Correlation Between FTX Token and MONA
Can any of the company-specific risk be diversified away by investing in both FTX Token and MONA 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 FTX Token and MONA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FTX Token and MONA, you can compare the effects of market volatilities on FTX Token and MONA 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 FTX Token with a short position of MONA. Check out your portfolio center. Please also check ongoing floating volatility patterns of FTX Token and MONA.
Diversification Opportunities for FTX Token and MONA
Modest diversification
The 3 months correlation between FTX and MONA is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding FTX Token and MONA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MONA and FTX Token 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 FTX Token are associated (or correlated) with MONA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MONA has no effect on the direction of FTX Token i.e., FTX Token and MONA go up and down completely randomly.
Pair Corralation between FTX Token and MONA
Assuming the 90 days trading horizon FTX Token is expected to generate 2.71 times more return on investment than MONA. However, FTX Token is 2.71 times more volatile than MONA. It trades about 0.01 of its potential returns per unit of risk. MONA is currently generating about 0.0 per unit of risk. If you would invest 2,482 in FTX Token on January 19, 2024 and sell it today you would lose (2,358) from holding FTX Token or give up 95.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
FTX Token vs. MONA
Performance |
Timeline |
FTX Token |
MONA |
FTX Token and MONA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FTX Token and MONA
The main advantage of trading using opposite FTX Token and MONA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FTX Token position performs unexpectedly, MONA 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 MONA will offset losses from the drop in MONA's long position.The idea behind FTX Token and MONA 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios |