Correlation Between IBF Financial and Taiwan Steel
Can any of the company-specific risk be diversified away by investing in both IBF Financial and Taiwan Steel 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 IBF Financial and Taiwan Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IBF Financial Holdings and Taiwan Steel Union, you can compare the effects of market volatilities on IBF Financial and Taiwan Steel 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 IBF Financial with a short position of Taiwan Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of IBF Financial and Taiwan Steel.
Diversification Opportunities for IBF Financial and Taiwan Steel
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between IBF and Taiwan is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding IBF Financial Holdings and Taiwan Steel Union in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taiwan Steel Union and IBF 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 IBF Financial Holdings are associated (or correlated) with Taiwan Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taiwan Steel Union has no effect on the direction of IBF Financial i.e., IBF Financial and Taiwan Steel go up and down completely randomly.
Pair Corralation between IBF Financial and Taiwan Steel
Assuming the 90 days trading horizon IBF Financial Holdings is expected to generate 0.9 times more return on investment than Taiwan Steel. However, IBF Financial Holdings is 1.11 times less risky than Taiwan Steel. It trades about 0.02 of its potential returns per unit of risk. Taiwan Steel Union is currently generating about -0.25 per unit of risk. If you would invest 1,480 in IBF Financial Holdings on September 5, 2024 and sell it today you would earn a total of 5.00 from holding IBF Financial Holdings or generate 0.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
IBF Financial Holdings vs. Taiwan Steel Union
Performance |
Timeline |
IBF Financial Holdings |
Taiwan Steel Union |
IBF Financial and Taiwan Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IBF Financial and Taiwan Steel
The main advantage of trading using opposite IBF Financial and Taiwan Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IBF Financial position performs unexpectedly, Taiwan Steel 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 Taiwan Steel will offset losses from the drop in Taiwan Steel's long position.IBF Financial vs. Taiwan Steel Union | IBF Financial vs. Tang Eng Iron | IBF Financial vs. Century Iron And | IBF Financial vs. Johnson Health Tech |
Taiwan Steel vs. Cleanaway Co | Taiwan Steel vs. Sunny Friend Environmental | Taiwan Steel vs. Topco Scientific Co | Taiwan Steel vs. Kung Long Batteries |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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