Correlation Between Shengda Mining and NBTM New
Specify exactly 2 symbols:
By analyzing existing cross correlation between Shengda Mining Co and NBTM New Materials, you can compare the effects of market volatilities on Shengda Mining and NBTM New 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 Shengda Mining with a short position of NBTM New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shengda Mining and NBTM New.
Diversification Opportunities for Shengda Mining and NBTM New
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Shengda and NBTM is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Shengda Mining Co and NBTM New Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NBTM New Materials and Shengda Mining 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 Shengda Mining Co are associated (or correlated) with NBTM New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NBTM New Materials has no effect on the direction of Shengda Mining i.e., Shengda Mining and NBTM New go up and down completely randomly.
Pair Corralation between Shengda Mining and NBTM New
Assuming the 90 days trading horizon Shengda Mining Co is expected to under-perform the NBTM New. But the stock apears to be less risky and, when comparing its historical volatility, Shengda Mining Co is 1.89 times less risky than NBTM New. The stock trades about -0.14 of its potential returns per unit of risk. The NBTM New Materials is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,557 in NBTM New Materials on September 27, 2024 and sell it today you would earn a total of 56.00 from holding NBTM New Materials or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Shengda Mining Co vs. NBTM New Materials
Performance |
Timeline |
Shengda Mining |
NBTM New Materials |
Shengda Mining and NBTM New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shengda Mining and NBTM New
The main advantage of trading using opposite Shengda Mining and NBTM New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shengda Mining position performs unexpectedly, NBTM New 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 NBTM New will offset losses from the drop in NBTM New's long position.Shengda Mining vs. Zijin Mining Group | Shengda Mining vs. Wanhua Chemical Group | Shengda Mining vs. Baoshan Iron Steel | Shengda Mining vs. Shandong Gold Mining |
NBTM New vs. China Life Insurance | NBTM New vs. Cinda Securities Co | NBTM New vs. Piotech Inc A | NBTM New vs. Dongxing Sec Co |
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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
CEOs Directory Screen CEOs from public companies around the world | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |