Correlation Between Real Estate and Ssga International
Can any of the company-specific risk be diversified away by investing in both Real Estate and Ssga International 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 Ssga International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Real Estate Ultrasector and Ssga International Stock, you can compare the effects of market volatilities on Real Estate and Ssga International 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 Ssga International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Real Estate and Ssga International.
Diversification Opportunities for Real Estate and Ssga International
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Real and Ssga is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Real Estate Ultrasector and Ssga International Stock in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssga International Stock 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 Ultrasector are associated (or correlated) with Ssga International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssga International Stock has no effect on the direction of Real Estate i.e., Real Estate and Ssga International go up and down completely randomly.
Pair Corralation between Real Estate and Ssga International
Assuming the 90 days horizon Real Estate Ultrasector is expected to under-perform the Ssga International. In addition to that, Real Estate is 2.38 times more volatile than Ssga International Stock. It trades about -0.11 of its total potential returns per unit of risk. Ssga International Stock is currently generating about -0.15 per unit of volatility. If you would invest 1,207 in Ssga International Stock on September 27, 2024 and sell it today you would lose (80.00) from holding Ssga International Stock or give up 6.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Real Estate Ultrasector vs. Ssga International Stock
Performance |
Timeline |
Real Estate Ultrasector |
Ssga International Stock |
Real Estate and Ssga International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Real Estate and Ssga International
The main advantage of trading using opposite Real Estate and Ssga International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Real Estate position performs unexpectedly, Ssga International 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 Ssga International will offset losses from the drop in Ssga International's long position.Real Estate vs. Short Real Estate | Real Estate vs. Short Real Estate | Real Estate vs. Ultrashort Mid Cap Profund | Real Estate vs. Ultrashort Mid Cap Profund |
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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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