Correlation Between FIRST SAVINGS and Postal Savings
Can any of the company-specific risk be diversified away by investing in both FIRST SAVINGS and Postal Savings 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 FIRST SAVINGS and Postal Savings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIRST SAVINGS FINL and Postal Savings Bank, you can compare the effects of market volatilities on FIRST SAVINGS and Postal Savings 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 FIRST SAVINGS with a short position of Postal Savings. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIRST SAVINGS and Postal Savings.
Diversification Opportunities for FIRST SAVINGS and Postal Savings
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FIRST and Postal is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding FIRST SAVINGS FINL and Postal Savings Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Postal Savings Bank and FIRST SAVINGS 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 FIRST SAVINGS FINL are associated (or correlated) with Postal Savings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Postal Savings Bank has no effect on the direction of FIRST SAVINGS i.e., FIRST SAVINGS and Postal Savings go up and down completely randomly.
Pair Corralation between FIRST SAVINGS and Postal Savings
Assuming the 90 days horizon FIRST SAVINGS FINL is expected to under-perform the Postal Savings. But the stock apears to be less risky and, when comparing its historical volatility, FIRST SAVINGS FINL is 2.01 times less risky than Postal Savings. The stock trades about -0.01 of its potential returns per unit of risk. The Postal Savings Bank is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 40.00 in Postal Savings Bank on December 21, 2024 and sell it today you would earn a total of 21.00 from holding Postal Savings Bank or generate 52.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FIRST SAVINGS FINL vs. Postal Savings Bank
Performance |
Timeline |
FIRST SAVINGS FINL |
Postal Savings Bank |
FIRST SAVINGS and Postal Savings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIRST SAVINGS and Postal Savings
The main advantage of trading using opposite FIRST SAVINGS and Postal Savings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIRST SAVINGS position performs unexpectedly, Postal Savings 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 Postal Savings will offset losses from the drop in Postal Savings' long position.FIRST SAVINGS vs. SEKISUI CHEMICAL | FIRST SAVINGS vs. TRI CHEMICAL LABORATINC | FIRST SAVINGS vs. Eastman Chemical | FIRST SAVINGS vs. DATATEC LTD 2 |
Postal Savings vs. Genco Shipping Trading | Postal Savings vs. Flowers Foods | Postal Savings vs. VIVA WINE GROUP |
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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