Correlation Between Lenovo Group and National Bank
Can any of the company-specific risk be diversified away by investing in both Lenovo Group and National Bank 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 Lenovo Group and National Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lenovo Group Limited and National Bank Holdings, you can compare the effects of market volatilities on Lenovo Group and National Bank 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 Lenovo Group with a short position of National Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lenovo Group and National Bank.
Diversification Opportunities for Lenovo Group and National Bank
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lenovo and National is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Lenovo Group Limited and National Bank Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Bank Holdings and Lenovo Group 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 Lenovo Group Limited are associated (or correlated) with National Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Bank Holdings has no effect on the direction of Lenovo Group i.e., Lenovo Group and National Bank go up and down completely randomly.
Pair Corralation between Lenovo Group and National Bank
Assuming the 90 days trading horizon Lenovo Group Limited is expected to generate 1.22 times more return on investment than National Bank. However, Lenovo Group is 1.22 times more volatile than National Bank Holdings. It trades about 0.05 of its potential returns per unit of risk. National Bank Holdings is currently generating about 0.05 per unit of risk. If you would invest 2,297 in Lenovo Group Limited on September 30, 2024 and sell it today you would earn a total of 283.00 from holding Lenovo Group Limited or generate 12.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lenovo Group Limited vs. National Bank Holdings
Performance |
Timeline |
Lenovo Group Limited |
National Bank Holdings |
Lenovo Group and National Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lenovo Group and National Bank
The main advantage of trading using opposite Lenovo Group and National Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lenovo Group position performs unexpectedly, National Bank 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 National Bank will offset losses from the drop in National Bank's long position.Lenovo Group vs. FAST RETAIL ADR | Lenovo Group vs. CANON MARKETING JP | Lenovo Group vs. QURATE RETAIL INC | Lenovo Group vs. TRADELINK ELECTRON |
National Bank vs. The PNC Financial | National Bank vs. Regions Financial | National Bank vs. Citizens Financial Group |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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