Correlation Between First Financial and Victory New
Can any of the company-specific risk be diversified away by investing in both First Financial and Victory New 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 Financial and Victory New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Financial Holding and Victory New Materials, you can compare the effects of market volatilities on First Financial and Victory New 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 Financial with a short position of Victory New. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Financial and Victory New.
Diversification Opportunities for First Financial and Victory New
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between First and Victory is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding First Financial Holding and Victory New Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Victory New Materials and First Financial 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 Financial Holding are associated (or correlated) with Victory New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Victory New Materials has no effect on the direction of First Financial i.e., First Financial and Victory New go up and down completely randomly.
Pair Corralation between First Financial and Victory New
Assuming the 90 days trading horizon First Financial Holding is expected to generate 0.61 times more return on investment than Victory New. However, First Financial Holding is 1.64 times less risky than Victory New. It trades about 0.02 of its potential returns per unit of risk. Victory New Materials is currently generating about -0.13 per unit of risk. If you would invest 2,725 in First Financial Holding on December 30, 2024 and sell it today you would earn a total of 20.00 from holding First Financial Holding or generate 0.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Financial Holding vs. Victory New Materials
Performance |
Timeline |
First Financial Holding |
Victory New Materials |
First Financial and Victory New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Financial and Victory New
The main advantage of trading using opposite First Financial and Victory New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Financial position performs unexpectedly, Victory New 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 Victory New will offset losses from the drop in Victory New's long position.First Financial vs. Mega Financial Holding | First Financial vs. CTBC Financial Holding | First Financial vs. Hua Nan Financial | First Financial vs. ESUN Financial Holding |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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