Correlation Between Request Network and LOOM
Can any of the company-specific risk be diversified away by investing in both Request Network and LOOM 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 Request Network and LOOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Request Network and LOOM, you can compare the effects of market volatilities on Request Network and LOOM 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 Request Network with a short position of LOOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Request Network and LOOM.
Diversification Opportunities for Request Network and LOOM
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Request and LOOM is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Request Network and LOOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LOOM and Request Network 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 Request Network are associated (or correlated) with LOOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LOOM has no effect on the direction of Request Network i.e., Request Network and LOOM go up and down completely randomly.
Pair Corralation between Request Network and LOOM
Assuming the 90 days trading horizon Request Network is expected to generate 0.7 times more return on investment than LOOM. However, Request Network is 1.44 times less risky than LOOM. It trades about 0.03 of its potential returns per unit of risk. LOOM is currently generating about -0.11 per unit of risk. If you would invest 13.00 in Request Network on December 28, 2024 and sell it today you would earn a total of 0.00 from holding Request Network or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Request Network vs. LOOM
Performance |
Timeline |
Request Network |
LOOM |
Request Network and LOOM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Request Network and LOOM
The main advantage of trading using opposite Request Network and LOOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Request Network position performs unexpectedly, LOOM 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 LOOM will offset losses from the drop in LOOM's long position.Request Network vs. Staked Ether | Request Network vs. Phala Network | Request Network vs. EigenLayer | Request Network vs. EOSDAC |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Other Complementary Tools
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Transaction History View history of all your transactions and understand their impact on performance | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |