Full-Time Day MBA Program

Finance / Real Estate 591: Advanced Financial Management

Trimester 5a: November 9 - December 18, 2009

Professor: George W. Gallinger | Office: BAC 524 | Telephone: 480.965.4221
  Office Hours: TTh 8-10 a.m. & by appointment | Class: TTh - BA 201, 1 - 2:50 p.m.
Web Homepage: http://www.public.asu.edu/~bac524
  E-mail: george.gallinger@asu.edu
  Go directly to the assignments

Version: November 10, 2009

Course Overview

The course has three interwoven modules: economic forecasting, simulation, and EVA and capital budgeting. The forecasting module will make you more aware of economic activity and how it can help you make decisions -- whether the decisions be job related or about personal finances. The simulation module introduces you to the use of @Risk to allow you to gain a better understanding of incorporating risk in decision making. The last module examines how to measure if capital investments are expected to contribute value period-by-period. The capital budgeting techniques of NPV or IRR fail to reveal this information; an EVA approach overcomes the problem.

Textbooks & Other Materials

There are no textbooks or cases required to be purchased for the course. The syllabus contains links to required readings. Some handouts will be provided.

Grading & Course Requirements

Grades are allocated as follows:

Individual Assignments

Keep your write-ups brief but cover the salient issues. Write-ups need to be typed with all necessary supporting documentation attached. Late assignments will not be accepted. Please don't use a cover page. Simply put a staple in the top left-hand corner with you name in the top right-hand corner.

Two-member Team NPV/EVA Assignment

Two-member Team Economic Forecasting Project

Forecast:

  1. the December 2009 monthly percentage change in year-over-year real personal consumption expenditures
  2. when the recession will officially be over as deemed by NBER
  3. when the unemployment rate will be below 8

The write-up should look professional -- a document that you would be proud to give to an executive to read. I encourage you to embed any charts within the document, as opposed to attaching them as appendices. Single space the document (25 points).

Class Contribution

Failure to contribute to class discussions will result in a low contribution grade. Contribution will take account of the quality and regularity of your comments, attendance, and preparation. Effective contribution means participating such that your answer or question moves our analysis and understanding forward. I expect you to come to class on time, fully prepared, and ready to open the discussion. Contribution involves careful analysis of the available quantitative and qualitative evidence presented in the case to develop specific recommendations.

Class contribution points are allocated as follows:

Grading

A 90-80-70-60 percentile grading system is not used. Instead, I accumulate grades and look for break points. A-'s and B-'s will never cutoff higher than the 90 and 80 percentiles, respectively. I expect everyone in class to earn grades of B- or better. However, a final grade below 70 percent will result in a C or lower.

W. P. Carey Honor Code and Laptop Computer Policy

For any individual assignments, do your own writing. I encourage you to speak to other students about the issues, unless stated otherwise. Write the analysis in your own words and share no files whatsoever. Failure to do so will result in zero points for the assignment for both the receiver and provider (if involved) of the files if I detect noncompliance. Some of the assignments used in this class may have been used before at ASU or other institutions. You may not consult with students previously enrolled in this class, their class notes, or other materials that were otherwise provided in the past. Moreover, you may not use material or solutions from other institutions (e.g., posted on the Internet), unless otherwise instructed in class to do so for a particular assignment.

Laptop computers may be used in class for note taking and when required for a class activity. Checking email or surfing the Internet during class is not acceptable, and will be considered a violation of policy. The penalty will be a lower contribution grade.

Click on the Appropriate Date to Go Directly to the Class Schedule

Nov. 10 Nov. 12 Nov. 17 Nov. 19 Nov. 24 Dec. 1 Dec. 3 Dec. 8 Dec. 10 Dec. 15

Session 1: Tuesday, November 10

Lecture: What happened to the economy in 2008?

Assignment:

You received an email on recently outlining the assignment for this class. The email had PowerPoint and Excel attachments pertaining to economic forecasting. Just about everyone (including me) was surprised by the severity of economic outcomes during the fall of 2008. The economists at the NBER waited until October 2008 to peg the start of the recession as of December 2007. Many business executives hadn’t planned for a recession and had to cutback production and layoff employees because of lost revenue streams. And investors (professional and otherwise) were ill-prepared for the shocks to their portfolios.  

Can a review of economic history enlighten us? Could we have been better prepared? Were people just not paying attention to the signs? The economic forecasting module is going to address these issues. Thus, for the first-class assignment I want you to study the graphs in the attached Excel file and formulate “your” view of the economic landscape. The attached PowerPoint file may help provide some guidance. Rely solely on the information provided in the Excel file, other than to find explanations of the various time series measures, if necessary. There will be a follow-up assignment on this topic.

Session 2: Thursday, November 12

Lecture: Continuation of discussion from session 1

Assignment:

  1. Find relationships in the data

Session 3: Tuesday, November 17

Lecture: Working with @Risk

  1. Setting up a simple model and becoming familiar with the icons
  2. Distribution fitting

Readings:

  1. The Flaw of Averages
  2. Monte Carlo Analysis
  3. Uncertainly & Risk Analysis
  4. @Risk tutorial (pertains to version 5.5; ASU has an earlier version)

Session 4: Thursday, November 19

Lecture: Working with @Risk

  1. A more complex model

  2. Inserting correlation into a model
  3. Interpreting tornado graphs and sensitivity analysis output
Assignment to be handed in:
  1. Using the data in the assigned reading below, find the covariance and correlation between DRAM prices and Micron's stock price (worth 5 points)

Reading:

  1. How to (and How not to) Measure Correlation

Handouts:

  1. Interpretation of tornado graphs
  2. Simulation versus Single-Value Estimates in Capital Expenditure Analysis

Session 5: Tuesday, November 24

Assignment to be handed in:

  1. Interpretation of tornado graphs (see Session 4's handout)

Lecture: Working with @Risk

  1. Examine a capital budgeting model

  2. Clear up any remaining issues about how @Risk icons and running simulations

Reading:

  1. Simulation Versus Single-Value Estimates in Capital Expenditure Analysis (see Session 4's handout)

Handout:

  1. Mean reversion for a time series

Session 6: Tuesday, December 1

Assignment to be handed in:

  1. Determine a mean reversion model for a macroeconomic time series

Lecture: Converting NPV analysis to EVA analysis

Required Readings:

  1. Copeland, Koller, and Murrin: Chapters 12-13
  2. Accounting is broken: Here's how to fix it
  3. Focused Finance
  4. Is EVA equivalent to DCF

Handout:

  1. Excel file to be emailed to students

Session 7: Thursday, December 3

Assignments to be handed in:

  1. Convert the NPV analysis provided in the Excel file (see Session 6) to an EVA analysis
  2. Provide a simulation analysis of the risks associated with the NPV-EVA assignment -- the discussion must include scenario analysis

Session 8: Tuesday, December 8

Lecture: Revisit economic forecasting -- Does it make sense to simulate an economic forecast? 

  1. More fully examine relationships that exist in the macroeconomic data

Session 9: Thursday, December 10

Lecture: Address remaining issues about the economic forecasting assignment

Session 10: Tuesday, December 15

Assignment: Economic forecast team presentations