Liang Peng

FIN 455 – QUANT BUSINESS ANALYSIS

This course provides students with working knowledge of some widely used quantitative methods, such as Monte Carlo simulations, t-tests, linear regressions, nonlinear regressions, regressions with dummy variables, and regressions with interacting explanatory variables, as well their applications in business. The course will focus on understanding and applying each method, but not on statistical theory or their proof. Monte Carlo simulations will be used to substitute for mathematical proofs. By the end of the course, students should understand the purposes of the above methods and how to use them to solve real estate, financial, marketing, and risk management problems. Students should also be able to interpret results in ways that are correct, insightful, and useful, should be aware of potential problems of each method, such as the omitted variable bias, multicollinearity, heteroskedasticity of regressions, and should know how to make corrections if these problems are present. Students should also have developed working knowledge of R, which is a programming language and software environment widely used by quantitative analysts. Students should know how to use R to conduct basic data manipulation, do simple Monte Carlo simulations, do t-tests, and run linear and non-linear regressions.

R M 450 – Contemporary Issues in Real Estate Markets

Historical performance, land use issues, market valuation, real estate development, public policy issues.

R M 496 – Independent Studies

Creative Projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.

REST 575 – QUANT ANALYSIS

The course provides students with working knowledge of some of the widely used quantitative methods and their applications in business, as well as using statistical analysis software to apply such methods for business analyses and decision-making. By the end of the course, students will understand the purposes of these methods and how to use them to solve real estate, financial, marketing, and risk management problems.- Students will be able to interpret results in ways that are correct, insightful, and useful.- Students will be aware of potential problems of each method and know how to make corrections if these problems are present.- Students will also have developed working knowledge of statistical analysis software widely used by quantitative analysts.

REST 590 – COLLOQUIUM

Continuing seminars that consist of a series of individual lectures by faculty, students, or outside speakers.

REST 596 – Individual Studies

Creative projects, including nonthesis research, which are supervised on an individual basis and which fall ouside the scope of formal courses.

REST 600 – Thesis Research

REST 890 – Colloquium

Continuing, professionally oriented seminars that consist of a series of individual lectures by faculty, students, or outside speakers.

RM 450 – Cont Iss R Est Mkt

Historical performance, land use issues, market valuation, real estate development, public policy issues.

RM 475 – QUANT BUSINESS ANALYSIS

This course provides students with working knowledge of some widely used quantitative methods, such as Monte Carlo simulations, t-tests, linear regressions, nonlinear regressions, regressions with dummy variables, and regressions with interacting explanatory variables, as well their applications in business. The course will focus on understanding and applying each method, but not on statistical theory or their proof. Monte Carlo simulations will be used to substitute for mathematical proofs. By the end of the course, students should understand the purposes of the above methods and how to use them to solve real estate, financial, marketing, and risk management problems. Students should also be able to interpret results in ways that are correct, insightful, and useful, should be aware of potential problems of each method, such as the omitted variable bias, multicollinearity, heteroskedasticity of regressions, and should know how to make corrections if these problems are present. Students should also have developed working knowledge of R, which is a programming language and software environment widely used by quantitative analysts. Students should know how to use R to conduct basic data manipulation, do simple Monte Carlo simulations, do t-tests, and run linear and non-linear regressions.

RM 497 – Special Topics

Formal courses given infrequently to explore, in depth, a comparatively narrow subject which may be topical or of special interest.