Correlation Between Netflix and AeroSpace Technology
Can any of the company-specific risk be diversified away by investing in both Netflix and AeroSpace Technology 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 Netflix and AeroSpace Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netflix and AeroSpace Technology of, you can compare the effects of market volatilities on Netflix and AeroSpace Technology 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 Netflix with a short position of AeroSpace Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netflix and AeroSpace Technology.
Diversification Opportunities for Netflix and AeroSpace Technology
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Netflix and AeroSpace is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Netflix and AeroSpace Technology of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AeroSpace Technology and Netflix 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 Netflix are associated (or correlated) with AeroSpace Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AeroSpace Technology has no effect on the direction of Netflix i.e., Netflix and AeroSpace Technology go up and down completely randomly.
Pair Corralation between Netflix and AeroSpace Technology
Given the investment horizon of 90 days Netflix is expected to generate 1.06 times more return on investment than AeroSpace Technology. However, Netflix is 1.06 times more volatile than AeroSpace Technology of. It trades about 0.27 of its potential returns per unit of risk. AeroSpace Technology of is currently generating about -0.11 per unit of risk. If you would invest 59,855 in Netflix on September 4, 2024 and sell it today you would earn a total of 29,919 from holding Netflix or generate 49.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 94.12% |
| Values | Daily Returns |
Netflix vs. AeroSpace Technology of
Performance |
| Timeline |
| Netflix |
| AeroSpace Technology |
Netflix and AeroSpace Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Netflix and AeroSpace Technology
The main advantage of trading using opposite Netflix and AeroSpace Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netflix position performs unexpectedly, AeroSpace Technology 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 AeroSpace Technology will offset losses from the drop in AeroSpace Technology's long position.| Netflix vs. Paramount Global Class | Netflix vs. Roku Inc | Netflix vs. Warner Bros Discovery | Netflix vs. AMC Entertainment Holdings |
| AeroSpace Technology vs. LG Display | AeroSpace Technology vs. Hyundai Motor | AeroSpace Technology vs. Hyundai Motor Co | AeroSpace Technology vs. Hyundai Motor Co |
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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