Correlation Between Snap and Deutsche Wohnen
Can any of the company-specific risk be diversified away by investing in both Snap and Deutsche Wohnen 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 Snap and Deutsche Wohnen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and Deutsche Wohnen SE, you can compare the effects of market volatilities on Snap and Deutsche Wohnen 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 Snap with a short position of Deutsche Wohnen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and Deutsche Wohnen.
Diversification Opportunities for Snap and Deutsche Wohnen
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Snap and Deutsche is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and Deutsche Wohnen SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Wohnen SE and Snap 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 Snap Inc are associated (or correlated) with Deutsche Wohnen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Wohnen SE has no effect on the direction of Snap i.e., Snap and Deutsche Wohnen go up and down completely randomly.
Pair Corralation between Snap and Deutsche Wohnen
Given the investment horizon of 90 days Snap Inc is expected to under-perform the Deutsche Wohnen. In addition to that, Snap is 1.81 times more volatile than Deutsche Wohnen SE. It trades about -0.03 of its total potential returns per unit of risk. Deutsche Wohnen SE is currently generating about 0.15 per unit of volatility. If you would invest 2,335 in Deutsche Wohnen SE on September 1, 2024 and sell it today you would earn a total of 130.00 from holding Deutsche Wohnen SE or generate 5.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 91.3% |
| Values | Daily Returns |
Snap Inc vs. Deutsche Wohnen SE
Performance |
| Timeline |
| Snap Inc |
| Deutsche Wohnen SE |
Snap and Deutsche Wohnen Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and Deutsche Wohnen
The main advantage of trading using opposite Snap and Deutsche Wohnen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, Deutsche Wohnen 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 Wohnen will offset losses from the drop in Deutsche Wohnen's long position.The idea behind Snap Inc and Deutsche Wohnen SE pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Deutsche Wohnen vs. Sun Hung Kai | Deutsche Wohnen vs. China Overseas Land | Deutsche Wohnen vs. Longfor Group Holdings | Deutsche Wohnen vs. Mitsui Fudosan Co |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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