Correlation Between Song Shang and Giant Manufacturing
Can any of the company-specific risk be diversified away by investing in both Song Shang and Giant Manufacturing 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 Shang and Giant Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Song Shang Electronics and Giant Manufacturing Co, you can compare the effects of market volatilities on Song Shang and Giant Manufacturing 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 Shang with a short position of Giant Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Song Shang and Giant Manufacturing.
Diversification Opportunities for Song Shang and Giant Manufacturing
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Song and Giant is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Song Shang Electronics and Giant Manufacturing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giant Manufacturing and Song Shang 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 Shang Electronics are associated (or correlated) with Giant Manufacturing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Giant Manufacturing has no effect on the direction of Song Shang i.e., Song Shang and Giant Manufacturing go up and down completely randomly.
Pair Corralation between Song Shang and Giant Manufacturing
Assuming the 90 days trading horizon Song Shang Electronics is expected to generate 1.75 times more return on investment than Giant Manufacturing. However, Song Shang is 1.75 times more volatile than Giant Manufacturing Co. It trades about -0.01 of its potential returns per unit of risk. Giant Manufacturing Co is currently generating about -0.25 per unit of risk. If you would invest 2,925 in Song Shang Electronics on September 14, 2024 and sell it today you would lose (240.00) from holding Song Shang Electronics or give up 8.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Song Shang Electronics vs. Giant Manufacturing Co
Performance |
Timeline |
Song Shang Electronics |
Giant Manufacturing |
Song Shang and Giant Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Song Shang and Giant Manufacturing
The main advantage of trading using opposite Song Shang and Giant Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Song Shang position performs unexpectedly, Giant Manufacturing 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 Giant Manufacturing will offset losses from the drop in Giant Manufacturing's long position.Song Shang vs. ANJI Technology Co | Song Shang vs. Emerging Display Technologies | Song Shang vs. U Tech Media Corp | Song Shang vs. Ruentex Development Co |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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