportif. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galatasaray Sportif Sinai has no effect on the direction of KOC METALURJI i.e., KOC METALURJI and Galatasaray Sportif go up and down completely randomly.
Pair Corralation between KOC METALURJI and Galatasaray Sportif
Assuming the 90 days trading horizon KOC METALURJI is expected to under-perform the Galatasaray Sportif. In addition to that, KOC METALURJI is 1.25 times more volatile than Galatasaray Sportif Sinai. It trades about -0.18 of its total potential returns per unit of risk. Galatasaray Sportif Sinai is currently generating about -0.03 per unit of volatility. If you would invest 202.00 in Galatasaray Sportif Sinai on December 25, 2024 and sell it today you would lose (13.00) from holding Galatasaray Sportif Sinai or give up 6.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KOC METALURJI vs. Galatasaray Sportif Sinai
Performance |
Timeline |
KOC METALURJI |
Galatasaray Sportif Sinai |
KOC METALURJI and Galatasaray Sportif Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KOC METALURJI and Galatasaray Sportif
The main advantage of trading using opposite KOC METALURJI and Galatasaray Sportif positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KOC METALURJI position performs unexpectedly, Galatasaray Sportif 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 Galatasaray Sportif will offset losses from the drop in Galatasaray Sportif's long position.KOC METALURJI vs. Politeknik Metal Sanayi | KOC METALURJI vs. DCT TRADING DIS | KOC METALURJI vs. Cuhadaroglu Metal Sanayi | KOC METALURJI vs. Borlease Otomotiv AS |
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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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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