https://www.macrothink.org/journal/index.php/ifb/issue/feedInternational Finance and Banking2023-12-08T18:42:25-08:00Mirabelle Kellyifb@macrothink.orgOpen Journal Systems<img style="float: right; padding-left: 20px; padding-right: 20px;" src="/journal/public/site/images/ifb/ifb.png" alt="" width="300" /><p>International Finance and Banking is an international, peer-reviewed, and open-access journal published by Macrothink Institute. It provides an academic platform for professionals and researchers to contribute innovative works in aspects of Finance and Banking. The journal is only published online.</p><p>The scopes of the journal include <span>Financial Institutions, Financial Economics, Financial Services, Corporate Finance, Accounting and Financial Reporting, Financial Forecasting, Financial Risk Management and Analysis, </span><span>Bank, Banking Efficiency, Banking Regulation, Capital Structure, Monetary Banking, Stock Exchange, Capital Markets and Relevant Subjects.</span></p>https://www.macrothink.org/journal/index.php/ifb/article/view/21005Financial Analysis of Eritrean Commercial Bank: CAMEL Model2023-12-08T18:41:55-08:00Hosie G. Teweldehosisea@gmail.comHewan Kiflemariamhosisea@gmail.comNatnael Aregawihosisea@gmail.comSurafiel Ghirmaysurates23@gmail.com<p>Research on Eritrean banking system is scant. Hence, this study’s aim is two-fold. To add literature to this scarce body of knowledge and to initiate the CAMEL model in the Eritrean context. The main purpose of this paper is to evaluate the performance of the Commercial Bank of Eritrea (CBER) using CAMEL approach. Data are gathered from consolidated financial statements of CBER. The analysis extends for 15 years starting from 2001 up to 2015 by employing two variables from each CAMEL parameter. Based on the selected CAMEL metrics the empirical analysis depicted a satisfactory result but with significant volatilities. Except for Capital Adequacy which is probably tied to its ownership structure Asset Quality, Management Efficiency, Earnings and Liquidity portrayed reasonable outcomes, nonetheless with frequent head and shoulder trends. These sheds light on the strengths and vulnerabilities of the bank, underlining the need to bolster the concerns of the decision makers to improve and increase its soundness.</p>2023-06-26T20:14:37-07:00Copyright (c) 2023 International Finance and Bankinghttps://www.macrothink.org/journal/index.php/ifb/article/view/20893The Analysis of Residential Property Price Bubble and Sharia Bank Financing Using MIDAS Regression Model2023-12-08T18:41:55-08:00Aula Ahmad Hafid Saiful Fikriaulaghina@gmail.comMustofa Mustofamustofa@uny.ac.idMaimun Sholehmaimunsholeh@uny.ac.idSri Indah Nikensariindah_nikensari@unj.ac.id<p>In economic modeling there are constraints in terms of time frequency differences in the data used as input for estimating a model. One real example is when modeling the relationship between the Islamic banking financing (FIN) and the Housing Price Index (HPI), where the frequency of FIN data is monthly<em> </em>and HPI is quarterly. In this study, it has been tried to develop a model which can be used in the forecasting of Residential Property Price Bubble by using MIDAS (mixed data sampling regression) method which allows the series to be used in the same regression equation from different frequency.</p><p>Considering the AIC and SIC criteria, it was found that the best performing model out of four alternatives was the weighted equation according to the U-Midas method. The research result shows that the MIDAS specification for modeling the relationship between Islamic bank credit and the property price index is MIDAS with the U-Midas function at lag 4. This model is able to explain variations in property price bubbles of 98.8916%, meaning that the model can be used well for forecasting. Performance the resulting forecast is very good, it is shown that the MAPE value is 0. 2141%.</p>2023-12-08T18:38:49-08:00Copyright (c) 2023 International Finance and Bankinghttps://www.macrothink.org/journal/index.php/ifb/article/view/20480Identifying Efficiency of Banks’ Performance Using Financial Indicators in Bangladesh During the COVID-19 Pandemic: Analysis of Slack-Based DEA Approach2023-12-08T18:42:25-08:00Nobinkhor Kundunobinkundu@cou.ac.bdMst. Noiyan Taranoiyan19@cou.ac.bdGazi Mohammed Mahbubgazimohammedmahbub@gmail.com<p><span>The purpose of this study is to examine slack-based data envelopment analysis (DEA) to determine the efficiency of commercial bank performance in Bangladesh at post-Basel III in the COVID-19 pandemic. The secondary data was gathered from several annual reports of forty-three commercial banks in Bangladesh for the year 2020. This study found that thirteen DMUs indicating that "perfectly efficient" financial ratios. Moreover, six DMUs obtained efficiency scores of 90 percent to 99 percent, and nine DMUs obtained efficiency scores of 80 percent to 89 percent, which indicates that they have a "highly efficient" financial ratio. The bank efficiency score ranges from 60 percent to 79 percent, which indicates that fifteen DMUs have "moderately efficient" financial ratios. Thus, DMU<sub>2</sub> is the most efficient, which indicates "perfectly efficient" financial ratios, and DMU<sub>6 </sub>is the least efficient, which indicates "moderately efficient" financial ratios amongst the selected forty-three commercial banks in Bangladesh. </span></p>2023-12-08T18:41:41-08:00Copyright (c) 2023 International Finance and Banking