Correlation Between Palram and Matrix
Can any of the company-specific risk be diversified away by investing in both Palram and Matrix 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 Palram and Matrix into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Palram and Matrix, you can compare the effects of market volatilities on Palram and Matrix 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 Palram with a short position of Matrix. Check out your portfolio center. Please also check ongoing floating volatility patterns of Palram and Matrix.
Diversification Opportunities for Palram and Matrix
Very poor diversification
The 3 months correlation between Palram and Matrix is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Palram and Matrix in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matrix and Palram 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 Palram are associated (or correlated) with Matrix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matrix has no effect on the direction of Palram i.e., Palram and Matrix go up and down completely randomly.
Pair Corralation between Palram and Matrix
Assuming the 90 days trading horizon Palram is expected to generate 0.94 times more return on investment than Matrix. However, Palram is 1.06 times less risky than Matrix. It trades about 0.18 of its potential returns per unit of risk. Matrix is currently generating about 0.08 per unit of risk. If you would invest 805,500 in Palram on December 30, 2024 and sell it today you would earn a total of 122,000 from holding Palram or generate 15.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Palram vs. Matrix
Performance |
Timeline |
Palram |
Matrix |
Palram and Matrix Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Palram and Matrix
The main advantage of trading using opposite Palram and Matrix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palram position performs unexpectedly, Matrix 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 Matrix will offset losses from the drop in Matrix's long position.The idea behind Palram and Matrix 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.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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
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 | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |