Correlation Between Meta Financial and SHELF DRILLING
Can any of the company-specific risk be diversified away by investing in both Meta Financial and SHELF DRILLING 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 Meta Financial and SHELF DRILLING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Financial Group and SHELF DRILLING LTD, you can compare the effects of market volatilities on Meta Financial and SHELF DRILLING 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 Meta Financial with a short position of SHELF DRILLING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Financial and SHELF DRILLING.
Diversification Opportunities for Meta Financial and SHELF DRILLING
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Meta and SHELF is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Meta Financial Group and SHELF DRILLING LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SHELF DRILLING LTD and Meta Financial 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 Meta Financial Group are associated (or correlated) with SHELF DRILLING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SHELF DRILLING LTD has no effect on the direction of Meta Financial i.e., Meta Financial and SHELF DRILLING go up and down completely randomly.
Pair Corralation between Meta Financial and SHELF DRILLING
Assuming the 90 days horizon Meta Financial is expected to generate 2.44 times less return on investment than SHELF DRILLING. But when comparing it to its historical volatility, Meta Financial Group is 2.14 times less risky than SHELF DRILLING. It trades about 0.12 of its potential returns per unit of risk. SHELF DRILLING LTD is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 47.00 in SHELF DRILLING LTD on April 21, 2025 and sell it today you would earn a total of 19.00 from holding SHELF DRILLING LTD or generate 40.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Meta Financial Group vs. SHELF DRILLING LTD
Performance |
Timeline |
Meta Financial Group |
SHELF DRILLING LTD |
Meta Financial and SHELF DRILLING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meta Financial and SHELF DRILLING
The main advantage of trading using opposite Meta Financial and SHELF DRILLING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Financial position performs unexpectedly, SHELF DRILLING 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 SHELF DRILLING will offset losses from the drop in SHELF DRILLING's long position.Meta Financial vs. Coor Service Management | Meta Financial vs. CeoTronics AG | Meta Financial vs. INSURANCE AUST GRP | Meta Financial vs. Sims Metal Management |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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