Correlation Between NETGEAR and Regeneron Pharmaceuticals
Can any of the company-specific risk be diversified away by investing in both NETGEAR 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 NETGEAR and Regeneron Pharmaceuticals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NETGEAR and Regeneron Pharmaceuticals, you can compare the effects of market volatilities on NETGEAR 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 NETGEAR with a short position of Regeneron Pharmaceuticals. Check out your portfolio center. Please also check ongoing floating volatility patterns of NETGEAR and Regeneron Pharmaceuticals.
Diversification Opportunities for NETGEAR and Regeneron Pharmaceuticals
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NETGEAR and Regeneron is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding NETGEAR and Regeneron Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regeneron Pharmaceuticals and NETGEAR 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 NETGEAR 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 NETGEAR i.e., NETGEAR and Regeneron Pharmaceuticals go up and down completely randomly.
Pair Corralation between NETGEAR and Regeneron Pharmaceuticals
Given the investment horizon of 90 days NETGEAR is expected to generate 2.1 times more return on investment than Regeneron Pharmaceuticals. However, NETGEAR is 2.1 times more volatile than Regeneron Pharmaceuticals. It trades about 0.03 of its potential returns per unit of risk. Regeneron Pharmaceuticals is currently generating about 0.0 per unit of risk. If you would invest 1,994 in NETGEAR on October 15, 2024 and sell it today you would earn a total of 634.00 from holding NETGEAR or generate 31.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NETGEAR vs. Regeneron Pharmaceuticals
Performance |
Timeline |
NETGEAR |
Regeneron Pharmaceuticals |
NETGEAR and Regeneron Pharmaceuticals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NETGEAR and Regeneron Pharmaceuticals
The main advantage of trading using opposite NETGEAR and Regeneron Pharmaceuticals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NETGEAR 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.NETGEAR vs. KVH Industries | NETGEAR vs. Ituran Location and | NETGEAR vs. Aviat Networks | NETGEAR vs. Mynaric AG ADR |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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