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% · 4/4 recordsLast OpenAlex observation 22 Oct 2026, 01:55 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS34/4 with known counts
OPENALEX CITATIONS74/4 with known counts
OPENALEX MEAN1.75Per article with a known count
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topic: Financial Markets and Investment Strategies 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.

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Institutions

Gonzaga University1Karatina University1Ba Isago University14/4 records with data

Countries

United States2Botswana1Kenya14/4 records with data

Primary topics

Financial Markets and Investment Strategies44/4 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.

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Annual history: 4/4 articles. Latest history observation: 2026-10-22T01:55:30.021168+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 Studies

Publications

Articles by publication year

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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
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS0.75

Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 CITATIONS7
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY1.754 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2.0

Observation range: 21 Oct 2026 00:22 UTC — 22 Oct 2026 01:55 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–536–20021+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

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 4 / 4 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): 2026-10-21T00:22:01.652314+00:00 — 2026-10-22T01:55:30.021168+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications044/4
2020All selected publications244/4
2021All selected publications044/4
2022All selected publications144/4
2023All selected publications144/4
2024All selected publications244/4
2025All selected publications144/4
2026All selected publications044/4

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.

Mean0.75
Median0.5
No citations21–526–20021+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
4374/40.750.550.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Equity Unit Trust Funds Flow and Stock Market Returns

Caroline Michere Ndei · Stephen Muchina · Kennedy Waweru

International Journal of Finance & Banking Studies · 2019

Read abstract

This study sought to evaluate the relationship between equity unit trust fund flows measured as purchases and sales and the Nairobi Securities Exchange (NSE) stock market return. The study employed Vector Autoregressive model and tested for Granger causality using monthly data for the period starting January 2010 to December 2017. The granger causality results showed that equity fund sales contain information that can explain stock market return and stock market return contain information that can explain equity fund purchases thus unidirectional causality. Impulse response results showed that equity fund purchases have a predominantly positive relationship with NSE stock market return and NSE stock market return have a positive relationship with equity fund purchases. This implies that an increase in stock market return will lead equity fund managers to purchase more securities and as the equity fund purchases increase, the demand for those stocks will increase causing the stock prices to increase and consequently increase stock market return. In contrast, equity fund sales are predominantly negatively related with stock market return and stock market return is also negatively related to equity funds sales. As the stock market return increase, the equity fund managers will decrease their sales. As the sales increase, the supply for those stocks will increase causing a decrease in prices and consequently a decrease in stock market return. Equity fund sales explain the variation in stock market return more than equity fund purchases while stock market return is a determinant of equity fund purchases and equity fund sales.

DOI 10.20525/ijfbs.v8i1.2632 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Performance Evaluation of Mid-Cap Retail Equity Mutual Funds

Abhay Kaushik

International Journal of Finance & Banking Studies · 2019

Read abstract

Mid-cap funds invest in stocks with a market cap between $2 billion and $10 billion. Some of the mid-cap firms recently overcame their small-cap status, but are still in the high growth mode with a better market positioning and stronger balance sheet. Because of their size and status, mid-cap stocks offer a unique platform to portfolio managers of mid-cap funds to earn superior returns by using their selectivity skills. This study analyzes the performance and persistence of performance of 257 U.S. domiciled retail mid-cap funds from January 2000 to December 2017. The results of this study suggest that despite the interesting platform offered by these stocks, it is not easy for fund managers to pick the stocks that beat the market. The results of this study show that mid-cap funds do not outperform the market and their poor performance persists over time.

DOI 10.20525/ijfbs.v8i2.3011 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Overreaction in Trading

Justin Morscheck

International Journal of Finance & Banking Studies · 2019

Read abstract

Using intraday trading data during the 2008 financial crisis, from the Standard and Poor’s Depository Receipt (SPDR) market, we test for evidence of the informational advantage of traders. In addition, we examine the effect of pricing error on trade price. If traders are rational, and have accurate information, they will only purchase an asset at a premium (discount) if they have reason to believe that the fundamental value of that asset will increase (decrease). Our results show that the trading price of the SPDR does not significantly predict the movement of underlying asset values. This finding is consistent with traders overreacting to disparities between price and underlying value during the financial crisis.

DOI 10.20525/ijfbs.v7i4.1960 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The role of Exchange Traded Funds in the price discovery process of stocks listed on the Botswana Stock Exchange

Edson Kambeu

International Journal of Finance & Banking Studies · 2019

Read abstract

In this paper we analyse the role of Exchange Traded Funds (ETFs) in the price discovery process of stocks listed at the Botswana Stock Exchange.Using daily returns data covering the period 3 January 2013 to 31 December 2015 for Beta Betta ETF and Domestic Company Indices, we utilize a VECM model to find out whether the Betta Beta ETF is playing a significant role in the price discovery process of stocks listed on the Botswana Stock Exchange. We found the error correction term to be statistically significant thereby confirming that the Beta Betta ETF is playing a significant role in the price discovery of stocks listed on the Botswana Stock Exchange.

DOI 10.20525/ijfbs.v6i1.6620 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

The role of Exchange Traded Funds in the price discovery process of stocks listed on the Botswana Stock Exchange

Edson Kambeu

International Journal of Finance & Banking Studies · 2019

Read abstract

In this paper we analyse the role of Exchange Traded Funds (ETFs) in the price discovery process of stocks listed at the Botswana Stock Exchange.Using daily returns data covering the period 3 January 2013 to 31 December 2015 for Beta Betta ETF and Domestic Company Indices, we utilize a VECM model to find out whether the Betta Beta ETF is playing a significant role in the price discovery process of stocks listed on the Botswana Stock Exchange. We found the error correction term to be statistically significant thereby confirming that the Beta Betta ETF is playing a significant role in the price discovery of stocks listed on the Botswana Stock Exchange.

DOI 10.20525/ijfbs.v6i1.6620 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Performance Evaluation of Mid-Cap Retail Equity Mutual Funds

Abhay Kaushik

International Journal of Finance & Banking Studies · 2019

Read abstract

Mid-cap funds invest in stocks with a market cap between $2 billion and $10 billion. Some of the mid-cap firms recently overcame their small-cap status, but are still in the high growth mode with a better market positioning and stronger balance sheet. Because of their size and status, mid-cap stocks offer a unique platform to portfolio managers of mid-cap funds to earn superior returns by using their selectivity skills. This study analyzes the performance and persistence of performance of 257 U.S. domiciled retail mid-cap funds from January 2000 to December 2017. The results of this study suggest that despite the interesting platform offered by these stocks, it is not easy for fund managers to pick the stocks that beat the market. The results of this study show that mid-cap funds do not outperform the market and their poor performance persists over time.

DOI 10.20525/ijfbs.v8i2.3011 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Equity Unit Trust Funds Flow and Stock Market Returns

Caroline Michere Ndei · Stephen Muchina · Kennedy Waweru

International Journal of Finance & Banking Studies · 2019

Read abstract

This study sought to evaluate the relationship between equity unit trust fund flows measured as purchases and sales and the Nairobi Securities Exchange (NSE) stock market return. The study employed Vector Autoregressive model and tested for Granger causality using monthly data for the period starting January 2010 to December 2017. The granger causality results showed that equity fund sales contain information that can explain stock market return and stock market return contain information that can explain equity fund purchases thus unidirectional causality. Impulse response results showed that equity fund purchases have a predominantly positive relationship with NSE stock market return and NSE stock market return have a positive relationship with equity fund purchases. This implies that an increase in stock market return will lead equity fund managers to purchase more securities and as the equity fund purchases increase, the demand for those stocks will increase causing the stock prices to increase and consequently increase stock market return. In contrast, equity fund sales are predominantly negatively related with stock market return and stock market return is also negatively related to equity funds sales. As the stock market return increase, the equity fund managers will decrease their sales. As the sales increase, the supply for those stocks will increase causing a decrease in prices and consequently a decrease in stock market return. Equity fund sales explain the variation in stock market return more than equity fund purchases while stock market return is a determinant of equity fund purchases and equity fund sales.

DOI 10.20525/ijfbs.v8i1.2632 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Overreaction in Trading

Justin Morscheck

International Journal of Finance & Banking Studies · 2019

Read abstract

Using intraday trading data during the 2008 financial crisis, from the Standard and Poor’s Depository Receipt (SPDR) market, we test for evidence of the informational advantage of traders. In addition, we examine the effect of pricing error on trade price. If traders are rational, and have accurate information, they will only purchase an asset at a premium (discount) if they have reason to believe that the fundamental value of that asset will increase (decrease). Our results show that the trading price of the SPDR does not significantly predict the movement of underlying asset values. This finding is consistent with traders overreacting to disparities between price and underlying value during the financial crisis.

DOI 10.20525/ijfbs.v7i4.1960 Crossref citations1 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 →