Correlation Between IPC MEXICO and Nokia
Can any of the company-specific risk be diversified away by investing in both IPC MEXICO and Nokia 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 IPC MEXICO and Nokia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPC MEXICO and Nokia, you can compare the effects of market volatilities on IPC MEXICO and Nokia 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 IPC MEXICO with a short position of Nokia. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPC MEXICO and Nokia.
Diversification Opportunities for IPC MEXICO and Nokia
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between IPC and Nokia is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding IPC MEXICO and Nokia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nokia and IPC MEXICO 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 IPC MEXICO are associated (or correlated) with Nokia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nokia has no effect on the direction of IPC MEXICO i.e., IPC MEXICO and Nokia go up and down completely randomly.
Pair Corralation between IPC MEXICO and Nokia
Assuming the 90 days trading horizon IPC MEXICO is expected to under-perform the Nokia. But the index apears to be less risky and, when comparing its historical volatility, IPC MEXICO is 2.62 times less risky than Nokia. The index trades about -0.01 of its potential returns per unit of risk. The Nokia is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 8,600 in Nokia on September 24, 2024 and sell it today you would earn a total of 900.00 from holding Nokia or generate 10.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
IPC MEXICO vs. Nokia
Performance |
Timeline |
IPC MEXICO and Nokia Volatility Contrast
Predicted Return Density |
Returns |
IPC MEXICO
Pair trading matchups for IPC MEXICO
Nokia
Pair trading matchups for Nokia
Pair Trading with IPC MEXICO and Nokia
The main advantage of trading using opposite IPC MEXICO and Nokia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPC MEXICO position performs unexpectedly, Nokia 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 Nokia will offset losses from the drop in Nokia's long position.IPC MEXICO vs. DXC Technology | IPC MEXICO vs. United States Steel | IPC MEXICO vs. FibraHotel | IPC MEXICO vs. Hoteles City Express |
Nokia vs. Cisco Systems | Nokia vs. UTStarcom Holdings Corp | Nokia vs. Capital One Financial | Nokia vs. Monster Beverage Corp |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Stocks Directory Find actively traded stocks across global markets | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |