Correlation Between Ping An and Xi An

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Can any of the company-specific risk be diversified away by investing in both Ping An and Xi An 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 Ping An and Xi An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ping An Insurance and Xi An Triangle, you can compare the effects of market volatilities on Ping An and Xi An 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 Ping An with a short position of Xi An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and Xi An.

Diversification Opportunities for Ping An and Xi An

0.82
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Ping and 300775 is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Xi An Triangle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xi An Triangle and Ping An 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 Ping An Insurance are associated (or correlated) with Xi An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xi An Triangle has no effect on the direction of Ping An i.e., Ping An and Xi An go up and down completely randomly.

Pair Corralation between Ping An and Xi An

Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.68 times more return on investment than Xi An. However, Ping An Insurance is 1.47 times less risky than Xi An. It trades about -0.1 of its potential returns per unit of risk. Xi An Triangle is currently generating about -0.09 per unit of risk. If you would invest  5,592  in Ping An Insurance on September 1, 2024 and sell it today you would lose (267.00) from holding Ping An Insurance or give up 4.77% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy95.65%
ValuesDaily Returns

Ping An Insurance  vs.  Xi An Triangle

 Performance 
       Timeline  
Ping An Insurance 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Ping An Insurance are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Ping An sustained solid returns over the last few months and may actually be approaching a breakup point.
Xi An Triangle 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Xi An Triangle are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Xi An sustained solid returns over the last few months and may actually be approaching a breakup point.

Ping An and Xi An Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ping An and Xi An

The main advantage of trading using opposite Ping An and Xi An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, Xi An 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 Xi An will offset losses from the drop in Xi An's long position.
The idea behind Ping An Insurance and Xi An Triangle 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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