Michael Ehrlich
Professor, Martin Tuchman School of Management
- michael.a.ehrlich@njit.edu
- 973-596-5305
- 2014 Central Avenue Building (CAB)
About Me
Michael grew up in Middletown, RI with two siblings; Barbara and Steven. He lives in New York, NY, is married to Sandra and has three children; David, Daniel and Alison.
Education
Ph.D.; Princeton University; Economics - Finance Thesis; 1987
B.A.; Yale University; Economics; 1981
Awards & Honors
2026 Fall Courses
BDS 725 - INDEPENDENT RESEARCH I
IS 488 - INDEPENDENT STUDY IN INFO
IS 726 - INDEPENDENT STUDY II
IS 790A - DOCT DISSERTATION & RES
IS 792 - PRE-DOCTORAL RESEARCH
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 700B - MASTER'S PROJECT
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
IS 491 - SENIOR PROJECT - IS
FIN 430 - OPTIONS AND FUTURES MARKETS
IS 725 - INDEPENDENT STUDY I
BDS 790A - DOCTORAL DISSERTATION & RES
BDS 792B - PRE-DOCTORAL RESEARCH
IT 488 - INDEPENDENT STUDY
Teaching Interests
I enjoy teaching graduate and undergraduate students at both beginning and advanced levels. Financial Markets and Institutions, Corporate Finance and Entrepreneurial Finance are areas of interest.
Past Courses
Research Interests
My main research focus is on financial markets and institutions. I am especially interested in financial market failures. Some recent publications have examined Structured Investment Vehicles, a market that was created and grew to over $400 billion over 20 years before suddenly collapsing. I have also examined how financial managers can manage risk in their institutions. Recently I received support from the Leir and Ridgefield foundations to examine the causes of financial bubbles with a hope to create predictive models. I have published work examining how entrepreneurs entice business angels to provide financing for new ventures. Our results we demonstrate how angels are different from venture capital firms.
In Progress
Are Angel Investors Egotists? Evaluating Implicit Bias in Investing
We study a sample of angel investor ratings for potential investments and evaluate if there is similarity bias in the ratings. We find some evidence that angel investors tend to invest in people who are like themselves
We study a sample of angel investor ratings for potential investments and evaluate if there is similarity bias in the ratings. We find some evidence that angel investors tend to invest in people who are like themselves
Conference Paper
Journal Article
Conference Proceeding
Chapter
Other
Book Review