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Waikato Management School
Te Raupapa

ECON507-16T (HAM) - Quantitative Skills for Finance and Economics (2016)

Introduction

Credit points

15.00

Calendar description

This paper provides students with a thorough grounding in the applied quantitative techniques required for professional practice in business, finance and economics. The main emphasis is on recognising which techniques are appropriate for particular types of problems, using the techniques and interpreting the results.

Handbook description

This paper provides MPM and MPACCT students with a thorough grounding in the applied quantitative techniques required for professional practice in business, finance and economics. The main emphasis is on recognising which techniques are appropriate for particular types of problems, using the techniques and interpreting the results. Students learn to apply skills in data analysis and applied regression methods to a broad range of topics including business applications, corporate and international finance, international economics and macroeconomics using time series and panel data at household, firm and country level.

Extended Information

In today's world, good decision making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data, and to communicate the results effectively. In this course, students will learn to apply skills in data analysis and applied regression methods to a broad range of topics including business applications, corporate and international finance, international economics and macroeconomics using time series and panel data at household, firm and country level. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. The topics covered include data analysis; correlation vs. causation; simple regression analysis; multiple regression analysis; regression diagnostics; regression with dummy variables; transformation of variables and econometric issues with time series and panel data.