Correlation Between Federal Home and Booking Holdings
Can any of the company-specific risk be diversified away by investing in both Federal Home and Booking Holdings 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 Federal Home and Booking Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal Home Loan and Booking Holdings, you can compare the effects of market volatilities on Federal Home and Booking Holdings 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 Federal Home with a short position of Booking Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal Home and Booking Holdings.
Diversification Opportunities for Federal Home and Booking Holdings
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Federal and Booking is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Federal Home Loan and Booking Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Booking Holdings and Federal Home 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 Federal Home Loan are associated (or correlated) with Booking Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Booking Holdings has no effect on the direction of Federal Home i.e., Federal Home and Booking Holdings go up and down completely randomly.
Pair Corralation between Federal Home and Booking Holdings
Assuming the 90 days horizon Federal Home Loan is expected to generate 6.41 times more return on investment than Booking Holdings. However, Federal Home is 6.41 times more volatile than Booking Holdings. It trades about 0.46 of its potential returns per unit of risk. Booking Holdings is currently generating about 0.33 per unit of risk. If you would invest 110.00 in Federal Home Loan on September 4, 2024 and sell it today you would earn a total of 188.00 from holding Federal Home Loan or generate 170.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Federal Home Loan vs. Booking Holdings
Performance |
Timeline |
Federal Home Loan |
Booking Holdings |
Federal Home and Booking Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal Home and Booking Holdings
The main advantage of trading using opposite Federal Home and Booking Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal Home position performs unexpectedly, Booking Holdings 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 Booking Holdings will offset losses from the drop in Booking Holdings' long position.Federal Home vs. Superior Plus Corp | Federal Home vs. NMI Holdings | Federal Home vs. Origin Agritech | Federal Home vs. SIVERS SEMICONDUCTORS AB |
Booking Holdings vs. Li Ning Company | Booking Holdings vs. SHIMANO INC UNSPADR10 | Booking Holdings vs. Superior Plus Corp | Booking Holdings vs. NMI Holdings |
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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