Correlation Between Stag Industrial and Deutsche Telekom
Can any of the company-specific risk be diversified away by investing in both Stag Industrial and Deutsche Telekom 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 Deutsche Telekom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stag Industrial and Deutsche Telekom AG, you can compare the effects of market volatilities on Stag Industrial and Deutsche Telekom 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 Deutsche Telekom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stag Industrial and Deutsche Telekom.
Diversification Opportunities for Stag Industrial and Deutsche Telekom
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Stag and Deutsche is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Stag Industrial and Deutsche Telekom AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Telekom 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 Deutsche Telekom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Telekom has no effect on the direction of Stag Industrial i.e., Stag Industrial and Deutsche Telekom go up and down completely randomly.
Pair Corralation between Stag Industrial and Deutsche Telekom
Assuming the 90 days trading horizon Stag Industrial is expected to under-perform the Deutsche Telekom. In addition to that, Stag Industrial is 1.37 times more volatile than Deutsche Telekom AG. It trades about -0.02 of its total potential returns per unit of risk. Deutsche Telekom AG is currently generating about 0.25 per unit of volatility. If you would invest 2,362 in Deutsche Telekom AG on November 1, 2024 and sell it today you would earn a total of 832.00 from holding Deutsche Telekom AG or generate 35.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Stag Industrial vs. Deutsche Telekom AG
Performance |
| Timeline |
| Stag Industrial |
| Deutsche Telekom |
Stag Industrial and Deutsche Telekom Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Stag Industrial and Deutsche Telekom
The main advantage of trading using opposite Stag Industrial and Deutsche Telekom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stag Industrial position performs unexpectedly, Deutsche Telekom 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 Deutsche Telekom will offset losses from the drop in Deutsche Telekom's long position.| Stag Industrial vs. HOME DEPOT | Stag Industrial vs. PLAYMATES TOYS | Stag Industrial vs. Taylor Morrison Home | Stag Industrial vs. QINGCI GAMES INC |
| Deutsche Telekom vs. DALATA HOTEL | Deutsche Telekom vs. Carsales | Deutsche Telekom vs. Meli Hotels International | Deutsche Telekom vs. CARSALESCOM |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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