Philippine financial system macrofinancial vulnerabilities: Assessing and forecasting systematic risk using LOGIT and VAR: Thesis
Date of Publication
2013
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Commerce Major in Management of Financial Institutions
Subject Categories
Finance and Financial Management
College
Ramon V. Del Rosario College of Business
Department/Unit
Financial Management
Thesis Adviser
Junette A. Perez
Defense Panel Chair
Alfredo M. Santoyo
Defense Panel Member
Michael Manalang
Manuelito Co
Abstract/Summary
This paper focuses on assessing and quantifying systemic risk by constructing a model employing multivariate analysis using discrete choice models (LOGIT) for determining the best indicator of systemic events (i.e. financial friction), and vector auto regressions (VAR) for quantifying systemic risk. The study also attempts to forecast expected shortfalls in the financial system and the macroeconomy during systemic periods. In the fulfillment of the objectives of the study, macrofinancial indicators are accounted for as independent variables that signal financial distress. Lastly, this research also aims to conduct a forecast about the effects of systemic events through the integrated model. The researchers believe that the financial systems and the macroeconomy in general are interconnected networks that link one institution to another. Therefore it can be inferred that the effects of financial frictions are not solely borne by a single entity but rather by the system as a whole. Such shocks stemming from financial frictions follow a domino-effect mechanism wherein the impact is carried over several units of the financial system and the macroeconomy. The 1997 Asian financial crisis and the 2007-2009 global financial crises are alarming testaments that the financial systems are in fact interconnected. However, the damaged several economies had to endure understanding about systemic risk, especially in the Philippine setting, to mitigate the chances of crises from happening again.
Abstract Format
html
Language
English
Format
Accession Number
TU21657
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
111, [115] leaves : illustrations
Keywords
Financial institutions--Management; Financial risk--Philippines
Recommended Citation
Abino, D. C., Adrias, R. C., Damot, J. A., & Virtucio, Z. C. (2013). Philippine financial system macrofinancial vulnerabilities: Assessing and forecasting systematic risk using LOGIT and VAR: Thesis. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/18463