Correlation Between DATA and EM
Can any of the company-specific risk be diversified away by investing in both DATA and EM 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 DATA and EM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and EM, you can compare the effects of market volatilities on DATA and EM 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 DATA with a short position of EM. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and EM.
Diversification Opportunities for DATA and EM
Pay attention - limited upside
The 3 months correlation between DATA and EM is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DATA and EM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EM and DATA 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 DATA are associated (or correlated) with EM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EM has no effect on the direction of DATA i.e., DATA and EM go up and down completely randomly.
Pair Corralation between DATA and EM
Assuming the 90 days trading horizon DATA is expected to generate 0.73 times more return on investment than EM. However, DATA is 1.37 times less risky than EM. It trades about -0.01 of its potential returns per unit of risk. EM is currently generating about -0.08 per unit of risk. If you would invest 6.49 in DATA on September 1, 2024 and sell it today you would lose (1.80) from holding DATA or give up 27.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DATA vs. EM
Performance |
Timeline |
DATA |
EM |
DATA and EM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATA and EM
The main advantage of trading using opposite DATA and EM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, EM 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 EM will offset losses from the drop in EM's long position.The idea behind DATA and EM 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |