Correlation Between Bitcoin and Guggenheim Multi-hedge
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Guggenheim Multi-hedge 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 Bitcoin and Guggenheim Multi-hedge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Guggenheim Multi Hedge Strategies, you can compare the effects of market volatilities on Bitcoin and Guggenheim Multi-hedge 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 Bitcoin with a short position of Guggenheim Multi-hedge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Guggenheim Multi-hedge.
Diversification Opportunities for Bitcoin and Guggenheim Multi-hedge
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bitcoin and Guggenheim is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Guggenheim Multi Hedge Strateg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Multi Hedge and 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 Bitcoin are associated (or correlated) with Guggenheim Multi-hedge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Multi Hedge has no effect on the direction of Bitcoin i.e., Bitcoin and Guggenheim Multi-hedge go up and down completely randomly.
Pair Corralation between Bitcoin and Guggenheim Multi-hedge
Assuming the 90 days trading horizon Bitcoin is expected to generate 3.53 times more return on investment than Guggenheim Multi-hedge. However, Bitcoin is 3.53 times more volatile than Guggenheim Multi Hedge Strategies. It trades about 0.11 of its potential returns per unit of risk. Guggenheim Multi Hedge Strategies is currently generating about -0.3 per unit of risk. If you would invest 9,665,788 in Bitcoin on October 9, 2024 and sell it today you would earn a total of 557,212 from holding Bitcoin or generate 5.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Bitcoin vs. Guggenheim Multi Hedge Strateg
Performance |
Timeline |
Bitcoin |
Guggenheim Multi Hedge |
Bitcoin and Guggenheim Multi-hedge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Guggenheim Multi-hedge
The main advantage of trading using opposite Bitcoin and Guggenheim Multi-hedge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Guggenheim Multi-hedge 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 Guggenheim Multi-hedge will offset losses from the drop in Guggenheim Multi-hedge's long position.The idea behind Bitcoin and Guggenheim Multi Hedge Strategies 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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