Correlation Between Harding Loevner and Harding Loevner
Can any of the company-specific risk be diversified away by investing in both Harding Loevner and Harding Loevner 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 Harding Loevner and Harding Loevner into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harding Loevner Funds and Harding Loevner Global, you can compare the effects of market volatilities on Harding Loevner and Harding Loevner 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 Harding Loevner with a short position of Harding Loevner. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harding Loevner and Harding Loevner.
Diversification Opportunities for Harding Loevner and Harding Loevner
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Harding and Harding is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Harding Loevner Funds and Harding Loevner Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harding Loevner Global and Harding Loevner 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 Harding Loevner Funds are associated (or correlated) with Harding Loevner. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harding Loevner Global has no effect on the direction of Harding Loevner i.e., Harding Loevner and Harding Loevner go up and down completely randomly.
Pair Corralation between Harding Loevner and Harding Loevner
Assuming the 90 days horizon Harding Loevner Funds is expected to under-perform the Harding Loevner. In addition to that, Harding Loevner is 1.12 times more volatile than Harding Loevner Global. It trades about -0.22 of its total potential returns per unit of risk. Harding Loevner Global is currently generating about 0.04 per unit of volatility. If you would invest 4,448 in Harding Loevner Global on August 30, 2024 and sell it today you would earn a total of 31.00 from holding Harding Loevner Global or generate 0.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Harding Loevner Funds vs. Harding Loevner Global
Performance |
| Timeline |
| Harding Loevner Funds |
| Harding Loevner Global |
Harding Loevner and Harding Loevner Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Harding Loevner and Harding Loevner
The main advantage of trading using opposite Harding Loevner and Harding Loevner positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harding Loevner position performs unexpectedly, Harding Loevner 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 Harding Loevner will offset losses from the drop in Harding Loevner's long position.| Harding Loevner vs. T Rowe Price | Harding Loevner vs. Dreyfusstandish Global Fixed | Harding Loevner vs. Victory High Yield | Harding Loevner vs. Vanguard High Yield Tax Exempt |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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