Correlation Between Mega Financial and Power Wind
Can any of the company-specific risk be diversified away by investing in both Mega Financial and Power Wind 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 Power Wind 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 Power Wind Health, you can compare the effects of market volatilities on Mega Financial and Power Wind 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 Power Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mega Financial and Power Wind.
Diversification Opportunities for Mega Financial and Power Wind
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mega and Power is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Mega Financial Holding and Power Wind Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Wind Health 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 Power Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Wind Health has no effect on the direction of Mega Financial i.e., Mega Financial and Power Wind go up and down completely randomly.
Pair Corralation between Mega Financial and Power Wind
Assuming the 90 days trading horizon Mega Financial is expected to generate 1.39 times less return on investment than Power Wind. But when comparing it to its historical volatility, Mega Financial Holding is 1.42 times less risky than Power Wind. It trades about 0.08 of its potential returns per unit of risk. Power Wind Health is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 11,500 in Power Wind Health on September 12, 2024 and sell it today you would earn a total of 200.00 from holding Power Wind Health or generate 1.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mega Financial Holding vs. Power Wind Health
Performance |
Timeline |
Mega Financial Holding |
Power Wind Health |
Mega Financial and Power Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mega Financial and Power Wind
The main advantage of trading using opposite Mega Financial and Power Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mega Financial position performs unexpectedly, Power Wind 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 Power Wind will offset losses from the drop in Power Wind's long position.Mega Financial vs. Central Reinsurance Corp | Mega Financial vs. Huaku Development Co | Mega Financial vs. Fubon Financial Holding | Mega Financial vs. Chailease Holding Co |
Power Wind vs. Feng Tay Enterprises | Power Wind vs. Pou Chen Corp | Power Wind vs. Taiwan Paiho | Power Wind vs. Ruentex Development Co |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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