Correlation Between Made Tech and Tanger Factory
Can any of the company-specific risk be diversified away by investing in both Made Tech and Tanger Factory 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 Made Tech and Tanger Factory into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Made Tech Group and Tanger Factory Outlet, you can compare the effects of market volatilities on Made Tech and Tanger Factory 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 Made Tech with a short position of Tanger Factory. Check out your portfolio center. Please also check ongoing floating volatility patterns of Made Tech and Tanger Factory.
Diversification Opportunities for Made Tech and Tanger Factory
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Made and Tanger is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Made Tech Group and Tanger Factory Outlet in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tanger Factory Outlet and Made Tech 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 Made Tech Group are associated (or correlated) with Tanger Factory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tanger Factory Outlet has no effect on the direction of Made Tech i.e., Made Tech and Tanger Factory go up and down completely randomly.
Pair Corralation between Made Tech and Tanger Factory
Assuming the 90 days trading horizon Made Tech is expected to generate 1.8 times less return on investment than Tanger Factory. In addition to that, Made Tech is 2.66 times more volatile than Tanger Factory Outlet. It trades about 0.02 of its total potential returns per unit of risk. Tanger Factory Outlet is currently generating about 0.11 per unit of volatility. If you would invest 1,723 in Tanger Factory Outlet on September 5, 2024 and sell it today you would earn a total of 1,956 from holding Tanger Factory Outlet or generate 113.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 84.54% |
| Values | Daily Returns |
Made Tech Group vs. Tanger Factory Outlet
Performance |
| Timeline |
| Made Tech Group |
| Tanger Factory Outlet |
Made Tech and Tanger Factory Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Made Tech and Tanger Factory
The main advantage of trading using opposite Made Tech and Tanger Factory positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Made Tech position performs unexpectedly, Tanger Factory 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 Tanger Factory will offset losses from the drop in Tanger Factory's long position.| Made Tech vs. Spirent Communications plc | Made Tech vs. Jupiter Fund Management | Made Tech vs. United Internet AG | Made Tech vs. Batm Advanced Communications |
| Tanger Factory vs. Naked Wines plc | Tanger Factory vs. Made Tech Group | Tanger Factory vs. Uber Technologies | Tanger Factory vs. Datalogic |
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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