Mortgage loans evaluation using Markov chains analysis

Date of Publication

1990

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Applied Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Abstract/Summary

Markov Chains analysis is believed to be the best method for evaluating existing mortgage loans since it can predict the future state of a system even if the system is undergoing frequent transitions among a number of states.A Pascal program was made to expedite the process of changing raw data into probability states that would generate a probability result of whether the loan would be paid-up or charged off, taking into account the personal analysis of the loan officer. The program is menu-driven so it could easily be accessed. The outcome of the analysis could be presented either on screen or on paper as specified on the menu.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU07472

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

67 numb. leaves

Keywords

Mortgage loans; Markov processes; Cost effectiveness; Programming (Mathematics)

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