Correlation Between General Engineering and Better World
Can any of the company-specific risk be diversified away by investing in both General Engineering and Better World 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 General Engineering and Better World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Engineering Public and Better World Green, you can compare the effects of market volatilities on General Engineering and Better World 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 General Engineering with a short position of Better World. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Engineering and Better World.
Diversification Opportunities for General Engineering and Better World
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between General and Better is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding General Engineering Public and Better World Green in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Better World Green and General Engineering 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 General Engineering Public are associated (or correlated) with Better World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Better World Green has no effect on the direction of General Engineering i.e., General Engineering and Better World go up and down completely randomly.
Pair Corralation between General Engineering and Better World
Assuming the 90 days trading horizon General Engineering Public is expected to generate 35.06 times more return on investment than Better World. However, General Engineering is 35.06 times more volatile than Better World Green. It trades about 0.11 of its potential returns per unit of risk. Better World Green is currently generating about 0.0 per unit of risk. If you would invest 9.00 in General Engineering Public on August 31, 2024 and sell it today you would earn a total of 1.00 from holding General Engineering Public or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
General Engineering Public vs. Better World Green
Performance |
Timeline |
General Engineering |
Better World Green |
General Engineering and Better World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Engineering and Better World
The main advantage of trading using opposite General Engineering and Better World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Engineering position performs unexpectedly, Better World 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 Better World will offset losses from the drop in Better World's long position.General Engineering vs. Dcon Products Public | General Engineering vs. Eastern Star Real | General Engineering vs. Chonburi Concrete Product | General Engineering vs. Eastern Polymer Group |
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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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