Correlation Between US Bancorp and Netflix

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

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

Diversification Opportunities for US Bancorp and Netflix

0.86

Correlation Coefficient

US Bancorp  Netflix

Very poor diversification

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

Pair Corralation between US Bancorp and Netflix

Assuming the 90 days trading horizon US Bancorp is expected to generate 1.4 times less return on investment than Netflix. In addition to that, US Bancorp is 1.02 times more volatile than Netflix. It trades about 0.18 of its total potential returns per unit of risk. Netflix is currently generating about 0.25 per unit of volatility. If you would invest  1,349,000  in Netflix on September 17, 2024 and sell it today you would earn a total of  504,300  from holding Netflix or generate 37.38% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	98.39%
Values	Daily Returns

US Bancorp  vs.  Netflix

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.

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.

Pair Trading with US Bancorp and Netflix

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

The idea behind US Bancorp and Netflix 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.