Correlation Between Boston Properties and Weibo Corp
Can any of the company-specific risk be diversified away by investing in both Boston Properties and Weibo Corp 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 Boston Properties and Weibo Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boston Properties and Weibo Corp, you can compare the effects of market volatilities on Boston Properties and Weibo Corp 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 Boston Properties with a short position of Weibo Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Properties and Weibo Corp.
Diversification Opportunities for Boston Properties and Weibo Corp
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Boston and Weibo is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Boston Properties and Weibo Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weibo Corp and Boston Properties 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 Boston Properties are associated (or correlated) with Weibo Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weibo Corp has no effect on the direction of Boston Properties i.e., Boston Properties and Weibo Corp go up and down completely randomly.
Pair Corralation between Boston Properties and Weibo Corp
Considering the 90-day investment horizon Boston Properties is expected to under-perform the Weibo Corp. But the stock apears to be less risky and, when comparing its historical volatility, Boston Properties is 1.36 times less risky than Weibo Corp. The stock trades about -0.13 of its potential returns per unit of risk. The Weibo Corp is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 918.00 in Weibo Corp on September 21, 2024 and sell it today you would earn a total of 58.00 from holding Weibo Corp or generate 6.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Boston Properties vs. Weibo Corp
Performance |
Timeline |
Boston Properties |
Weibo Corp |
Boston Properties and Weibo Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Properties and Weibo Corp
The main advantage of trading using opposite Boston Properties and Weibo Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Properties position performs unexpectedly, Weibo Corp 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 Weibo Corp will offset losses from the drop in Weibo Corp's long position.Boston Properties vs. SL Green Realty | Boston Properties vs. Douglas Emmett | Boston Properties vs. Kilroy Realty Corp | Boston Properties vs. Alexandria Real Estate |
Weibo Corp vs. Twilio Inc | Weibo Corp vs. Snap Inc | Weibo Corp vs. Baidu Inc | Weibo Corp vs. Tencent Holdings Ltd |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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