Correlation Between Energy Services and Real Estate
Can any of the company-specific risk be diversified away by investing in both Energy Services and Real Estate 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 Energy Services and Real Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Services Fund and Real Estate Fund, you can compare the effects of market volatilities on Energy Services and Real Estate 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 Energy Services with a short position of Real Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Services and Real Estate.
Diversification Opportunities for Energy Services and Real Estate
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Energy and Real is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Energy Services Fund and Real Estate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Estate Fund and Energy 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 Energy Services Fund are associated (or correlated) with Real Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Estate Fund has no effect on the direction of Energy Services i.e., Energy Services and Real Estate go up and down completely randomly.
Pair Corralation between Energy Services and Real Estate
Assuming the 90 days horizon Energy Services is expected to generate 18.06 times less return on investment than Real Estate. In addition to that, Energy Services is 1.59 times more volatile than Real Estate Fund. It trades about 0.0 of its total potential returns per unit of risk. Real Estate Fund is currently generating about 0.03 per unit of volatility. If you would invest 3,425 in Real Estate Fund on September 20, 2024 and sell it today you would earn a total of 463.00 from holding Real Estate Fund or generate 13.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Energy Services Fund vs. Real Estate Fund
Performance |
Timeline |
Energy Services |
Real Estate Fund |
Energy Services and Real Estate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Services and Real Estate
The main advantage of trading using opposite Energy Services and Real Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Services position performs unexpectedly, Real Estate 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 Real Estate will offset losses from the drop in Real Estate's long position.Energy Services vs. Energy Fund Investor | Energy Services vs. Basic Materials Fund | Energy Services vs. Electronics Fund Investor | Energy Services vs. Health Care Fund |
Real Estate vs. Realty Income | Real Estate vs. Dynex Capital | Real Estate vs. First Industrial Realty | Real Estate vs. Healthcare Realty Trust |
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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