Correlation Between General Dynamics and SK TELECOM
Can any of the company-specific risk be diversified away by investing in both General Dynamics and SK TELECOM 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 General Dynamics and SK TELECOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Dynamics and SK TELECOM TDADR, you can compare the effects of market volatilities on General Dynamics and SK TELECOM 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 General Dynamics with a short position of SK TELECOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Dynamics and SK TELECOM.
Diversification Opportunities for General Dynamics and SK TELECOM
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between General and KMBA is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding General Dynamics and SK TELECOM TDADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK TELECOM TDADR and General Dynamics 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 General Dynamics are associated (or correlated) with SK TELECOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK TELECOM TDADR has no effect on the direction of General Dynamics i.e., General Dynamics and SK TELECOM go up and down completely randomly.
Pair Corralation between General Dynamics and SK TELECOM
Assuming the 90 days horizon General Dynamics is expected to under-perform the SK TELECOM. But the stock apears to be less risky and, when comparing its historical volatility, General Dynamics is 1.63 times less risky than SK TELECOM. The stock trades about -0.04 of its potential returns per unit of risk. The SK TELECOM TDADR is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,920 in SK TELECOM TDADR on September 4, 2024 and sell it today you would earn a total of 340.00 from holding SK TELECOM TDADR or generate 17.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Dynamics vs. SK TELECOM TDADR
Performance |
| Timeline |
| General Dynamics |
| SK TELECOM TDADR |
General Dynamics and SK TELECOM Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with General Dynamics and SK TELECOM
The main advantage of trading using opposite General Dynamics and SK TELECOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Dynamics position performs unexpectedly, SK TELECOM 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 SK TELECOM will offset losses from the drop in SK TELECOM's long position.| General Dynamics vs. SK TELECOM TDADR | General Dynamics vs. InterContinental Hotels Group | General Dynamics vs. NH HOTEL GROUP | General Dynamics vs. Citic Telecom 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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