Correlation Between United States and Xiaomi
Can any of the company-specific risk be diversified away by investing in both United States and Xiaomi 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 United States and Xiaomi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and Xiaomi, you can compare the effects of market volatilities on United States and Xiaomi 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 United States with a short position of Xiaomi. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and Xiaomi.
Diversification Opportunities for United States and Xiaomi
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between United and Xiaomi is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and Xiaomi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xiaomi and United States 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 United States Steel are associated (or correlated) with Xiaomi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xiaomi has no effect on the direction of United States i.e., United States and Xiaomi go up and down completely randomly.
Pair Corralation between United States and Xiaomi
Given the investment horizon of 90 days United States is expected to generate 2.37 times less return on investment than Xiaomi. But when comparing it to its historical volatility, United States Steel is 1.52 times less risky than Xiaomi. It trades about 0.16 of its potential returns per unit of risk. Xiaomi is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 8,100 in Xiaomi on December 21, 2024 and sell it today you would earn a total of 7,149 from holding Xiaomi or generate 88.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. Xiaomi
Performance |
Timeline |
United States Steel |
Xiaomi |
United States and Xiaomi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and Xiaomi
The main advantage of trading using opposite United States and Xiaomi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, Xiaomi 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 Xiaomi will offset losses from the drop in Xiaomi's long position.United States vs. McEwen Mining | United States vs. Salesforce, | United States vs. Air Transport Services | United States vs. The Home Depot |
Xiaomi vs. Grupo Hotelero Santa | Xiaomi vs. Air Transport Services | Xiaomi vs. FibraHotel | Xiaomi vs. Grupo Sports World |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Complementary Tools
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |