Correlation Between NEOS ETF and SHP ETF
Can any of the company-specific risk be diversified away by investing in both NEOS ETF and SHP ETF 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 SHP ETF 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 SHP ETF Trust, you can compare the effects of market volatilities on NEOS ETF and SHP ETF 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 SHP ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEOS ETF and SHP ETF.
Diversification Opportunities for NEOS ETF and SHP ETF
Almost no diversification
The 3 months correlation between NEOS and SHP is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding NEOS ETF Trust and SHP ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SHP ETF Trust 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 SHP ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SHP ETF Trust has no effect on the direction of NEOS ETF i.e., NEOS ETF and SHP ETF go up and down completely randomly.
Pair Corralation between NEOS ETF and SHP ETF
Given the investment horizon of 90 days NEOS ETF Trust is expected to generate 1.27 times more return on investment than SHP ETF. However, NEOS ETF is 1.27 times more volatile than SHP ETF Trust. It trades about 0.12 of its potential returns per unit of risk. SHP ETF Trust is currently generating about 0.11 per unit of risk. If you would invest 1,630 in NEOS ETF Trust on August 26, 2024 and sell it today you would earn a total of 964.00 from holding NEOS ETF Trust or generate 59.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
NEOS ETF Trust vs. SHP ETF Trust
Performance |
| Timeline |
| NEOS ETF Trust |
| SHP ETF Trust |
NEOS ETF and SHP ETF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NEOS ETF and SHP ETF
The main advantage of trading using opposite NEOS ETF and SHP ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEOS ETF position performs unexpectedly, SHP ETF 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 SHP ETF will offset losses from the drop in SHP ETF's long position.The idea behind NEOS ETF Trust and SHP ETF Trust pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| SHP ETF vs. iShares Trust | SHP ETF vs. Simplify Volatility Premium | SHP ETF vs. Tidal Trust II | SHP ETF vs. SHP ETF Trust |
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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