Correlation Between Life Insurance and Cambridge Technology
Can any of the company-specific risk be diversified away by investing in both Life Insurance and Cambridge Technology 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 Life Insurance and Cambridge Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Life Insurance and Cambridge Technology Enterprises, you can compare the effects of market volatilities on Life Insurance and Cambridge Technology 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 Life Insurance with a short position of Cambridge Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Life Insurance and Cambridge Technology.
Diversification Opportunities for Life Insurance and Cambridge Technology
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Life and Cambridge is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Life Insurance and Cambridge Technology Enterpris in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambridge Technology and Life 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 Life Insurance are associated (or correlated) with Cambridge Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambridge Technology has no effect on the direction of Life Insurance i.e., Life Insurance and Cambridge Technology go up and down completely randomly.
Pair Corralation between Life Insurance and Cambridge Technology
Assuming the 90 days trading horizon Life Insurance is expected to generate 0.72 times more return on investment than Cambridge Technology. However, Life Insurance is 1.39 times less risky than Cambridge Technology. It trades about 0.2 of its potential returns per unit of risk. Cambridge Technology Enterprises is currently generating about -0.12 per unit of risk. If you would invest 92,305 in Life Insurance on September 1, 2024 and sell it today you would earn a total of 6,245 from holding Life Insurance or generate 6.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Life Insurance vs. Cambridge Technology Enterpris
Performance |
| Timeline |
| Life Insurance |
| Cambridge Technology |
Life Insurance and Cambridge Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Life Insurance and Cambridge Technology
The main advantage of trading using opposite Life Insurance and Cambridge Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Life Insurance position performs unexpectedly, Cambridge Technology 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 Cambridge Technology will offset losses from the drop in Cambridge Technology's long position.| Life Insurance vs. Reliance Industries Limited | Life Insurance vs. Indian Oil | Life Insurance vs. Oil Natural Gas |
| Cambridge Technology vs. Man Infraconstruction Limited | Cambridge Technology vs. Can Fin Homes | Cambridge Technology vs. Total Transport Systems | Cambridge Technology vs. Electronics Mart India |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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