Correlation Between KuCoin Token and Origin Protocol
Can any of the company-specific risk be diversified away by investing in both KuCoin Token and Origin Protocol 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 KuCoin Token and Origin Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KuCoin Token and Origin Protocol, you can compare the effects of market volatilities on KuCoin Token and Origin Protocol 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 KuCoin Token with a short position of Origin Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of KuCoin Token and Origin Protocol.
Diversification Opportunities for KuCoin Token and Origin Protocol
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KuCoin and Origin is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding KuCoin Token and Origin Protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin Protocol and KuCoin Token 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 KuCoin Token are associated (or correlated) with Origin Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Origin Protocol has no effect on the direction of KuCoin Token i.e., KuCoin Token and Origin Protocol go up and down completely randomly.
Pair Corralation between KuCoin Token and Origin Protocol
Assuming the 90 days trading horizon KuCoin Token is expected to under-perform the Origin Protocol. But the crypto coin apears to be less risky and, when comparing its historical volatility, KuCoin Token is 1.42 times less risky than Origin Protocol. The crypto coin trades about -0.17 of its potential returns per unit of risk. The Origin Protocol is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 22.00 in Origin Protocol on January 25, 2024 and sell it today you would lose (5.00) from holding Origin Protocol or give up 22.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KuCoin Token vs. Origin Protocol
Performance |
Timeline |
KuCoin Token |
Origin Protocol |
KuCoin Token and Origin Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KuCoin Token and Origin Protocol
The main advantage of trading using opposite KuCoin Token and Origin Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KuCoin Token position performs unexpectedly, Origin Protocol 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 Origin Protocol will offset losses from the drop in Origin Protocol's long position.KuCoin Token vs. Solana | KuCoin Token vs. XRP | KuCoin Token vs. Staked Ether | KuCoin Token vs. The Open Network |
Origin Protocol vs. Solana | Origin Protocol vs. XRP | Origin Protocol vs. Staked Ether | Origin Protocol 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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