Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 22 Oct 2026 01:20 UTC — 23 Oct 2026 07:26 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
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.
4 / 6 with data · 2 missing or unmatched. Percentages use all 6 selected publications.
4 / 6 with data · 2 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 4 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 12 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-22T01:20:52.043533+00:00 — 2026-10-23T07:26:29.563474+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 1 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 5 | 6 | 6/6 |
| 2024 | All selected publications | 5 | 6 | 6/6 |
| 2025 | All selected publications | 1 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021 | 6 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 2 | 4 | 9 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 0 | 3 | 4/4 | 0.0 | 0.0 | 0.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this article was to assess the impact of financial market liquidity on international capital flows in emerging markets. Specifically, the research investigates the effect of bond market liquidity and stock market liquidity on foreign portfolio investments using data for five emerging African countries, being Egypt, Kenya, Mauritius, Nigeria and South Africa, for the period 2000 to 2020. The data was sourced from the Bloomberg and World Bank (WDI) databases. Panel data analysis (fixed effects model) was undertaken using three different liquidity measures: the effective spread; Amihud’s (2002) illiquidity measure; and market impact as measured by trading volume. Our findings revealed mixed results. It was found that stock market liquidity attracted foreign portfolio investments. Although bond market liquidity, as measured by the volume of trade, promoted foreign portfolio investment, it was different for the effective spread, as the higher the effective spread, the higher the inward FPI flows, and vice versa. Results on the effects of the bond effective spread on FPI show that as long as the bonds are above the investable grade, investors are not discouraged by the cost of trading. Our findings thus confirm that FPI inflows are predisposed on liquid and efficient host country financial markets. Further, the entrance of foreign investors in the host country’s domestic financial markets, leads to the enhancing of liquidity in the local market, thus increasing risk sharing between local and foreign investors.
The collective investment schemes in Kenya have witnessed increased volatility in their earnings, resulting in irregular growth in the industry. This necessitates the need to understand the factors contributing to poor financial returns from collective investment schemes. Hence this study sought to investigate the effect of equity investments and bond investments on Kenyan CIS’s performance. The specific objectives were: To assess the effect of equity investments, bond investments on financial performance of collective investment schemes in Kenya. The study was anchored on: modern portfolio theory and the efficient market hypothesis. The positivism philosophy was applied, with the firms adopting an explanatory research design. The target population was 17 Collective Investment Schemes registered by the Capital Markets Authority and were operational in the period 2010 to 2018. Secondary data was sought from the Capital Markets Authority Annual reports and from the respective websites of the CIS’. Data was analyzed using descriptive statistics, correlational analysis and panel regression analysis. Hypotheses were tested at a significance level of 0.05. Findings indicate that equity investment, bond investments have an insignificant effect on CIS’ return on assets. Further, equity investments had a positive and significant effect on liquidity whereas bond investments had an insignificant effect on liquidity. The study recommends that CISs actively revise their equity investments and bond investments to stimulate financial returns.
The purpose of this study is to investigate the impact of stock splits on the return, riskiness, and liquidity of stocks. Utilizing a sample of 94 stock splits taken place between 2010 and 2019 at Borsa Istanbul, the study analyzes the daily abnormal returns, change in volatility, and changes in volume around the stock split announcement and execution dates. The results display significant positive abnormal returns around the announcement date but not significant abnormal returns around the execution. The volatility and liquidity of stocks increase significantly around both announcement and execution dates. The findings are in line with the positive signaling, and liquidity hypotheses of stock split and with most of the observations reported in the empirical literature. The new evidence provided points out the lack of semi-strong form of market efficiency at Borsa Istanbul as far as the stock splits are considered.
Stock prices in Kenya have been experiencing drastic volatility over the years. In the year 2015 alone, the value of the listed companies shrunk by about 2.5 billion USD, representing about 25% of the national government annual budget. The performance of the stock market is an important proxy of a country’s economic environment. Rational investors constantly value and revise their portfolio composition so as to maximize their wealth. Whereas effectively diversified portfolio minimizes the unsystematic risk, systematic risks cannot be managed by simple diversification. Investors, therefore, need to understand the effect of these systematic risks on the stock performance. The study sought to determine the relationship between systematic risk factors using Inflation and interest rates and the performance of the stock market in Kenya. The study adopted a positivist philosophy and employed a correlation research design. The study targeted all the stock listed in the Nairobi Securities exchange. The study was underpinned by the Efficient Market Hypothesis, Arbitrage Pricing theory, and used integration analysis to establish the relationships between the variables of the study. The study found a significant long-run positive relationship between interest rate, inflation, and performance of the stock market in Kenya. Investment firms, the financial analyst should use past data on 91 Treasury bills rate and Inflation, to predict the future performance of stock exchange for the benefit of investors.
This study investigates the effects of earnings announcements on stock prices in Boursa Kuwait, formerly known as the Kuwait Stock Exchange (KSE). The data spans the period 2018–2020, and both positive and negative earnings announcements are employed as shock events and their effects assessed. The study results show that there is a statistically abnormal rate of return before and after the earnings announcements and that most abnormal returns are just after the earnings announcement. This most likely indicates that Boursa Kuwait is a semi-strong efficient stock market. One important implication is an indication that insider-related trading might be absent in Boursa Kuwait.
The collective investment schemes in Kenya have witnessed increased volatility in their earnings, resulting in irregular growth in the industry. This necessitates the need to understand the factors contributing to poor financial returns from collective investment schemes. Hence this study sought to investigate the effect of equity investments and bond investments on Kenyan CIS’s performance. The specific objectives were: To assess the effect of equity investments, bond investments on financial performance of collective investment schemes in Kenya. The study was anchored on: modern portfolio theory and the efficient market hypothesis. The positivism philosophy was applied, with the firms adopting an explanatory research design. The target population was 17 Collective Investment Schemes registered by the Capital Markets Authority and were operational in the period 2010 to 2018. Secondary data was sought from the Capital Markets Authority Annual reports and from the respective websites of the CIS’. Data was analyzed using descriptive statistics, correlational analysis and panel regression analysis. Hypotheses were tested at a significance level of 0.05. Findings indicate that equity investment, bond investments have an insignificant effect on CIS’ return on assets. Further, equity investments had a positive and significant effect on liquidity whereas bond investments had an insignificant effect on liquidity. The study recommends that CISs actively revise their equity investments and bond investments to stimulate financial returns.
The purpose of this article was to assess the impact of financial market liquidity on international capital flows in emerging markets. Specifically, the research investigates the effect of bond market liquidity and stock market liquidity on foreign portfolio investments using data for five emerging African countries, being Egypt, Kenya, Mauritius, Nigeria and South Africa, for the period 2000 to 2020. The data was sourced from the Bloomberg and World Bank (WDI) databases. Panel data analysis (fixed effects model) was undertaken using three different liquidity measures: the effective spread; Amihud’s (2002) illiquidity measure; and market impact as measured by trading volume. Our findings revealed mixed results. It was found that stock market liquidity attracted foreign portfolio investments. Although bond market liquidity, as measured by the volume of trade, promoted foreign portfolio investment, it was different for the effective spread, as the higher the effective spread, the higher the inward FPI flows, and vice versa. Results on the effects of the bond effective spread on FPI show that as long as the bonds are above the investable grade, investors are not discouraged by the cost of trading. Our findings thus confirm that FPI inflows are predisposed on liquid and efficient host country financial markets. Further, the entrance of foreign investors in the host country’s domestic financial markets, leads to the enhancing of liquidity in the local market, thus increasing risk sharing between local and foreign investors.
The purpose of this study is to investigate the impact of stock splits on the return, riskiness, and liquidity of stocks. Utilizing a sample of 94 stock splits taken place between 2010 and 2019 at Borsa Istanbul, the study analyzes the daily abnormal returns, change in volatility, and changes in volume around the stock split announcement and execution dates. The results display significant positive abnormal returns around the announcement date but not significant abnormal returns around the execution. The volatility and liquidity of stocks increase significantly around both announcement and execution dates. The findings are in line with the positive signaling, and liquidity hypotheses of stock split and with most of the observations reported in the empirical literature. The new evidence provided points out the lack of semi-strong form of market efficiency at Borsa Istanbul as far as the stock splits are considered.
Stock prices in Kenya have been experiencing drastic volatility over the years. In the year 2015 alone, the value of the listed companies shrunk by about 2.5 billion USD, representing about 25% of the national government annual budget. The performance of the stock market is an important proxy of a country’s economic environment. Rational investors constantly value and revise their portfolio composition so as to maximize their wealth. Whereas effectively diversified portfolio minimizes the unsystematic risk, systematic risks cannot be managed by simple diversification. Investors, therefore, need to understand the effect of these systematic risks on the stock performance. The study sought to determine the relationship between systematic risk factors using Inflation and interest rates and the performance of the stock market in Kenya. The study adopted a positivist philosophy and employed a correlation research design. The study targeted all the stock listed in the Nairobi Securities exchange. The study was underpinned by the Efficient Market Hypothesis, Arbitrage Pricing theory, and used integration analysis to establish the relationships between the variables of the study. The study found a significant long-run positive relationship between interest rate, inflation, and performance of the stock market in Kenya. Investment firms, the financial analyst should use past data on 91 Treasury bills rate and Inflation, to predict the future performance of stock exchange for the benefit of investors.
This study investigates the effects of earnings announcements on stock prices in Boursa Kuwait, formerly known as the Kuwait Stock Exchange (KSE). The data spans the period 2018–2020, and both positive and negative earnings announcements are employed as shock events and their effects assessed. The study results show that there is a statistically abnormal rate of return before and after the earnings announcements and that most abnormal returns are just after the earnings announcement. This most likely indicates that Boursa Kuwait is a semi-strong efficient stock market. One important implication is an indication that insider-related trading might be absent in Boursa Kuwait.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |