Correlation Between Bitcoin and OCUP Old
Can any of the company-specific risk be diversified away by investing in both Bitcoin and OCUP Old 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 OCUP Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and OCUP Old, you can compare the effects of market volatilities on Bitcoin and OCUP Old 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 OCUP Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and OCUP Old.
Diversification Opportunities for Bitcoin and OCUP Old
Excellent diversification
The 3 months correlation between Bitcoin and OCUP is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and OCUP Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OCUP Old 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 OCUP Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OCUP Old has no effect on the direction of Bitcoin i.e., Bitcoin and OCUP Old go up and down completely randomly.
Pair Corralation between Bitcoin and OCUP Old
Assuming the 90 days trading horizon Bitcoin is expected to generate 0.85 times more return on investment than OCUP Old. However, Bitcoin is 1.17 times less risky than OCUP Old. It trades about 0.27 of its potential returns per unit of risk. OCUP Old is currently generating about -0.21 per unit of risk. If you would invest 6,028,038 in Bitcoin on October 9, 2024 and sell it today you would earn a total of 4,194,962 from holding Bitcoin or generate 69.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 20.63% |
Values | Daily Returns |
Bitcoin vs. OCUP Old
Performance |
Timeline |
Bitcoin |
OCUP Old |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bitcoin and OCUP Old Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and OCUP Old
The main advantage of trading using opposite Bitcoin and OCUP Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, OCUP Old 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 OCUP Old will offset losses from the drop in OCUP Old's long position.The idea behind Bitcoin and OCUP Old 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.OCUP Old vs. Reviva Pharmaceuticals Holdings | OCUP Old vs. Protalix Biotherapeutics | OCUP Old vs. Eyepoint Pharmaceuticals | OCUP Old vs. Sellas Life Sciences |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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