Correlation Between Big Time and Kusama
Specify exactly 2 symbols:
By analyzing existing cross correlation between Big Time and Kusama, you can compare the effects of market volatilities on Big Time and Kusama 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 Kusama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Big Time and Kusama.
Diversification Opportunities for Big Time and Kusama
Almost no diversification
The 3 months correlation between Big and Kusama is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Big Time and Kusama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kusama 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 Kusama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kusama has no effect on the direction of Big Time i.e., Big Time and Kusama go up and down completely randomly.
Pair Corralation between Big Time and Kusama
Assuming the 90 days trading horizon Big Time is expected to under-perform the Kusama. In addition to that, Big Time is 1.21 times more volatile than Kusama. It trades about -0.14 of its total potential returns per unit of risk. Kusama is currently generating about -0.11 per unit of volatility. If you would invest 3,678 in Kusama on November 27, 2024 and sell it today you would lose (1,722) from holding Kusama or give up 46.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Big Time vs. Kusama
Performance |
Timeline |
Big Time |
Kusama |
Big Time and Kusama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Big Time and Kusama
The main advantage of trading using opposite Big Time and Kusama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Time position performs unexpectedly, Kusama 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 Kusama will offset losses from the drop in Kusama's long position.The idea behind Big Time and Kusama 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Complementary Tools
Global Correlations Find global opportunities by holding instruments from different markets | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |