Institutional profit realization has become highly contingent on research education, investment, and planning; yet, the methodology of research may not be clear to young researchers or students of Economics and Management Science. In Research and Profit Maximization in Finance and Economics, author Christopher Warburton breaks the methodology of research into three component parts: the essence of research; avenues from which data on economic indicators could be obtained; and the estimation of assorted models for forecasting economic indicators to maximize profit. The central concept of profit maximization is presented to incorporate the optimization problem in Economics. The substitution, Langrangean, graphing, and linear programming methods of optimization are fully explained. Data and model discussions include practical examples of stationary and non-stationary data, as well as univariate, multivariate, and atheoretic (Box-Jenkins) regression models. Research and Profit Maximization in Finance and Economics is a concise presentation to meet notable challenges in academic and business research, which involve data collection, basic data estimation, forecasting, and profit maximization.
Institutional profit realization has become highly contingent on research education, investment, and planning; yet, the methodology of research may not be clear to young researchers or students of Economics and Management Science. In Research and Profit Maximization in Finance and Economics, author Christopher Warburton breaks the methodology of research into three component parts: the essence of research; avenues from which data on economic indicators could be obtained; and the estimation of assorted models for forecasting economic indicators to maximize profit. The central concept of profit maximization is presented to incorporate the optimization problem in Economics. The substitution, Langrangean, graphing, and linear programming methods of optimization are fully explained. Data and model discussions include practical examples of stationary and non-stationary data, as well as univariate, multivariate, and atheoretic (Box-Jenkins) regression models. Research and Profit Maximization in Finance and Economics is a concise presentation to meet notable challenges in academic and business research, which involve data collection, basic data estimation, forecasting, and profit maximization.
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