Correlation Between Mega Financial and Hon Hai
Can any of the company-specific risk be diversified away by investing in both Mega Financial and Hon Hai 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 Mega Financial and Hon Hai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mega Financial Holding and Hon Hai Precision, you can compare the effects of market volatilities on Mega Financial and Hon Hai 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 Mega Financial with a short position of Hon Hai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mega Financial and Hon Hai.
Diversification Opportunities for Mega Financial and Hon Hai
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Mega and Hon is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Mega Financial Holding and Hon Hai Precision in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hon Hai Precision and Mega 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 Mega Financial Holding are associated (or correlated) with Hon Hai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hon Hai Precision has no effect on the direction of Mega Financial i.e., Mega Financial and Hon Hai go up and down completely randomly.
Pair Corralation between Mega Financial and Hon Hai
Assuming the 90 days trading horizon Mega Financial Holding is expected to generate 0.48 times more return on investment than Hon Hai. However, Mega Financial Holding is 2.1 times less risky than Hon Hai. It trades about 0.14 of its potential returns per unit of risk. Hon Hai Precision is currently generating about -0.05 per unit of risk. If you would invest 3,925 in Mega Financial Holding on August 28, 2024 and sell it today you would earn a total of 90.00 from holding Mega Financial Holding or generate 2.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mega Financial Holding vs. Hon Hai Precision
Performance |
| Timeline |
| Mega Financial Holding |
| Hon Hai Precision |
Mega Financial and Hon Hai Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mega Financial and Hon Hai
The main advantage of trading using opposite Mega Financial and Hon Hai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mega Financial position performs unexpectedly, Hon Hai 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 Hon Hai will offset losses from the drop in Hon Hai's long position.| Mega Financial vs. CTBC Financial Holding | Mega Financial vs. Fubon Financial Holding | Mega Financial vs. First Financial Holding | Mega Financial vs. Cathay Financial Holding |
| Hon Hai vs. United Microelectronics | Hon Hai vs. MediaTek | Hon Hai vs. Chunghwa Telecom Co | Hon Hai vs. Delta Electronics |
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 Stocks Directory module to find actively traded stocks across global markets.
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