Correlation Between Inter Parfums and Steven Madden
Can any of the company-specific risk be diversified away by investing in both Inter Parfums and Steven Madden 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 Inter Parfums and Steven Madden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inter Parfums and Steven Madden, you can compare the effects of market volatilities on Inter Parfums and Steven Madden 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 Inter Parfums with a short position of Steven Madden. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inter Parfums and Steven Madden.
Diversification Opportunities for Inter Parfums and Steven Madden
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Inter and Steven is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Inter Parfums and Steven Madden in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steven Madden and Inter Parfums 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 Inter Parfums are associated (or correlated) with Steven Madden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steven Madden has no effect on the direction of Inter Parfums i.e., Inter Parfums and Steven Madden go up and down completely randomly.
Pair Corralation between Inter Parfums and Steven Madden
Given the investment horizon of 90 days Inter Parfums is expected to generate 1.06 times more return on investment than Steven Madden. However, Inter Parfums is 1.06 times more volatile than Steven Madden. It trades about 0.27 of its potential returns per unit of risk. Steven Madden is currently generating about -0.02 per unit of risk. If you would invest 12,441 in Inter Parfums on August 27, 2024 and sell it today you would earn a total of 1,398 from holding Inter Parfums or generate 11.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Inter Parfums vs. Steven Madden
Performance |
| Timeline |
| Inter Parfums |
| Steven Madden |
Inter Parfums and Steven Madden Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Inter Parfums and Steven Madden
The main advantage of trading using opposite Inter Parfums and Steven Madden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inter Parfums position performs unexpectedly, Steven Madden 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 Steven Madden will offset losses from the drop in Steven Madden's long position.| Inter Parfums vs. J J Snack | Inter Parfums vs. John B Sanfilippo | Inter Parfums vs. Innospec | Inter Parfums vs. Independent Bank |
| Steven Madden vs. Weyco Group | Steven Madden vs. Caleres | Steven Madden vs. Rocky Brands | Steven Madden vs. Designer Brands |
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 Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
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