Correlation Between KAT Exploration and WB Burgers
Can any of the company-specific risk be diversified away by investing in both KAT Exploration and WB Burgers 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 KAT Exploration and WB Burgers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KAT Exploration and WB Burgers Asia, you can compare the effects of market volatilities on KAT Exploration and WB Burgers 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 KAT Exploration with a short position of WB Burgers. Check out your portfolio center. Please also check ongoing floating volatility patterns of KAT Exploration and WB Burgers.
Diversification Opportunities for KAT Exploration and WB Burgers
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between KAT and WBBA is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding KAT Exploration and WB Burgers Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WB Burgers Asia and KAT Exploration 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 KAT Exploration are associated (or correlated) with WB Burgers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WB Burgers Asia has no effect on the direction of KAT Exploration i.e., KAT Exploration and WB Burgers go up and down completely randomly.
Pair Corralation between KAT Exploration and WB Burgers
Given the investment horizon of 90 days KAT Exploration is expected to generate 4.15 times less return on investment than WB Burgers. But when comparing it to its historical volatility, KAT Exploration is 2.33 times less risky than WB Burgers. It trades about 0.1 of its potential returns per unit of risk. WB Burgers Asia is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 6.00 in WB Burgers Asia on September 4, 2024 and sell it today you would earn a total of 34.00 from holding WB Burgers Asia or generate 566.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 49.19% |
Values | Daily Returns |
KAT Exploration vs. WB Burgers Asia
Performance |
Timeline |
KAT Exploration |
WB Burgers Asia |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
KAT Exploration and WB Burgers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KAT Exploration and WB Burgers
The main advantage of trading using opposite KAT Exploration and WB Burgers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KAT Exploration position performs unexpectedly, WB Burgers 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 WB Burgers will offset losses from the drop in WB Burgers' long position.KAT Exploration vs. Southern ITS International | KAT Exploration vs. UHF Logistics Group | KAT Exploration vs. Intl Star | KAT Exploration vs. Church Crawford |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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