Correlation Between Baidu and Lizhi
Can any of the company-specific risk be diversified away by investing in both Baidu and Lizhi 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 Baidu and Lizhi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baidu Inc and Lizhi Inc, you can compare the effects of market volatilities on Baidu and Lizhi 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 Baidu with a short position of Lizhi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baidu and Lizhi.
Diversification Opportunities for Baidu and Lizhi
Pay attention - limited upside
The 3 months correlation between Baidu and Lizhi is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Baidu Inc and Lizhi Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lizhi Inc and Baidu 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 Baidu Inc are associated (or correlated) with Lizhi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lizhi Inc has no effect on the direction of Baidu i.e., Baidu and Lizhi go up and down completely randomly.
Pair Corralation between Baidu and Lizhi
If you would invest 8,405 in Baidu Inc on December 28, 2024 and sell it today you would earn a total of 1,437 from holding Baidu Inc or generate 17.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Baidu Inc vs. Lizhi Inc
Performance |
Timeline |
Baidu Inc |
Lizhi Inc |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Baidu and Lizhi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baidu and Lizhi
The main advantage of trading using opposite Baidu and Lizhi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baidu position performs unexpectedly, Lizhi 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 Lizhi will offset losses from the drop in Lizhi's long position.The idea behind Baidu Inc and Lizhi Inc 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.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.
Other Complementary Tools
Transaction History View history of all your transactions and understand their impact on performance | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |