Correlation Between General Insurance and Computer Age
Can any of the company-specific risk be diversified away by investing in both General Insurance and Computer Age 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 General Insurance and Computer Age into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Insurance and Computer Age Management, you can compare the effects of market volatilities on General Insurance and Computer Age 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 General Insurance with a short position of Computer Age. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Insurance and Computer Age.
Diversification Opportunities for General Insurance and Computer Age
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between General and Computer is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Insurance and Computer Age Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computer Age Management and General Insurance 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 General Insurance are associated (or correlated) with Computer Age. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computer Age Management has no effect on the direction of General Insurance i.e., General Insurance and Computer Age go up and down completely randomly.
Pair Corralation between General Insurance and Computer Age
Assuming the 90 days trading horizon General Insurance is expected to generate 1.49 times more return on investment than Computer Age. However, General Insurance is 1.49 times more volatile than Computer Age Management. It trades about 0.08 of its potential returns per unit of risk. Computer Age Management is currently generating about 0.09 per unit of risk. If you would invest 18,442 in General Insurance on September 26, 2024 and sell it today you would earn a total of 28,448 from holding General Insurance or generate 154.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
General Insurance vs. Computer Age Management
Performance |
Timeline |
General Insurance |
Computer Age Management |
General Insurance and Computer Age Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Insurance and Computer Age
The main advantage of trading using opposite General Insurance and Computer Age positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Insurance position performs unexpectedly, Computer Age 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 Age will offset losses from the drop in Computer Age's long position.General Insurance vs. Garuda Construction Engineering | General Insurance vs. G Tec Jainx Education | General Insurance vs. Bigbloc Construction Limited | General Insurance vs. ZF Commercial Vehicle |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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