Correlation Between Alpine Banks and Pekin Life
Can any of the company-specific risk be diversified away by investing in both Alpine Banks and Pekin Life 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 Alpine Banks and Pekin Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alpine Banks of and Pekin Life Insurance, you can compare the effects of market volatilities on Alpine Banks and Pekin Life 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 Alpine Banks with a short position of Pekin Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alpine Banks and Pekin Life.
Diversification Opportunities for Alpine Banks and Pekin Life
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Alpine and Pekin is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Alpine Banks of and Pekin Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pekin Life Insurance and Alpine Banks 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 Alpine Banks of are associated (or correlated) with Pekin Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pekin Life Insurance has no effect on the direction of Alpine Banks i.e., Alpine Banks and Pekin Life go up and down completely randomly.
Pair Corralation between Alpine Banks and Pekin Life
Assuming the 90 days horizon Alpine Banks of is expected to generate 6.44 times more return on investment than Pekin Life. However, Alpine Banks is 6.44 times more volatile than Pekin Life Insurance. It trades about 0.1 of its potential returns per unit of risk. Pekin Life Insurance is currently generating about 0.07 per unit of risk. If you would invest 2,803 in Alpine Banks of on October 10, 2024 and sell it today you would earn a total of 636.00 from holding Alpine Banks of or generate 22.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Alpine Banks of vs. Pekin Life Insurance
Performance |
Timeline |
Alpine Banks |
Pekin Life Insurance |
Alpine Banks and Pekin Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alpine Banks and Pekin Life
The main advantage of trading using opposite Alpine Banks and Pekin Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alpine Banks position performs unexpectedly, Pekin Life 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 Pekin Life will offset losses from the drop in Pekin Life's long position.The idea behind Alpine Banks of and Pekin Life Insurance 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.Pekin Life vs. FG Annuities Life | Pekin Life vs. MetLife Preferred Stock | Pekin Life vs. Brighthouse Financial | Pekin Life vs. MetLife Preferred Stock |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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