Correlation Between Bosung Power and S Fuelcell
Can any of the company-specific risk be diversified away by investing in both Bosung Power and S Fuelcell 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 Bosung Power and S Fuelcell into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bosung Power Technology and S Fuelcell co, you can compare the effects of market volatilities on Bosung Power and S Fuelcell 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 Bosung Power with a short position of S Fuelcell. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosung Power and S Fuelcell.
Diversification Opportunities for Bosung Power and S Fuelcell
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bosung and 288620 is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Bosung Power Technology and S Fuelcell co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on S Fuelcell co and Bosung Power 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 Bosung Power Technology are associated (or correlated) with S Fuelcell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of S Fuelcell co has no effect on the direction of Bosung Power i.e., Bosung Power and S Fuelcell go up and down completely randomly.
Pair Corralation between Bosung Power and S Fuelcell
Assuming the 90 days trading horizon Bosung Power Technology is expected to generate 1.34 times more return on investment than S Fuelcell. However, Bosung Power is 1.34 times more volatile than S Fuelcell co. It trades about 0.01 of its potential returns per unit of risk. S Fuelcell co is currently generating about -0.1 per unit of risk. If you would invest 324,000 in Bosung Power Technology on August 25, 2024 and sell it today you would lose (24,000) from holding Bosung Power Technology or give up 7.41% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bosung Power Technology vs. S Fuelcell co
Performance |
| Timeline |
| Bosung Power Technology |
| S Fuelcell co |
Bosung Power and S Fuelcell Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bosung Power and S Fuelcell
The main advantage of trading using opposite Bosung Power and S Fuelcell positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosung Power position performs unexpectedly, S Fuelcell 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 S Fuelcell will offset losses from the drop in S Fuelcell's long position.| Bosung Power vs. Samsung Electronics Co | Bosung Power vs. Samsung Electronics Co | Bosung Power vs. Hyundai Motor Co | Bosung Power vs. Hyundai Motor |
| S Fuelcell vs. Ecopro BM Co | S Fuelcell vs. Shin Heung Energy | S Fuelcell vs. Sangsin Energy Display | S Fuelcell vs. Amogreentech CoLtd |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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