Correlation Between Netflix and US Bancorp

Can any of the company-specific risk be diversified away by investing in both Netflix and US Bancorp 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 US Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Netflix and US Bancorp, you can compare the effects of market volatilities on Netflix and US Bancorp 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 US Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netflix and US Bancorp.

Diversification Opportunities for Netflix and US Bancorp

0.86

Correlation Coefficient

Netflix  US Bancorp

Very poor diversification

The 3 months correlation between Netflix and USB is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Netflix and US Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Bancorp 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 US Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US Bancorp has no effect on the direction of Netflix i.e., Netflix and US Bancorp go up and down completely randomly.

Pair Corralation between Netflix and US Bancorp

Assuming the 90 days trading horizon Netflix is expected to generate 2.32 times more return on investment than US Bancorp. However, Netflix is 2.32 times more volatile than US Bancorp. It trades about 0.17 of its potential returns per unit of risk. US Bancorp is currently generating about 0.24 per unit of risk. If you would invest  1,750,000  in Netflix on September 17, 2024 and sell it today you would earn a total of  103,300  from holding Netflix or generate 5.9% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	94.74%
Values	Daily Returns

Netflix  vs.  US Bancorp

Netflix

Risk-Adjusted Performance

19 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Netflix are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Netflix showed solid returns over the last few months and may actually be approaching a breakup point.

US Bancorp

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in US Bancorp are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak fundamental drivers, US Bancorp showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Netflix and US Bancorp

The main advantage of trading using opposite Netflix and US Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netflix position performs unexpectedly, US Bancorp 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 US Bancorp will offset losses from the drop in US Bancorp's long position.

The idea behind Netflix and US Bancorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.