Correlation Between NOV and US Bancorp
Can any of the company-specific risk be diversified away by investing in both NOV 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 NOV and US Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NOV Inc and US Bancorp, you can compare the effects of market volatilities on NOV 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 NOV with a short position of US Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of NOV and US Bancorp.
Diversification Opportunities for NOV and US Bancorp
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NOV and USB is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding NOV Inc and US Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Bancorp and NOV 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 NOV Inc 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 NOV i.e., NOV and US Bancorp go up and down completely randomly.
Pair Corralation between NOV and US Bancorp
Assuming the 90 days trading horizon NOV Inc is expected to under-perform the US Bancorp. But the stock apears to be less risky and, when comparing its historical volatility, NOV Inc is 1.43 times less risky than US Bancorp. The stock trades about 0.0 of its potential returns per unit of risk. The US Bancorp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 78,160 in US Bancorp on September 23, 2024 and sell it today you would earn a total of 22,290 from holding US Bancorp or generate 28.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NOV Inc vs. US Bancorp
Performance |
Timeline |
NOV Inc |
US Bancorp |
NOV and US Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NOV and US Bancorp
The main advantage of trading using opposite NOV and US Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NOV 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 NOV Inc 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.US Bancorp vs. Netflix | US Bancorp vs. Honeywell International | US Bancorp vs. The Goodyear Tire | US Bancorp vs. The Walt Disney |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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