Correlation Between Hota Industrial and General Plastic
Can any of the company-specific risk be diversified away by investing in both Hota Industrial and General Plastic 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 Hota Industrial and General Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hota Industrial Mfg and General Plastic Industrial, you can compare the effects of market volatilities on Hota Industrial and General Plastic 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 Hota Industrial with a short position of General Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hota Industrial and General Plastic.
Diversification Opportunities for Hota Industrial and General Plastic
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hota and General is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Hota Industrial Mfg and General Plastic Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Plastic Indu and Hota Industrial 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 Hota Industrial Mfg are associated (or correlated) with General Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Plastic Indu has no effect on the direction of Hota Industrial i.e., Hota Industrial and General Plastic go up and down completely randomly.
Pair Corralation between Hota Industrial and General Plastic
Assuming the 90 days trading horizon Hota Industrial Mfg is expected to generate 4.57 times more return on investment than General Plastic. However, Hota Industrial is 4.57 times more volatile than General Plastic Industrial. It trades about 0.13 of its potential returns per unit of risk. General Plastic Industrial is currently generating about -0.29 per unit of risk. If you would invest 6,110 in Hota Industrial Mfg on October 10, 2024 and sell it today you would earn a total of 440.00 from holding Hota Industrial Mfg or generate 7.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hota Industrial Mfg vs. General Plastic Industrial
Performance |
Timeline |
Hota Industrial Mfg |
General Plastic Indu |
Hota Industrial and General Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hota Industrial and General Plastic
The main advantage of trading using opposite Hota Industrial and General Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hota Industrial position performs unexpectedly, General Plastic 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 General Plastic will offset losses from the drop in General Plastic's long position.Hota Industrial vs. BizLink Holding | Hota Industrial vs. Delta Electronics | Hota Industrial vs. Eclat Textile Co | Hota Industrial vs. Chroma ATE |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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