Correlation Between First Insurance and Inmax Holding
Can any of the company-specific risk be diversified away by investing in both First Insurance and Inmax Holding 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 Inmax Holding 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 Inmax Holding Co, you can compare the effects of market volatilities on First Insurance and Inmax Holding 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 Inmax Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Insurance and Inmax Holding.
Diversification Opportunities for First Insurance and Inmax Holding
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Inmax is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding First Insurance Co and Inmax Holding Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inmax Holding 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 Inmax Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inmax Holding has no effect on the direction of First Insurance i.e., First Insurance and Inmax Holding go up and down completely randomly.
Pair Corralation between First Insurance and Inmax Holding
Assuming the 90 days trading horizon First Insurance is expected to generate 2.34 times less return on investment than Inmax Holding. But when comparing it to its historical volatility, First Insurance Co is 2.22 times less risky than Inmax Holding. It trades about 0.07 of its potential returns per unit of risk. Inmax Holding Co is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2,399 in Inmax Holding Co on October 5, 2024 and sell it today you would earn a total of 3,051 from holding Inmax Holding Co or generate 127.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Insurance Co vs. Inmax Holding Co
Performance |
Timeline |
First Insurance |
Inmax Holding |
First Insurance and Inmax Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Insurance and Inmax Holding
The main advantage of trading using opposite First Insurance and Inmax Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Insurance position performs unexpectedly, Inmax Holding 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 Inmax Holding will offset losses from the drop in Inmax Holding'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 |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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