{"title":"Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks","authors":"A. Nawaz","doi":"10.47260/JAFB/1134","DOIUrl":"https://doi.org/10.47260/JAFB/1134","url":null,"abstract":"Using an unbalanced panel dataset of 5,265 observations from 454 US banks including 394 commercial and 60 savings banks, and Battese and Coelli (1995) Stochastic Frontier model, this study has determined the recent level of cost and profit efficiency estimates of these banks and analysed the impact of specialization, ownership structure, and size on the cost and profit efficiency. The results reveal that the cost efficiency of US commercial and savings banks is statistically higher than the profit efficiency with a score of 92.1% and 63.59% respectively; the global financial crisis did not affect cost efficiency much, but it had a shattering effect on the profit efficiency; the savings banks are more cost efficient than the commercial banks and commercial banks are more profit efficient than savings banks; there is no significant differences between the cost and profit efficiencies of privately and publicly owned banks; foreign banks are less cost and profit efficient compare to their domestic counterparts; and finally, the small banks enjoy higher cost and profit efficiency than their large, medium, and very large counterparts. The other determinants of cost and profit efficiency were found to be expectedly affecting the cost and profit efficiency of US banks.\u0000\u0000JEL classification numbers: C33, C67, D22, D24, G01, G21, G32.\u0000Keywords: Cost Efficiency, Profit Efficiency, US Commercial and Savings Banks, Bank Specialization, Ownership Structure, Bank Size.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131221325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Corporate Governance Mechanisms on Compliance with IFRS and Financial Reporting Quality","authors":"Cheng-Wen Lee, Yilin Hu","doi":"10.47260/JAFB/1133","DOIUrl":"https://doi.org/10.47260/JAFB/1133","url":null,"abstract":"The present study examines the impact of corporate governance mechanisms on compliance with IFRS and financial reporting quality, especially focusing on non-audit service and accountant’s tenure. The adoption of IFRS is launched in Taiwan since 2012. The study aims to investigate this issue using a sample of 3997 data gathered from listed companies traded on the Taiwan Stock Exchange and OTC over the period from 2012 up to 2019. The results show the evidence to support that the collective effect of non-audit services/accountant’s tenure on audit quality has changed to be more influential. This research findings also open valuable insights to regulators, stock markets, practitioners, and academicians in this issue.\u0000\u0000JEL classification numbers: D22, G32, M41. \u0000Keywords: IFRS, Non-audit services, Accountant’s tenure.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Equicorrelation Analysis of Financial Contagion: Evidence from Latin America Markets","authors":"Roberto Louis Forestal, Shih-Ming Pi","doi":"10.47260/JAFB/1132","DOIUrl":"https://doi.org/10.47260/JAFB/1132","url":null,"abstract":"This research employs the multivariate autoregressive moving average-generalized autoregressive conditionally heteroscedastic-dynamic equicorrelation (ARMA-GARCH-DECO) model to identify contagion among Latin American financial markets during financial turmoil period We analyze the dynamic conditional correlations among 18 American Depositary Receipts (ADR), 8 Exchange Traded Funds (ETF) and 6 Foreign Exchange Rates (Forex) Our sample includes daily closing prices from April 1, 2014, to January 29, 2021, for Argentina, Brazil, Chile, Colombia, Mexico, and Peru Results find long-run properties in the volatility of most instruments including those belonging to defensive super sector implying that defensive super sector and basic materials are the most impacted sectors during the last financial crises We present evidence that in times of economic disruption like in the midst of the COVID-19 pandemic, those financial assets do not act as safe harbor investments since they are relatively more correlated during period of financial crises than in normal periods Our findings have policy implications and are of interest to practitioners who look a better understanding of the dynamics of spillovers among the behavior of emerging financial assets","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Dynamic Progression of the Redenomination and Sovereign Risk in the Price Discovery Process of Italian Banks’ CDSs","authors":"Cinefra Francesca, Michele Anelli, Michele Patané, Gioia Alessio","doi":"10.47260/JAFB/1131","DOIUrl":"https://doi.org/10.47260/JAFB/1131","url":null,"abstract":"The recent global financial crisis and the subsequent sovereign debt crisis of the Eurozone peripheral countries have generated historic levels of volatility and instability in the financial markets. In particular, during the sovereign debt crisis market operators have begun to focus on the so-called “redenomination risk”, that is the hypothesis of exit from the EMU (Euro Monetary Union) by one or more countries and the consequent redenomination of their debt in the past national currency. This type of risk constitutes a form of additional credit risk premium due to expected systemic failure of the Eurozone. The effects of the economic-financial crisis, the weak economic growth and the political instability that have characterized especially the Italian system in recent years provide the ideal starting point to analyze the evolution of the redenomination risk in the pricing process of the Italian banks’ CDSs (Credit Default Swaps). \u0000The contribution of this work is to evaluate the dynamic evolution of sovereign and redenomination risk in the price discovery process of the Italian banks’ CDS spreads (or premia) by using rolling window regressions. Results show that redenomination risk explains a great part of the variance in the CDS spreads during periods of financial distress. The sovereign risk component explains a large part of the variance for almost the entire considered period.\u0000JEL Classification: G01, G12, G14, G20.\u0000Keywords: CDS spreads, Sovereign risk, Redenomination risk, Rolling window regressions, ISDA basis.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125115884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting Economic Performance of Bangladesh using Autoregressive Integrated Moving Average (ARIMA) model.","authors":"Raad Mozib Lalon, N. Jahan","doi":"10.47260/JAFB/1125","DOIUrl":"https://doi.org/10.47260/JAFB/1125","url":null,"abstract":"This paper attempts to forecast the economic performance of Bangladesh measured with annual GDP data using an Autoregressive Integrated Moving Average (ARIMA) Model followed by test of goodness of fit using AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion) index value among six ARIMA models along with several diagnostic tests such as plotting ACF (Autocorrelation Function), PACF (Partial Autocorrelation Function) and performing Unit Root Test of the Residuals estimated by the selected forecasting ARIMA model. We have found the appropriate ARIMA (1,0,1) model useful in predicting the GDP growth of Bangladesh for next couple of years adopting Box-Jenkins approach to construct the ARIMA (p,r,q) model using the GDP data of Bangladesh provided in the World Bank Data stream from 1961 to 2019.\u0000\u0000JEL classification numbers: B22, B23, C53.\u0000Keywords: GDP growth, ACF, PACF, Stationary, ARIMA (p,r,q) model, Forecasting.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121171117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Covid-19 and the Technology Bubble 2.0: Evidence from DCC-MGARCH and Wavelet Approaches","authors":"Caner Ozdurak, Cengiz Karatas","doi":"10.47260/jafb/1124","DOIUrl":"https://doi.org/10.47260/jafb/1124","url":null,"abstract":"There has probably never been as big a divergence between markets and economies as there is in the pandemic period. This paper is an attempt to test the ‘time-varying’ and ‘time-scale dependent’ volatilities of major technology stocks, FAANG and Microsoft, for analyzing the possibility of a second technology bubble in the markets. Consistent with the results of DCC-GARCH models, our analysis based on the application of the Wavelet approach also indicates that major technology behave and move as if they were all one stock in the pandemic period which makes us to be cautious about a second dotcom crisis since %26 of S&P 500 market cap is driven by FAANG and Microsoft stocks.\u0000\u0000JEL classification numbers: C58, D53, O14.\u0000Keywords: Dot-com crisis, tech bubble, DCC-GARCH, FAANG, Wavelet.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117095954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Nexus Between Internal Investment and Economic Growth in Kenya","authors":"A. Kamenju, Olweny","doi":"10.47260/jafb/1122","DOIUrl":"https://doi.org/10.47260/jafb/1122","url":null,"abstract":"Countries with a high investment GDP ratio benefit from better, competitive\u0000products and services. Which increases capital stock for production, more\u0000employment, and income; in turn reducing social and income disparities. The\u0000Kenyan government envisaged a sustained economic growth of 10% by investing\u0000in priority sectors; to become an industrialized middle-income country by the year\u00002030; though un-achieved to date. To examine the nexus between internal\u0000investments and economic growth, the study used annual time-series observations\u0000from the years 1996 to 2017; where internal investments are from the government;\u0000private domestic; and public-private partnership; and exogenous variables were\u0000rates of real interest; social discount; commercial lending interest; and the country\u0000risk premium on lending for investment decisions. The inference used stationarity;\u0000cointegration; significance; causality; variance decomposition of forecast error; and\u0000impulse response function. Stationarity tests suited the ARDL model which also\u0000supports small size observations. Findings were; a significant and positive influence\u0000on economic growth from lags of real GDP, government, private domestic, except\u0000public-private partnership investments. Anticipation for growth lies with;\u0000significant pairwise causality (real GDP with public investment); significant block\u0000exogeneity (public investment); endogeneity (real GDP), and exogeneity (public\u0000investment) influence; and short-run private domestic investment recovery.\u0000Keywords: ARDL, Economic Growth, Public Investment, Private Domestic\u0000Investment, Public-Private Partnership Investment, Investment Decisions.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fundamental Anomalies and Firms Financial Distress; Evidence from Nairobi Securities\u0000Exchange, Kenya","authors":"Charles Roche, T. Olweny, T. Nasieku","doi":"10.47260/jafb/1121","DOIUrl":"https://doi.org/10.47260/jafb/1121","url":null,"abstract":"Stock market broadly referred to as security exchange has gained so much interests\u0000from various stakeholders around the world as they endow exceedingly to the\u0000growth of the world economy. Nairobi Securities Exchange, being an emerging\u0000stock market, this study therefore considered dividend yield anomaly, measured by\u0000dividend per share and price to earnings anomaly operationalized through earnings\u0000per share as the types of the fundamental anomalies. When there is fundamental\u0000anomaly, firms tend to exhibit unhealthy financial position which is financial\u0000distress, measured by Z-Score. The main objective of this study is to examine the\u0000relationship between fundamental anomalies and firms’ financial distress; evidence\u0000from Nairobi Securities Exchange, Kenya. This study adopts descriptive research\u0000design and embraced secondary data from 2007 to 2017 from a target population of\u000067 listed firms. It was found that there existed a relationship between fundamental\u0000anomalies and firms’ financial distress. The study recommends that the\u0000management should put in place the right dividend policies, declaration or nondeclaration of dividends in the treatment of dividends. For policy makers and\u0000regulators, the recommendations will assist in restoring law and order and this will\u0000enable all the stakeholders to have confidence in Nairobi Securities Exchange.\u0000Keywords: Securities Exchange, Financial Distress, Fundamental Anomalies.","PeriodicalId":371149,"journal":{"name":"Journal of Applied Finance and Banking","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123014831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}