Correlation Between Hansen Technologies and EP Financial
Can any of the company-specific risk be diversified away by investing in both Hansen Technologies and EP Financial 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 Hansen Technologies and EP Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hansen Technologies and EP Financial Group, you can compare the effects of market volatilities on Hansen Technologies and EP Financial 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 Hansen Technologies with a short position of EP Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hansen Technologies and EP Financial.
Diversification Opportunities for Hansen Technologies and EP Financial
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hansen and EP1 is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Hansen Technologies and EP Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EP Financial Group and Hansen 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 Hansen Technologies are associated (or correlated) with EP Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EP Financial Group has no effect on the direction of Hansen Technologies i.e., Hansen Technologies and EP Financial go up and down completely randomly.
Pair Corralation between Hansen Technologies and EP Financial
Assuming the 90 days trading horizon Hansen Technologies is expected to generate 0.59 times more return on investment than EP Financial. However, Hansen Technologies is 1.68 times less risky than EP Financial. It trades about 0.45 of its potential returns per unit of risk. EP Financial Group is currently generating about 0.05 per unit of risk. If you would invest 490.00 in Hansen Technologies on September 5, 2024 and sell it today you would earn a total of 81.00 from holding Hansen Technologies or generate 16.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
Hansen Technologies vs. EP Financial Group
Performance |
Timeline |
Hansen Technologies |
EP Financial Group |
Hansen Technologies and EP Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hansen Technologies and EP Financial
The main advantage of trading using opposite Hansen Technologies and EP Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hansen Technologies position performs unexpectedly, EP Financial 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 EP Financial will offset losses from the drop in EP Financial's long position.Hansen Technologies vs. Aneka Tambang Tbk | Hansen Technologies vs. BHP Group Limited | Hansen Technologies vs. Commonwealth Bank of | Hansen Technologies vs. Commonwealth Bank of |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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