Correlation Between Citigroup and Hithink RoyalFlush
Specify exactly 2 symbols:
By analyzing existing cross correlation between Citigroup and Hithink RoyalFlush Info, you can compare the effects of market volatilities on Citigroup and Hithink RoyalFlush 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 Citigroup with a short position of Hithink RoyalFlush. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Hithink RoyalFlush.
Diversification Opportunities for Citigroup and Hithink RoyalFlush
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Citigroup and Hithink is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Hithink RoyalFlush Info in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hithink RoyalFlush Info and Citigroup 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 Citigroup are associated (or correlated) with Hithink RoyalFlush. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hithink RoyalFlush Info has no effect on the direction of Citigroup i.e., Citigroup and Hithink RoyalFlush go up and down completely randomly.
Pair Corralation between Citigroup and Hithink RoyalFlush
Taking into account the 90-day investment horizon Citigroup is expected to generate 9.36 times less return on investment than Hithink RoyalFlush. But when comparing it to its historical volatility, Citigroup is 3.95 times less risky than Hithink RoyalFlush. It trades about 0.13 of its potential returns per unit of risk. Hithink RoyalFlush Info is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 10,016 in Hithink RoyalFlush Info on September 3, 2024 and sell it today you would earn a total of 23,551 from holding Hithink RoyalFlush Info or generate 235.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 90.63% |
Values | Daily Returns |
Citigroup vs. Hithink RoyalFlush Info
Performance |
Timeline |
Citigroup |
Hithink RoyalFlush Info |
Citigroup and Hithink RoyalFlush Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Hithink RoyalFlush
The main advantage of trading using opposite Citigroup and Hithink RoyalFlush positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Hithink RoyalFlush 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 Hithink RoyalFlush will offset losses from the drop in Hithink RoyalFlush's long position.Citigroup vs. JPMorgan Chase Co | Citigroup vs. Wells Fargo | Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Other Complementary Tools
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 | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |