Correlation Between HEMARAJ INDUSTRIAL and MFC Nichada
Can any of the company-specific risk be diversified away by investing in both HEMARAJ INDUSTRIAL and MFC Nichada 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 HEMARAJ INDUSTRIAL and MFC Nichada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HEMARAJ INDUSTRIAL PROPERTY and MFC Nichada Thani Property, you can compare the effects of market volatilities on HEMARAJ INDUSTRIAL and MFC Nichada 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 HEMARAJ INDUSTRIAL with a short position of MFC Nichada. Check out your portfolio center. Please also check ongoing floating volatility patterns of HEMARAJ INDUSTRIAL and MFC Nichada.
Diversification Opportunities for HEMARAJ INDUSTRIAL and MFC Nichada
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between HEMARAJ and MFC is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding HEMARAJ INDUSTRIAL PROPERTY and MFC Nichada Thani Property in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFC Nichada Thani and HEMARAJ INDUSTRIAL 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 HEMARAJ INDUSTRIAL PROPERTY are associated (or correlated) with MFC Nichada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFC Nichada Thani has no effect on the direction of HEMARAJ INDUSTRIAL i.e., HEMARAJ INDUSTRIAL and MFC Nichada go up and down completely randomly.
Pair Corralation between HEMARAJ INDUSTRIAL and MFC Nichada
Assuming the 90 days trading horizon HEMARAJ INDUSTRIAL PROPERTY is expected to generate 69.09 times more return on investment than MFC Nichada. However, HEMARAJ INDUSTRIAL is 69.09 times more volatile than MFC Nichada Thani Property. It trades about 0.16 of its potential returns per unit of risk. MFC Nichada Thani Property is currently generating about 0.05 per unit of risk. If you would invest 500.00 in HEMARAJ INDUSTRIAL PROPERTY on September 28, 2024 and sell it today you would earn a total of 0.00 from holding HEMARAJ INDUSTRIAL PROPERTY or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HEMARAJ INDUSTRIAL PROPERTY vs. MFC Nichada Thani Property
Performance |
Timeline |
HEMARAJ INDUSTRIAL |
MFC Nichada Thani |
HEMARAJ INDUSTRIAL and MFC Nichada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HEMARAJ INDUSTRIAL and MFC Nichada
The main advantage of trading using opposite HEMARAJ INDUSTRIAL and MFC Nichada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HEMARAJ INDUSTRIAL position performs unexpectedly, MFC Nichada 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 MFC Nichada will offset losses from the drop in MFC Nichada's long position.HEMARAJ INDUSTRIAL vs. Jay Mart Public | HEMARAJ INDUSTRIAL vs. Krungthai Card Public | HEMARAJ INDUSTRIAL vs. The Erawan Group | HEMARAJ INDUSTRIAL vs. Autocorp Holding Public |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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