Correlation Between Wrapped Bitcoin and LOOM
Can any of the company-specific risk be diversified away by investing in both Wrapped Bitcoin and LOOM 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 Wrapped Bitcoin and LOOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wrapped Bitcoin and LOOM, you can compare the effects of market volatilities on Wrapped Bitcoin and LOOM 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 Wrapped Bitcoin with a short position of LOOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wrapped Bitcoin and LOOM.
Diversification Opportunities for Wrapped Bitcoin and LOOM
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wrapped and LOOM is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Wrapped Bitcoin and LOOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LOOM and Wrapped Bitcoin 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 Wrapped Bitcoin are associated (or correlated) with LOOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LOOM has no effect on the direction of Wrapped Bitcoin i.e., Wrapped Bitcoin and LOOM go up and down completely randomly.
Pair Corralation between Wrapped Bitcoin and LOOM
Assuming the 90 days trading horizon Wrapped Bitcoin is expected to generate 1.51 times less return on investment than LOOM. But when comparing it to its historical volatility, Wrapped Bitcoin is 2.3 times less risky than LOOM. It trades about 0.24 of its potential returns per unit of risk. LOOM is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 4.42 in LOOM on August 30, 2024 and sell it today you would earn a total of 3.75 from holding LOOM or generate 84.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Wrapped Bitcoin vs. LOOM
Performance |
Timeline |
Wrapped Bitcoin |
LOOM |
Wrapped Bitcoin and LOOM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wrapped Bitcoin and LOOM
The main advantage of trading using opposite Wrapped Bitcoin and LOOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wrapped Bitcoin position performs unexpectedly, LOOM 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 LOOM will offset losses from the drop in LOOM's long position.Wrapped Bitcoin vs. XRP | Wrapped Bitcoin vs. Solana | Wrapped Bitcoin vs. Staked Ether | Wrapped Bitcoin vs. Sui |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |