Correlation Between Big Time and FXP
Specify exactly 2 symbols:
By analyzing existing cross correlation between Big Time and FXP, you can compare the effects of market volatilities on Big Time and FXP 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 Big Time with a short position of FXP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Big Time and FXP.
Diversification Opportunities for Big Time and FXP
Pay attention - limited upside
The 3 months correlation between Big and FXP is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Big Time and FXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FXP and Big Time 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 Big Time are associated (or correlated) with FXP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FXP has no effect on the direction of Big Time i.e., Big Time and FXP go up and down completely randomly.
Pair Corralation between Big Time and FXP
If you would invest 6.96 in Big Time on August 30, 2024 and sell it today you would earn a total of 9.04 from holding Big Time or generate 129.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 1.56% |
Values | Daily Returns |
Big Time vs. FXP
Performance |
Timeline |
Big Time |
FXP |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Big Time and FXP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Big Time and FXP
The main advantage of trading using opposite Big Time and FXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Time position performs unexpectedly, FXP 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 FXP will offset losses from the drop in FXP's long position.The idea behind Big Time and FXP 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories |