Correlation Between Dow Jones and FVCBankcorp
Can any of the company-specific risk be diversified away by investing in both Dow Jones and FVCBankcorp 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 FVCBankcorp 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 FVCBankcorp, you can compare the effects of market volatilities on Dow Jones and FVCBankcorp 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 FVCBankcorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and FVCBankcorp.
Diversification Opportunities for Dow Jones and FVCBankcorp
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and FVCBankcorp is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and FVCBankcorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FVCBankcorp 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 FVCBankcorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FVCBankcorp has no effect on the direction of Dow Jones i.e., Dow Jones and FVCBankcorp go up and down completely randomly.
Pair Corralation between Dow Jones and FVCBankcorp
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.24 times less return on investment than FVCBankcorp. But when comparing it to its historical volatility, Dow Jones Industrial is 2.47 times less risky than FVCBankcorp. It trades about 0.29 of its potential returns per unit of risk. FVCBankcorp is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,300 in FVCBankcorp on August 31, 2024 and sell it today you would earn a total of 93.00 from holding FVCBankcorp or generate 7.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. FVCBankcorp
Performance |
| Timeline |
Dow Jones and FVCBankcorp Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
FVCBankcorp
Pair trading matchups for FVCBankcorp
Pair Trading with Dow Jones and FVCBankcorp
The main advantage of trading using opposite Dow Jones and FVCBankcorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, FVCBankcorp 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 FVCBankcorp will offset losses from the drop in FVCBankcorp's long position.| Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
| FVCBankcorp vs. KeyCorp | FVCBankcorp vs. Comerica | FVCBankcorp vs. First Horizon National | FVCBankcorp vs. Western Alliance Bancorporation |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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