Correlation Between Wendys and Regeneron Pharmaceuticals
Can any of the company-specific risk be diversified away by investing in both Wendys and Regeneron Pharmaceuticals 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 Wendys and Regeneron Pharmaceuticals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Wendys Co and Regeneron Pharmaceuticals, you can compare the effects of market volatilities on Wendys and Regeneron Pharmaceuticals 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 Wendys with a short position of Regeneron Pharmaceuticals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wendys and Regeneron Pharmaceuticals.
Diversification Opportunities for Wendys and Regeneron Pharmaceuticals
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wendys and Regeneron is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding The Wendys Co and Regeneron Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regeneron Pharmaceuticals and Wendys 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 The Wendys Co are associated (or correlated) with Regeneron Pharmaceuticals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regeneron Pharmaceuticals has no effect on the direction of Wendys i.e., Wendys and Regeneron Pharmaceuticals go up and down completely randomly.
Pair Corralation between Wendys and Regeneron Pharmaceuticals
Considering the 90-day investment horizon The Wendys Co is expected to generate 0.91 times more return on investment than Regeneron Pharmaceuticals. However, The Wendys Co is 1.1 times less risky than Regeneron Pharmaceuticals. It trades about -0.23 of its potential returns per unit of risk. Regeneron Pharmaceuticals is currently generating about -0.32 per unit of risk. If you would invest 1,914 in The Wendys Co on October 13, 2024 and sell it today you would lose (420.00) from holding The Wendys Co or give up 21.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Wendys Co vs. Regeneron Pharmaceuticals
Performance |
Timeline |
The Wendys |
Regeneron Pharmaceuticals |
Wendys and Regeneron Pharmaceuticals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wendys and Regeneron Pharmaceuticals
The main advantage of trading using opposite Wendys and Regeneron Pharmaceuticals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wendys position performs unexpectedly, Regeneron Pharmaceuticals 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 Regeneron Pharmaceuticals will offset losses from the drop in Regeneron Pharmaceuticals' long position.Wendys vs. Yum Brands | Wendys vs. Dominos Pizza Common | Wendys vs. Darden Restaurants | Wendys vs. Papa Johns International |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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