Correlation Between Hotchkis Wiley and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Hotchkis Wiley and Loomis Sayles 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 Hotchkis Wiley and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hotchkis Wiley High and Loomis Sayles Global, you can compare the effects of market volatilities on Hotchkis Wiley and Loomis Sayles 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 Hotchkis Wiley with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hotchkis Wiley and Loomis Sayles.
Diversification Opportunities for Hotchkis Wiley and Loomis Sayles
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hotchkis and Loomis is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Hotchkis Wiley High and Loomis Sayles Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Global and Hotchkis Wiley 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 Hotchkis Wiley High are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Global has no effect on the direction of Hotchkis Wiley i.e., Hotchkis Wiley and Loomis Sayles go up and down completely randomly.
Pair Corralation between Hotchkis Wiley and Loomis Sayles
Assuming the 90 days horizon Hotchkis Wiley High is expected to generate 0.28 times more return on investment than Loomis Sayles. However, Hotchkis Wiley High is 3.57 times less risky than Loomis Sayles. It trades about 0.25 of its potential returns per unit of risk. Loomis Sayles Global is currently generating about 0.02 per unit of risk. If you would invest 1,053 in Hotchkis Wiley High on September 4, 2024 and sell it today you would earn a total of 7.00 from holding Hotchkis Wiley High or generate 0.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hotchkis Wiley High vs. Loomis Sayles Global
Performance |
Timeline |
Hotchkis Wiley High |
Loomis Sayles Global |
Hotchkis Wiley and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hotchkis Wiley and Loomis Sayles
The main advantage of trading using opposite Hotchkis Wiley and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hotchkis Wiley position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Hotchkis Wiley vs. Hw Opportunities Mp | Hotchkis Wiley vs. Hotchkis Wiley Value | Hotchkis Wiley vs. Hotchkis Wiley Value | Hotchkis Wiley vs. Hotchkis Wiley Value |
Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. T Rowe Price | Loomis Sayles vs. Westcore Plus Bond | Loomis Sayles vs. Aberdeen Global High |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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