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, 01:32 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS01/3 with known counts
OPENALEX CITATIONS03/3 with known counts
OPENALEX MEAN0.0Per article with a known count
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topic: Credit Risk and Financial Regulations 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.

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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 Central Florida1Menlo College1University of South Africa13/3 records with data

Countries

Tunisia1United States1South Africa13/3 records with data

Primary topics

Credit Risk and Financial Regulations33/3 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.

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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: 2026-10-22T01:32:34.333547+00:00. Source totals are never added together.
Research side by side

Compare journals

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

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Finance & Banking Studies

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 CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 1 / 3 publications (33.3%). Latest observation: 21 Oct 2026, 00:14 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 CITATIONS0
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 22 Oct 2026 00:44 UTC — 22 Oct 2026 01:32 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations31–506–20021+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): 2026-10-22T00:44:39.232511+00:00 — 2026-10-22T01:32:34.333547+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 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: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · 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: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · 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 publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications033/3
2025All selected publications033/3
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.

Mean0.0
Median0
No citations11–506–20021+0Unknown2

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 Business Ecosystem & Strategy
Bussecon International Academy
1001/10.000.01/1 · 100.0%
International Journal of Finance & Banking Studies
SSBFNET
2—02/2———0/2 · 0.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Investors can be confident of high credit ratings furnished by credit rating agencies for green bonds

Chekani Nkwaira

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The study’s pertinence lies in its focus on the performance of green bond markets in addressing environmental concerns. The purpose of this study is to ascertain if current issuances of high credit ratings by credit rating agencies can be considered safe by investors, through the consideration of the margin of safety, amidst the prevailing high credit growth.  A quantitative research methodology determining the margin of safety of issuers, using operating incomes and interest expense, derived from annual financial statements of 30 randomly selected companies, which are considered adequate for inferential purposes, from the Climate Bond Initiative database is undertaken. The decline in EBIT before the balance after interest expense is paid becomes zero is ascertained in conjunction with the allocated credit rating.  A sampled mean of a margin of safety of 58.79 % leads to an estimated population mean results of a margin of safety above or equal 48% and below or equal to 68.41%, at 95% confidence level and a standard deviation of 27.41%. The corresponding investment credit ratings reflect a 77% in relative frequency of which 3.3% is assigned the highest AAA rating. The results demonstrate that it takes close to a minimum of 50% and a maximum of 68% deterioration in operating income before balances after interest expense are wiped out. Hence the study concludes that the prevailing credit ratings being issued by credit rating agencies can be trusted by green bond investors based on the substantive margin of safety figures of issuers.

DOI 10.36096/ijbes.v8i3.12110 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The Sinking Fund Provision: Reinvestment Risk, Credit Improvement, and Growth Options

Tewari, Manish · Ramanlal, Pradipkumar

International Journal of Finance & Banking Studies · 2026

Read abstract

We study the sinking fund provision in 1,533 nonconvertible corporate bonds issued from 1980 to 1996 with the year 1996 being the last year of inclusion for these provisions in fixed coupon non-convertible corporate bonds. The period 1980 to 1996 is classified as the period of high interest rates (Tewari, Byrd, and Ramanlal, 2015). We find that the provision addresses agency issues due to reinvestment risk, credit improvement, and growth options. When the interest rates are high, investment grade issues with sinking fund have longer maturities (> 20 years) by a ratio exceeding 4:1, while non-sinking fund issues have shorter maturities (≤ 20 years) by a ratio of about 2:1. High yield issues with sinking fund experience credit risk improvement, while non-sinking fund issues experience credit risk deterioration. When the rates are low and expected to rise, the provision is likely to present accumulation threat to the firm thereby, deterrent to its use by the firms. Also, firms use the sinking fund as a call option to capture the benefits of growth. These results suggest that the sinking fund provision has the potential to make a comeback in the corporate debt in a high-interest rate environment and when the rates are likely to fall. The current environment of persistent high rates presents conditions ripe for inclusion of the sinking fund provision in the corporate bonds.

DOI 10.20525/ijfbs.v15i2.4949N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Calibrating the LMN Model based on the J-law to Implement the Credit Risk in the Economic Scenarios Generator

Chaouch, Leila · Jerbi, Yacin

International Journal of Finance & Banking Studies · 2026

Read abstract

The aim of this paper is to calibrate the Longstaff, Mithal and Neis (2005) model (LMN model) based on the J-law (see Jerbi (2015) to implement the credit risk in the economic scenarios generator. The LMN model, based on the assumptions of the normality of the risks is used to establish a link between the spread, the probability of default and the liquidity risk. The related assumptions seem unrealistic given the depth of the distribution that characterizes the financial and economic data. In this context, we develop an LMN model based on the J-law taking into account the effects of Skewness and Kurtosis related to the two series of the CDS premium and the corporate bond prices. We use a simulated data that are from January 2009 to December 2016. We estimate the model parameters. The LMN model based on the J-law fit better with the reality than the one based on the normal Law.      

DOI 10.20525/ijfbs.v14i4.4773N/A Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Investors can be confident of high credit ratings furnished by credit rating agencies for green bonds

Chekani Nkwaira

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The study’s pertinence lies in its focus on the performance of green bond markets in addressing environmental concerns. The purpose of this study is to ascertain if current issuances of high credit ratings by credit rating agencies can be considered safe by investors, through the consideration of the margin of safety, amidst the prevailing high credit growth.  A quantitative research methodology determining the margin of safety of issuers, using operating incomes and interest expense, derived from annual financial statements of 30 randomly selected companies, which are considered adequate for inferential purposes, from the Climate Bond Initiative database is undertaken. The decline in EBIT before the balance after interest expense is paid becomes zero is ascertained in conjunction with the allocated credit rating.  A sampled mean of a margin of safety of 58.79 % leads to an estimated population mean results of a margin of safety above or equal 48% and below or equal to 68.41%, at 95% confidence level and a standard deviation of 27.41%. The corresponding investment credit ratings reflect a 77% in relative frequency of which 3.3% is assigned the highest AAA rating. The results demonstrate that it takes close to a minimum of 50% and a maximum of 68% deterioration in operating income before balances after interest expense are wiped out. Hence the study concludes that the prevailing credit ratings being issued by credit rating agencies can be trusted by green bond investors based on the substantive margin of safety figures of issuers.

DOI 10.36096/ijbes.v8i3.12110 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The Sinking Fund Provision: Reinvestment Risk, Credit Improvement, and Growth Options

Tewari, Manish · Ramanlal, Pradipkumar

International Journal of Finance & Banking Studies · 2026

Read abstract

We study the sinking fund provision in 1,533 nonconvertible corporate bonds issued from 1980 to 1996 with the year 1996 being the last year of inclusion for these provisions in fixed coupon non-convertible corporate bonds. The period 1980 to 1996 is classified as the period of high interest rates (Tewari, Byrd, and Ramanlal, 2015). We find that the provision addresses agency issues due to reinvestment risk, credit improvement, and growth options. When the interest rates are high, investment grade issues with sinking fund have longer maturities (> 20 years) by a ratio exceeding 4:1, while non-sinking fund issues have shorter maturities (≤ 20 years) by a ratio of about 2:1. High yield issues with sinking fund experience credit risk improvement, while non-sinking fund issues experience credit risk deterioration. When the rates are low and expected to rise, the provision is likely to present accumulation threat to the firm thereby, deterrent to its use by the firms. Also, firms use the sinking fund as a call option to capture the benefits of growth. These results suggest that the sinking fund provision has the potential to make a comeback in the corporate debt in a high-interest rate environment and when the rates are likely to fall. The current environment of persistent high rates presents conditions ripe for inclusion of the sinking fund provision in the corporate bonds.

DOI 10.20525/ijfbs.v15i2.4949N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Calibrating the LMN Model based on the J-law to Implement the Credit Risk in the Economic Scenarios Generator

Chaouch, Leila · Jerbi, Yacin

International Journal of Finance & Banking Studies · 2026

Read abstract

The aim of this paper is to calibrate the Longstaff, Mithal and Neis (2005) model (LMN model) based on the J-law (see Jerbi (2015) to implement the credit risk in the economic scenarios generator. The LMN model, based on the assumptions of the normality of the risks is used to establish a link between the spread, the probability of default and the liquidity risk. The related assumptions seem unrealistic given the depth of the distribution that characterizes the financial and economic data. In this context, we develop an LMN model based on the J-law taking into account the effects of Skewness and Kurtosis related to the two series of the CDS premium and the corporate bond prices. We use a simulated data that are from January 2009 to December 2016. We estimate the model parameters. The LMN model based on the J-law fit better with the reality than the one based on the normal Law.      

DOI 10.20525/ijfbs.v14i4.4773N/A Crossref citations0 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 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
ojs-rest21 Oct 2026 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:14 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 00:22 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
Full import history & methodology →