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Journal articles on the topic 'Financial institutions'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Pass, Christopher L., and Stephen F. Witt. "Financial Institutions, Corporate Control and Financing." Managerial Finance 11, no. 3/4 (March 1985): 61–72. http://dx.doi.org/10.1108/eb013552.

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2

Khmelkov, Andrii. "Financial institutions and financial control." Ekonomìčna teorìâ 2021, no. 2 (June 16, 2021): 47–64. http://dx.doi.org/10.15407/etet2021.02.047.

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The article points out that the institution of financial control has clearly defined limits of application in society, while the scope of its direct application is the formation, distribution and use of public finances. The author shows that the institution of control has a binary nature, whose consideration allows to distinguish between its formal and informal content and to find ways to improve the efficiency of its use. The informal content of the institution of control is related to the financial morality of society and its members, and the formal one — to the competence or practice of agents of the institution of control as its structural elements for the benefit of society in the form of financial gain. It is proved that the public utility of the institution of control is determined by the financial and institutional benefits of its operation. Based on the calculations, it is shown that the institution of control is in a state of dysfunction. The author proposed various ways to overcome the established dysfunction, in particular, are proposed – giving the institute control over the powers to prevent financial violations and to effect full compensation.

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3

Gu, Ruitao, Qiaoyun Zhang, and Wei Zhou. "Judging the True Health of Finance Institutions Based on Risk Behavior and Operation Performance." Mathematical Problems in Engineering 2022 (November 26, 2022): 1–21. http://dx.doi.org/10.1155/2022/3532409.

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As the core of the financial system, financial institutions are playing a significant role in financial stability in the process of development; traditional analysis mainly discusses the institution’s revenue of assets. However, the current financial stability system pays more attention to financial institution risk behavior and operational efficiency; to solve the previous two issues, we propose the two-stage model. Firstly, we measure the dynamic financial institution’s risk behavior coefficient based on the volatility and return principle for different institutions. Secondly, according to the cross-efficiency principle, different financial institution operation efficiencies that assimilate risk behavior will be obtained, and the institution risk behavior valve is also given. Finally, we analyze the 31 banks listed in China to verify the validity and applicability of the two-stage model; the model has made a certain theoretical contribution to the financial institution analysis model, especially when we consider the risk behavior and multiple indexes. Therefore, the two-stage model that we built can help investors make a portfolio in banking enterprises; it also can help financial institutions evaluate their risk behavior for making an optimal decision and help government agencies to supervise banks based on their risk behavior.

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4

Nurul Fauzi, Andrew Makmur, Irda Rosita, Desi Handayani, and Gustati. "Investigating Financial Reporting Practices in Hybrid Financial Institusions in Indonesia." Entrepreneurship and Small Business Research 1, no. 3 (December 5, 2022): 53–61. http://dx.doi.org/10.55980/esber.v1i3.57.

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Hybrid financial institutions are sociopreneur organizations that carry out business activities with the aim of making profits and helping the community. Although these financial institutions make significant economic and social contributions to society, their financial reporting models still do not adequately present economic and non-economic information. This study aims to understand how financial reporting practices in financial institutions that have two functions or are often called hybrid financial institutions (profit motive and social motive) in Indonesia, especially in customary financial institutions Lumbung Pitih Nagari (LPN) in West Sumatra. The research design uses a case study at a hybrid financial institution of LPN. LPN is a customary financial institution whose main purpose of establishment is to help people who live in a village. In addition, this financial institution is also required to generate profit. The data collection technique is an in-depth interview with informants consisting of managers, communities, and other stakeholders. The results of this study show that LPN Limau Manis as a hybrid financial institution still uses financial reporting practices that are no different from conventional financial institutions in general. The types of financial statements produced following conventional financial institutions consist of income statements, statements of changes in equity, balance sheets, cash flow statements and notes to financial statements. While information about the social functions they perform is not reported in specific reports. It is only reported in a standard format in the form of social activity reports submitted at the General Meeting.

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5

Huang, Haizhou, and Chenggang Xu. "Financial Institutions, Financial Contagion, and Financial Crises." IMF Working Papers 00, no. 92 (2000): 1. http://dx.doi.org/10.5089/9781451851588.001.

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6

Molem, Sama C., Elle S. Messomo, and Tameta Serge. "The Effect of Financial Innovation on the Financial Performance of Financial Institutions in Cameroon." International Journal of Finance 9, no. 2 (April 27, 2024): 59–74. http://dx.doi.org/10.47941/ijf.1831.

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Purpose: The study sought to investigate the effect of financial innovations on financial performance of depository financial institutions in Cameroon. The specif objectives of the study were to examine the effect of product, process and institutional innovation on the financial performance of financial institutions Methodology: The study adopted a cross sectional research design. Purposive and convenience sampling methods were used to select 210 respondents from 75 financial institutions in Cameroon. Primary data was collected using a self-administered questionnaire. Data collected was sorted, coded and analyzed using the Statistical Package for Social Sciences (SPSS v22.0). Data collected was analysed descriptively with the use of mean and inferentially with the use of ordered logit regression model and Pearson correlation metrix to establish the relationship between the dependent variable and the independent variables and the results were presented in tables. Findings: The findings show that increased financial innovation through process and institutional innovation can increase financial performances. For the basic regression used to find banks’ performance, the analysis indicates that process and product innovation, measured by the ATM, POS, mobile banking and credit card, significantly influences financial performance of financial institutions. Although there is no significant effect of institutional innovation on financial performance, there is still a positive effect. Unique Contribution to Theory, Policy and Practice: The study therefore recommended that further study can be carried out on the effect of financial innovation on performance of depository financial institutions using different methods. In addition, depository financial institutions should transform banking service by adapting to process innovation so as to increase access to financial services.

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7

Hanif, Muhammad. "Musharaka Financing by Islamic Financial Institutions." SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1782719.

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8

Jamaludin, Azahari, and Fais Ahmad. "Managing Financing Risks in Financial Institutions." Asian Journal of Finance & Accounting 5, no. 1 (April 19, 2013). http://dx.doi.org/10.5296/ajfa.v5i1.3233.

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9

Chava, Sudheer, Rohan Ganduri, and Vijay Yerramilli. "Do Bond Investors Price Tail Risk Exposures of Financial Institutions?" Quarterly Journal of Finance, November 10, 2020, 2150003. http://dx.doi.org/10.1142/s2010139221500038.

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We analyze whether bond investors price tail risk exposures of financial institutions using a comprehensive sample of bond issuances by U.S. financial institutions. Although primary bond yield spreads increase with an institution’s own tail risk (expected shortfall), systematic tail risk (marginal expected shortfall) of the institution doesn’t affect its yields. The relationship between yield spreads and tail risk is significantly weaker for depository institutions, large institutions, government-sponsored entities, politically-connected institutions, and in periods following large-scale bailouts of financial institutions. Overall, our results suggest that implicit bailout guarantees of financial institutions can exacerbate moral hazard in bond markets and weaken market discipline.

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10

Huang, Haizhou, and Chenggang Xu. "Financial Institutions, Financial Contagion, and Financial Crises." SSRN Electronic Journal, 2000. http://dx.doi.org/10.2139/ssrn.879637.

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11

Potas, Alberto Veiga. "Social responsibility and comparative analysis between two financial institutions." Revista Científica Multidisciplinar Núcleo do Conhecimento, May 31, 2019, 186–209. http://dx.doi.org/10.32749/nucleodoconhecimento.com.br/business-administration/financial-institutions.

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In this research, the theme of social responsibility aims to present and know how companies should be analyzed in the annual social balance reports. The objective is to investigate the importance and usefulness of social responsibility for companies located in Brazil, showing the actions of organizations in order to identify and verify data, information, and what projects have been carried out and existing problems. For this, it will be necessary to carry out a theoretical bibliographic research, investigating the relationship of companies with the local community, following the concept of social responsibility within ethical and moral limits. It is necessary to know which institutions carry out projects and how they are done through observations of the results, it will also be analyzed whether this procedure provides an efficient sustainable development within the region.

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12

"A: Financial Institutions." World Banking Abstracts 37, no. 6 (January 25, 2021): 397–403. http://dx.doi.org/10.1111/woba.12096.

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13

"A: Financial Institutions." World Banking Abstracts 38, no. 2 (May 26, 2021): 79–88. http://dx.doi.org/10.1111/woba.12124.

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14

"A: Financial Institutions." World Banking Abstracts 38, no. 1 (March 19, 2021): 1–8. http://dx.doi.org/10.1111/woba.12104.

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15

"A: Financial Institutions." World Banking Abstracts 39, no. 3 (June 23, 2022): 159–68. http://dx.doi.org/10.1111/woba.12184.

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16

"A: Financial Institutions." World Banking Abstracts 39, no. 4 (September 23, 2022): 241–50. http://dx.doi.org/10.1111/woba.12192.

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17

"A: Financial Institutions." World Banking Abstracts 39, no. 2 (April 25, 2022): 79–92. http://dx.doi.org/10.1111/woba.12176.

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18

"A: Financial Institutions." World Banking Abstracts 39, no. 2 (April 25, 2022): 79–92. http://dx.doi.org/10.1111/woba.12176.

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19

"A: Financial Institutions." World Banking Abstracts 38, no. 5 (November 7, 2021): 303–13. http://dx.doi.org/10.1111/woba.12149.

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20

"A: Financial Institutions." World Banking Abstracts 38, no. 4 (September 8, 2021): 235–48. http://dx.doi.org/10.1111/woba.12140.

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21

"A: Financial Institutions." World Banking Abstracts 38, no. 3 (July 20, 2021): 157–63. http://dx.doi.org/10.1111/woba.12132.

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22

"A: Financial Institutions." World Banking Abstracts 38, no. 6 (January 3, 2022): 389–404. http://dx.doi.org/10.1111/woba.12158.

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23

"A: Financial Institutions." World Banking Abstracts 39, no. 1 (March 2022): 1–12. http://dx.doi.org/10.1111/woba.12167.

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24

"Valuing financial institutions." Choice Reviews Online 29, no. 11 (July 1, 1992): 29–6404. http://dx.doi.org/10.5860/choice.29-6404.

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25

"Other financial institutions." Financial Statistics 568, no. 1 (August 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.109.

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"Other financial institutions." Financial Statistics 569, no. 1 (September 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.124.

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27

"Other financial institutions." Financial Statistics 570, no. 1 (October 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.139.

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"Other financial institutions." Financial Statistics 571, no. 1 (November 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.154.

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"Other financial institutions." Financial Statistics 572, no. 1 (December 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.169.

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30

"Other financial institutions." Financial Statistics 562, no. 1 (February 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.21.

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31

"Other financial institutions." Financial Statistics 563, no. 1 (March 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.35.

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32

"Other financial institutions." Financial Statistics 564, no. 1 (April 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.49.

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33

"Other financial institutions." Financial Statistics 565, no. 1 (May 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.64.

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34

"Other financial institutions." Financial Statistics 561, no. 1 (January 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.7.

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35

"Other financial institutions." Financial Statistics 566, no. 1 (June 2009): 106–18. http://dx.doi.org/10.1057/fs.2009.79.

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36

"Other financial institutions." Financial Statistics 567, no. 1 (July 2009): 105–18. http://dx.doi.org/10.1057/fs.2009.94.

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37

"Other financial institutions." Financial Statistics 580, no. 1 (August 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.112.

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"Other financial institutions." Financial Statistics 581, no. 1 (September 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.127.

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39

"Other financial institutions." Financial Statistics 582, no. 1 (October 2010): 101–14. http://dx.doi.org/10.1057/fs.2010.142.

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"Other financial institutions." Financial Statistics 583, no. 1 (November 2010): 101–14. http://dx.doi.org/10.1057/fs.2010.157.

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"Other financial institutions." Financial Statistics 584, no. 1 (December 2010): 101–14. http://dx.doi.org/10.1057/fs.2010.172.

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"Other financial institutions." Financial Statistics 574, no. 1 (February 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.22.

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"Other financial institutions." Financial Statistics 575, no. 1 (March 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.37.

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"Other financial institutions." Financial Statistics 576, no. 1 (April 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.52.

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"Other financial institutions." Financial Statistics 577, no. 1 (May 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.67.

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"Other financial institutions." Financial Statistics 573, no. 1 (January 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.7.

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47

"Other financial institutions." Financial Statistics 578, no. 1 (June 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.82.

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48

"Other financial institutions." Financial Statistics 579, no. 1 (July 2010): 105–18. http://dx.doi.org/10.1057/fs.2010.97.

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49

"Other financial institutions." Financial Statistics 586, no. 1 (February 2011): 101–11. http://dx.doi.org/10.1057/fs.2011.22.

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"Other financial institutions." Financial Statistics 587, no. 1 (March 2011): 99–109. http://dx.doi.org/10.1057/fs.2011.37.

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