Correlation Between Meta Financial and WESCO International
Can any of the company-specific risk be diversified away by investing in both Meta Financial and WESCO International 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 WESCO International 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 WESCO International, you can compare the effects of market volatilities on Meta Financial and WESCO International 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 WESCO International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Financial and WESCO International.
Diversification Opportunities for Meta Financial and WESCO International
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Meta and WESCO is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Meta Financial Group and WESCO International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WESCO International 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 WESCO International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WESCO International has no effect on the direction of Meta Financial i.e., Meta Financial and WESCO International go up and down completely randomly.
Pair Corralation between Meta Financial and WESCO International
Assuming the 90 days horizon Meta Financial Group is expected to generate 0.67 times more return on investment than WESCO International. However, Meta Financial Group is 1.49 times less risky than WESCO International. It trades about -0.08 of its potential returns per unit of risk. WESCO International is currently generating about -0.09 per unit of risk. If you would invest 7,095 in Meta Financial Group on December 20, 2024 and sell it today you would lose (545.00) from holding Meta Financial Group or give up 7.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Meta Financial Group vs. WESCO International
Performance |
Timeline |
Meta Financial Group |
WESCO International |
Meta Financial and WESCO International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meta Financial and WESCO International
The main advantage of trading using opposite Meta Financial and WESCO International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Financial position performs unexpectedly, WESCO International 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 WESCO International will offset losses from the drop in WESCO International's long position.Meta Financial vs. PARKEN Sport Entertainment | Meta Financial vs. Ubisoft Entertainment SA | Meta Financial vs. AcadeMedia AB | Meta Financial vs. Prosiebensat 1 Media |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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