Correlation Between London Security and MOL Hungarian
Can any of the company-specific risk be diversified away by investing in both London Security and MOL Hungarian 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 London Security and MOL Hungarian into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between London Security Plc and MOL Hungarian Oil, you can compare the effects of market volatilities on London Security and MOL Hungarian 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 London Security with a short position of MOL Hungarian. Check out your portfolio center. Please also check ongoing floating volatility patterns of London Security and MOL Hungarian.
Diversification Opportunities for London Security and MOL Hungarian
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between London and MOL is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding London Security Plc and MOL Hungarian Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOL Hungarian Oil and London Security 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 London Security Plc are associated (or correlated) with MOL Hungarian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOL Hungarian Oil has no effect on the direction of London Security i.e., London Security and MOL Hungarian go up and down completely randomly.
Pair Corralation between London Security and MOL Hungarian
Assuming the 90 days trading horizon London Security Plc is expected to under-perform the MOL Hungarian. But the stock apears to be less risky and, when comparing its historical volatility, London Security Plc is 1.88 times less risky than MOL Hungarian. The stock trades about -0.09 of its potential returns per unit of risk. The MOL Hungarian Oil is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 292,200 in MOL Hungarian Oil on September 23, 2024 and sell it today you would earn a total of 0.00 from holding MOL Hungarian Oil 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 |
London Security Plc vs. MOL Hungarian Oil
Performance |
Timeline |
London Security Plc |
MOL Hungarian Oil |
London Security and MOL Hungarian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with London Security and MOL Hungarian
The main advantage of trading using opposite London Security and MOL Hungarian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if London Security position performs unexpectedly, MOL Hungarian 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 MOL Hungarian will offset losses from the drop in MOL Hungarian's long position.London Security vs. Samsung Electronics Co | London Security vs. Samsung Electronics Co | London Security vs. Hyundai Motor | London Security vs. Toyota Motor Corp |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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