Correlation Between Alfa Financial and Nanjing Panda
Can any of the company-specific risk be diversified away by investing in both Alfa Financial and Nanjing Panda 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 Alfa Financial and Nanjing Panda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Financial Software and Nanjing Panda Electronics, you can compare the effects of market volatilities on Alfa Financial and Nanjing Panda 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 Alfa Financial with a short position of Nanjing Panda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and Nanjing Panda.
Diversification Opportunities for Alfa Financial and Nanjing Panda
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alfa and Nanjing is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and Nanjing Panda Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nanjing Panda Electronics and Alfa Financial 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 Alfa Financial Software are associated (or correlated) with Nanjing Panda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nanjing Panda Electronics has no effect on the direction of Alfa Financial i.e., Alfa Financial and Nanjing Panda go up and down completely randomly.
Pair Corralation between Alfa Financial and Nanjing Panda
Assuming the 90 days trading horizon Alfa Financial Software is expected to under-perform the Nanjing Panda. But the stock apears to be less risky and, when comparing its historical volatility, Alfa Financial Software is 1.14 times less risky than Nanjing Panda. The stock trades about -0.01 of its potential returns per unit of risk. The Nanjing Panda Electronics is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 29.00 in Nanjing Panda Electronics on October 23, 2024 and sell it today you would earn a total of 4.00 from holding Nanjing Panda Electronics or generate 13.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.31% |
Values | Daily Returns |
Alfa Financial Software vs. Nanjing Panda Electronics
Performance |
Timeline |
Alfa Financial Software |
Nanjing Panda Electronics |
Alfa Financial and Nanjing Panda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and Nanjing Panda
The main advantage of trading using opposite Alfa Financial and Nanjing Panda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial position performs unexpectedly, Nanjing Panda 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 Nanjing Panda will offset losses from the drop in Nanjing Panda's long position.Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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