Correlation Between Senheng New and Alliance Financial
Can any of the company-specific risk be diversified away by investing in both Senheng New and Alliance 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 Senheng New and Alliance Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Senheng New Retail and Alliance Financial Group, you can compare the effects of market volatilities on Senheng New and Alliance 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 Senheng New with a short position of Alliance Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Senheng New and Alliance Financial.
Diversification Opportunities for Senheng New and Alliance Financial
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Senheng and Alliance is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Senheng New Retail and Alliance Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Financial and Senheng New 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 Senheng New Retail are associated (or correlated) with Alliance Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Financial has no effect on the direction of Senheng New i.e., Senheng New and Alliance Financial go up and down completely randomly.
Pair Corralation between Senheng New and Alliance Financial
Assuming the 90 days trading horizon Senheng New Retail is expected to generate 1.42 times more return on investment than Alliance Financial. However, Senheng New is 1.42 times more volatile than Alliance Financial Group. It trades about 0.12 of its potential returns per unit of risk. Alliance Financial Group is currently generating about 0.17 per unit of risk. If you would invest 24.00 in Senheng New Retail on October 8, 2024 and sell it today you would earn a total of 4.00 from holding Senheng New Retail or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Senheng New Retail vs. Alliance Financial Group
Performance |
Timeline |
Senheng New Retail |
Alliance Financial |
Senheng New and Alliance Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Senheng New and Alliance Financial
The main advantage of trading using opposite Senheng New and Alliance Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Senheng New position performs unexpectedly, Alliance 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 Alliance Financial will offset losses from the drop in Alliance Financial's long position.Senheng New vs. Malaysia Steel Works | Senheng New vs. Diversified Gateway Solutions | Senheng New vs. Press Metal Bhd | Senheng New vs. DC HEALTHCARE HOLDINGS |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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