Correlation Between Wt Financial and Carlton Investments
Can any of the company-specific risk be diversified away by investing in both Wt Financial and Carlton Investments 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 Wt Financial and Carlton Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wt Financial Group and Carlton Investments, you can compare the effects of market volatilities on Wt Financial and Carlton Investments 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 Wt Financial with a short position of Carlton Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wt Financial and Carlton Investments.
Diversification Opportunities for Wt Financial and Carlton Investments
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between WTL and Carlton is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Wt Financial Group and Carlton Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carlton Investments and Wt 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 Wt Financial Group are associated (or correlated) with Carlton Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carlton Investments has no effect on the direction of Wt Financial i.e., Wt Financial and Carlton Investments go up and down completely randomly.
Pair Corralation between Wt Financial and Carlton Investments
Assuming the 90 days trading horizon Wt Financial Group is expected to generate 4.79 times more return on investment than Carlton Investments. However, Wt Financial is 4.79 times more volatile than Carlton Investments. It trades about 0.06 of its potential returns per unit of risk. Carlton Investments is currently generating about -0.11 per unit of risk. If you would invest 9.20 in Wt Financial Group on September 28, 2024 and sell it today you would earn a total of 0.30 from holding Wt Financial Group or generate 3.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wt Financial Group vs. Carlton Investments
Performance |
Timeline |
Wt Financial Group |
Carlton Investments |
Wt Financial and Carlton Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wt Financial and Carlton Investments
The main advantage of trading using opposite Wt Financial and Carlton Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wt Financial position performs unexpectedly, Carlton Investments 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 Carlton Investments will offset losses from the drop in Carlton Investments' long position.Wt Financial vs. Truscott Mining Corp | Wt Financial vs. Clime Investment Management | Wt Financial vs. Global Data Centre | Wt Financial vs. ABACUS STORAGE KING |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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