Correlation Between 360 Finance and 29670GAG7
Specify exactly 2 symbols:
By analyzing existing cross correlation between 360 Finance and WTRG 53 01 MAY 52, you can compare the effects of market volatilities on 360 Finance and 29670GAG7 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 360 Finance with a short position of 29670GAG7. Check out your portfolio center. Please also check ongoing floating volatility patterns of 360 Finance and 29670GAG7.
Diversification Opportunities for 360 Finance and 29670GAG7
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 360 and 29670GAG7 is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding 360 Finance and WTRG 53 01 MAY 52 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WTRG 53 01 and 360 Finance 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 360 Finance are associated (or correlated) with 29670GAG7. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WTRG 53 01 has no effect on the direction of 360 Finance i.e., 360 Finance and 29670GAG7 go up and down completely randomly.
Pair Corralation between 360 Finance and 29670GAG7
Given the investment horizon of 90 days 360 Finance is expected to generate 1.55 times more return on investment than 29670GAG7. However, 360 Finance is 1.55 times more volatile than WTRG 53 01 MAY 52. It trades about 0.14 of its potential returns per unit of risk. WTRG 53 01 MAY 52 is currently generating about -0.05 per unit of risk. If you would invest 3,644 in 360 Finance on October 5, 2024 and sell it today you would earn a total of 225.00 from holding 360 Finance or generate 6.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 85.0% |
Values | Daily Returns |
360 Finance vs. WTRG 53 01 MAY 52
Performance |
Timeline |
360 Finance |
WTRG 53 01 |
360 Finance and 29670GAG7 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 360 Finance and 29670GAG7
The main advantage of trading using opposite 360 Finance and 29670GAG7 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 360 Finance position performs unexpectedly, 29670GAG7 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 29670GAG7 will offset losses from the drop in 29670GAG7's long position.360 Finance vs. Asure Software | 360 Finance vs. Naked Wines plc | 360 Finance vs. Celsius Holdings | 360 Finance vs. Cadence Design Systems |
29670GAG7 vs. AEP TEX INC | 29670GAG7 vs. US BANK NATIONAL | 29670GAG7 vs. Salesforce | 29670GAG7 vs. MicroCloud Hologram |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Equity Valuation Check real value of public entities based on technical and fundamental data |