Correlation Between Gmo High and Ppm High
Can any of the company-specific risk be diversified away by investing in both Gmo High and Ppm High 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 Gmo High and Ppm High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo High Yield and Ppm High Yield, you can compare the effects of market volatilities on Gmo High and Ppm High 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 Gmo High with a short position of Ppm High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Ppm High.
Diversification Opportunities for Gmo High and Ppm High
Very poor diversification
The 3 months correlation between Gmo and Ppm is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Ppm High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ppm High Yield and Gmo High 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 Gmo High Yield are associated (or correlated) with Ppm High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ppm High Yield has no effect on the direction of Gmo High i.e., Gmo High and Ppm High go up and down completely randomly.
Pair Corralation between Gmo High and Ppm High
Assuming the 90 days horizon Gmo High Yield is expected to generate 1.14 times more return on investment than Ppm High. However, Gmo High is 1.14 times more volatile than Ppm High Yield. It trades about 0.21 of its potential returns per unit of risk. Ppm High Yield is currently generating about 0.16 per unit of risk. If you would invest 1,773 in Gmo High Yield on September 4, 2024 and sell it today you would earn a total of 39.00 from holding Gmo High Yield or generate 2.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo High Yield vs. Ppm High Yield
Performance |
Timeline |
Gmo High Yield |
Ppm High Yield |
Gmo High and Ppm High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo High and Ppm High
The main advantage of trading using opposite Gmo High and Ppm High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Ppm High 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 Ppm High will offset losses from the drop in Ppm High's long position.The idea behind Gmo High Yield and Ppm High Yield 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.Ppm High vs. Ppm Core Plus | Ppm High vs. Fidelity Advisor Industrials | Ppm High vs. Blackrock Resources Commodities | Ppm High vs. Small Cap Equity |
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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