Correlation Between ALBIS LEASING and Chesapeake Utilities
Can any of the company-specific risk be diversified away by investing in both ALBIS LEASING and Chesapeake Utilities 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 Chesapeake Utilities 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 Chesapeake Utilities, you can compare the effects of market volatilities on ALBIS LEASING and Chesapeake Utilities 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 Chesapeake Utilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALBIS LEASING and Chesapeake Utilities.
Diversification Opportunities for ALBIS LEASING and Chesapeake Utilities
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ALBIS and Chesapeake is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding ALBIS LEASING AG and Chesapeake Utilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chesapeake Utilities 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 Chesapeake Utilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chesapeake Utilities has no effect on the direction of ALBIS LEASING i.e., ALBIS LEASING and Chesapeake Utilities go up and down completely randomly.
Pair Corralation between ALBIS LEASING and Chesapeake Utilities
Assuming the 90 days trading horizon ALBIS LEASING AG is expected to generate 0.47 times more return on investment than Chesapeake Utilities. However, ALBIS LEASING AG is 2.12 times less risky than Chesapeake Utilities. It trades about 0.0 of its potential returns per unit of risk. Chesapeake Utilities is currently generating about -0.02 per unit of risk. If you would invest 278.00 in ALBIS LEASING AG on November 29, 2024 and sell it today you would earn a total of 0.00 from holding ALBIS LEASING AG or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ALBIS LEASING AG vs. Chesapeake Utilities
Performance |
Timeline |
ALBIS LEASING AG |
Chesapeake Utilities |
ALBIS LEASING and Chesapeake Utilities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALBIS LEASING and Chesapeake Utilities
The main advantage of trading using opposite ALBIS LEASING and Chesapeake Utilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALBIS LEASING position performs unexpectedly, Chesapeake Utilities 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 Chesapeake Utilities will offset losses from the drop in Chesapeake Utilities' long position.ALBIS LEASING vs. Hastings Technology Metals | ALBIS LEASING vs. Sunny Optical Technology | ALBIS LEASING vs. PKSHA TECHNOLOGY INC | ALBIS LEASING vs. ASM Pacific Technology |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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