Correlation Between Chia and Park National
Can any of the company-specific risk be diversified away by investing in both Chia and Park 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 Chia and Park National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chia and Park National, you can compare the effects of market volatilities on Chia and Park 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 Chia with a short position of Park National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chia and Park National.
Diversification Opportunities for Chia and Park National
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chia and Park is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Chia and Park National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park National and Chia 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 Chia are associated (or correlated) with Park National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park National has no effect on the direction of Chia i.e., Chia and Park National go up and down completely randomly.
Pair Corralation between Chia and Park National
Assuming the 90 days trading horizon Chia is expected to generate 2.95 times more return on investment than Park National. However, Chia is 2.95 times more volatile than Park National. It trades about -0.02 of its potential returns per unit of risk. Park National is currently generating about -0.27 per unit of risk. If you would invest 2,498 in Chia on October 9, 2024 and sell it today you would lose (104.00) from holding Chia or give up 4.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Chia vs. Park National
Performance |
Timeline |
Chia |
Park National |
Chia and Park National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chia and Park National
The main advantage of trading using opposite Chia and Park National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chia position performs unexpectedly, Park 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 Park National will offset losses from the drop in Park National's long position.The idea behind Chia and Park National 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.Park National vs. Peoples Bancorp | Park National vs. Lakeland Financial | Park National vs. NBT Bancorp | Park National vs. Trustmark |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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