Correlation Between LEWAG HOLDING and SPARTAN STORES
Can any of the company-specific risk be diversified away by investing in both LEWAG HOLDING and SPARTAN STORES 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 LEWAG HOLDING and SPARTAN STORES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LEWAG HOLDING AG and SPARTAN STORES, you can compare the effects of market volatilities on LEWAG HOLDING and SPARTAN STORES 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 LEWAG HOLDING with a short position of SPARTAN STORES. Check out your portfolio center. Please also check ongoing floating volatility patterns of LEWAG HOLDING and SPARTAN STORES.
Diversification Opportunities for LEWAG HOLDING and SPARTAN STORES
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between LEWAG and SPARTAN is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding LEWAG HOLDING AG and SPARTAN STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPARTAN STORES and LEWAG HOLDING 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 LEWAG HOLDING AG are associated (or correlated) with SPARTAN STORES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPARTAN STORES has no effect on the direction of LEWAG HOLDING i.e., LEWAG HOLDING and SPARTAN STORES go up and down completely randomly.
Pair Corralation between LEWAG HOLDING and SPARTAN STORES
Assuming the 90 days trading horizon LEWAG HOLDING AG is expected to generate 4.62 times more return on investment than SPARTAN STORES. However, LEWAG HOLDING is 4.62 times more volatile than SPARTAN STORES. It trades about 0.23 of its potential returns per unit of risk. SPARTAN STORES is currently generating about 0.02 per unit of risk. If you would invest 1,050 in LEWAG HOLDING AG on November 3, 2024 and sell it today you would earn a total of 370.00 from holding LEWAG HOLDING AG or generate 35.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
LEWAG HOLDING AG vs. SPARTAN STORES
Performance |
| Timeline |
| LEWAG HOLDING AG |
| SPARTAN STORES |
LEWAG HOLDING and SPARTAN STORES Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with LEWAG HOLDING and SPARTAN STORES
The main advantage of trading using opposite LEWAG HOLDING and SPARTAN STORES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LEWAG HOLDING position performs unexpectedly, SPARTAN STORES 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 SPARTAN STORES will offset losses from the drop in SPARTAN STORES's long position.| LEWAG HOLDING vs. Zoom Video Communications | LEWAG HOLDING vs. AEGEAN AIRLINES | LEWAG HOLDING vs. Citic Telecom International | LEWAG HOLDING vs. Chunghwa Telecom Co |
| SPARTAN STORES vs. Apple Inc | SPARTAN STORES vs. Apple Inc | SPARTAN STORES vs. Apple Inc | SPARTAN STORES vs. Apple Inc |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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