Correlation Between Computer Age and State Bank
Can any of the company-specific risk be diversified away by investing in both Computer Age and State 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 Computer Age and State Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Computer Age Management and State Bank of, you can compare the effects of market volatilities on Computer Age and State 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 Computer Age with a short position of State Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Computer Age and State Bank.
Diversification Opportunities for Computer Age and State Bank
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Computer and State is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Computer Age Management and State Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Bank and Computer Age 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 Computer Age Management are associated (or correlated) with State Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Bank has no effect on the direction of Computer Age i.e., Computer Age and State Bank go up and down completely randomly.
Pair Corralation between Computer Age and State Bank
Assuming the 90 days trading horizon Computer Age Management is expected to generate 1.8 times more return on investment than State Bank. However, Computer Age is 1.8 times more volatile than State Bank of. It trades about 0.1 of its potential returns per unit of risk. State Bank of is currently generating about -0.02 per unit of risk. If you would invest 402,859 in Computer Age Management on September 21, 2024 and sell it today you would earn a total of 108,486 from holding Computer Age Management or generate 26.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Computer Age Management vs. State Bank of
Performance |
| Timeline |
| Computer Age Management |
| State Bank |
Computer Age and State Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Computer Age and State Bank
The main advantage of trading using opposite Computer Age and State Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Age position performs unexpectedly, State 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 State Bank will offset losses from the drop in State Bank's long position.| Computer Age vs. Industrial Investment Trust | Computer Age vs. FCS Software Solutions | Computer Age vs. Bajaj Holdings Investment | Computer Age vs. Nucleus Software Exports |
| State Bank vs. Nalwa Sons Investments | State Bank vs. GM Breweries Limited | State Bank vs. UTI Asset Management | State Bank vs. Computer Age Management |
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.
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