Description:
Concepts and mechanics of financial statements. Supply of and demand for accounting information in financial markets. Uses of information in performance evaluation for investment and credit decisions.
Description:
Concepts of financial analysis including both cash flow and earnings based models for business valuation. Supply of and demand for accounting information in financial markets.
Description:
Concepts of financial analysis including both cash flow and earnings based models for business valuation. Supply of and demand for accounting information in financial markets.
Semester:
Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MBA 802 or ACC 301
Recommended Background:
It is recommended that MBA students take ACC 805 prior to enrollment in this course.
Restrictions:
Open only to master's students in the Accounting major or MBA students or approval of department.
Description:
Concepts of financial analysis including both cash-flow and earnings-based models for business valuation. Supply of and demand for accounting information in financial markets.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MBA 802 or ACC 301
Recommended Background:
It is recommended that MBA students take ACC 805 prior to enrollment in this course.
Restrictions:
Open to master's students in the Accounting major and open to MBA students or approval of department.
Description:
Concepts of financial analysis using U.S. and international accounting information. Cash-flow and earnings based models for business valuation, and supply of and demand for accounting information in financial markets.
Semester:
Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MBA 802 or ACC 301
Recommended Background:
Intermediate financial accounting
Restrictions:
Open to master's students in the Accounting Major or approval of department.
Description:
Frameworks and methodologies for profitability and credit risk analyses. Tools and technologies to extract large scale financial statement information for valuation and decision-making. Emphasis on using big data from real world to improve critical thinking in making investment decisions.