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Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency./
Author:	Attah, Rebecca.
Description:	1 online resource (123 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Contained By:	Dissertation Abstracts International79-03A(E).
Subject:	Finance. -
Online resource:	click for full text (PQDT)
ISBN:	9780355468724

Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency.
Attah, Rebecca.

Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency. - 1 online resource (123 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.

Thesis (D.B.A.)--Walden University, 2017.

Includes bibliographical references

Ghanaian banks struggle to maintain sufficient capital after the Bank of Ghana increased the minimum capital requirement as a buffer against the 2008 financial crisis. Grounded in the efficient structure theory (EST), the purpose of this correlational study was to examine the relationships between efficiency, size, risk, and ownership structure on banks' performance when minimum capital requirement increases. Archival data were collected from PricewaterhouseCoopers website covering all Ghanaian banks with available data for the 5-year period ending 2013. Initial one tail paired sample t tests revealed significant increases over time for efficiency, t(21) = 3.849, p = .001, net interest margin (NIM), t(21) = 5.201, p ≤ .001, return on equity (ROE), t(21) = 1.833, p = .041, and risk t(21) = 3.614, p = .001. The results of the multiple regression analysis indicated the EST models could significantly predict bank performance for the 5-year period ending 2013. X-efficiency model could predict NIM F(8, 123) = 6.94, p =.00, R 2 = .288, efficiency and ownership type were statistically significant with efficiency (t = 6.09, p = .001) denoting higher to the model than foreign banks (t = 2.96, p = .004). While, scale efficiency model could predict ROE, F(8, 123) = 5.18, p =.00, R2 = .133, ownership type and size were statistically significant with State banks (t = --2.26, p = .025) denoting more to the model than size (t = 2.00, p = .047). Society can benefit from the results of this doctoral study because investors, bank of Ghana, and bank managers could better predict the banks' performance based on the information from the study, which may lead to a higher families' confidence in the positive contribution of banks in their communities.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355468724Subjects--Topical Terms:

559073
Finance.
Index Terms--Genre/Form:

554714
Electronic books.

Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency.
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245 1 0 $a Ghanaian Bank Performance and Ownership, Size, Risk, and Efficiency.
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500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
500 $a Adviser: Roger Mayer.
502 $a Thesis (D.B.A.)--Walden University, 2017.
504 $a Includes bibliographical references
520 $a Ghanaian banks struggle to maintain sufficient capital after the Bank of Ghana increased the minimum capital requirement as a buffer against the 2008 financial crisis. Grounded in the efficient structure theory (EST), the purpose of this correlational study was to examine the relationships between efficiency, size, risk, and ownership structure on banks' performance when minimum capital requirement increases. Archival data were collected from PricewaterhouseCoopers website covering all Ghanaian banks with available data for the 5-year period ending 2013. Initial one tail paired sample t tests revealed significant increases over time for efficiency, t(21) = 3.849, p = .001, net interest margin (NIM), t(21) = 5.201, p ≤ .001, return on equity (ROE), t(21) = 1.833, p = .041, and risk t(21) = 3.614, p = .001. The results of the multiple regression analysis indicated the EST models could significantly predict bank performance for the 5-year period ending 2013. X-efficiency model could predict NIM F(8, 123) = 6.94, p =.00, R 2 = .288, efficiency and ownership type were statistically significant with efficiency (t = 6.09, p = .001) denoting higher to the model than foreign banks (t = 2.96, p = .004). While, scale efficiency model could predict ROE, F(8, 123) = 5.18, p =.00, R2 = .133, ownership type and size were statistically significant with State banks (t = --2.26, p = .025) denoting more to the model than size (t = 2.00, p = .047). Society can benefit from the results of this doctoral study because investors, bank of Ghana, and bank managers could better predict the banks' performance based on the information from the study, which may lead to a higher families' confidence in the positive contribution of banks in their communities.
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