Correlation Between Guggenheim High and Western Asset
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Western Asset 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 Guggenheim High and Western Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Western Asset Inflation, you can compare the effects of market volatilities on Guggenheim High and Western Asset 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 Guggenheim High with a short position of Western Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Western Asset.
Diversification Opportunities for Guggenheim High and Western Asset
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Guggenheim and Western is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Western Asset Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Asset Inflation and Guggenheim 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 Guggenheim High Yield are associated (or correlated) with Western Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Asset Inflation has no effect on the direction of Guggenheim High i.e., Guggenheim High and Western Asset go up and down completely randomly.
Pair Corralation between Guggenheim High and Western Asset
Assuming the 90 days horizon Guggenheim High Yield is expected to generate 0.65 times more return on investment than Western Asset. However, Guggenheim High Yield is 1.54 times less risky than Western Asset. It trades about 0.14 of its potential returns per unit of risk. Western Asset Inflation is currently generating about 0.02 per unit of risk. If you would invest 677.00 in Guggenheim High Yield on September 26, 2024 and sell it today you would earn a total of 134.00 from holding Guggenheim High Yield or generate 19.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Western Asset Inflation
Performance |
Timeline |
Guggenheim High Yield |
Western Asset Inflation |
Guggenheim High and Western Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Western Asset
The main advantage of trading using opposite Guggenheim High and Western Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Western Asset 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 Western Asset will offset losses from the drop in Western Asset's long position.Guggenheim High vs. Valic Company I | Guggenheim High vs. Royce Opportunity Fund | Guggenheim High vs. Foundry Partners Fundamental | Guggenheim High vs. Mutual Of America |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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