Correlation Between Financial Industries and Equity Income
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Equity Income 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 Financial Industries and Equity Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Equity Income Fund, you can compare the effects of market volatilities on Financial Industries and Equity Income 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 Financial Industries with a short position of Equity Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Equity Income.
Diversification Opportunities for Financial Industries and Equity Income
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and Equity is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Equity Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equity Income and Financial Industries 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 Financial Industries Fund are associated (or correlated) with Equity Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equity Income has no effect on the direction of Financial Industries i.e., Financial Industries and Equity Income go up and down completely randomly.
Pair Corralation between Financial Industries and Equity Income
Assuming the 90 days horizon Financial Industries is expected to generate 3.91 times less return on investment than Equity Income. In addition to that, Financial Industries is 1.52 times more volatile than Equity Income Fund. It trades about 0.04 of its total potential returns per unit of risk. Equity Income Fund is currently generating about 0.22 per unit of volatility. If you would invest 851.00 in Equity Income Fund on May 25, 2025 and sell it today you would earn a total of 63.00 from holding Equity Income Fund or generate 7.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Equity Income Fund
Performance |
Timeline |
Financial Industries |
Equity Income |
Financial Industries and Equity Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Equity Income
The main advantage of trading using opposite Financial Industries and Equity Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Equity Income 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 Equity Income will offset losses from the drop in Equity Income's long position.Financial Industries vs. Global Gold Fund | Financial Industries vs. Precious Metals And | Financial Industries vs. World Precious Minerals | Financial Industries vs. First Eagle Gold |
Equity Income vs. Vanguard Financials Index | Equity Income vs. Financial Industries Fund | Equity Income vs. Prudential Financial Services | Equity Income vs. Putnam Global Financials |
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |