Correlation Between Algorand and Jenn Feng
Can any of the company-specific risk be diversified away by investing in both Algorand and Jenn Feng 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 Algorand and Jenn Feng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Jenn Feng New, you can compare the effects of market volatilities on Algorand and Jenn Feng 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 Algorand with a short position of Jenn Feng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Jenn Feng.
Diversification Opportunities for Algorand and Jenn Feng
Very weak diversification
The 3 months correlation between Algorand and Jenn is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Jenn Feng New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jenn Feng New and Algorand 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 Algorand are associated (or correlated) with Jenn Feng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jenn Feng New has no effect on the direction of Algorand i.e., Algorand and Jenn Feng go up and down completely randomly.
Pair Corralation between Algorand and Jenn Feng
Assuming the 90 days trading horizon Algorand is expected to generate 16.44 times less return on investment than Jenn Feng. But when comparing it to its historical volatility, Algorand is 1.84 times less risky than Jenn Feng. It trades about 0.02 of its potential returns per unit of risk. Jenn Feng New is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,740 in Jenn Feng New on October 9, 2024 and sell it today you would earn a total of 1,050 from holding Jenn Feng New or generate 60.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Algorand vs. Jenn Feng New
Performance |
Timeline |
Algorand |
Jenn Feng New |
Algorand and Jenn Feng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algorand and Jenn Feng
The main advantage of trading using opposite Algorand and Jenn Feng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Jenn Feng 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 Jenn Feng will offset losses from the drop in Jenn Feng's long position.The idea behind Algorand and Jenn Feng New 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.Jenn Feng vs. Hota Industrial Mfg | Jenn Feng vs. Sinbon Electronics Co | Jenn Feng vs. Tong Hsing Electronic | Jenn Feng vs. Flexium Interconnect |
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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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