Correlation Between Bitcoin and American Funds
Can any of the company-specific risk be diversified away by investing in both Bitcoin and American Funds 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 American Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and American Funds Emerging, you can compare the effects of market volatilities on Bitcoin and American Funds 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 American Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and American Funds.
Diversification Opportunities for Bitcoin and American Funds
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bitcoin and American is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and American Funds Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Funds Emerging 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 American Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Funds Emerging has no effect on the direction of Bitcoin i.e., Bitcoin and American Funds go up and down completely randomly.
Pair Corralation between Bitcoin and American Funds
Assuming the 90 days trading horizon Bitcoin is expected to generate 8.55 times more return on investment than American Funds. However, Bitcoin is 8.55 times more volatile than American Funds Emerging. It trades about 0.12 of its potential returns per unit of risk. American Funds Emerging is currently generating about -0.38 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 | 95.0% |
Values | Daily Returns |
Bitcoin vs. American Funds Emerging
Performance |
Timeline |
Bitcoin |
American Funds Emerging |
Bitcoin and American Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and American Funds
The main advantage of trading using opposite Bitcoin and American Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, American Funds 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 American Funds will offset losses from the drop in American Funds' long position.The idea behind Bitcoin and American Funds Emerging 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.American Funds vs. Tiaa Cref Small Cap Blend | American Funds vs. Northern Small Cap | American Funds vs. Schwab Small Cap Index | American Funds vs. Tax Managed Mid Small |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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