Dissertations, Theses, and Capstone Projects
Date of Degree
9-2019
Document Type
Dissertation
Degree Name
Ph.D.
Program
Economics
Advisor
Liuren Wu
Committee Members
Matthew Baker
Matthew Nagler
Subject Categories
Economics | Finance | Finance and Financial Management
Keywords
Idiosyncratic, Volatility, Fama, Fama French, Alpha, CAPM
Abstract
In this dissertation, I propose new factor structures that are based on the Fama-French style factors but include additional locations like the industry groups and the exchanges where the stocks are traded. I show that the stock returns are clustered around the industry groups and the exchanges. Idiosyncratic volatility calculated using the new factor structure models tend to be smaller than those calculated using the traditional Fama-French model. By sorting portfolios using the idiosyncratic volatility computed using the new factor models, a trader can gain larger profits compared to sorting the portfolio using the traditionally calculated idiosyncratic volatility.
Recommended Citation
Elhadary, Ossama, "New Factor Structure Models and Idiosyncratic Volatility" (2019). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/3494