Correlation Between Wishpond Technologies and Lomiko Metals
Can any of the company-specific risk be diversified away by investing in both Wishpond Technologies and Lomiko Metals 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 Wishpond Technologies and Lomiko Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wishpond Technologies and Lomiko Metals, you can compare the effects of market volatilities on Wishpond Technologies and Lomiko Metals 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 Wishpond Technologies with a short position of Lomiko Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wishpond Technologies and Lomiko Metals.
Diversification Opportunities for Wishpond Technologies and Lomiko Metals
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Wishpond and Lomiko is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Wishpond Technologies and Lomiko Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lomiko Metals and Wishpond Technologies 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 Wishpond Technologies are associated (or correlated) with Lomiko Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lomiko Metals has no effect on the direction of Wishpond Technologies i.e., Wishpond Technologies and Lomiko Metals go up and down completely randomly.
Pair Corralation between Wishpond Technologies and Lomiko Metals
Assuming the 90 days trading horizon Wishpond Technologies is expected to generate 0.87 times more return on investment than Lomiko Metals. However, Wishpond Technologies is 1.15 times less risky than Lomiko Metals. It trades about 0.04 of its potential returns per unit of risk. Lomiko Metals is currently generating about 0.03 per unit of risk. If you would invest 31.00 in Wishpond Technologies on November 27, 2024 and sell it today you would earn a total of 2.00 from holding Wishpond Technologies or generate 6.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wishpond Technologies vs. Lomiko Metals
Performance |
Timeline |
Wishpond Technologies |
Lomiko Metals |
Wishpond Technologies and Lomiko Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wishpond Technologies and Lomiko Metals
The main advantage of trading using opposite Wishpond Technologies and Lomiko Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wishpond Technologies position performs unexpectedly, Lomiko Metals 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 Lomiko Metals will offset losses from the drop in Lomiko Metals' long position.Wishpond Technologies vs. Adcore Inc | Wishpond Technologies vs. Emerge Commerce | Wishpond Technologies vs. Quisitive Technology Solutions | Wishpond Technologies vs. Plurilock Security |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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