Correlation Between Real Estate and Value Fund
Can any of the company-specific risk be diversified away by investing in both Real Estate and Value Fund 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 Value Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Real Estate Fund and Value Fund Investor, you can compare the effects of market volatilities on Real Estate and Value Fund 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 Value Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Real Estate and Value Fund.
Diversification Opportunities for Real Estate and Value Fund
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Real and Value is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Real Estate Fund and Value Fund Investor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Value Fund Investor 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 Fund are associated (or correlated) with Value Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Value Fund Investor has no effect on the direction of Real Estate i.e., Real Estate and Value Fund go up and down completely randomly.
Pair Corralation between Real Estate and Value Fund
Assuming the 90 days horizon Real Estate Fund is expected to generate 1.15 times more return on investment than Value Fund. However, Real Estate is 1.15 times more volatile than Value Fund Investor. It trades about 0.06 of its potential returns per unit of risk. Value Fund Investor is currently generating about 0.02 per unit of risk. If you would invest 2,231 in Real Estate Fund on October 21, 2024 and sell it today you would earn a total of 399.00 from holding Real Estate Fund or generate 17.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Real Estate Fund vs. Value Fund Investor
Performance |
| Timeline |
| Real Estate Fund |
| Value Fund Investor |
Real Estate and Value Fund Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Real Estate and Value Fund
The main advantage of trading using opposite Real Estate and Value Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Real Estate position performs unexpectedly, Value Fund 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 Value Fund will offset losses from the drop in Value Fund's long position.| Real Estate vs. Utilities Fund Investor | Real Estate vs. Emerging Markets Fund | Real Estate vs. Heritage Fund Investor | Real Estate vs. Value Fund Investor |
| Value Fund vs. International Growth Fund | Value Fund vs. Growth Fund Investor | Value Fund vs. Equity Income Fund | Value Fund vs. Ultra Fund Investor |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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