Correlation Between First Insurance and Yeou Yih
Can any of the company-specific risk be diversified away by investing in both First Insurance and Yeou Yih 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 Yeou Yih 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 Yeou Yih Steel, you can compare the effects of market volatilities on First Insurance and Yeou Yih 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 Yeou Yih. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Insurance and Yeou Yih.
Diversification Opportunities for First Insurance and Yeou Yih
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between First and Yeou is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding First Insurance Co and Yeou Yih Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yeou Yih Steel 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 Yeou Yih. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yeou Yih Steel has no effect on the direction of First Insurance i.e., First Insurance and Yeou Yih go up and down completely randomly.
Pair Corralation between First Insurance and Yeou Yih
Assuming the 90 days trading horizon First Insurance Co is expected to generate 0.71 times more return on investment than Yeou Yih. However, First Insurance Co is 1.4 times less risky than Yeou Yih. It trades about 0.23 of its potential returns per unit of risk. Yeou Yih Steel is currently generating about 0.0 per unit of risk. If you would invest 2,240 in First Insurance Co on September 17, 2024 and sell it today you would earn a total of 275.00 from holding First Insurance Co or generate 12.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Insurance Co vs. Yeou Yih Steel
Performance |
Timeline |
First Insurance |
Yeou Yih Steel |
First Insurance and Yeou Yih Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Insurance and Yeou Yih
The main advantage of trading using opposite First Insurance and Yeou Yih positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Insurance position performs unexpectedly, Yeou Yih 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 Yeou Yih will offset losses from the drop in Yeou Yih's long position.First Insurance vs. Central Reinsurance Corp | First Insurance vs. Huaku Development Co | First Insurance vs. Fubon Financial Holding | First Insurance vs. Chailease Holding Co |
Yeou Yih vs. First Insurance Co | Yeou Yih vs. Energenesis Biomedical Co | Yeou Yih vs. Trade Van Information Services | Yeou Yih vs. Cowealth Medical Holding |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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