Correlation Between Dow Jones and Bank of Commerce

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

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

Diversification Opportunities for Dow Jones and Bank of Commerce

-0.51

Correlation Coefficient

Dow Jones  Bank of Commerce

Excellent diversification

The 3 months correlation between Dow and Bank is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bank of Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Commerce and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Bank of Commerce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Commerce has no effect on the direction of Dow Jones i.e., Dow Jones and Bank of Commerce go up and down completely randomly.

Pair Corralation between Dow Jones and Bank of Commerce

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.41 times more return on investment than Bank of Commerce. However, Dow Jones Industrial is 2.42 times less risky than Bank of Commerce. It trades about 0.05 of its potential returns per unit of risk. Bank of Commerce is currently generating about -0.2 per unit of risk. If you would invest  4,231,300  in Dow Jones Industrial on September 27, 2024 and sell it today you would earn a total of  101,280  from holding Dow Jones Industrial or generate 2.39% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	93.75%
Values	Daily Returns

Dow Jones Industrial  vs.  Bank of Commerce

Pair Trading with Dow Jones and Bank of Commerce

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

The idea behind Dow Jones Industrial and Bank of Commerce 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.