Correlation Between Upexi and MediaAlpha
Can any of the company-specific risk be diversified away by investing in both Upexi and MediaAlpha 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 Upexi and MediaAlpha into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Upexi Inc and MediaAlpha, you can compare the effects of market volatilities on Upexi and MediaAlpha 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 Upexi with a short position of MediaAlpha. Check out your portfolio center. Please also check ongoing floating volatility patterns of Upexi and MediaAlpha.
Diversification Opportunities for Upexi and MediaAlpha
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Upexi and MediaAlpha is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Upexi Inc and MediaAlpha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MediaAlpha and Upexi 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 Upexi Inc are associated (or correlated) with MediaAlpha. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MediaAlpha has no effect on the direction of Upexi i.e., Upexi and MediaAlpha go up and down completely randomly.
Pair Corralation between Upexi and MediaAlpha
Given the investment horizon of 90 days Upexi Inc is expected to generate 4.81 times more return on investment than MediaAlpha. However, Upexi is 4.81 times more volatile than MediaAlpha. It trades about 0.08 of its potential returns per unit of risk. MediaAlpha is currently generating about -0.07 per unit of risk. If you would invest 416.00 in Upexi Inc on August 31, 2024 and sell it today you would earn a total of 48.00 from holding Upexi Inc or generate 11.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Upexi Inc vs. MediaAlpha
Performance |
Timeline |
Upexi Inc |
MediaAlpha |
Upexi and MediaAlpha Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Upexi and MediaAlpha
The main advantage of trading using opposite Upexi and MediaAlpha positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Upexi position performs unexpectedly, MediaAlpha 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 MediaAlpha will offset losses from the drop in MediaAlpha's long position.The idea behind Upexi Inc and MediaAlpha pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.MediaAlpha vs. Asset Entities Class | MediaAlpha vs. Yelp Inc | MediaAlpha vs. BuzzFeed | MediaAlpha vs. Vivid Seats |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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