Correlation Between Inter Parfums and Summit Materials
Can any of the company-specific risk be diversified away by investing in both Inter Parfums and Summit Materials 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 Summit Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inter Parfums and Summit Materials, you can compare the effects of market volatilities on Inter Parfums and Summit Materials 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 Summit Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inter Parfums and Summit Materials.
Diversification Opportunities for Inter Parfums and Summit Materials
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Inter and Summit is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Inter Parfums and Summit Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Summit Materials 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 Summit Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Summit Materials has no effect on the direction of Inter Parfums i.e., Inter Parfums and Summit Materials go up and down completely randomly.
Pair Corralation between Inter Parfums and Summit Materials
Given the investment horizon of 90 days Inter Parfums is expected to under-perform the Summit Materials. In addition to that, Inter Parfums is 6.1 times more volatile than Summit Materials. It trades about -0.18 of its total potential returns per unit of risk. Summit Materials is currently generating about -0.13 per unit of volatility. If you would invest 5,092 in Summit Materials on October 3, 2024 and sell it today you would lose (32.00) from holding Summit Materials or give up 0.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Inter Parfums vs. Summit Materials
Performance |
Timeline |
Inter Parfums |
Summit Materials |
Inter Parfums and Summit Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inter Parfums and Summit Materials
The main advantage of trading using opposite Inter Parfums and Summit Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inter Parfums position performs unexpectedly, Summit Materials 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 Summit Materials will offset losses from the drop in Summit Materials' long position.Inter Parfums vs. J J Snack | Inter Parfums vs. John B Sanfilippo | Inter Parfums vs. Innospec | Inter Parfums vs. Independent Bank |
Summit Materials vs. Martin Marietta Materials | Summit Materials vs. Vulcan Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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