Correlation Between Farglory Land and Giant Manufacturing
Can any of the company-specific risk be diversified away by investing in both Farglory Land 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 Farglory Land and Giant Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Farglory Land Development and Giant Manufacturing Co, you can compare the effects of market volatilities on Farglory Land 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 Farglory Land with a short position of Giant Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Farglory Land and Giant Manufacturing.
Diversification Opportunities for Farglory Land and Giant Manufacturing
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Farglory and Giant is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Farglory Land Development and Giant Manufacturing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giant Manufacturing and Farglory Land 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 Farglory Land Development 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 Farglory Land i.e., Farglory Land and Giant Manufacturing go up and down completely randomly.
Pair Corralation between Farglory Land and Giant Manufacturing
Assuming the 90 days trading horizon Farglory Land is expected to generate 2.83 times less return on investment than Giant Manufacturing. But when comparing it to its historical volatility, Farglory Land Development is 1.08 times less risky than Giant Manufacturing. It trades about 0.07 of its potential returns per unit of risk. Giant Manufacturing Co is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 14,050 in Giant Manufacturing Co on December 2, 2024 and sell it today you would earn a total of 1,750 from holding Giant Manufacturing Co or generate 12.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Farglory Land Development vs. Giant Manufacturing Co
Performance |
Timeline |
Farglory Land Development |
Giant Manufacturing |
Farglory Land and Giant Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Farglory Land and Giant Manufacturing
The main advantage of trading using opposite Farglory Land and Giant Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Farglory Land 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.Farglory Land vs. Highwealth Construction Corp | ||
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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