Correlation Between Para Light and Green World
Can any of the company-specific risk be diversified away by investing in both Para Light and Green 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 Para Light and Green World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Para Light Electronics and Green World Fintech, you can compare the effects of market volatilities on Para Light and Green 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 Para Light with a short position of Green World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Para Light and Green World.
Diversification Opportunities for Para Light and Green World
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Para and Green is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Para Light Electronics and Green World Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green World Fintech and Para Light 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 Para Light Electronics are associated (or correlated) with Green World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green World Fintech has no effect on the direction of Para Light i.e., Para Light and Green World go up and down completely randomly.
Pair Corralation between Para Light and Green World
Assuming the 90 days trading horizon Para Light Electronics is expected to generate 0.55 times more return on investment than Green World. However, Para Light Electronics is 1.83 times less risky than Green World. It trades about -0.31 of its potential returns per unit of risk. Green World Fintech is currently generating about -0.27 per unit of risk. If you would invest 948.00 in Para Light Electronics on October 5, 2024 and sell it today you would lose (82.00) from holding Para Light Electronics or give up 8.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Para Light Electronics vs. Green World Fintech
Performance |
Timeline |
Para Light Electronics |
Green World Fintech |
Para Light and Green World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Para Light and Green World
The main advantage of trading using opposite Para Light and Green World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Para Light position performs unexpectedly, Green 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 Green World will offset losses from the drop in Green World's long position.Para Light vs. Harvatek Corp | Para Light vs. Bright Led Electronics | Para Light vs. Ledtech Electronics Corp | Para Light vs. Everlight Electronics Co |
Green World vs. Jentech Precision Industrial | Green World vs. Chung Lien Transportation | Green World vs. Wah Hong Industrial | Green World vs. U Ming Marine Transport |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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