Correlation Between Apple and Restaurant Brands
Can any of the company-specific risk be diversified away by investing in both Apple and Restaurant Brands 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 Apple and Restaurant Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc CDR and Restaurant Brands International, you can compare the effects of market volatilities on Apple and Restaurant Brands 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 Apple with a short position of Restaurant Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Restaurant Brands.
Diversification Opportunities for Apple and Restaurant Brands
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Apple and Restaurant is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc CDR and Restaurant Brands Internationa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Restaurant Brands and Apple 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 Apple Inc CDR are associated (or correlated) with Restaurant Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Restaurant Brands has no effect on the direction of Apple i.e., Apple and Restaurant Brands go up and down completely randomly.
Pair Corralation between Apple and Restaurant Brands
Assuming the 90 days trading horizon Apple Inc CDR is expected to generate 0.61 times more return on investment than Restaurant Brands. However, Apple Inc CDR is 1.64 times less risky than Restaurant Brands. It trades about 0.64 of its potential returns per unit of risk. Restaurant Brands International is currently generating about 0.1 per unit of risk. If you would invest 3,290 in Apple Inc CDR on September 12, 2024 and sell it today you would earn a total of 340.00 from holding Apple Inc CDR or generate 10.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Apple Inc CDR vs. Restaurant Brands Internationa
Performance |
| Timeline |
| Apple Inc CDR |
| Restaurant Brands |
Apple and Restaurant Brands Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Apple and Restaurant Brands
The main advantage of trading using opposite Apple and Restaurant Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, Restaurant Brands 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 Restaurant Brands will offset losses from the drop in Restaurant Brands' long position.| Apple vs. Doman Building Materials | Apple vs. Identillect Technologies Corp | Apple vs. NeXGold Mining Corp | Apple vs. Oculus VisionTech |
| Restaurant Brands vs. Apple Inc CDR | Restaurant Brands vs. NVIDIA CDR | Restaurant Brands vs. Microsoft Corp CDR | Restaurant Brands vs. Amazon CDR |
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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