CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 02:49 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS33/3 with known counts
OPENALEX CITATIONS133/3 with known counts
OPENALEX MEAN4.33Per article with a known count
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topic: Financial Analysis and Corporate Governance Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

University of Santo Tomas33/3 records with data

Countries

Philippines33/3 records with data

Primary topics

Financial Analysis and Corporate Governance33/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T02:49:23.477835+00:00. Source totals are never added together.
Research side by side

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Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

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Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS1.0

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS13
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY4.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 22 Oct 2026 01:49 UTC — 22 Oct 2026 02:49 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20121+0Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.

The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.

Annual history available for 3 / 3 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-22T01:49:30.325509+00:00 — 2026-10-22T02:49:23.477835+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications233/3
2021All selected publications133/3
2022All selected publications333/3
2023All selected publications033/3
2024All selected publications533/3
2025All selected publications233/3
2026All selected publications033/3

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean1.0
Median1
No citations11–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Finance & Banking Studies
SSBFNET
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
23132/21.51.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Price-Earnings Multiple as an Investment Assessment Tool in Analyzing Stock Market Performance of Selected Universal Banks in the Philippines

Antonio Jaramillo Dayag · Fernando Trinidad

International Journal of Research in Business and Social Science · 2019

Read abstract

Price-Earning Ratio or P/E Multiple is a widely used, straightforward investment assessment tool in developed countries. However, the method has not been utilized as much in stock market performance analysis in developing countries such as the Philippines. Using the top ten universal banks in the country, this paper utilized Price-Earnings Ratio [PER] as valuation tool and dependent variable, and sought to determine its value drivers. Used as independent variables are macroeconomic variables gross domestic product [GDP] growth rate, inflation rate, annual interest rate; stock market index Philippine Stock Exchange [PSEi]; and firm-specific variables return on equity [ROE], growth rate of ROE, growth rate of earnings per share, dividend payout ratio [DPO, growth rate of income, and price-book value [PBV] ratio. Results showed that among the independent variables, ROE, PBV ratio, and PSE index are statistically significant. The model’s (R2) is 63.7%, which is a fairly good fit.
  

DOI 10.20525/ijrbs.v8i4.2902 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

Assessment of the correlation between price-earnings ratio and stock market returns of universal banks in the Philippines

Antonio Jaramillo Dayag · Fernando Trinidad

International Journal of Research in Business and Social Science · 2019

Read abstract

Universal banks are important economic drivers in the Philippines since they provide the financial backbone for businesses and investments. Universal banks comprise 90% of the country’s banking system resources. Eleven [11] of the twenty-one [21] universal banks in the country are listed in the Philippine Stock Exchange, and these banks are the top universal banks based on capitalization. Price to Earnings Ratio [PER] is a commonly utilized investment assessment tool and this ratio indicates how much investors are willing to pay for a stock and is calculated as the ratio of the stock price over earnings per share. Since the stock price is dictated by the stock market, this paper seeks to determine if the P/E ratio of universal banks in the Philippines is correlated to its stock returns, the implication of which is how to form an appropriate balance between stock price volatility and banks’ valuation. The paper uses panel data of the 11 listed universal banks from 2010 to 2018, using Pearson Correlation. The study resulted in a generally weak correlation, however, there were banks that exhibited strong, positive, significant correlation.

DOI 10.20525/ijrbs.v8i5.4811 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

What Drives Stock Market Performance of Banks / Universal Banks? A Critical Examination of Literature

Antonio Jaramillo Dayag · Fernando L. Trinidad

International Journal of Finance & Banking Studies · 2019

Read abstract

Universal banks combine commercial loan services and public deposit functions with investment, and other services such as home and auto financing, mutual funds, pension and insurance to name a few. The importance of universal banks have been recognized in emerging economies, and its growth spur economic growth and development of many countries in the world. Most universal banks are listed in stock exchanges, and as financial intermediaries, not only these banks expand their already wide portfolios but they allow more global investors into the fold, almost like a foreign direct investor, the difference only is, the investor don’t have to leave the home country. Since these banks are considered to be among the key players in stock markets, and this study seeks to understand what factors drive their performance in stock exchange so that global investors be aided in making investment decisions on universal banks.

DOI 10.20525/ijfbs.v8i3.4920 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

What Drives Stock Market Performance of Banks / Universal Banks? A Critical Examination of Literature

Antonio Jaramillo Dayag · Fernando L. Trinidad

International Journal of Finance & Banking Studies · 2019

Read abstract

Universal banks combine commercial loan services and public deposit functions with investment, and other services such as home and auto financing, mutual funds, pension and insurance to name a few. The importance of universal banks have been recognized in emerging economies, and its growth spur economic growth and development of many countries in the world. Most universal banks are listed in stock exchanges, and as financial intermediaries, not only these banks expand their already wide portfolios but they allow more global investors into the fold, almost like a foreign direct investor, the difference only is, the investor don’t have to leave the home country. Since these banks are considered to be among the key players in stock markets, and this study seeks to understand what factors drive their performance in stock exchange so that global investors be aided in making investment decisions on universal banks.

DOI 10.20525/ijfbs.v8i3.4920 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Assessment of the correlation between price-earnings ratio and stock market returns of universal banks in the Philippines

Antonio Jaramillo Dayag · Fernando Trinidad

International Journal of Research in Business and Social Science · 2019

Read abstract

Universal banks are important economic drivers in the Philippines since they provide the financial backbone for businesses and investments. Universal banks comprise 90% of the country’s banking system resources. Eleven [11] of the twenty-one [21] universal banks in the country are listed in the Philippine Stock Exchange, and these banks are the top universal banks based on capitalization. Price to Earnings Ratio [PER] is a commonly utilized investment assessment tool and this ratio indicates how much investors are willing to pay for a stock and is calculated as the ratio of the stock price over earnings per share. Since the stock price is dictated by the stock market, this paper seeks to determine if the P/E ratio of universal banks in the Philippines is correlated to its stock returns, the implication of which is how to form an appropriate balance between stock price volatility and banks’ valuation. The paper uses panel data of the 11 listed universal banks from 2010 to 2018, using Pearson Correlation. The study resulted in a generally weak correlation, however, there were banks that exhibited strong, positive, significant correlation.

DOI 10.20525/ijrbs.v8i5.4811 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Price-Earnings Multiple as an Investment Assessment Tool in Analyzing Stock Market Performance of Selected Universal Banks in the Philippines

Antonio Jaramillo Dayag · Fernando Trinidad

International Journal of Research in Business and Social Science · 2019

Read abstract

Price-Earning Ratio or P/E Multiple is a widely used, straightforward investment assessment tool in developed countries. However, the method has not been utilized as much in stock market performance analysis in developing countries such as the Philippines. Using the top ten universal banks in the country, this paper utilized Price-Earnings Ratio [PER] as valuation tool and dependent variable, and sought to determine its value drivers. Used as independent variables are macroeconomic variables gross domestic product [GDP] growth rate, inflation rate, annual interest rate; stock market index Philippine Stock Exchange [PSEi]; and firm-specific variables return on equity [ROE], growth rate of ROE, growth rate of earnings per share, dividend payout ratio [DPO, growth rate of income, and price-book value [PBV] ratio. Results showed that among the independent variables, ROE, PBV ratio, and PSE index are statistically significant. The model’s (R2) is 63.7%, which is a fairly good fit.
  

DOI 10.20525/ijrbs.v8i4.2902 Crossref citations11 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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