Quantitative Methods for Finance

MET AD 685

Finance is a highly competitive and dynamic industry that demands quantitative oriented professionals. This course will equip students with the empirical techniques which are used in the analysis of financial markets with a strong focus on financial applications using actual data.

The goal of this course is to provide students with a number of econometric techniques which are used in the analysis of financial markets based on asset pricing and corporate finance models. In particular, the emphasis will be on classical linear regression models, time series analysis, and limited dependent variable models applied to the following topics: predictability of asset returns; event study analysis; econometric tests of the CAPM and multifactor models; volatility modelling, etc.

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A1 Julio EPC 208 M 6:00 pm-8:45 pm Prereq: ADR100

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A2 Law CDS 264 T 6:00 pm-8:45 pm Prereq: ADR100

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A4 Law HAR 315 R 6:00 pm-8:45 pm Prereq: ADR100

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A5 Julio PHO 201 W 6:00 pm-8:45 pm

FALL 2024 Schedule

Section Instructor Location Schedule Notes
O1 Julio ARR 12:00 am-12:00 am Students are assigned into class sections of about 15 wi th a member of the teaching team. F1 student visa holde r s should contact the MET Administrative Science Depart me nt: adminsc@bu.edu prior to registering for any onlin e c lass

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A1 Julio PSY B53 M 6:00 pm-8:45 pm Prereq: ADR100

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A2 Julio CAS 233 W 2:30 pm-5:15 pm Prereq: ADR100

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
A3 Gil Vasquez COM 215 R 6:00 pm-8:45 pm

SPRG 2025 Schedule

Section Instructor Location Schedule Notes
O1 Julio ARR 12:00 am-12:00 am Students are assigned into class sections of about 15 wi th a member of the teaching team. F1 student visa holde r s should contact the MET Administrative Science Depart me nt: adminsc@bu.edu prior to registering for any onlin e c lass

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.