nitin arora does india have a stable demand for money function after reforms a macroeconometric analysisкупить товары для дома не дорого:
Nitin Arora Does India have a stable demand for money function after reforms? A macroeconometric analysis
The present study analyzes the stability of the demand for money function in India over the period 1991:M4–2014:M9 using co-integration and Vector Error Correction Mechanism (VECM ) framework. From analysis, it has been observed that there exists a stable demand for money function in India during the post-reforms period, i. e. a long-run relationship does exist between demand for real balances, national output (Yt ), rate of interest (Rt) and exchange rate (ERt). Two variables Yt and ERt have been observed to be affecting demand for real balances positively, while the observed effect of M2 is negative. Thus, the signs and magnitudes of all three regressors have been observed according to a-priori information without any paradoxical situation.
Ali Issa Estimating the demand for money in Libya: An application of the Lagrange multiplier structural break unit root test and the ARDL cointegration approach
This paper examines the demand for money in Libya using annual data for the period 1970—2010 by applying the Autoregressive Distributed Lag (ARDL) cointegration approach and allowing for endogenous structural breaks in cointegration equation. The results based on the bounds testing procedure confirm that a stable, long-run relationship exists between demand for money and its fundamental determinants; namely, real income, inflation rate and nominal exchange rate. The empirical results indicate that there is a unique cointegrated and stable long-run relationship among real money demand (M1), real income, inflation rate, and nominal exchange rate. The real income elasticity coefficient was found positive while the inflation rate elasticity and nominal exchange rate were negative. This shows that depreciation of domestic currency decreases the demand for money. The results also reveal that after incorporating the CUSUM and CUSUMSQ tests, M1 money demand function is stable between 1982 and 2010.
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F. Carlevaro Econometric Modeling and Analysis of Residential Water Demand Based on Unbalanced Panel Data
This paper develops an econometric methodology devised to analyze a sample of time unbalanced panel data on residential water consumption in the French island La Reunion with the purpose to bring out the main determinants of household water consumption and estimate the importance of water consumption by uses. For this purpose, we specify a daily panel econometric model and derive, by performing a time aggregation, a general linear regression model accounting for water consumption data recorded on periods of any calendar date and time length. To estimate efficiently the parameters of this model we develop a feasible two step generalized least square method. Using the principle of best linear unbiaised prediction, we finally develop an approach allowing to consistenly break down the volume of water consumption recorded on household water bills by uses, namely by enforcing this estimated decomposition to add up to the observed total. The application of this methodology to a sample of 437 unbalanced panel observations shows the scope of this approach for the empirical analysis of actual data.
Robert Weigand A. Applied Equity Analysis and Portfolio Management. Tools to Analyze and Manage Your Stock Portfolio
A «hands-on» guide to applied equity analysis and portfolio management From asset allocation to modeling the intrinsic value of a stock, Applied Equity Analysis and Portfolio Management + Online Video Course offers readers a solid foundation in the practice of fundamental analysis using the same tools and techniques as professional investors. Filled with real-world illustrations and hands-on applications, Professor Weigand's learning system takes a rigorous, empirical approach to topics such as analyzing the macro-finance environment, sector rotation, financial analysis and valuation, assessing a company's competitive position, and reporting the performance of a stock portfolio. Unlike typical books on this subject—which feature chapters to read and exercises to complete—this resource allows readers to actively participate in the learning experience by completing writing exercises and manipulating interactive spreadsheets that illustrate the principles being taught. The learning system also features instructional videos that demonstrate how to use the spreadsheet models and excerpts from the author's blog, which are used to depict additional examples of the analysis process. Along the way, it skillfully outlines an effective approach to creating and interpreting outputs typically associated with a top-down money management shop – including a macroeconomic forecasting newsletter, detailed stock research reports, and a portfolio performance attribution analysis. Covers topics including active and passive money management, fundamental analysis and portfolio attribution analysis Companion streaming videos show how to use free online data to create yourown analyses of key economic indicators, individual stocks, and stock portfolios A valuable resource for universities who have applied equity analysis and portfolio management courses Practical and up-to-date, the book is an excellent resource for those with a need for practical investment expertise.
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