Correlation Between Financial Services and Large Cap
Can any of the company-specific risk be diversified away by investing in both Financial Services and Large Cap 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 Services and Large Cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Services Portfolio and Large Cap Value, you can compare the effects of market volatilities on Financial Services and Large Cap 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 Services with a short position of Large Cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Services and Large Cap.
Diversification Opportunities for Financial Services and Large Cap
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Financial and Large is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Financial Services Portfolio and Large Cap Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Large Cap Value and Financial Services 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 Services Portfolio are associated (or correlated) with Large Cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Large Cap Value has no effect on the direction of Financial Services i.e., Financial Services and Large Cap go up and down completely randomly.
Pair Corralation between Financial Services and Large Cap
Assuming the 90 days horizon Financial Services Portfolio is expected to generate 1.06 times more return on investment than Large Cap. However, Financial Services is 1.06 times more volatile than Large Cap Value. It trades about 0.0 of its potential returns per unit of risk. Large Cap Value is currently generating about -0.02 per unit of risk. If you would invest 923.00 in Financial Services Portfolio on December 30, 2024 and sell it today you would lose (2.00) from holding Financial Services Portfolio or give up 0.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Services Portfolio vs. Large Cap Value
Performance |
Timeline |
Financial Services |
Large Cap Value |
Financial Services and Large Cap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Services and Large Cap
The main advantage of trading using opposite Financial Services and Large Cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Services position performs unexpectedly, Large Cap 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 Large Cap will offset losses from the drop in Large Cap's long position.Financial Services vs. Gmo High Yield | Financial Services vs. Vanguard Target Retirement | Financial Services vs. Metropolitan West High | Financial Services vs. Ab High Income |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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