Correlation Between Fubon MSCI and HiTi Digital
Can any of the company-specific risk be diversified away by investing in both Fubon MSCI and HiTi Digital 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 Fubon MSCI and HiTi Digital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fubon MSCI Taiwan and HiTi Digital, you can compare the effects of market volatilities on Fubon MSCI and HiTi Digital 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 Fubon MSCI with a short position of HiTi Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fubon MSCI and HiTi Digital.
Diversification Opportunities for Fubon MSCI and HiTi Digital
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Fubon and HiTi is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Fubon MSCI Taiwan and HiTi Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HiTi Digital and Fubon MSCI 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 Fubon MSCI Taiwan are associated (or correlated) with HiTi Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HiTi Digital has no effect on the direction of Fubon MSCI i.e., Fubon MSCI and HiTi Digital go up and down completely randomly.
Pair Corralation between Fubon MSCI and HiTi Digital
Assuming the 90 days trading horizon Fubon MSCI is expected to generate 3.48 times less return on investment than HiTi Digital. But when comparing it to its historical volatility, Fubon MSCI Taiwan is 5.48 times less risky than HiTi Digital. It trades about 0.11 of its potential returns per unit of risk. HiTi Digital is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 660.00 in HiTi Digital on August 29, 2024 and sell it today you would earn a total of 965.00 from holding HiTi Digital or generate 146.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fubon MSCI Taiwan vs. HiTi Digital
Performance |
| Timeline |
| Fubon MSCI Taiwan |
| HiTi Digital |
Fubon MSCI and HiTi Digital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fubon MSCI and HiTi Digital
The main advantage of trading using opposite Fubon MSCI and HiTi Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fubon MSCI position performs unexpectedly, HiTi Digital 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 HiTi Digital will offset losses from the drop in HiTi Digital's long position.| Fubon MSCI vs. Fubon Hang Seng | Fubon MSCI vs. Fubon SP Preferred | Fubon MSCI vs. Fubon NASDAQ 100 1X | Fubon MSCI vs. Fubon TWSE Corporate |
| HiTi Digital vs. ASRock Inc | HiTi Digital vs. FIC Global | HiTi Digital vs. In Win Development | HiTi Digital vs. Getac Technology 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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