Correlation Between Matthews International and NN
Can any of the company-specific risk be diversified away by investing in both Matthews International and NN 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 Matthews International and NN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Matthews International and NN Inc, you can compare the effects of market volatilities on Matthews International and NN 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 Matthews International with a short position of NN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matthews International and NN.
Diversification Opportunities for Matthews International and NN
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Matthews and NN is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Matthews International and NN Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NN Inc and Matthews International 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 Matthews International are associated (or correlated) with NN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NN Inc has no effect on the direction of Matthews International i.e., Matthews International and NN go up and down completely randomly.
Pair Corralation between Matthews International and NN
Given the investment horizon of 90 days Matthews International is expected to generate 2.42 times less return on investment than NN. But when comparing it to its historical volatility, Matthews International is 1.23 times less risky than NN. It trades about 0.04 of its potential returns per unit of risk. NN Inc is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 308.00 in NN Inc on August 31, 2024 and sell it today you would earn a total of 83.00 from holding NN Inc or generate 26.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Matthews International vs. NN Inc
Performance |
Timeline |
Matthews International |
NN Inc |
Matthews International and NN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Matthews International and NN
The main advantage of trading using opposite Matthews International and NN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matthews International position performs unexpectedly, NN 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 NN will offset losses from the drop in NN's long position.Matthews International vs. Steel Partners Holdings | Matthews International vs. Compass Diversified | Matthews International vs. Brookfield Business Partners | Matthews International vs. Tejon Ranch Co |
NN vs. Steel Partners Holdings | NN vs. Compass Diversified | NN vs. Brookfield Business Partners | NN vs. Matthews International |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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