Correlation Between Logan Ridge and KEYCORP
Specify exactly 2 symbols:
By analyzing existing cross correlation between Logan Ridge Finance and KEYCORP MTN, you can compare the effects of market volatilities on Logan Ridge and KEYCORP 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 Logan Ridge with a short position of KEYCORP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Logan Ridge and KEYCORP.
Diversification Opportunities for Logan Ridge and KEYCORP
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Logan and KEYCORP is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Logan Ridge Finance and KEYCORP MTN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KEYCORP MTN and Logan Ridge 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 Logan Ridge Finance are associated (or correlated) with KEYCORP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KEYCORP MTN has no effect on the direction of Logan Ridge i.e., Logan Ridge and KEYCORP go up and down completely randomly.
Pair Corralation between Logan Ridge and KEYCORP
Given the investment horizon of 90 days Logan Ridge Finance is expected to generate 0.83 times more return on investment than KEYCORP. However, Logan Ridge Finance is 1.21 times less risky than KEYCORP. It trades about 0.04 of its potential returns per unit of risk. KEYCORP MTN is currently generating about -0.02 per unit of risk. If you would invest 2,054 in Logan Ridge Finance on October 3, 2024 and sell it today you would earn a total of 445.00 from holding Logan Ridge Finance or generate 21.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Logan Ridge Finance vs. KEYCORP MTN
Performance |
Timeline |
Logan Ridge Finance |
KEYCORP MTN |
Logan Ridge and KEYCORP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Logan Ridge and KEYCORP
The main advantage of trading using opposite Logan Ridge and KEYCORP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Logan Ridge position performs unexpectedly, KEYCORP 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 KEYCORP will offset losses from the drop in KEYCORP's long position.Logan Ridge vs. Visa Class A | Logan Ridge vs. Diamond Hill Investment | Logan Ridge vs. Distoken Acquisition | Logan Ridge vs. AllianceBernstein Holding LP |
KEYCORP vs. US BANK NATIONAL | KEYCORP vs. Vanguard 500 Index | KEYCORP vs. Vanguard 500 Index | KEYCORP vs. Microsoft |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |