LEAST SQUARES
A statistical method used to minimize the sum of squares between the observed values and the estimated values in order to determine the regression equations. To get the "square", accord the distance between the data point and the regression line. This approach confines the distance between a function and the data points the function attempts to explain. This is frequently used in regression analysis, particularly in nonlinear regression modeling that explains a curve is fitting into a set of data.
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M3
Measuring money supply which includes the following: M2, large time-deposits, repos of maturity larger than one day at commercial banks, institutio ...
S&P 500 Mini
S&P 500 Mini is a derivative contract that represents a designated fraction of the trading value of a standard S&P futures or options contr ...
Rationalization
A reorganization of a company to surge its efficiency. Reorganization may lead to an expansion or reduction in company size, policy changes, or an ...
Industry Bet
Strategy where investors or portfolio managers escalate or reduce holdings in an entire industry, rather than buying or selling individual stocks f ...
Risk Averse
A term that describes an investor who will prefer an investment with the lower risk when he or she encounters two investments with a similar expect ...
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| Time | Country | Indices | Period |
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