Correlation Between PT Bank and Federal Natl
Can any of the company-specific risk be diversified away by investing in both PT Bank and Federal Natl 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 PT Bank and Federal Natl into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bank Central and Federal Natl Pfd, you can compare the effects of market volatilities on PT Bank and Federal Natl 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 PT Bank with a short position of Federal Natl. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Federal Natl.
Diversification Opportunities for PT Bank and Federal Natl
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between PBCRF and Federal is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Central and Federal Natl Pfd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Natl Pfd and PT Bank 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 PT Bank Central are associated (or correlated) with Federal Natl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Natl Pfd has no effect on the direction of PT Bank i.e., PT Bank and Federal Natl go up and down completely randomly.
Pair Corralation between PT Bank and Federal Natl
Assuming the 90 days horizon PT Bank Central is expected to under-perform the Federal Natl. But the pink sheet apears to be less risky and, when comparing its historical volatility, PT Bank Central is 2.9 times less risky than Federal Natl. The pink sheet trades about -0.01 of its potential returns per unit of risk. The Federal Natl Pfd is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 673.00 in Federal Natl Pfd on September 14, 2024 and sell it today you would earn a total of 1,028 from holding Federal Natl Pfd or generate 152.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
PT Bank Central vs. Federal Natl Pfd
Performance |
Timeline |
PT Bank Central |
Federal Natl Pfd |
PT Bank and Federal Natl Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bank and Federal Natl
The main advantage of trading using opposite PT Bank and Federal Natl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Federal Natl 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 Federal Natl will offset losses from the drop in Federal Natl's long position.PT Bank vs. PT Bank Rakyat | PT Bank vs. Morningstar Unconstrained Allocation | PT Bank vs. Bondbloxx ETF Trust | PT Bank vs. Spring Valley Acquisition |
Federal Natl vs. Federal National Mortgage | Federal Natl vs. Federal National Mortgage | Federal Natl vs. Federal National Mortgage | Federal Natl vs. Federal Home Loan |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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