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: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 01:09 UTC — 22 Oct 2026 02:38 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.
3 / 5 with data · 2 missing or unmatched. Percentages use all 5 selected publications.
3 / 5 with data · 2 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 8 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 50 | 5 | 5/5 | 5/5 |
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 5 / 5 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): 2026-10-22T01:09:34.377893+00:00 — 2026-10-22T02:38:01.785595+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 | 1 | 5 | 5/5 |
| 2018 | All selected publications | 6 | 5 | 5/5 |
| 2019 | All selected publications | 3 | 5 | 5/5 |
| 2020 | All selected publications | 2 | 5 | 5/5 |
| 2021 | All selected publications | 5 | 5 | 5/5 |
| 2022 | All selected publications | 9 | 5 | 5/5 |
| 2023 | All selected publications | 6 | 5 | 5/5 |
| 2024 | All selected publications | 7 | 5 | 5/5 |
| 2025 | All selected publications | 2 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 |
|---|---|
| 2016 | 5 |
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 | 5 | 8 | 50 | 5/5 | 1.6 | 1 | 60.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
This paper investigates how firms shifted their dividend policies and leverage policies in response to the economic shock caused by the 2008 financial crisis. The sample countries are United States, Great Britain, France, Germany, Australia, Japan, China, and Korea. The empirical relationship of firms’ dividend policies with their capital structures and earnings was likely to undergo a major change around the 2008 financial crisis, as firms adjusted their capital structures and dividend policies in response to the extreme credit crunch caused by the financial crisis. The extent and the speed that firms deleverage themselves and reduce their dividends were likely to be influenced by countries’ cultural and social norms. This paper finds a significant reduction in dividends across sample countries except Great Britain and France after the 2008 crisis. This finding supports the free cash flow theory that dividends are paid to dissipate free cash flow to address agency conflicts between managers and shareholders. This paper finds a higher correlation between dividends and leverages before the 2008 crisis, and that it strengthened after the crisis except Great Britain and Korea. This finding is consistent more with the pecking order theory than with the trade-off theory of leverage.
The purpose of this study was to analyze the dividend performance of eight UAE based banks between the years 2001 and 2005. The analysis was undertaken by examining three sets of financial ratios that are routinely used to measure bank dividend performance. The main ratios that were employed put a particular focus on the banks’ ability to pay dividends in relation to market value of its share, earnings and ability to cover the payments. Descriptive statistical analysis was used to rank the performance, measuring the dispersion and the stability-variability of the indicators. Conclusions were then drawn from the computation of the descriptive analysis of ratios that allowed the author to make an effective comparison of said banks. This type of analysis was used to summarize the performance of each bank based on three criteria, mean, standard deviation and coefficient of variation of each banks performance. The findings showed that eight banks performed reasonably well during the period studied, but have different strategies in paying their dividends across the years under study. The analysis reveals that these banks have been affected by both internal and external factors.
<p><em>The purpose of this paper is to investigate whether there is an optimal capital structure at which point firm is able to maximize its value. The author employ an advanced panel threshold regression estimation developed in 1999 by Hansen that will indicate whether there are positive and negative impacts of capital structure on firm value. The author has used data of among 90 unlisted Seafood Processing Enterprises in the South Central region of Vietnam (SEASCRs) during 2005–2011 period. The author has used book value of equity plus long- term debt (BVE) and return on equity (ROE) as surrogate for firm value and book value of total debt to total assets (TD/TA) as surrogate for capital structure and as the threshold variable. The empirical results strongly indicate that triple threshold effect exists between debt ratio and firm value when BVE is selected to proxy firm value. However, when ROE is selected to proxy firm value, the result shows that there exists double thresholds effect between debt ratio and firm value. From these results, the author may conclude that the relationship between capital structure and firm value has a nonlinear relationship represents an convex Parapol shape. In addition, the findings suggest implications for SEASCRs on flexible usage of financial leverage. Specifically, SEASCRs should not use loans over 57.39%. To ensure and enhance the firm value, the scope of the optimal debt ratio should be less than 57.39%. </em></p>
A nascent literature in finance and accounting on tail risk in individual stock returns concludes that bad news hoarding by corporate managers engenders sudden, extreme crashes in a firm’s stock price when the bad news is eventually made public. This literature finds that firm-specific crash risk is higher among firms with more severe asymmetric information and agency problems. A hitherto disjointed literature spanning the fields of international business, finance, and accounting suggests that geographic dispersion in a firm’s operations, and especially dispersion across different countries, gives rise to organizational complexities and greater costs of monitoring that can exacerbate asymmetric information and agency problems. Motivated by the confluence of arguments and findings from these two strands of literature, this paper examines whether stock price crash risk is higher among multinational firms than domestic firms. Using a large sample of U.S. headquartered firms during 1987-2011, we find robust evidence that multinational firms are significantly more likely to crash than domestic firms. Moreover, we show that the difference in crash risk between multinational and domestic firms is most acute among firms with weaker corporate governance mechanisms, including weaker shareholder rights, less independent boards, and less stable institutional ownership. Our analysis indicates that stronger monitoring from each of these three governance mechanisms significantly attenuates the positive relation between crash risk and multinationality. Our findings are robust to the use of alternative measures of crash risk and to controlling for known determinants of crash risk identified in prior studies. Our study offers new insights that should hold value for scholars and market participants interested in understanding the implications of heighted agency problems that multinational firms are likely to encounter and scholars and market participants interested in developing models that more accurately predict tail risk in the equity returns of individual firms.
<p>In the present study we try to examine the exchange rate changes and financial flexibility as the economic stable indexes on the financial leverage use in the companies so the main issue in this study is to define the financial leverage relation with exchange rate changes and financial flexibility. That is why 88 companies of the companies listed in Tehran stock exchange in 2005–2011. The study type is descriptive–correlative and the multivariable linear regression was used to analyze the data. The findings from the hypotheses test state there is a significant relation between financial leverage and financial flexibility while there isn't relation between financial leverage and exchange rate changes.</p>
The purpose of this study was to analyze the dividend performance of eight UAE based banks between the years 2001 and 2005. The analysis was undertaken by examining three sets of financial ratios that are routinely used to measure bank dividend performance. The main ratios that were employed put a particular focus on the banks’ ability to pay dividends in relation to market value of its share, earnings and ability to cover the payments. Descriptive statistical analysis was used to rank the performance, measuring the dispersion and the stability-variability of the indicators. Conclusions were then drawn from the computation of the descriptive analysis of ratios that allowed the author to make an effective comparison of said banks. This type of analysis was used to summarize the performance of each bank based on three criteria, mean, standard deviation and coefficient of variation of each banks performance. The findings showed that eight banks performed reasonably well during the period studied, but have different strategies in paying their dividends across the years under study. The analysis reveals that these banks have been affected by both internal and external factors.
This paper investigates how firms shifted their dividend policies and leverage policies in response to the economic shock caused by the 2008 financial crisis. The sample countries are United States, Great Britain, France, Germany, Australia, Japan, China, and Korea. The empirical relationship of firms’ dividend policies with their capital structures and earnings was likely to undergo a major change around the 2008 financial crisis, as firms adjusted their capital structures and dividend policies in response to the extreme credit crunch caused by the financial crisis. The extent and the speed that firms deleverage themselves and reduce their dividends were likely to be influenced by countries’ cultural and social norms. This paper finds a significant reduction in dividends across sample countries except Great Britain and France after the 2008 crisis. This finding supports the free cash flow theory that dividends are paid to dissipate free cash flow to address agency conflicts between managers and shareholders. This paper finds a higher correlation between dividends and leverages before the 2008 crisis, and that it strengthened after the crisis except Great Britain and Korea. This finding is consistent more with the pecking order theory than with the trade-off theory of leverage.
A nascent literature in finance and accounting on tail risk in individual stock returns concludes that bad news hoarding by corporate managers engenders sudden, extreme crashes in a firm’s stock price when the bad news is eventually made public. This literature finds that firm-specific crash risk is higher among firms with more severe asymmetric information and agency problems. A hitherto disjointed literature spanning the fields of international business, finance, and accounting suggests that geographic dispersion in a firm’s operations, and especially dispersion across different countries, gives rise to organizational complexities and greater costs of monitoring that can exacerbate asymmetric information and agency problems. Motivated by the confluence of arguments and findings from these two strands of literature, this paper examines whether stock price crash risk is higher among multinational firms than domestic firms. Using a large sample of U.S. headquartered firms during 1987-2011, we find robust evidence that multinational firms are significantly more likely to crash than domestic firms. Moreover, we show that the difference in crash risk between multinational and domestic firms is most acute among firms with weaker corporate governance mechanisms, including weaker shareholder rights, less independent boards, and less stable institutional ownership. Our analysis indicates that stronger monitoring from each of these three governance mechanisms significantly attenuates the positive relation between crash risk and multinationality. Our findings are robust to the use of alternative measures of crash risk and to controlling for known determinants of crash risk identified in prior studies. Our study offers new insights that should hold value for scholars and market participants interested in understanding the implications of heighted agency problems that multinational firms are likely to encounter and scholars and market participants interested in developing models that more accurately predict tail risk in the equity returns of individual firms.
<p><em>The purpose of this paper is to investigate whether there is an optimal capital structure at which point firm is able to maximize its value. The author employ an advanced panel threshold regression estimation developed in 1999 by Hansen that will indicate whether there are positive and negative impacts of capital structure on firm value. The author has used data of among 90 unlisted Seafood Processing Enterprises in the South Central region of Vietnam (SEASCRs) during 2005–2011 period. The author has used book value of equity plus long- term debt (BVE) and return on equity (ROE) as surrogate for firm value and book value of total debt to total assets (TD/TA) as surrogate for capital structure and as the threshold variable. The empirical results strongly indicate that triple threshold effect exists between debt ratio and firm value when BVE is selected to proxy firm value. However, when ROE is selected to proxy firm value, the result shows that there exists double thresholds effect between debt ratio and firm value. From these results, the author may conclude that the relationship between capital structure and firm value has a nonlinear relationship represents an convex Parapol shape. In addition, the findings suggest implications for SEASCRs on flexible usage of financial leverage. Specifically, SEASCRs should not use loans over 57.39%. To ensure and enhance the firm value, the scope of the optimal debt ratio should be less than 57.39%. </em></p>
<p>In the present study we try to examine the exchange rate changes and financial flexibility as the economic stable indexes on the financial leverage use in the companies so the main issue in this study is to define the financial leverage relation with exchange rate changes and financial flexibility. That is why 88 companies of the companies listed in Tehran stock exchange in 2005–2011. The study type is descriptive–correlative and the multivariable linear regression was used to analyze the data. The findings from the hypotheses test state there is a significant relation between financial leverage and financial flexibility while there isn't relation between financial leverage and exchange rate changes.</p>
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |