Correlation Between Oracle and Shenzhen New
Specify exactly 2 symbols:
By analyzing existing cross correlation between Oracle and Shenzhen New Nanshan, you can compare the effects of market volatilities on Oracle and Shenzhen New 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 Oracle with a short position of Shenzhen New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle and Shenzhen New.
Diversification Opportunities for Oracle and Shenzhen New
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oracle and Shenzhen is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and Shenzhen New Nanshan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen New Nanshan and Oracle 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 Oracle are associated (or correlated) with Shenzhen New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen New Nanshan has no effect on the direction of Oracle i.e., Oracle and Shenzhen New go up and down completely randomly.
Pair Corralation between Oracle and Shenzhen New
Given the investment horizon of 90 days Oracle is expected to generate 1.5 times less return on investment than Shenzhen New. But when comparing it to its historical volatility, Oracle is 1.45 times less risky than Shenzhen New. It trades about 0.2 of its potential returns per unit of risk. Shenzhen New Nanshan is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 194.00 in Shenzhen New Nanshan on September 4, 2024 and sell it today you would earn a total of 80.00 from holding Shenzhen New Nanshan or generate 41.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 92.06% |
Values | Daily Returns |
Oracle vs. Shenzhen New Nanshan
Performance |
Timeline |
Oracle |
Shenzhen New Nanshan |
Oracle and Shenzhen New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oracle and Shenzhen New
The main advantage of trading using opposite Oracle and Shenzhen New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, Shenzhen New 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 Shenzhen New will offset losses from the drop in Shenzhen New's long position.Oracle vs. Palo Alto Networks | Oracle vs. Crowdstrike Holdings | Oracle vs. Microsoft | Oracle vs. Block Inc |
Shenzhen New vs. Industrial and Commercial | Shenzhen New vs. Kweichow Moutai Co | Shenzhen New vs. Agricultural Bank of | Shenzhen New vs. China Mobile Limited |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |