Correlation Between FT Cboe and JPMorgan Equity
Can any of the company-specific risk be diversified away by investing in both FT Cboe and JPMorgan Equity 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 FT Cboe and JPMorgan Equity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and JPMorgan Equity Premium, you can compare the effects of market volatilities on FT Cboe and JPMorgan Equity 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 FT Cboe with a short position of JPMorgan Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and JPMorgan Equity.
Diversification Opportunities for FT Cboe and JPMorgan Equity
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KNG and JPMorgan is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and JPMorgan Equity Premium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Equity Premium and FT Cboe 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 FT Cboe Vest are associated (or correlated) with JPMorgan Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Equity Premium has no effect on the direction of FT Cboe i.e., FT Cboe and JPMorgan Equity go up and down completely randomly.
Pair Corralation between FT Cboe and JPMorgan Equity
Considering the 90-day investment horizon FT Cboe is expected to generate 1.32 times less return on investment than JPMorgan Equity. In addition to that, FT Cboe is 1.06 times more volatile than JPMorgan Equity Premium. It trades about 0.21 of its total potential returns per unit of risk. JPMorgan Equity Premium is currently generating about 0.29 per unit of volatility. If you would invest 5,886 in JPMorgan Equity Premium on August 30, 2024 and sell it today you would earn a total of 183.00 from holding JPMorgan Equity Premium or generate 3.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FT Cboe Vest vs. JPMorgan Equity Premium
Performance |
Timeline |
FT Cboe Vest |
JPMorgan Equity Premium |
FT Cboe and JPMorgan Equity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FT Cboe and JPMorgan Equity
The main advantage of trading using opposite FT Cboe and JPMorgan Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, JPMorgan Equity 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 JPMorgan Equity will offset losses from the drop in JPMorgan Equity's long position.FT Cboe vs. Global X SP | FT Cboe vs. Global X Nasdaq | FT Cboe vs. First Trust BuyWrite | FT Cboe vs. Amplify CWP Enhanced |
JPMorgan Equity vs. JPMorgan Nasdaq Equity | JPMorgan Equity vs. Global X NASDAQ | JPMorgan Equity vs. Schwab Dividend Equity | JPMorgan Equity vs. Global X Russell |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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