Correlation Between Guggenheim High and Hotchkis Wiley
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Hotchkis Wiley 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 Hotchkis Wiley 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 Hotchkis Wiley Small, you can compare the effects of market volatilities on Guggenheim High and Hotchkis Wiley 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 Hotchkis Wiley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Hotchkis Wiley.
Diversification Opportunities for Guggenheim High and Hotchkis Wiley
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guggenheim and Hotchkis is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Hotchkis Wiley Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hotchkis Wiley Small 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 Hotchkis Wiley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hotchkis Wiley Small has no effect on the direction of Guggenheim High i.e., Guggenheim High and Hotchkis Wiley go up and down completely randomly.
Pair Corralation between Guggenheim High and Hotchkis Wiley
Assuming the 90 days horizon Guggenheim High is expected to generate 4.62 times less return on investment than Hotchkis Wiley. But when comparing it to its historical volatility, Guggenheim High Yield is 12.2 times less risky than Hotchkis Wiley. It trades about 0.11 of its potential returns per unit of risk. Hotchkis Wiley Small is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,276 in Hotchkis Wiley Small on September 13, 2024 and sell it today you would earn a total of 44.00 from holding Hotchkis Wiley Small or generate 3.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Hotchkis Wiley Small
Performance |
Timeline |
Guggenheim High Yield |
Hotchkis Wiley Small |
Guggenheim High and Hotchkis Wiley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Hotchkis Wiley
The main advantage of trading using opposite Guggenheim High and Hotchkis Wiley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Hotchkis Wiley 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 Hotchkis Wiley will offset losses from the drop in Hotchkis Wiley's long position.Guggenheim High vs. Alliancebernstein Global High | Guggenheim High vs. Ab Global Bond | Guggenheim High vs. Investec Global Franchise | Guggenheim High vs. Barings Global Floating |
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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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