Correlation Between Lumia and Frontier Markets
Can any of the company-specific risk be diversified away by investing in both Lumia and Frontier Markets 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 Lumia and Frontier Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumia and Frontier Markets Portfolio, you can compare the effects of market volatilities on Lumia and Frontier Markets 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 Lumia with a short position of Frontier Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumia and Frontier Markets.
Diversification Opportunities for Lumia and Frontier Markets
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lumia and Frontier is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Lumia and Frontier Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Frontier Markets Por and Lumia 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 Lumia are associated (or correlated) with Frontier Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Frontier Markets Por has no effect on the direction of Lumia i.e., Lumia and Frontier Markets go up and down completely randomly.
Pair Corralation between Lumia and Frontier Markets
Assuming the 90 days trading horizon Lumia is expected to generate 227.98 times more return on investment than Frontier Markets. However, Lumia is 227.98 times more volatile than Frontier Markets Portfolio. It trades about 0.21 of its potential returns per unit of risk. Frontier Markets Portfolio is currently generating about -0.21 per unit of risk. If you would invest 0.00 in Lumia on October 10, 2024 and sell it today you would earn a total of 128.00 from holding Lumia or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Lumia vs. Frontier Markets Portfolio
Performance |
Timeline |
Lumia |
Frontier Markets Por |
Lumia and Frontier Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumia and Frontier Markets
The main advantage of trading using opposite Lumia and Frontier Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumia position performs unexpectedly, Frontier Markets 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 Frontier Markets will offset losses from the drop in Frontier Markets' long position.The idea behind Lumia and Frontier Markets Portfolio 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.Frontier Markets vs. Emerging Markets Equity | Frontier Markets vs. Global Fixed Income | Frontier Markets vs. Global Fixed Income | Frontier Markets vs. Global Fixed Income |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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