Correlation Between Mega Financial and Chailease Holding
Can any of the company-specific risk be diversified away by investing in both Mega Financial and Chailease Holding 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 Chailease Holding 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 Chailease Holding Co, you can compare the effects of market volatilities on Mega Financial and Chailease Holding 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 Chailease Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mega Financial and Chailease Holding.
Diversification Opportunities for Mega Financial and Chailease Holding
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mega and Chailease is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Mega Financial Holding and Chailease Holding Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chailease Holding 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 Chailease Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chailease Holding has no effect on the direction of Mega Financial i.e., Mega Financial and Chailease Holding go up and down completely randomly.
Pair Corralation between Mega Financial and Chailease Holding
Assuming the 90 days trading horizon Mega Financial Holding is expected to generate 0.34 times more return on investment than Chailease Holding. However, Mega Financial Holding is 2.96 times less risky than Chailease Holding. It trades about 0.04 of its potential returns per unit of risk. Chailease Holding Co is currently generating about -0.12 per unit of risk. If you would invest 3,905 in Mega Financial Holding on September 2, 2024 and sell it today you would earn a total of 70.00 from holding Mega Financial Holding or generate 1.79% 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. Chailease Holding Co
Performance |
Timeline |
Mega Financial Holding |
Chailease Holding |
Mega Financial and Chailease Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mega Financial and Chailease Holding
The main advantage of trading using opposite Mega Financial and Chailease Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mega Financial position performs unexpectedly, Chailease Holding 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 Chailease Holding will offset losses from the drop in Chailease Holding'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 |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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