Correlation Between Scandinavian Tobacco and NETGEAR
Can any of the company-specific risk be diversified away by investing in both Scandinavian Tobacco and NETGEAR 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 Scandinavian Tobacco and NETGEAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scandinavian Tobacco Group and NETGEAR, you can compare the effects of market volatilities on Scandinavian Tobacco and NETGEAR 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 Scandinavian Tobacco with a short position of NETGEAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scandinavian Tobacco and NETGEAR.
Diversification Opportunities for Scandinavian Tobacco and NETGEAR
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Scandinavian and NETGEAR is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding Scandinavian Tobacco Group and NETGEAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NETGEAR and Scandinavian Tobacco 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 Scandinavian Tobacco Group are associated (or correlated) with NETGEAR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NETGEAR has no effect on the direction of Scandinavian Tobacco i.e., Scandinavian Tobacco and NETGEAR go up and down completely randomly.
Pair Corralation between Scandinavian Tobacco and NETGEAR
Assuming the 90 days horizon Scandinavian Tobacco Group is expected to under-perform the NETGEAR. But the pink sheet apears to be less risky and, when comparing its historical volatility, Scandinavian Tobacco Group is 3.61 times less risky than NETGEAR. The pink sheet trades about -0.22 of its potential returns per unit of risk. The NETGEAR is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,508 in NETGEAR on October 11, 2024 and sell it today you would earn a total of 187.00 from holding NETGEAR or generate 7.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Scandinavian Tobacco Group vs. NETGEAR
Performance |
Timeline |
Scandinavian Tobacco |
NETGEAR |
Scandinavian Tobacco and NETGEAR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scandinavian Tobacco and NETGEAR
The main advantage of trading using opposite Scandinavian Tobacco and NETGEAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scandinavian Tobacco position performs unexpectedly, NETGEAR 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 NETGEAR will offset losses from the drop in NETGEAR's long position.Scandinavian Tobacco vs. Pyxus International | Scandinavian Tobacco vs. Japan Tobacco ADR | Scandinavian Tobacco vs. Greenlane Holdings |
NETGEAR vs. KVH Industries | NETGEAR vs. Ituran Location and | NETGEAR vs. Aviat Networks | NETGEAR vs. Mynaric AG ADR |
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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