Correlation Between NEOS ETF and Schwab Dividend
Can any of the company-specific risk be diversified away by investing in both NEOS ETF and Schwab Dividend 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 NEOS ETF and Schwab Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEOS ETF Trust and Schwab Dividend Equity, you can compare the effects of market volatilities on NEOS ETF and Schwab Dividend 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 NEOS ETF with a short position of Schwab Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEOS ETF and Schwab Dividend.
Diversification Opportunities for NEOS ETF and Schwab Dividend
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between NEOS and Schwab is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding NEOS ETF Trust and Schwab Dividend Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schwab Dividend Equity and NEOS ETF 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 NEOS ETF Trust are associated (or correlated) with Schwab Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schwab Dividend Equity has no effect on the direction of NEOS ETF i.e., NEOS ETF and Schwab Dividend go up and down completely randomly.
Pair Corralation between NEOS ETF and Schwab Dividend
Given the investment horizon of 90 days NEOS ETF Trust is expected to generate 16.75 times more return on investment than Schwab Dividend. However, NEOS ETF is 16.75 times more volatile than Schwab Dividend Equity. It trades about 0.13 of its potential returns per unit of risk. Schwab Dividend Equity is currently generating about 0.07 per unit of risk. If you would invest 2,597 in NEOS ETF Trust on December 28, 2024 and sell it today you would earn a total of 2,401 from holding NEOS ETF Trust or generate 92.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 91.67% |
Values | Daily Returns |
NEOS ETF Trust vs. Schwab Dividend Equity
Performance |
Timeline |
NEOS ETF Trust |
Risk-Adjusted Performance
OK
Weak | Strong |
Schwab Dividend Equity |
NEOS ETF and Schwab Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NEOS ETF and Schwab Dividend
The main advantage of trading using opposite NEOS ETF and Schwab Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEOS ETF position performs unexpectedly, Schwab Dividend 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 Schwab Dividend will offset losses from the drop in Schwab Dividend's long position.NEOS ETF vs. Global X Russell | NEOS ETF vs. Global X SP | NEOS ETF vs. Global X NASDAQ | NEOS ETF vs. Amplify CWP Enhanced |
Schwab Dividend vs. Vanguard High Dividend | Schwab Dividend vs. JPMorgan Equity Premium | Schwab Dividend vs. Vanguard Dividend Appreciation | Schwab Dividend vs. iShares Core Dividend |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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