Correlation Between Staked Ether and HOT
Can any of the company-specific risk be diversified away by investing in both Staked Ether and HOT 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 Staked Ether and HOT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Staked Ether and HOT, you can compare the effects of market volatilities on Staked Ether and HOT 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 Staked Ether with a short position of HOT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Staked Ether and HOT.
Diversification Opportunities for Staked Ether and HOT
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Staked and HOT is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Staked Ether and HOT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HOT and Staked Ether 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 Staked Ether are associated (or correlated) with HOT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HOT has no effect on the direction of Staked Ether i.e., Staked Ether and HOT go up and down completely randomly.
Pair Corralation between Staked Ether and HOT
Assuming the 90 days trading horizon Staked Ether is expected to under-perform the HOT. But the crypto coin apears to be less risky and, when comparing its historical volatility, Staked Ether is 1.51 times less risky than HOT. The crypto coin trades about 0.0 of its potential returns per unit of risk. The HOT is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 0.24 in HOT on August 27, 2024 and sell it today you would lose 0.00 from holding HOT or give up 1.83% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Staked Ether vs. HOT
Performance |
| Timeline |
| Staked Ether |
| HOT |
Staked Ether and HOT Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Staked Ether and HOT
The main advantage of trading using opposite Staked Ether and HOT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Staked Ether position performs unexpectedly, HOT 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 HOT will offset losses from the drop in HOT's long position.The idea behind Staked Ether and HOT 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.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| 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 |