Correlation Between Postal Savings and OAKTRSPECLENDNEW
Can any of the company-specific risk be diversified away by investing in both Postal Savings and OAKTRSPECLENDNEW 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 Postal Savings and OAKTRSPECLENDNEW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Postal Savings Bank and OAKTRSPECLENDNEW, you can compare the effects of market volatilities on Postal Savings and OAKTRSPECLENDNEW 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 Postal Savings with a short position of OAKTRSPECLENDNEW. Check out your portfolio center. Please also check ongoing floating volatility patterns of Postal Savings and OAKTRSPECLENDNEW.
Diversification Opportunities for Postal Savings and OAKTRSPECLENDNEW
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Postal and OAKTRSPECLENDNEW is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Postal Savings Bank and OAKTRSPECLENDNEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OAKTRSPECLENDNEW and Postal 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 Postal Savings Bank are associated (or correlated) with OAKTRSPECLENDNEW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OAKTRSPECLENDNEW has no effect on the direction of Postal Savings i.e., Postal Savings and OAKTRSPECLENDNEW go up and down completely randomly.
Pair Corralation between Postal Savings and OAKTRSPECLENDNEW
Assuming the 90 days horizon Postal Savings Bank is expected to generate 1.47 times more return on investment than OAKTRSPECLENDNEW. However, Postal Savings is 1.47 times more volatile than OAKTRSPECLENDNEW. It trades about 0.14 of its potential returns per unit of risk. OAKTRSPECLENDNEW is currently generating about -0.01 per unit of risk. If you would invest 54.00 in Postal Savings Bank on September 27, 2024 and sell it today you would earn a total of 2.00 from holding Postal Savings Bank or generate 3.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Postal Savings Bank vs. OAKTRSPECLENDNEW
Performance |
Timeline |
Postal Savings Bank |
OAKTRSPECLENDNEW |
Postal Savings and OAKTRSPECLENDNEW Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Postal Savings and OAKTRSPECLENDNEW
The main advantage of trading using opposite Postal Savings and OAKTRSPECLENDNEW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Postal Savings position performs unexpectedly, OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW will offset losses from the drop in OAKTRSPECLENDNEW's long position.Postal Savings vs. POSBO UNSPADRS20YC1 | Postal Savings vs. Truist Financial | Postal Savings vs. OVERSEA CHINUNSPADR2 | Postal Savings vs. Oversea Chinese Banking |
OAKTRSPECLENDNEW vs. Chuangs China Investments | OAKTRSPECLENDNEW vs. SOFI TECHNOLOGIES | OAKTRSPECLENDNEW vs. Postal Savings Bank | OAKTRSPECLENDNEW vs. MGIC INVESTMENT |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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