Correlation Between INVITATION HOMES and CN DATANG
Can any of the company-specific risk be diversified away by investing in both INVITATION HOMES and CN DATANG 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 INVITATION HOMES and CN DATANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INVITATION HOMES DL and CN DATANG C, you can compare the effects of market volatilities on INVITATION HOMES and CN DATANG 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 INVITATION HOMES with a short position of CN DATANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of INVITATION HOMES and CN DATANG.
Diversification Opportunities for INVITATION HOMES and CN DATANG
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between INVITATION and DT7 is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding INVITATION HOMES DL and CN DATANG C in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CN DATANG C and INVITATION HOMES 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 INVITATION HOMES DL are associated (or correlated) with CN DATANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CN DATANG C has no effect on the direction of INVITATION HOMES i.e., INVITATION HOMES and CN DATANG go up and down completely randomly.
Pair Corralation between INVITATION HOMES and CN DATANG
Assuming the 90 days horizon INVITATION HOMES is expected to generate 4.94 times less return on investment than CN DATANG. But when comparing it to its historical volatility, INVITATION HOMES DL is 2.48 times less risky than CN DATANG. It trades about 0.02 of its potential returns per unit of risk. CN DATANG C is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 24.00 in CN DATANG C on December 21, 2024 and sell it today you would earn a total of 1.00 from holding CN DATANG C or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
INVITATION HOMES DL vs. CN DATANG C
Performance |
Timeline |
INVITATION HOMES |
CN DATANG C |
INVITATION HOMES and CN DATANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INVITATION HOMES and CN DATANG
The main advantage of trading using opposite INVITATION HOMES and CN DATANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INVITATION HOMES position performs unexpectedly, CN DATANG 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 CN DATANG will offset losses from the drop in CN DATANG's long position.INVITATION HOMES vs. Nordic Semiconductor ASA | INVITATION HOMES vs. SBI Insurance Group | INVITATION HOMES vs. PANIN INSURANCE | INVITATION HOMES vs. Tower Semiconductor |
CN DATANG vs. HF SINCLAIR P | CN DATANG vs. RYANAIR HLDGS ADR | CN DATANG vs. MOLSON RS BEVERAGE | CN DATANG vs. Monster Beverage Corp |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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