Correlation Between BANK CENTRAL and COMPUTER MODELLING

Can any of the company-specific risk be diversified away by investing in both BANK CENTRAL and COMPUTER MODELLING 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 BANK CENTRAL and COMPUTER MODELLING into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between BANK CENTRAL ASIA and COMPUTER MODELLING, you can compare the effects of market volatilities on BANK CENTRAL and COMPUTER MODELLING 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 BANK CENTRAL with a short position of COMPUTER MODELLING. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK CENTRAL and COMPUTER MODELLING.

Diversification Opportunities for BANK CENTRAL and COMPUTER MODELLING

-0.43

Correlation Coefficient

BANK CENTRAL  COMPUTER MODELLING

Very good diversification

The 3 months correlation between BANK and COMPUTER is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding BANK CENTRAL ASIA and COMPUTER MODELLING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPUTER MODELLING and BANK CENTRAL 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 BANK CENTRAL ASIA are associated (or correlated) with COMPUTER MODELLING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPUTER MODELLING has no effect on the direction of BANK CENTRAL i.e., BANK CENTRAL and COMPUTER MODELLING go up and down completely randomly.

Pair Corralation between BANK CENTRAL and COMPUTER MODELLING

Assuming the 90 days trading horizon BANK CENTRAL ASIA is expected to under-perform the COMPUTER MODELLING. In addition to that, BANK CENTRAL is 11.52 times more volatile than COMPUTER MODELLING. It trades about -0.03 of its total potential returns per unit of risk. COMPUTER MODELLING is currently generating about 0.13 per unit of volatility. If you would invest  375.00  in COMPUTER MODELLING on October 8, 2024 and sell it today you would earn a total of  5.00  from holding COMPUTER MODELLING or generate 1.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	98.33%
Values	Daily Returns

BANK CENTRAL ASIA  vs.  COMPUTER MODELLING

BANK CENTRAL ASIA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BANK CENTRAL ASIA has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, BANK CENTRAL is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

COMPUTER MODELLING

Risk-Adjusted Performance

0 of 100

OK

Over the last 90 days COMPUTER MODELLING has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound forward-looking indicators, COMPUTER MODELLING is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with BANK CENTRAL and COMPUTER MODELLING

The main advantage of trading using opposite BANK CENTRAL and COMPUTER MODELLING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK CENTRAL position performs unexpectedly, COMPUTER MODELLING 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 COMPUTER MODELLING will offset losses from the drop in COMPUTER MODELLING's long position.

The idea behind BANK CENTRAL ASIA and COMPUTER MODELLING 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.