Correlation Between Bitkub Coin and Drift Protocol
Can any of the company-specific risk be diversified away by investing in both Bitkub Coin and Drift 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 Bitkub Coin and Drift Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitkub Coin and Drift protocol, you can compare the effects of market volatilities on Bitkub Coin and Drift 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 Bitkub Coin with a short position of Drift Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitkub Coin and Drift Protocol.
Diversification Opportunities for Bitkub Coin and Drift Protocol
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bitkub and Drift is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bitkub Coin and Drift protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Drift protocol and Bitkub Coin 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 Bitkub Coin are associated (or correlated) with Drift Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Drift protocol has no effect on the direction of Bitkub Coin i.e., Bitkub Coin and Drift Protocol go up and down completely randomly.
Pair Corralation between Bitkub Coin and Drift Protocol
Assuming the 90 days trading horizon Bitkub Coin is expected to generate 0.49 times more return on investment than Drift Protocol. However, Bitkub Coin is 2.04 times less risky than Drift Protocol. It trades about -0.09 of its potential returns per unit of risk. Drift protocol is currently generating about -0.18 per unit of risk. If you would invest 199.00 in Bitkub Coin on December 30, 2024 and sell it today you would lose (37.00) from holding Bitkub Coin or give up 18.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bitkub Coin vs. Drift protocol
Performance |
Timeline |
Bitkub Coin |
Drift protocol |
Bitkub Coin and Drift Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitkub Coin and Drift Protocol
The main advantage of trading using opposite Bitkub Coin and Drift Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitkub Coin position performs unexpectedly, Drift 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 Drift Protocol will offset losses from the drop in Drift Protocol's long position.Bitkub Coin vs. Staked Ether | Bitkub Coin vs. Phala Network | Bitkub Coin vs. EigenLayer | Bitkub Coin vs. EOSDAC |
Drift Protocol vs. Staked Ether | Drift Protocol vs. Phala Network | Drift Protocol vs. EigenLayer | Drift Protocol vs. EOSDAC |
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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |