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
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)
Recommended Citation
See, I. N., & Santos, J. C. (1990). Mortgage loans evaluation using Markov chains analysis. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/16323
