Correlation Between Kofola CeskoSlovensko and MT 1997
Can any of the company-specific risk be diversified away by investing in both Kofola CeskoSlovensko and MT 1997 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 Kofola CeskoSlovensko and MT 1997 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kofola CeskoSlovensko as and MT 1997 AS, you can compare the effects of market volatilities on Kofola CeskoSlovensko and MT 1997 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 Kofola CeskoSlovensko with a short position of MT 1997. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kofola CeskoSlovensko and MT 1997.
Diversification Opportunities for Kofola CeskoSlovensko and MT 1997
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kofola and KLIKY is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Kofola CeskoSlovensko as and MT 1997 AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MT 1997 AS and Kofola CeskoSlovensko 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 Kofola CeskoSlovensko as are associated (or correlated) with MT 1997. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MT 1997 AS has no effect on the direction of Kofola CeskoSlovensko i.e., Kofola CeskoSlovensko and MT 1997 go up and down completely randomly.
Pair Corralation between Kofola CeskoSlovensko and MT 1997
Assuming the 90 days trading horizon Kofola CeskoSlovensko as is expected to generate 1.7 times more return on investment than MT 1997. However, Kofola CeskoSlovensko is 1.7 times more volatile than MT 1997 AS. It trades about 0.5 of its potential returns per unit of risk. MT 1997 AS is currently generating about -0.24 per unit of risk. If you would invest 33,300 in Kofola CeskoSlovensko as on September 2, 2024 and sell it today you would earn a total of 4,700 from holding Kofola CeskoSlovensko as or generate 14.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Kofola CeskoSlovensko as vs. MT 1997 AS
Performance |
Timeline |
Kofola CeskoSlovensko |
MT 1997 AS |
Kofola CeskoSlovensko and MT 1997 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kofola CeskoSlovensko and MT 1997
The main advantage of trading using opposite Kofola CeskoSlovensko and MT 1997 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kofola CeskoSlovensko position performs unexpectedly, MT 1997 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 MT 1997 will offset losses from the drop in MT 1997's long position.Kofola CeskoSlovensko vs. Moneta Money Bank | Kofola CeskoSlovensko vs. Komercni Banka AS | Kofola CeskoSlovensko vs. Cez AS | Kofola CeskoSlovensko vs. Erste Group Bank |
MT 1997 vs. Erste Group Bank | MT 1997 vs. JT ARCH INVESTMENTS | MT 1997 vs. UNIQA Insurance Group | MT 1997 vs. Vienna Insurance Group |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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