Correlation Between Pan Entertainment and FNC Entertainment
Can any of the company-specific risk be diversified away by investing in both Pan Entertainment and FNC Entertainment 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 Pan Entertainment and FNC Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pan Entertainment Co and FNC Entertainment Co, you can compare the effects of market volatilities on Pan Entertainment and FNC Entertainment 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 Pan Entertainment with a short position of FNC Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pan Entertainment and FNC Entertainment.
Diversification Opportunities for Pan Entertainment and FNC Entertainment
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pan and FNC is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Pan Entertainment Co and FNC Entertainment Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FNC Entertainment and Pan Entertainment 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 Pan Entertainment Co are associated (or correlated) with FNC Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FNC Entertainment has no effect on the direction of Pan Entertainment i.e., Pan Entertainment and FNC Entertainment go up and down completely randomly.
Pair Corralation between Pan Entertainment and FNC Entertainment
Assuming the 90 days trading horizon Pan Entertainment Co is expected to under-perform the FNC Entertainment. In addition to that, Pan Entertainment is 1.11 times more volatile than FNC Entertainment Co. It trades about -0.06 of its total potential returns per unit of risk. FNC Entertainment Co is currently generating about -0.05 per unit of volatility. If you would invest 564,000 in FNC Entertainment Co on September 28, 2024 and sell it today you would lose (279,500) from holding FNC Entertainment Co or give up 49.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pan Entertainment Co vs. FNC Entertainment Co
Performance |
Timeline |
Pan Entertainment |
FNC Entertainment |
Pan Entertainment and FNC Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pan Entertainment and FNC Entertainment
The main advantage of trading using opposite Pan Entertainment and FNC Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pan Entertainment position performs unexpectedly, FNC Entertainment 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 FNC Entertainment will offset losses from the drop in FNC Entertainment's long position.Pan Entertainment vs. ABOV Semiconductor Co | Pan Entertainment vs. Hankuk Steel Wire | Pan Entertainment vs. Koryo Credit Information | Pan Entertainment vs. Fine Besteel Co |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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