Correlation Between Cars and Nordic Semiconductor
Can any of the company-specific risk be diversified away by investing in both Cars and Nordic Semiconductor 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 Cars and Nordic Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cars Inc and Nordic Semiconductor ASA, you can compare the effects of market volatilities on Cars and Nordic Semiconductor 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 Cars with a short position of Nordic Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cars and Nordic Semiconductor.
Diversification Opportunities for Cars and Nordic Semiconductor
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cars and Nordic is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Cars Inc and Nordic Semiconductor ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nordic Semiconductor ASA and Cars 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 Cars Inc are associated (or correlated) with Nordic Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nordic Semiconductor ASA has no effect on the direction of Cars i.e., Cars and Nordic Semiconductor go up and down completely randomly.
Pair Corralation between Cars and Nordic Semiconductor
Assuming the 90 days horizon Cars Inc is expected to generate 0.73 times more return on investment than Nordic Semiconductor. However, Cars Inc is 1.37 times less risky than Nordic Semiconductor. It trades about 0.02 of its potential returns per unit of risk. Nordic Semiconductor ASA is currently generating about -0.01 per unit of risk. If you would invest 1,430 in Cars Inc on October 11, 2024 and sell it today you would earn a total of 220.00 from holding Cars Inc or generate 15.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cars Inc vs. Nordic Semiconductor ASA
Performance |
Timeline |
Cars Inc |
Nordic Semiconductor ASA |
Cars and Nordic Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cars and Nordic Semiconductor
The main advantage of trading using opposite Cars and Nordic Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cars position performs unexpectedly, Nordic Semiconductor 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 Nordic Semiconductor will offset losses from the drop in Nordic Semiconductor's long position.Cars vs. China BlueChemical | Cars vs. TIANDE CHEMICAL | Cars vs. INDO RAMA SYNTHETIC | Cars vs. Sekisui Chemical Co |
Nordic Semiconductor vs. HANOVER INSURANCE | Nordic Semiconductor vs. Ribbon Communications | Nordic Semiconductor vs. Reinsurance Group of | Nordic Semiconductor vs. Shenandoah Telecommunications |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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