Correlation Between Merida Industry and Giant Manufacturing
Can any of the company-specific risk be diversified away by investing in both Merida Industry and Giant Manufacturing 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 Merida Industry and Giant Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merida Industry Co and Giant Manufacturing Co, you can compare the effects of market volatilities on Merida Industry and Giant Manufacturing 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 Merida Industry with a short position of Giant Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merida Industry and Giant Manufacturing.
Diversification Opportunities for Merida Industry and Giant Manufacturing
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Merida and Giant is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Merida Industry Co and Giant Manufacturing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giant Manufacturing and Merida Industry 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 Merida Industry Co are associated (or correlated) with Giant Manufacturing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Giant Manufacturing has no effect on the direction of Merida Industry i.e., Merida Industry and Giant Manufacturing go up and down completely randomly.
Pair Corralation between Merida Industry and Giant Manufacturing
Assuming the 90 days trading horizon Merida Industry Co is expected to generate 1.11 times more return on investment than Giant Manufacturing. However, Merida Industry is 1.11 times more volatile than Giant Manufacturing Co. It trades about -0.19 of its potential returns per unit of risk. Giant Manufacturing Co is currently generating about -0.41 per unit of risk. If you would invest 17,700 in Merida Industry Co on August 31, 2024 and sell it today you would lose (1,700) from holding Merida Industry Co or give up 9.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Merida Industry Co vs. Giant Manufacturing Co
Performance |
Timeline |
Merida Industry |
Giant Manufacturing |
Merida Industry and Giant Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Merida Industry and Giant Manufacturing
The main advantage of trading using opposite Merida Industry and Giant Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merida Industry position performs unexpectedly, Giant Manufacturing 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 Giant Manufacturing will offset losses from the drop in Giant Manufacturing's long position.Merida Industry vs. Chaintech Technology Corp | Merida Industry vs. AVerMedia Technologies | Merida Industry vs. Avision | Merida Industry vs. Clevo Co |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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