Correlation Between Franklin Wireless and Penn National
Can any of the company-specific risk be diversified away by investing in both Franklin Wireless and Penn National 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 Franklin Wireless and Penn National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Wireless Corp and Penn National Gaming, you can compare the effects of market volatilities on Franklin Wireless and Penn National 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 Franklin Wireless with a short position of Penn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Wireless and Penn National.
Diversification Opportunities for Franklin Wireless and Penn National
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Franklin and Penn is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Wireless Corp and Penn National Gaming in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penn National Gaming and Franklin Wireless 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 Franklin Wireless Corp are associated (or correlated) with Penn National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penn National Gaming has no effect on the direction of Franklin Wireless i.e., Franklin Wireless and Penn National go up and down completely randomly.
Pair Corralation between Franklin Wireless and Penn National
Given the investment horizon of 90 days Franklin Wireless Corp is expected to generate 0.67 times more return on investment than Penn National. However, Franklin Wireless Corp is 1.49 times less risky than Penn National. It trades about 0.14 of its potential returns per unit of risk. Penn National Gaming is currently generating about 0.04 per unit of risk. If you would invest 418.00 in Franklin Wireless Corp on October 24, 2024 and sell it today you would earn a total of 71.00 from holding Franklin Wireless Corp or generate 16.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Wireless Corp vs. Penn National Gaming
Performance |
Timeline |
Franklin Wireless Corp |
Penn National Gaming |
Franklin Wireless and Penn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Wireless and Penn National
The main advantage of trading using opposite Franklin Wireless and Penn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Wireless position performs unexpectedly, Penn National 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 Penn National will offset losses from the drop in Penn National's long position.Franklin Wireless vs. Wialan Technologies | Franklin Wireless vs. TPT Global Tech | Franklin Wireless vs. Moving iMage Technologies | Franklin Wireless vs. Comtech Telecommunications Corp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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