Correlation Between MICRODATA and CFG BANK

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

Diversification Opportunities for MICRODATA and CFG BANK

MICRODATACFGDiversified AwayMICRODATACFGDiversified Away100%
0.67
  Correlation Coefficient

Poor diversification

The 3 months correlation between MICRODATA and CFG is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding MICRODATA and CFG BANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CFG BANK and MICRODATA 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 MICRODATA are associated (or correlated) with CFG BANK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CFG BANK has no effect on the direction of MICRODATA i.e., MICRODATA and CFG BANK go up and down completely randomly.

Pair Corralation between MICRODATA and CFG BANK

Assuming the 90 days trading horizon MICRODATA is expected to generate 2.61 times less return on investment than CFG BANK. In addition to that, MICRODATA is 1.2 times more volatile than CFG BANK. It trades about 0.05 of its total potential returns per unit of risk. CFG BANK is currently generating about 0.15 per unit of volatility. If you would invest  12,095  in CFG BANK on December 1, 2024 and sell it today you would earn a total of  11,605  from holding CFG BANK or generate 95.95% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy60.7%
ValuesDaily Returns

MICRODATA  vs.  CFG BANK

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -50510152025
JavaScript chart by amCharts 3.21.15MICRODATA CFG-BANK
       Timeline  
MICRODATA 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in MICRODATA are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unfluctuating fundamental indicators, MICRODATA sustained solid returns over the last few months and may actually be approaching a breakup point.
JavaScript chart by amCharts 3.21.15JanFebFeb600650700750800
CFG BANK 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in CFG BANK are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of very unsteady fundamental drivers, CFG BANK displayed solid returns over the last few months and may actually be approaching a breakup point.
JavaScript chart by amCharts 3.21.15JanFebFeb210220230240250

MICRODATA and CFG BANK Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-8.04-6.02-4.0-1.990.02.084.226.378.5210.66 0.050.100.150.200.25
JavaScript chart by amCharts 3.21.15MICRODATA CFG-BANK
       Returns  

Pair Trading with MICRODATA and CFG BANK

The main advantage of trading using opposite MICRODATA and CFG BANK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MICRODATA position performs unexpectedly, CFG BANK 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 CFG BANK will offset losses from the drop in CFG BANK's long position.
The idea behind MICRODATA and CFG BANK 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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