Correlation Between Sartorius Stedim and ANGANG STEEL
Can any of the company-specific risk be diversified away by investing in both Sartorius Stedim and ANGANG STEEL 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 Sartorius Stedim and ANGANG STEEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sartorius Stedim Biotech and ANGANG STEEL H , you can compare the effects of market volatilities on Sartorius Stedim and ANGANG STEEL 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 Sartorius Stedim with a short position of ANGANG STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sartorius Stedim and ANGANG STEEL.
Diversification Opportunities for Sartorius Stedim and ANGANG STEEL
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sartorius and ANGANG is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Sartorius Stedim Biotech and ANGANG STEEL H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANGANG STEEL H and Sartorius Stedim 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 Sartorius Stedim Biotech are associated (or correlated) with ANGANG STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANGANG STEEL H has no effect on the direction of Sartorius Stedim i.e., Sartorius Stedim and ANGANG STEEL go up and down completely randomly.
Pair Corralation between Sartorius Stedim and ANGANG STEEL
Assuming the 90 days trading horizon Sartorius Stedim is expected to generate 3.99 times less return on investment than ANGANG STEEL. But when comparing it to its historical volatility, Sartorius Stedim Biotech is 1.36 times less risky than ANGANG STEEL. It trades about 0.04 of its potential returns per unit of risk. ANGANG STEEL H is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 18.00 in ANGANG STEEL H on December 23, 2024 and sell it today you would earn a total of 4.00 from holding ANGANG STEEL H or generate 22.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sartorius Stedim Biotech vs. ANGANG STEEL H
Performance |
Timeline |
Sartorius Stedim Biotech |
Risk-Adjusted Performance
Weak
Weak | Strong |
ANGANG STEEL H |
Sartorius Stedim and ANGANG STEEL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sartorius Stedim and ANGANG STEEL
The main advantage of trading using opposite Sartorius Stedim and ANGANG STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sartorius Stedim position performs unexpectedly, ANGANG STEEL 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 ANGANG STEEL will offset losses from the drop in ANGANG STEEL's long position.Sartorius Stedim vs. SUN ART RETAIL | Sartorius Stedim vs. BOVIS HOMES GROUP | Sartorius Stedim vs. Globe Trade Centre | Sartorius Stedim vs. American Homes 4 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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