Correlation Between London City and Dow Jones
Can any of the company-specific risk be diversified away by investing in both London City and Dow Jones 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 London City and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between London City Equities and Dow Jones Industrial, you can compare the effects of market volatilities on London City and Dow Jones 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 London City with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of London City and Dow Jones.
Diversification Opportunities for London City and Dow Jones
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between London and Dow is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding London City Equities and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and London City 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 London City Equities are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of London City i.e., London City and Dow Jones go up and down completely randomly.
Pair Corralation between London City and Dow Jones
Assuming the 90 days trading horizon London City Equities is expected to generate 0.88 times more return on investment than Dow Jones. However, London City Equities is 1.14 times less risky than Dow Jones. It trades about 0.35 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of risk. If you would invest 71.00 in London City Equities on September 29, 2024 and sell it today you would earn a total of 12.00 from holding London City Equities or generate 16.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
London City Equities vs. Dow Jones Industrial
Performance |
Timeline |
London City and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
London City Equities
Pair trading matchups for London City
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with London City and Dow Jones
The main advantage of trading using opposite London City and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if London City position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.London City vs. Aneka Tambang Tbk | London City vs. BHP Group Limited | London City vs. Commonwealth Bank of | London City vs. Commonwealth Bank of |
Dow Jones vs. Eldorado Gold Corp | Dow Jones vs. Flexible Solutions International | Dow Jones vs. Olympic Steel | Dow Jones vs. Valhi Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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