Correlation Between STAG Industrial, and SK Telecom
Can any of the company-specific risk be diversified away by investing in both STAG Industrial, 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 STAG Industrial, and SK Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STAG Industrial, and SK Telecom Co,, you can compare the effects of market volatilities on STAG Industrial, 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 STAG Industrial, with a short position of SK Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of STAG Industrial, and SK Telecom.
Diversification Opportunities for STAG Industrial, and SK Telecom
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between STAG and S1KM34 is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding STAG Industrial, and SK Telecom Co, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Telecom Co, and STAG Industrial, 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 STAG Industrial, 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 Co, has no effect on the direction of STAG Industrial, i.e., STAG Industrial, and SK Telecom go up and down completely randomly.
Pair Corralation between STAG Industrial, and SK Telecom
Assuming the 90 days trading horizon STAG Industrial, is expected to under-perform the SK Telecom. In addition to that, STAG Industrial, is 1.11 times more volatile than SK Telecom Co,. It trades about 0.0 of its total potential returns per unit of risk. SK Telecom Co, is currently generating about 0.04 per unit of volatility. If you would invest 3,171 in SK Telecom Co, on October 4, 2024 and sell it today you would earn a total of 99.00 from holding SK Telecom Co, or generate 3.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STAG Industrial, vs. SK Telecom Co,
Performance |
Timeline |
STAG Industrial, |
SK Telecom Co, |
STAG Industrial, and SK Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STAG Industrial, and SK Telecom
The main advantage of trading using opposite STAG Industrial, and SK Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STAG Industrial, 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.STAG Industrial, vs. GP Investments | STAG Industrial, vs. Patria Investments Limited | STAG Industrial, vs. United Natural Foods, | STAG Industrial, vs. Tyson Foods |
SK Telecom vs. Chunghwa Telecom Co, | SK Telecom vs. Unifique Telecomunicaes SA | SK Telecom vs. Clave Indices De | SK Telecom vs. Fica Empreendimentos Imobiliarios |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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