Correlation Between Logismos Information and Karelia Tobacco
Specify exactly 2 symbols:
By analyzing existing cross correlation between Logismos Information Systems and Karelia Tobacco, you can compare the effects of market volatilities on Logismos Information and Karelia Tobacco 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 Logismos Information with a short position of Karelia Tobacco. Check out your portfolio center. Please also check ongoing floating volatility patterns of Logismos Information and Karelia Tobacco.
Diversification Opportunities for Logismos Information and Karelia Tobacco
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Logismos and Karelia is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Logismos Information Systems and Karelia Tobacco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Karelia Tobacco and Logismos Information 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 Logismos Information Systems are associated (or correlated) with Karelia Tobacco. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Karelia Tobacco has no effect on the direction of Logismos Information i.e., Logismos Information and Karelia Tobacco go up and down completely randomly.
Pair Corralation between Logismos Information and Karelia Tobacco
Assuming the 90 days trading horizon Logismos Information Systems is expected to generate 2.62 times more return on investment than Karelia Tobacco. However, Logismos Information is 2.62 times more volatile than Karelia Tobacco. It trades about 0.34 of its potential returns per unit of risk. Karelia Tobacco is currently generating about -0.1 per unit of risk. If you would invest 126.00 in Logismos Information Systems on September 15, 2024 and sell it today you would earn a total of 25.00 from holding Logismos Information Systems or generate 19.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Logismos Information Systems vs. Karelia Tobacco
Performance |
Timeline |
Logismos Information |
Karelia Tobacco |
Logismos Information and Karelia Tobacco Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Logismos Information and Karelia Tobacco
The main advantage of trading using opposite Logismos Information and Karelia Tobacco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Logismos Information position performs unexpectedly, Karelia Tobacco 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 Karelia Tobacco will offset losses from the drop in Karelia Tobacco's long position.Logismos Information vs. National Bank of | Logismos Information vs. Lampsa Hellenic Hotels | Logismos Information vs. Eurobank Ergasias Services | Logismos Information vs. Alpha Trust Mutual |
Karelia Tobacco vs. Greek Organization of | Karelia Tobacco vs. Jumbo SA | Karelia Tobacco vs. Mytilineos SA | Karelia Tobacco vs. Motor Oil Corinth |
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.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |