COURSE
NUMBER: MBA 222.1
COURSE
TITLE: Financial Information Analysis
UNITS
OF CREDIT: 3 Units
INSTRUCTOR:
Richard Sloan
E-MAIL
ADDRESS: richard_sloan@haas.berkeley.edu
CLASS
WEB PAGE LOCATION: https://bspace.berkeley.edu
MEETING
DAY(S)/TIME: Tuesday and Thursday, 9:30 AM - 11:00AM
PREREQUISITE(S):
MBA 202 Financial Accounting
CLASS
FORMAT: Lectures and case discussions
REQUIRED
READINGS: Textbook supplemented with cases
BASIS
FOR FINAL GRADE: Case write ups, group project, and final exam
ABSTRACT
OF COURSE'S CONTENT AND OBJECTIVES: The course provides students with a
framework and practical tools for analyzing financial statement data and
assessing the business standing and valuation of firms. At the end of the
course you will be able to critically review the information in financial
disclosures and use it to gauge firms' performance and equity value. In class,
we will discuss concepts from accounting and finance that are useful for
financial statement analysis and valuation, and apply them in case studies and
on live market data.
The
course is useful for those planning a career in finance, whether it is
investment banking, portfolio management, securities analysis, or venture
capital. It is also valuable for those
aspiring to be consultants or business analysts.
BIOGRAPHICAL
SKETCH:
Richard
G. Sloan is the L. H. Penney Professor of Accounting at The University of
California’s Haas School of Business.
From 2006 to 2008, Sloan was Managing Director and Head of Equity
Research at Barclays Global Investors.
Previously, Professor Sloan was the Victor L. Bernard
PricewaterhouseCoopers Collegiate Professor of Accounting, Professor of Finance,
and Director of the Tozzi Electronic Finance Center
at the University of Michigan’s Ross School of Business. He also served for
five years on the faculty of the University of Pennsylvania’s Wharton School.
Professor Sloan’s research focuses on the role of accounting information in
investment decisions and is published in leading accounting, finance, and
economics journals. He is widely recognized and has received numerous awards
for his pioneering research on earnings quality. He received his PhD from the
University of Rochester.