Correlation Between Dow Jones and Bogota Financial
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Bogota Financial 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 Bogota Financial 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 Bogota Financial Corp, you can compare the effects of market volatilities on Dow Jones and Bogota Financial 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 Bogota Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Bogota Financial.
Diversification Opportunities for Dow Jones and Bogota Financial
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dow and Bogota is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bogota Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bogota Financial Corp 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 Bogota Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bogota Financial Corp has no effect on the direction of Dow Jones i.e., Dow Jones and Bogota Financial go up and down completely randomly.
Pair Corralation between Dow Jones and Bogota Financial
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.13 times less return on investment than Bogota Financial. But when comparing it to its historical volatility, Dow Jones Industrial is 3.22 times less risky than Bogota Financial. It trades about 0.2 of its potential returns per unit of risk. Bogota Financial Corp is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 744.00 in Bogota Financial Corp on September 3, 2024 and sell it today you would earn a total of 69.00 from holding Bogota Financial Corp or generate 9.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Bogota Financial Corp
Performance |
Timeline |
Dow Jones and Bogota Financial Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Bogota Financial Corp
Pair trading matchups for Bogota Financial
Pair Trading with Dow Jones and Bogota Financial
The main advantage of trading using opposite Dow Jones and Bogota Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Bogota Financial 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 Bogota Financial will offset losses from the drop in Bogota Financial's long position.Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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