Correlation Between ALBIS LEASING and National Grid
Can any of the company-specific risk be diversified away by investing in both ALBIS LEASING and National Grid 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 ALBIS LEASING and National Grid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALBIS LEASING AG and National Grid PLC, you can compare the effects of market volatilities on ALBIS LEASING and National Grid 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 ALBIS LEASING with a short position of National Grid. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALBIS LEASING and National Grid.
Diversification Opportunities for ALBIS LEASING and National Grid
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ALBIS and National is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding ALBIS LEASING AG and National Grid PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Grid PLC and ALBIS LEASING 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 ALBIS LEASING AG are associated (or correlated) with National Grid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Grid PLC has no effect on the direction of ALBIS LEASING i.e., ALBIS LEASING and National Grid go up and down completely randomly.
Pair Corralation between ALBIS LEASING and National Grid
Assuming the 90 days trading horizon ALBIS LEASING AG is expected to under-perform the National Grid. But the stock apears to be less risky and, when comparing its historical volatility, ALBIS LEASING AG is 2.46 times less risky than National Grid. The stock trades about -0.04 of its potential returns per unit of risk. The National Grid PLC is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,140 in National Grid PLC on December 23, 2024 and sell it today you would earn a total of 50.00 from holding National Grid PLC or generate 4.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ALBIS LEASING AG vs. National Grid PLC
Performance |
Timeline |
ALBIS LEASING AG |
National Grid PLC |
ALBIS LEASING and National Grid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALBIS LEASING and National Grid
The main advantage of trading using opposite ALBIS LEASING and National Grid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALBIS LEASING position performs unexpectedly, National Grid 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 National Grid will offset losses from the drop in National Grid's long position.ALBIS LEASING vs. Axway Software SA | ALBIS LEASING vs. OPERA SOFTWARE | ALBIS LEASING vs. SOUTHWEST AIRLINES | ALBIS LEASING vs. China Eastern Airlines |
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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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