Correlation Between Bitcoin and AMERICAN POTASH
Can any of the company-specific risk be diversified away by investing in both Bitcoin and AMERICAN POTASH 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 POTASH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and AMERICAN POTASH P, you can compare the effects of market volatilities on Bitcoin and AMERICAN POTASH 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 POTASH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and AMERICAN POTASH.
Diversification Opportunities for Bitcoin and AMERICAN POTASH
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bitcoin and AMERICAN is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and AMERICAN POTASH P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMERICAN POTASH P 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 POTASH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMERICAN POTASH P has no effect on the direction of Bitcoin i.e., Bitcoin and AMERICAN POTASH go up and down completely randomly.
Pair Corralation between Bitcoin and AMERICAN POTASH
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the AMERICAN POTASH. But the crypto coin apears to be less risky and, when comparing its historical volatility, Bitcoin is 4.61 times less risky than AMERICAN POTASH. The crypto coin trades about -0.25 of its potential returns per unit of risk. The AMERICAN POTASH P is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 11.00 in AMERICAN POTASH P on October 15, 2024 and sell it today you would earn a total of 2.00 from holding AMERICAN POTASH P or generate 18.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 75.0% |
| Values | Daily Returns |
Bitcoin vs. AMERICAN POTASH P
Performance |
| Timeline |
| Bitcoin |
| AMERICAN POTASH P |
Bitcoin and AMERICAN POTASH Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitcoin and AMERICAN POTASH
The main advantage of trading using opposite Bitcoin and AMERICAN POTASH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, AMERICAN POTASH 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 POTASH will offset losses from the drop in AMERICAN POTASH's long position.The idea behind Bitcoin and AMERICAN POTASH P 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 POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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