Correlation Between MONA and Bitcoin

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both MONA and Bitcoin 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 MONA and Bitcoin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MONA and Bitcoin, you can compare the effects of market volatilities on MONA and Bitcoin 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 MONA with a short position of Bitcoin. Check out your portfolio center. Please also check ongoing floating volatility patterns of MONA and Bitcoin.

Diversification Opportunities for MONA and Bitcoin

0.73
  Correlation Coefficient

Poor diversification

The 3 months correlation between MONA and Bitcoin is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding MONA and Bitcoin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin and MONA 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 MONA are associated (or correlated) with Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin has no effect on the direction of MONA i.e., MONA and Bitcoin go up and down completely randomly.

Pair Corralation between MONA and Bitcoin

Assuming the 90 days trading horizon MONA is expected to under-perform the Bitcoin. In addition to that, MONA is 1.41 times more volatile than Bitcoin. It trades about -0.2 of its total potential returns per unit of risk. Bitcoin is currently generating about -0.06 per unit of volatility. If you would invest  6,943,446  in Bitcoin on January 26, 2024 and sell it today you would lose (311,709) from holding Bitcoin or give up 4.49% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

MONA  vs.  Bitcoin

 Performance 
       Timeline  
MONA 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in MONA are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, MONA may actually be approaching a critical reversion point that can send shares even higher in May 2024.
Bitcoin 

Risk-Adjusted Performance

17 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin are ranked lower than 17 (%) 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.

MONA and Bitcoin Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MONA and Bitcoin

The main advantage of trading using opposite MONA and Bitcoin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MONA position performs unexpectedly, Bitcoin 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 Bitcoin will offset losses from the drop in Bitcoin's long position.
The idea behind MONA and Bitcoin 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.
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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

Other Complementary Tools

Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges