Correlation Between Shipping and Life InsuranceOf
Can any of the company-specific risk be diversified away by investing in both Shipping and Life InsuranceOf 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 Shipping and Life InsuranceOf into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shipping and Life Insurance, you can compare the effects of market volatilities on Shipping and Life InsuranceOf 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 Shipping with a short position of Life InsuranceOf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shipping and Life InsuranceOf.
Diversification Opportunities for Shipping and Life InsuranceOf
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Shipping and Life is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Shipping and Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Life InsuranceOf and Shipping 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 Shipping are associated (or correlated) with Life InsuranceOf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Life InsuranceOf has no effect on the direction of Shipping i.e., Shipping and Life InsuranceOf go up and down completely randomly.
Pair Corralation between Shipping and Life InsuranceOf
Assuming the 90 days trading horizon Shipping is expected to under-perform the Life InsuranceOf. In addition to that, Shipping is 2.15 times more volatile than Life Insurance. It trades about -0.08 of its total potential returns per unit of risk. Life Insurance is currently generating about -0.11 per unit of volatility. If you would invest 90,540 in Life Insurance on December 30, 2024 and sell it today you would lose (10,600) from holding Life Insurance or give up 11.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Shipping vs. Life Insurance
Performance |
Timeline |
Shipping |
Life InsuranceOf |
Shipping and Life InsuranceOf Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shipping and Life InsuranceOf
The main advantage of trading using opposite Shipping and Life InsuranceOf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shipping position performs unexpectedly, Life InsuranceOf 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 Life InsuranceOf will offset losses from the drop in Life InsuranceOf's long position.Shipping vs. Patanjali Foods Limited | Shipping vs. Vishnu Chemicals Limited | Shipping vs. Bhagiradha Chemicals Industries | Shipping vs. Bodal Chemicals Limited |
Life InsuranceOf vs. Alkyl Amines Chemicals | Life InsuranceOf vs. Vishnu Chemicals Limited | Life InsuranceOf vs. Diligent Media | Life InsuranceOf vs. Sudarshan Chemical Industries |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
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