Correlation Between KMD and Gatechain Token
Can any of the company-specific risk be diversified away by investing in both KMD and Gatechain Token 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 KMD and Gatechain Token into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KMD and Gatechain Token, you can compare the effects of market volatilities on KMD and Gatechain Token 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 KMD with a short position of Gatechain Token. Check out your portfolio center. Please also check ongoing floating volatility patterns of KMD and Gatechain Token.
Diversification Opportunities for KMD and Gatechain Token
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between KMD and Gatechain is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding KMD and Gatechain Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gatechain Token and KMD 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 KMD are associated (or correlated) with Gatechain Token. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gatechain Token has no effect on the direction of KMD i.e., KMD and Gatechain Token go up and down completely randomly.
Pair Corralation between KMD and Gatechain Token
Assuming the 90 days trading horizon KMD is expected to generate 2.12 times more return on investment than Gatechain Token. However, KMD is 2.12 times more volatile than Gatechain Token. It trades about 0.11 of its potential returns per unit of risk. Gatechain Token is currently generating about -0.1 per unit of risk. If you would invest 40.00 in KMD on January 25, 2024 and sell it today you would earn a total of 6.00 from holding KMD or generate 15.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
KMD vs. Gatechain Token
Performance |
| Timeline |
| KMD |
| Gatechain Token |
KMD and Gatechain Token Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KMD and Gatechain Token
The main advantage of trading using opposite KMD and Gatechain Token positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KMD position performs unexpectedly, Gatechain Token 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 Gatechain Token will offset losses from the drop in Gatechain Token's long position.The idea behind KMD and Gatechain Token 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.| Gatechain Token vs. Solana | Gatechain Token vs. XRP | Gatechain Token vs. Staked Ether | Gatechain Token vs. The Open Network |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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