Influence of credit risk indicators on the financial performance of Philippine Universal Banks: Basis for improving financial decisions (Record no. 24100)

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001 - CONTROL NUMBER
control field 92593
003 - CONTROL NUMBER IDENTIFIER
control field ft8454
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251028141250.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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040 ## - CATALOGING SOURCE
Description conventions rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title engtag
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HG3691 A46 2023
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number .
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Christian S. Almirol, Nathaniel D. Arizala, Franchezca Pauline B. Biasca, Regina Satingin, Mary Joyce C. Lozano, Andrea B. Sarmiento
245 #0 - TITLE STATEMENT
Title Influence of credit risk indicators on the financial performance of Philippine Universal Banks: Basis for improving financial decisions
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Manila:
Name of producer, publisher, distributor, manufacturer PLM,
Date of production, publication, distribution, manufacture, or copyright notice c2023
300 ## - PHYSICAL DESCRIPTION
Other physical details Undergraduate Thesis: (BSBA major in Financial Management) - Pamantasan ng Lungsod ng Maynila, 2023
336 ## - CONTENT TYPE
Content type code text
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type code unmediated
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
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Carrier type term volume
Source rdacarrier
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ABSTRACT Universal banks contribute significantly to economic growth worldwide. Banks provide savings, deposits, investments, credit, and loans to consumers, corporations, and the government as trusted intermediaries. However, it is also a source of the most significant risk in banks worldwide, the credit risk. This study aims to determine the correlation of credit risk indicators on the financial performance of universal banks in the Philippines. Credit risk indicators include the Capital Adequacy Ratio (CAR), Non-Performing Loans Ratio (NPLR), and Loan Loss Provision. In contrast, financial performance indicators include Return on Assets (ROA) and Return on Equity (ROE). The study analyzes financial data from the 16 Philippine universal banks from 2018 to 2021 and formulates hypotheses relating to the subject matter. This study employed descriptive statistics and inferential statistics to analyze the data. The findings revealed that ROA has no significant relationship with CAR, NPLR, or LLP. However, the correlation coefficients of ROA and CAR showed a negative and weak relationship, while ROA and its relationship to NPLR and LLP are positive and weak. The test results also revealed that ROE has no significant relationship with the three credit risk indicators. However, ROE and CAR exhibited negative and weak correlations, whereas ROE and its relationship to NPLR and LLP had positive and weak correlations. KEYWORDS: Credit Risk Indicators, Financial Performance, Universal Banks, Capital Adequacy Ratio, Non-performing Loans Ratio, Loan Loss Provision, Return on Asset, Return on Equity
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT Universal banks contribute significantly to economic growth worldwide. Banks provide savings, deposits, investments, credit, and loans to consumers, corporations, and the government as trusted intermediaries. However, it is also a source of the most significant risk in banks worldwide, the credit risk. This study aims to determine the correlation of credit risk indicators on the financial performance of universal banks in the Philippines. Credit risk indicators include the Capital Adequacy Ratio (CAR), Non-Performing Loans Ratio (NPLR), and Loan Loss Provision. In contrast, financial performance indicators include Return on Assets (ROA) and Return on Equity (ROE). The study analyzes financial data from the 16 Philippine universal banks from 2018 to 2021 and formulates hypotheses relating to the subject matter. This study employed descriptive statistics and inferential statistics to analyze the data. The findings revealed that ROA has no significant relationship with CAR, NPLR, or LLP. However, the correlation coefficients of ROA and CAR showed a negative and weak relationship, while ROA and its relationship to NPLR and LLP are positive and weak. The test results also revealed that ROE has no significant relationship with the three credit risk indicators. However, ROE and CAR exhibited negative and weak correlations, whereas ROE and its relationship to NPLR and LLP had positive and weak correlations. KEYWORDS: Credit Risk Indicators, Financial Performance, Universal Banks, Capital Adequacy Ratio, Non-performing Loans Ratio, Loan Loss Provision, Return on Asset, Return on Equity
526 ## - STUDY PROGRAM INFORMATION NOTE
Classification Filipiniana
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term academic writing
942 ## - ADDED ENTRY ELEMENTS
Institution code [OBSOLETE] lcc
Item type Thesis/Dissertation
Koha issues (borrowed), all copies 1
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Fund Source Total Checkouts Full call number Barcode Date last seen Date last checked out Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-03-15 Donation 1 HG3691 A46 2023 FT8454 2025-10-28 2025-10-28 Thesis/Dissertation

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