Correlation Between Netflix and Guggenheim Macro
Can any of the company-specific risk be diversified away by investing in both Netflix and Guggenheim Macro 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 Guggenheim Macro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netflix and Guggenheim Macro Opportunities, you can compare the effects of market volatilities on Netflix and Guggenheim Macro 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 Guggenheim Macro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netflix and Guggenheim Macro.
Diversification Opportunities for Netflix and Guggenheim Macro
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Netflix and Guggenheim is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Netflix and Guggenheim Macro Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Macro Opp 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 Guggenheim Macro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Macro Opp has no effect on the direction of Netflix i.e., Netflix and Guggenheim Macro go up and down completely randomly.
Pair Corralation between Netflix and Guggenheim Macro
Given the investment horizon of 90 days Netflix is expected to generate 19.47 times more return on investment than Guggenheim Macro. However, Netflix is 19.47 times more volatile than Guggenheim Macro Opportunities. It trades about 0.23 of its potential returns per unit of risk. Guggenheim Macro Opportunities is currently generating about 0.18 per unit of risk. If you would invest 67,968 in Netflix on September 4, 2024 and sell it today you would earn a total of 21,806 from holding Netflix or generate 32.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Netflix vs. Guggenheim Macro Opportunities
Performance |
Timeline |
Netflix |
Guggenheim Macro Opp |
Netflix and Guggenheim Macro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Netflix and Guggenheim Macro
The main advantage of trading using opposite Netflix and Guggenheim Macro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netflix position performs unexpectedly, Guggenheim Macro 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 Guggenheim Macro will offset losses from the drop in Guggenheim Macro's long position.Netflix vs. Paramount Global Class | Netflix vs. Roku Inc | Netflix vs. Warner Bros Discovery | Netflix vs. AMC Entertainment Holdings |
Guggenheim Macro vs. Performance Trust Strategic | Guggenheim Macro vs. Guggenheim Total Return | Guggenheim Macro vs. Guggenheim Limited Duration | Guggenheim Macro vs. Guggenheim Macro Opportunities |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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