Correlation Between Sea and Douglas Emmett
Can any of the company-specific risk be diversified away by investing in both Sea and Douglas Emmett 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 Sea and Douglas Emmett into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea and Douglas Emmett, you can compare the effects of market volatilities on Sea and Douglas Emmett 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 Sea with a short position of Douglas Emmett. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and Douglas Emmett.
Diversification Opportunities for Sea and Douglas Emmett
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sea and Douglas is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Sea and Douglas Emmett in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Douglas Emmett and Sea 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 Sea are associated (or correlated) with Douglas Emmett. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Douglas Emmett has no effect on the direction of Sea i.e., Sea and Douglas Emmett go up and down completely randomly.
Pair Corralation between Sea and Douglas Emmett
Allowing for the 90-day total investment horizon Sea is expected to generate 0.7 times more return on investment than Douglas Emmett. However, Sea is 1.43 times less risky than Douglas Emmett. It trades about -0.1 of its potential returns per unit of risk. Douglas Emmett is currently generating about -0.25 per unit of risk. If you would invest 11,415 in Sea on October 10, 2024 and sell it today you would lose (480.00) from holding Sea or give up 4.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sea vs. Douglas Emmett
Performance |
Timeline |
Sea |
Douglas Emmett |
Sea and Douglas Emmett Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sea and Douglas Emmett
The main advantage of trading using opposite Sea and Douglas Emmett positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea position performs unexpectedly, Douglas Emmett 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 Douglas Emmett will offset losses from the drop in Douglas Emmett's long position.The idea behind Sea and Douglas Emmett pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Douglas Emmett vs. Brandywine Realty Trust | Douglas Emmett vs. Kilroy Realty Corp | Douglas Emmett vs. Piedmont Office Realty | Douglas Emmett vs. City Office |
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 Stocks Directory module to find actively traded stocks across global markets.
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