Correlation Between Redfin Corp and Generationome Properties
Can any of the company-specific risk be diversified away by investing in both Redfin Corp and Generationome Properties 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 Redfin Corp and Generationome Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Redfin Corp and Generationome Properties, you can compare the effects of market volatilities on Redfin Corp and Generationome Properties 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 Redfin Corp with a short position of Generationome Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Redfin Corp and Generationome Properties.
Diversification Opportunities for Redfin Corp and Generationome Properties
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Redfin and Generationome is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Redfin Corp and Generationome Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Generationome Properties and Redfin Corp 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 Redfin Corp are associated (or correlated) with Generationome Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Generationome Properties has no effect on the direction of Redfin Corp i.e., Redfin Corp and Generationome Properties go up and down completely randomly.
Pair Corralation between Redfin Corp and Generationome Properties
Given the investment horizon of 90 days Redfin Corp is expected to generate 2.27 times more return on investment than Generationome Properties. However, Redfin Corp is 2.27 times more volatile than Generationome Properties. It trades about 0.04 of its potential returns per unit of risk. Generationome Properties is currently generating about -0.16 per unit of risk. If you would invest 934.00 in Redfin Corp on August 30, 2024 and sell it today you would earn a total of 32.00 from holding Redfin Corp or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Redfin Corp vs. Generationome Properties
Performance |
Timeline |
Redfin Corp |
Generationome Properties |
Redfin Corp and Generationome Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Redfin Corp and Generationome Properties
The main advantage of trading using opposite Redfin Corp and Generationome Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Redfin Corp position performs unexpectedly, Generationome Properties 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 Generationome Properties will offset losses from the drop in Generationome Properties' long position.Redfin Corp vs. Offerpad Solutions | Redfin Corp vs. eXp World Holdings | Redfin Corp vs. Ohmyhome Limited Ordinary | Redfin Corp vs. Real Brokerage |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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