Correlation Between New Oriental and Motorola Solutions
Can any of the company-specific risk be diversified away by investing in both New Oriental and Motorola Solutions 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 New Oriental and Motorola Solutions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Oriental Education and Motorola Solutions, you can compare the effects of market volatilities on New Oriental and Motorola Solutions 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 New Oriental with a short position of Motorola Solutions. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Oriental and Motorola Solutions.
Diversification Opportunities for New Oriental and Motorola Solutions
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between New and Motorola is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding New Oriental Education and Motorola Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Motorola Solutions and New Oriental 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 New Oriental Education are associated (or correlated) with Motorola Solutions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Motorola Solutions has no effect on the direction of New Oriental i.e., New Oriental and Motorola Solutions go up and down completely randomly.
Pair Corralation between New Oriental and Motorola Solutions
Assuming the 90 days trading horizon New Oriental is expected to generate 1.09 times less return on investment than Motorola Solutions. In addition to that, New Oriental is 1.82 times more volatile than Motorola Solutions. It trades about 0.07 of its total potential returns per unit of risk. Motorola Solutions is currently generating about 0.14 per unit of volatility. If you would invest 60,908 in Motorola Solutions on September 16, 2024 and sell it today you would earn a total of 10,000 from holding Motorola Solutions or generate 16.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.31% |
Values | Daily Returns |
New Oriental Education vs. Motorola Solutions
Performance |
Timeline |
New Oriental Education |
Motorola Solutions |
New Oriental and Motorola Solutions Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Oriental and Motorola Solutions
The main advantage of trading using opposite New Oriental and Motorola Solutions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Oriental position performs unexpectedly, Motorola Solutions 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 Motorola Solutions will offset losses from the drop in Motorola Solutions' long position.New Oriental vs. G2D Investments | New Oriental vs. Paycom Software | New Oriental vs. Nordon Indstrias Metalrgicas | New Oriental vs. Warner Music Group |
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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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