Correlation Between Real Estate and Smallcap Growth
Can any of the company-specific risk be diversified away by investing in both Real Estate and Smallcap Growth 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 Real Estate and Smallcap Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Real Estate Securities and Smallcap Growth Fund, you can compare the effects of market volatilities on Real Estate and Smallcap Growth 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 Real Estate with a short position of Smallcap Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Real Estate and Smallcap Growth.
Diversification Opportunities for Real Estate and Smallcap Growth
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Real and Smallcap is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Real Estate Securities and Smallcap Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smallcap Growth and Real Estate 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 Real Estate Securities are associated (or correlated) with Smallcap Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smallcap Growth has no effect on the direction of Real Estate i.e., Real Estate and Smallcap Growth go up and down completely randomly.
Pair Corralation between Real Estate and Smallcap Growth
Assuming the 90 days horizon Real Estate Securities is expected to under-perform the Smallcap Growth. But the mutual fund apears to be less risky and, when comparing its historical volatility, Real Estate Securities is 1.6 times less risky than Smallcap Growth. The mutual fund trades about -0.15 of its potential returns per unit of risk. The Smallcap Growth Fund is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 1,594 in Smallcap Growth Fund on September 24, 2024 and sell it today you would lose (96.00) from holding Smallcap Growth Fund or give up 6.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Real Estate Securities vs. Smallcap Growth Fund
Performance |
Timeline |
Real Estate Securities |
Smallcap Growth |
Real Estate and Smallcap Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Real Estate and Smallcap Growth
The main advantage of trading using opposite Real Estate and Smallcap Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Real Estate position performs unexpectedly, Smallcap Growth 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 Smallcap Growth will offset losses from the drop in Smallcap Growth's long position.Real Estate vs. Realty Income | Real Estate vs. Dynex Capital | Real Estate vs. First Industrial Realty | Real Estate vs. Healthcare Realty Trust |
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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 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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