Correlation Between Song Ho and ALFORMER Industrial
Can any of the company-specific risk be diversified away by investing in both Song Ho and ALFORMER Industrial 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 Song Ho and ALFORMER Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Song Ho Industrial and ALFORMER Industrial Co, you can compare the effects of market volatilities on Song Ho and ALFORMER Industrial 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 Song Ho with a short position of ALFORMER Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Song Ho and ALFORMER Industrial.
Diversification Opportunities for Song Ho and ALFORMER Industrial
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Song and ALFORMER is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Song Ho Industrial and ALFORMER Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALFORMER Industrial and Song Ho 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 Song Ho Industrial are associated (or correlated) with ALFORMER Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALFORMER Industrial has no effect on the direction of Song Ho i.e., Song Ho and ALFORMER Industrial go up and down completely randomly.
Pair Corralation between Song Ho and ALFORMER Industrial
Assuming the 90 days trading horizon Song Ho is expected to generate 131.82 times less return on investment than ALFORMER Industrial. But when comparing it to its historical volatility, Song Ho Industrial is 3.29 times less risky than ALFORMER Industrial. It trades about 0.0 of its potential returns per unit of risk. ALFORMER Industrial Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,311 in ALFORMER Industrial Co on August 30, 2024 and sell it today you would earn a total of 1,624 from holding ALFORMER Industrial Co or generate 70.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Song Ho Industrial vs. ALFORMER Industrial Co
Performance |
| Timeline |
| Song Ho Industrial |
| ALFORMER Industrial |
Song Ho and ALFORMER Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Song Ho and ALFORMER Industrial
The main advantage of trading using opposite Song Ho and ALFORMER Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Song Ho position performs unexpectedly, ALFORMER Industrial 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 ALFORMER Industrial will offset losses from the drop in ALFORMER Industrial's long position.| Song Ho vs. China Steel Corp | Song Ho vs. Chung Hung Steel | Song Ho vs. Tung Ho Steel | Song Ho vs. Feng Hsin Steel |
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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