Correlation Between SPARTAN STORES and Deutsche Wohnen
Can any of the company-specific risk be diversified away by investing in both SPARTAN STORES 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 SPARTAN STORES and Deutsche Wohnen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPARTAN STORES and Deutsche Wohnen SE, you can compare the effects of market volatilities on SPARTAN STORES 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 SPARTAN STORES with a short position of Deutsche Wohnen. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPARTAN STORES and Deutsche Wohnen.
Diversification Opportunities for SPARTAN STORES and Deutsche Wohnen
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SPARTAN and Deutsche is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding SPARTAN STORES 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 SPARTAN STORES 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 SPARTAN STORES 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 SPARTAN STORES i.e., SPARTAN STORES and Deutsche Wohnen go up and down completely randomly.
Pair Corralation between SPARTAN STORES and Deutsche Wohnen
Assuming the 90 days trading horizon SPARTAN STORES is expected to generate 1.51 times more return on investment than Deutsche Wohnen. However, SPARTAN STORES is 1.51 times more volatile than Deutsche Wohnen SE. It trades about 0.01 of its potential returns per unit of risk. Deutsche Wohnen SE is currently generating about -0.13 per unit of risk. If you would invest 1,830 in SPARTAN STORES on December 22, 2024 and sell it today you would earn a total of 0.00 from holding SPARTAN STORES or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SPARTAN STORES vs. Deutsche Wohnen SE
Performance |
Timeline |
SPARTAN STORES |
Deutsche Wohnen SE |
SPARTAN STORES and Deutsche Wohnen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPARTAN STORES and Deutsche Wohnen
The main advantage of trading using opposite SPARTAN STORES and Deutsche Wohnen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPARTAN STORES 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.SPARTAN STORES vs. ANGLO ASIAN MINING | SPARTAN STORES vs. MAGNUM MINING EXP | SPARTAN STORES vs. Zijin Mining Group | SPARTAN STORES vs. GOLDQUEST MINING |
Deutsche Wohnen vs. CHEMICAL INDUSTRIES | Deutsche Wohnen vs. TIANDE CHEMICAL | Deutsche Wohnen vs. KINGBOARD CHEMICAL | Deutsche Wohnen vs. TITAN MACHINERY |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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