Correlation Between Charles Schwab and APPLIED MATERIALS
Can any of the company-specific risk be diversified away by investing in both Charles Schwab and APPLIED MATERIALS 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 Charles Schwab and APPLIED MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Charles Schwab and APPLIED MATERIALS, you can compare the effects of market volatilities on Charles Schwab and APPLIED MATERIALS 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 Charles Schwab with a short position of APPLIED MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charles Schwab and APPLIED MATERIALS.
Diversification Opportunities for Charles Schwab and APPLIED MATERIALS
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Charles and APPLIED is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding The Charles Schwab and APPLIED MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APPLIED MATERIALS and Charles Schwab 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 The Charles Schwab are associated (or correlated) with APPLIED MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of APPLIED MATERIALS has no effect on the direction of Charles Schwab i.e., Charles Schwab and APPLIED MATERIALS go up and down completely randomly.
Pair Corralation between Charles Schwab and APPLIED MATERIALS
Assuming the 90 days horizon The Charles Schwab is expected to generate 0.63 times more return on investment than APPLIED MATERIALS. However, The Charles Schwab is 1.58 times less risky than APPLIED MATERIALS. It trades about 0.04 of its potential returns per unit of risk. APPLIED MATERIALS is currently generating about -0.08 per unit of risk. If you would invest 7,100 in The Charles Schwab on December 30, 2024 and sell it today you would earn a total of 256.00 from holding The Charles Schwab or generate 3.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Charles Schwab vs. APPLIED MATERIALS
Performance |
Timeline |
Charles Schwab |
APPLIED MATERIALS |
Charles Schwab and APPLIED MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charles Schwab and APPLIED MATERIALS
The main advantage of trading using opposite Charles Schwab and APPLIED MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charles Schwab position performs unexpectedly, APPLIED MATERIALS 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 APPLIED MATERIALS will offset losses from the drop in APPLIED MATERIALS's long position.Charles Schwab vs. China Medical System | Charles Schwab vs. HANOVER INSURANCE | Charles Schwab vs. Japan Medical Dynamic | Charles Schwab vs. Universal Insurance Holdings |
APPLIED MATERIALS vs. PennyMac Mortgage Investment | APPLIED MATERIALS vs. JLF INVESTMENT | APPLIED MATERIALS vs. NORTHEAST UTILITIES | APPLIED MATERIALS vs. Harmony Gold Mining |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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