Apr 19, 2024  
2019-2020 Undergraduate Bulletin 
    
Catalog Navigation
  Bulletin Home
  Course Descriptions
  Our Mission
  About Our University
  Academic Honesty
  Academic Policies and Procedures
  Admission (Undergraduate)
  Archived Bulletins
  Tuition, Financial Aid and Scholarships
  Bachelor’s Programs
  Majors and Minors
  Distance Learning
  Distribution Courses
  Dual Degrees (Undergraduate/Graduate Degrees)
  Programs (Alphabetically, University-wide)
  Study Abroad
  Accelerated Programs
  Hofstra College of Liberal Arts and Sciences (HCLAS)
  School of Humanities, Fine and Performing Arts of HCLAS
  School of Natural Sciences and Mathematics of HCLAS
  Peter S. Kalikow School of Government, Public Policy and International Affairs of HCLAS
  School of Education of HCLAS
  Frank G. Zarb School of Business
  The Lawrence Herbert School of Communication
  Fred DeMatteis School of Engineering and Applied Science
  School of Health Professions and Human Services
  Hofstra Northwell School of Graduate Nursing and Physician Assistant Studies
  Hofstra University Honors College
  New Opportunities at Hofstra (NOAH) Program
  Academic Calendars and Deadlines
  Facilities and Services
  General Information and Definitions
  HEGIS Codes
  Printable Forms
  @HofBulletins on Twitter
  My Personal Catalog
HELP
2019-2020 Undergraduate Bulletin [ARCHIVED BULLETIN]

Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Personal Catalog (opens a new window)

MATH 158 - Stochastic Process and Brownian Motion

Semester Hours: 3
Periodically
The course will cover various stochastic processes, the relation between the probability density function and the Feynman-Kac equation, and the effects of changing the probability density function through the use of the Radon-Nikodym derivative. Results will be applied to the pricing of derivatives. Topics covered by this course include the following: Sigma algebra and filtration; Martingale process; stopping times; Doob-Meyer decomposition; Markov property; Brownian motion; the Radon-Nikodym derivative; Girsanov Theorem; the stochastic integral; and the Feynman-Kac Formula.

Prerequisite(s)/Course Notes:
MATH 138 . May not be taken on a Pass/D+/D/Fail basis.




Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Personal Catalog (opens a new window)