Implementation costs of IFRS 9 for non‐financial firms: evidence from China

2021 ◽  
Author(s):  
Xingtong Fang ◽  
Yuanyuan Guo ◽  
Beilei Mei ◽  
Jianfang Ye
Keyword(s):  
Financial Firms ◽  
Implementation Costs ◽  
Ifrs 9

Business Model Literature Overview

2014 ◽  
pp. 79-130 ◽  
Author(s):  
Ales Novak
Keyword(s):  
Business Model ◽  
Financial Reporting ◽  
Business Models ◽  
Potential Role ◽  
Financial Instruments ◽  
Business Logic ◽  
Literature Overview ◽  
Ifrs 9 ◽  
Definition Of

The term ?business model' has recently attracted increased attention in the context of financial reporting and was formally introduced into the IFRS literature when IFRS 9 Financial Instruments was published in November 2009. However, IFRS 9 did not fully define the term ‘business model'. Furthermore, the literature on business models is quite diverse. It has been conducted in largely isolated fashion; therefore, no generally accepted definition of ?business model' has emerged. Therefore, a better understanding of the notion itself should be developed before further investigating its potential role within financial reporting. The aim of this paper is to highlight some of the perceived key themes and to identify other bases for grouping/organizing the literature based on business models. The contributions this paper makes to the literature are twofold: first, it complements previous review papers on business models; second, it contains a clear position on the distinction between the notions of the business model and strategy, which many authors identify as a key element in better explaining and communicating the notion of the business model. In this author's opinion, the term ‘strategy' is a dynamic and forward-looking notion, a sort of directional roadmap for future courses of action, whereas, ‘business model' is a more static notion, reflecting the conceptualisation of the company's underlying core business logic. The conclusion contains the author's thoughts on the role of the business model in financial reporting.

Zum inkonsistenten Inhalt des Geschäftsmodellbegriffs in IFRS 9

2019 ◽  
Vol 31 (3) ◽  
pp. 217-223
Author(s):  
Felix Krauß
Keyword(s):  
Ifrs 9

Zusammenfassung Obwohl innerhalb der IFRS keine explizite Begriffsdefinition des Geschäftsmodells erfolgt, ist dennoch eine einheitliche Verwendung des Terms in IFRS 9 grundsätzlich wünschenswert. Allerdings lässt sich auf Grundlage der Kategorisierungsvorschriften auf der einen und der Umgliederungsvorschriften auf der anderen Seite ein jeweils abweichender Inhalt des Geschäftsmodellbegriffs ableiten, was die allgemein mit dem Begriff verbundenen Verständnisprobleme befördert. Dem kommt auch eine aufsichtsrechtliche Relevanz dahingehend zu, als dass die aufsichtsrechtliche Anlage- bzw. Handelsbuchzuordnung grundsätzlich konsistent zum Geschäftsmodell des IFRS 9 erfolgen sollte. Ein einheitlicher Begriffsinhalt wäre dabei bereits durch eine nur geringfügige, klarstellende Änderung des Standards zu erreichen.

IFRS 9: Estimation of expected credit losses and their recognition in financial reporting

2019 ◽  
Vol 22 (4) ◽  
pp. 364-378
Author(s):  
T.B. Kuvaldina ◽  
◽  
E.V. Lobachev ◽  
Keyword(s):  
Financial Reporting ◽  
Ifrs 9 ◽  
Credit Losses

Role of Credit Rating in determining Capital structure: Evidence from Non-Financial sector of Pakistan

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Shoaib Ali ◽  
Imran Yousaf ◽  
Muhammad Naveed
Keyword(s):  
Capital Structure ◽  
Credit Rating ◽  
Least Square ◽  
Annual Data ◽  
Leverage Ratio ◽  
Financial Decisions ◽  
Financial Firms ◽  
High Level ◽  
The Impact ◽  
The Capital Structure

This paper aims to examine the impact of external credit ratings on the financial decisions of the firms in Pakistan.  This study uses the annual data of 70 non-financial firms for the period 2012-2018. It uses ordinary least square (OLS) to estimate the impact of credit rating on capital structure. The results show that rated firm has a high level of leverage. Moreover, Profitability and tanagability are also found to be a significantly negative determinant of the capital structure, whereas, size of the firm has a significant positive relationship with the capital structure of the firm.  Besides, there exists a non-linear relationship between the credit rating and the capital structure. The rated firms have higher leverage as compared to the non-rated firms. The high and low rated firms have a low level of leverage, while mid rated firms have a higher leverage ratio. The finding of the study have practical implications for the manager; they can have easier access to the financial market by just having a credit rating no matter high or low. Policymakers must stress upon the rating agencies to keep improving themselves as their rating severs as the measure to judge the creditworthiness of the firm by both the investors and management as well.

Effect of Enterprise Risk Management on Firm Value: Empirical Evidence from Non-Financial Firms in Pakistan

GIS Business ◽  
1970 ◽  
Vol 13 (2) ◽  
pp. 15-28
Author(s):  
Nouman Nasir
Keyword(s):  
Risk Management ◽  
Firm Value ◽  
Positive Impact ◽  
Stock Exchange ◽  
Enterprise Risk Management ◽  
Least Square ◽  
Return On Equity ◽  
Financial Firms ◽  
Enterprise Risk ◽  
Ordinary Least Square Regression

This research examines the effect of enterprise risk management on firm value in Pakistan. Further, this study empirically examines company characteristics that establish the execution of an enterprise risk management system. Using a sample of final dataset of 83 non-financial firms located in Pakistan. The sample included non-financial firms from the year 1999 to 2015 and so up to seventeen observation years per company. As in context of Pakistan, most of the organizations are already implement an ERM programs and establish specialized ERM departments because the ERM is now a global term and has become increasingly relevant because of the growing difficulty of risk and an additional development of regulatory frame works. For the empirical evidences, data collected from non-financial firms listed at the Pakistan Stock Exchange (PSX). Results of logistic regression shows that Capital Opacity, Profitability, Financial Leverage, Firm Size and Slack have positive impact on the implementation of an ERM system but Industrial diversification, Industry and Return on Equity are negatively related to an ERM engagement. The results of ordinary least square regression finds positive relationship between use of an ERM and firm value.

AS ASSIMETRIAS ENTRE A IFRS 9 E AS CONSULTAS PÚBLICAS DO BANCO CENTRAL DO BRASIL

2021 ◽  
Vol 10 (Especial) ◽  
Author(s):  
George André Willrich Sales ◽  
Cristiane Oliveira da Silva Bezerra ◽  
Roberta Lira Caneca
Keyword(s):  
Ifrs 9

O estudo identifica assimetrias entre o IFRS 9 e as Consultas Públicas do Banco Central doBrasil – Editais 54/2017 e 60/2018 – e os seus impactos na carteira de crédito da CAIXA. Foirealizada uma pesquisa quantitativa, quanto à abordagem do problema, exploratória, quanto aosobjetivos, e um estudo de caso, quanto aos procedimentos. Os resultados demonstram que aconvergência do IFRS 9 ao padrão BRGAAP pelo BACEN trará um impacto no aumento daprovisão para perdas nas operações de crédito da CAIXA de aproximadamente 70% e que aindahaverá a necessidade de manutenção de controles operacionais segregados para atendimentoaos requisitos do padrão IFRS, especificamente no que se refere ao reconhecimento de receitasde juros das operações classificadas no Estágio 3, em que o BACEN determina que a receitanão deve ser registrada antes de seu efetivo recebimento, enquanto o órgão reguladorinternacional estabelece o critério para registro da receita em base líquida da provisão. Oreconhecimento da provisão com base no modelo de perdas esperadas adotado pelo IFRS 9 epropostas normativas do BACEN mais conservadoras que norma internacional, tende aapresentar valores superiores às perdas efetivas, entretanto, apresenta maior segurança aomercado em situações de crise.

Information Asymmetry around Operational Loss Announcements in U.S. Financial Firms

2011 ◽  
Author(s):  
Ahmed Barakat ◽  
Anna Chernobai ◽  
Mark Wahrenburg
Keyword(s):  
Information Asymmetry ◽  
Financial Firms

Capital Structure and Profitability of Selected Listed Non-Financial Firms in Ghana

2013 ◽  
Author(s):  
Anthony Hercules Turkson ◽  
Isaac Aggrey Fyn ◽  
Augustina Sackle Sarkey ◽  
James Kwesi Ansah
Keyword(s):  
Capital Structure ◽  
Financial Firms

Size and Value Risk in Financial Firms

2013 ◽  
Author(s):  
Seungho Baek ◽  
John F. O. Bilson
Keyword(s):  
Financial Firms
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