Correlation Between AGRICUL BK and S A P

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

Diversification Opportunities for AGRICUL BK and S A P

0.87
  Correlation Coefficient

Very poor diversification

The 3 months correlation between AGRICUL and SAP is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding AGRICUL BK CHINA H and SAP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE and AGRICUL BK 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 AGRICUL BK CHINA H are associated (or correlated) with S A P. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAP SE has no effect on the direction of AGRICUL BK i.e., AGRICUL BK and S A P go up and down completely randomly.

Pair Corralation between AGRICUL BK and S A P

Assuming the 90 days trading horizon AGRICUL BK is expected to generate 2.57 times less return on investment than S A P. In addition to that, AGRICUL BK is 1.51 times more volatile than SAP SE. It trades about 0.01 of its total potential returns per unit of risk. SAP SE is currently generating about 0.04 per unit of volatility. If you would invest  22,230  in SAP SE on August 28, 2024 and sell it today you would earn a total of  205.00  from holding SAP SE or generate 0.92% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

AGRICUL BK CHINA H   vs.  SAP SE

 Performance 
       Timeline  
AGRICUL BK CHINA 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in AGRICUL BK CHINA H are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, AGRICUL BK exhibited solid returns over the last few months and may actually be approaching a breakup point.
SAP SE 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in SAP SE are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, S A P unveiled solid returns over the last few months and may actually be approaching a breakup point.

AGRICUL BK and S A P Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with AGRICUL BK and S A P

The main advantage of trading using opposite AGRICUL BK and S A P positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGRICUL BK position performs unexpectedly, S A P 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 S A P will offset losses from the drop in S A P's long position.
The idea behind AGRICUL BK CHINA H and SAP SE 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.
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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