Correlation Between Citigroup and Datametrex
Can any of the company-specific risk be diversified away by investing in both Citigroup and Datametrex 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 Citigroup and Datametrex into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and Datametrex AI Limited, you can compare the effects of market volatilities on Citigroup and Datametrex 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 Datametrex. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and Datametrex.
Diversification Opportunities for Citigroup and Datametrex
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Citigroup and Datametrex is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and Datametrex AI Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datametrex AI Limited 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 Datametrex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datametrex AI Limited has no effect on the direction of Citigroup i.e., Citigroup and Datametrex go up and down completely randomly.
Pair Corralation between Citigroup and Datametrex
Taking into account the 90-day investment horizon Citigroup is expected to under-perform the Datametrex. But the stock apears to be less risky and, when comparing its historical volatility, Citigroup is 97.38 times less risky than Datametrex. The stock trades about -0.03 of its potential returns per unit of risk. The Datametrex AI Limited is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 0.26 in Datametrex AI Limited on September 23, 2024 and sell it today you would earn a total of 0.24 from holding Datametrex AI Limited or generate 92.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Citigroup vs. Datametrex AI Limited
Performance |
Timeline |
Citigroup |
Datametrex AI Limited |
Citigroup and Datametrex Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and Datametrex
The main advantage of trading using opposite Citigroup and Datametrex positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, Datametrex 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 Datametrex will offset losses from the drop in Datametrex's long position.Citigroup vs. Toronto Dominion Bank | Citigroup vs. Nu Holdings | Citigroup vs. Canadian Imperial Bank | Citigroup vs. Bank of Montreal |
Datametrex vs. Accenture plc | Datametrex vs. International Business Machines | Datametrex vs. Infosys Limited | Datametrex vs. Cognizant Technology Solutions |
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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |