Correlation Between Bitcoin and Beck Mack

Can any of the company-specific risk be diversified away by investing in both Bitcoin and Beck Mack 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 Beck Mack into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Bitcoin and Beck Mack Oliver, you can compare the effects of market volatilities on Bitcoin and Beck Mack 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 Beck Mack. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Beck Mack.

Diversification Opportunities for Bitcoin and Beck Mack

0.8

Correlation Coefficient

Bitcoin  Beck Mack

Very poor diversification

The 3 months correlation between Bitcoin and Beck is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Beck Mack Oliver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beck Mack Oliver 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 Beck Mack. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beck Mack Oliver has no effect on the direction of Bitcoin i.e., Bitcoin and Beck Mack go up and down completely randomly.

Pair Corralation between Bitcoin and Beck Mack

Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Beck Mack. In addition to that, Bitcoin is 2.35 times more volatile than Beck Mack Oliver. It trades about -0.07 of its total potential returns per unit of risk. Beck Mack Oliver is currently generating about -0.11 per unit of volatility. If you would invest  2,687  in Beck Mack Oliver on December 21, 2024 and sell it today you would lose (180.00) from holding Beck Mack Oliver or give up 6.7% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	93.65%
Values	Daily Returns

Bitcoin  vs.  Beck Mack Oliver

Bitcoin

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bitcoin has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Bitcoin shareholders.

Beck Mack Oliver

Risk-Adjusted Performance

Very Weak

Over the last 90 days Beck Mack Oliver has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's technical and fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Bitcoin and Beck Mack

The main advantage of trading using opposite Bitcoin and Beck Mack positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Beck Mack 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 Beck Mack will offset losses from the drop in Beck Mack's long position.

The idea behind Bitcoin and Beck Mack Oliver 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.

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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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.