Correlation Between Short-intermediate and Large Cap
Can any of the company-specific risk be diversified away by investing in both Short-intermediate 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 Short-intermediate and Large Cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Short Intermediate Bond Fund and Large Cap Growth, you can compare the effects of market volatilities on Short-intermediate 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 Short-intermediate with a short position of Large Cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Short-intermediate and Large Cap.
Diversification Opportunities for Short-intermediate and Large Cap
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Short-intermediate and Large is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Short Intermediate Bond Fund and Large Cap Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Large Cap Growth and Short-intermediate 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 Short Intermediate Bond Fund 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 Growth has no effect on the direction of Short-intermediate i.e., Short-intermediate and Large Cap go up and down completely randomly.
Pair Corralation between Short-intermediate and Large Cap
Assuming the 90 days horizon Short-intermediate is expected to generate 4.38 times less return on investment than Large Cap. But when comparing it to its historical volatility, Short Intermediate Bond Fund is 6.68 times less risky than Large Cap. It trades about 0.18 of its potential returns per unit of risk. Large Cap Growth is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,725 in Large Cap Growth on May 12, 2025 and sell it today you would earn a total of 171.00 from holding Large Cap Growth or generate 6.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Short Intermediate Bond Fund vs. Large Cap Growth
Performance |
Timeline |
Short Intermediate Bond |
Large Cap Growth |
Short-intermediate and Large Cap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Short-intermediate and Large Cap
The main advantage of trading using opposite Short-intermediate and Large Cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Short-intermediate 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.Short-intermediate vs. Small Pany Fund | Short-intermediate vs. Balanced Fund Institutional | Short-intermediate vs. Income Fund Institutional | Short-intermediate vs. Credit Suisse Floating |
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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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