Correlation Between Netflix and Federated Pennsylvania
Can any of the company-specific risk be diversified away by investing in both Netflix and Federated Pennsylvania 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 Federated Pennsylvania into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netflix and Federated Pennsylvania Municipal, you can compare the effects of market volatilities on Netflix and Federated Pennsylvania 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 Federated Pennsylvania. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netflix and Federated Pennsylvania.
Diversification Opportunities for Netflix and Federated Pennsylvania
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Netflix and FEDERATED is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Netflix and Federated Pennsylvania Municip in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Pennsylvania 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 Federated Pennsylvania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Pennsylvania has no effect on the direction of Netflix i.e., Netflix and Federated Pennsylvania go up and down completely randomly.
Pair Corralation between Netflix and Federated Pennsylvania
Given the investment horizon of 90 days Netflix is expected to generate 5.04 times more return on investment than Federated Pennsylvania. However, Netflix is 5.04 times more volatile than Federated Pennsylvania Municipal. It trades about 0.55 of its potential returns per unit of risk. Federated Pennsylvania Municipal is currently generating about 0.17 per unit of risk. If you would invest 75,551 in Netflix on September 3, 2024 and sell it today you would earn a total of 13,130 from holding Netflix or generate 17.38% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Netflix vs. Federated Pennsylvania Municip
Performance |
| Timeline |
| Netflix |
| Federated Pennsylvania |
Netflix and Federated Pennsylvania Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Netflix and Federated Pennsylvania
The main advantage of trading using opposite Netflix and Federated Pennsylvania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netflix position performs unexpectedly, Federated Pennsylvania 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 Federated Pennsylvania will offset losses from the drop in Federated Pennsylvania's long position.| Netflix vs. Paramount Global Class | Netflix vs. Roku Inc | Netflix vs. Warner Bros Discovery | Netflix vs. AMC Entertainment Holdings |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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