Correlation Between First Insurance and Newretail
Can any of the company-specific risk be diversified away by investing in both First Insurance and Newretail 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 First Insurance and Newretail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Insurance Co and Newretail Co, you can compare the effects of market volatilities on First Insurance and Newretail 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 First Insurance with a short position of Newretail. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Insurance and Newretail.
Diversification Opportunities for First Insurance and Newretail
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between First and Newretail is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding First Insurance Co and Newretail Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newretail and First 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 First Insurance Co are associated (or correlated) with Newretail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newretail has no effect on the direction of First Insurance i.e., First Insurance and Newretail go up and down completely randomly.
Pair Corralation between First Insurance and Newretail
Assuming the 90 days trading horizon First Insurance is expected to generate 3.8 times less return on investment than Newretail. But when comparing it to its historical volatility, First Insurance Co is 4.75 times less risky than Newretail. It trades about 0.33 of its potential returns per unit of risk. Newretail Co is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 2,010 in Newretail Co on August 30, 2024 and sell it today you would earn a total of 585.00 from holding Newretail Co or generate 29.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
First Insurance Co vs. Newretail Co
Performance |
| Timeline |
| First Insurance |
| Newretail |
First Insurance and Newretail Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Insurance and Newretail
The main advantage of trading using opposite First Insurance and Newretail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Insurance position performs unexpectedly, Newretail 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 Newretail will offset losses from the drop in Newretail's long position.| First Insurance vs. EnTie Commercial Bank | First Insurance vs. Union Bank of | First Insurance vs. Bank of Kaohsiung | First Insurance vs. Taiwan Business Bank |
| Newretail vs. Simple Mart Retail | Newretail vs. Johnson Health Tech | Newretail vs. Pacific Construction Co | Newretail vs. Kindom Construction Corp |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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