| Dr Dimitrios Tsomocos | Edmond Safra | | | | | | Wednesday 12th | 8.45 to 12.15 (10.15 to 10.45) | Economics I | Dr Peter Eso | Edmond Safra | | | | | | Thursday 13th | 13.00 to 16.30 (15.15 to 15.45) | Financial Econometrics I | Dr Jeremy Large | Edmond Safra | | | | | | Friday 14th | 8.45 to 12.15 | Finding Info for Assignments | | IT Training Room | | 12.15 to 13.30 | Lunch | | 13.30 to 16.45 | Finding Info for Assignments | | IT Training
Words: 1655 - Pages: 7
.............................................................................2 The Importance of Purpose..................................................................................3 Two Kinds of Models: Optimization Versus Simulation and Econometrics.......4 Optimization.............................................................................................4 Limitations of Optimization..........................................................5 When To Use Optimization.................
Words: 14261 - Pages: 58
forecast, (2) Data availability, (3) Accuracy required, (4) Size of forecasting budget, and (5) Availability of qualified personnel ( p. 518). This paper will compare and contrast three forecasting methods (Delphi Method, Box Jenkins Technique, and Econometric Models) used by managers to help predict future demand as well as explain how the National Basketball Association (NBA) uses forecasting methods to forecast demand under conditions of uncertainty. The Delphi method is a qualitative technique.
Words: 1586 - Pages: 7
Journal of Economic Literature Vol. XXXIV (March 1996), pp. 97-114 The Standard Error of Regressions By D E I R D R E N . M C C L O S K E Y and STEPHEN T. ZILIAK University of Iowa Suggestions by two anonymous and patient referees greatly improved the paper. Our thanks also to seminars at Clark, Iowa State, Harvard, Houston, Indiana, and Kansas State universities, at Williatns College, and at the universities of Virginia and Iowa. A colleague at Iowa, Calvin Siehert, was materially helpful
Words: 10019 - Pages: 41
Econometrics Assignment 3 FB11001 Test the Multicollinearity problem with a suitable method. Solve the problem of Multicollinearity if so, by any one of the method which you thing suitable for your example? Answer: We have referred to the following data base1, in order to illustrate the multiple linear regression models. This database is the same as used for Assignment 2. X1 = annual net sales/$1000 X2 = number sq. ft./1000 X3 = inventory/$1000 X4 = amount spent on advertising/$1000 X5 = size
Words: 1039 - Pages: 5
bootstrapping, analogies, extrapolation, rule-based forecasting, expert systems, and econometric methods. We discuss research about which methods are most appropriate to forecast market size, actions of decision makers, market share, sales, and financial outcomes. In general, there is a need for statistical methods that incorporate the manager's domain knowledge. This includes rule-based forecasting, expert systems, and econometric methods. We describe how to choose a forecasting method and provide guidelines
Words: 10312 - Pages: 42
AFIN328 Financial Risk Management Department of Applied Finance and Actuarial Studies Faculty of Business and Economics Unit Guide D2 Day; Offered in Session 2, North Ryde 2012 Table of Content Table of Content General Information Convenor and teaching staff Credit Points Prerequisites Corequisites Co-badged status Unit Description 2 3 3 3 3 3 3 3 Learning Outcomes Graduate Capabilities Problem Solving and Research Capability Creative and Innovative Effective Communication Commitment
Words: 3151 - Pages: 13
1. Module Name: Introductory Econometrics Code: P12205 Credits: 10 Semester: Spring 2011/12 Delivery: 16 one-hour lectures + 4 one-hour workshops Aims: The main aims of this module are: to introduce students to the principles, uses and interpretation of regression analysis most commonly employed in applied economics; to provide participants with sufficient knowledge of regression methods to critically evaluate and interpret empirical research. On completion of this module students should
Words: 1425 - Pages: 6
DIEGO GARCIA Curriculum Vitae I. CONTACT INFORMATION Kenan-Flagler Business School University of North Carolina at Chapel Hill 4409 McColl Campus Box 3490 Chapel Hill, NC 27599-3490 USA Tel: (919) 962-8404 Fax: (919) 962-2068 diego garcia@unc.edu www.unc.edu/∼garciadi II. EDUCATION University of California at Berkeley Ph.D., Business Administration, Haas School of Business (2000). M.A., Department of Statistics (1999). Asturias Business School B.S., Business Administration
Words: 1244 - Pages: 5
ECONOMETRICS (ECON 109) Summary of Lecture 2: Two-variable (Simple) Regression Model Simple Linear Regression Model A simple linear regression model is a regression model where there is ONLY ONE independent variable (X) affecting the dependent variable Y, and wherein the functional relationship between Y and X/Xs is linear, thus when expressed graphically will show a straight line. “LINEAR” – this pertains to linearity in parameters. That is, matter even if the independent variable X/Xs are
Words: 1020 - Pages: 5
