Correlation Between Bitcoin and MARTIN

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

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

Diversification Opportunities for Bitcoin and MARTIN

-0.46

Correlation Coefficient

Bitcoin  MARTIN

Very good diversification

The 3 months correlation between Bitcoin and MARTIN is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and MARTIN MARIETTA MATLS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MARTIN MARIETTA MATLS 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 MARTIN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MARTIN MARIETTA MATLS has no effect on the direction of Bitcoin i.e., Bitcoin and MARTIN go up and down completely randomly.

Pair Corralation between Bitcoin and MARTIN

Assuming the 90 days trading horizon Bitcoin is expected to under-perform the MARTIN. In addition to that, Bitcoin is 1.84 times more volatile than MARTIN MARIETTA MATLS. It trades about -0.14 of its total potential returns per unit of risk. MARTIN MARIETTA MATLS is currently generating about -0.06 per unit of volatility. If you would invest  8,374  in MARTIN MARIETTA MATLS on October 12, 2024 and sell it today you would lose (86.00) from holding MARTIN MARIETTA MATLS or give up 1.03% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	57.14%
Values	Daily Returns

Bitcoin  vs.  MARTIN MARIETTA MATLS

Bitcoin

Risk-Adjusted Performance

13 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Bitcoin exhibited solid returns over the last few months and may actually be approaching a breakup point.

MARTIN MARIETTA MATLS

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MARTIN MARIETTA MATLS has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, MARTIN is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Bitcoin and MARTIN

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

The idea behind Bitcoin and MARTIN MARIETTA MATLS 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.