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1 – 10 of over 134000João Jungo, Mara Madaleno and Anabela Botelho
This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.
Abstract
Purpose
This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.
Design/methodology/approach
The study considers a sample of 61 developing countries and uses very robust estimation techniques that allow controlling for endogeneity, heteroskedasticity and serial correlation, such as instrumental variables method in two-stage least squares (IV-2SLS), instrumental variables generalized method of moments (IV-GMM), as well as system of generalized methods of moments in two stages (Sys-2GMM).
Findings
The results confirm that financial inclusion and strengthening the RL can significantly contribute to reducing credit risk and improving the financial stability of banks; in contrast, the authors find that weak control of corruption aggravates credit risk. In addition, they found that greater competitiveness in the banking sector increases credit risk.
Social implications
This study supports the need to promote financial inclusion and strengthen institutional factors to improve the stability of the banking sector, as well as promote general well-being in the economy.
Originality/value
This study contributes to the scarce literature by simultaneously using institutional factors such as corruption and the RL and macroeconomic variables such as economic growth and inflation in the relationship between financial inclusion and the banking sector, as well as considering competitiveness as an explanatory factor for banks’ credit risk and stability.
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The precise relationships between neoliberalization, financialization, and rising risk are still being debated in the literature. This paper examines, and challenges, the Financial…
Abstract
The precise relationships between neoliberalization, financialization, and rising risk are still being debated in the literature. This paper examines, and challenges, the Financial Instability Hypothesis (FIH) developed by Hyman Minsky and his adherents. In this perspective, the level of financial risk builds over time as participants orient their behavior in relation to assessments of past levels of risk performance, leading them to overly optimistic valuation estimates and increasingly risky behavior with each subsequent cycle. However, there are problems with this approach, and many questions remain, including how participants modify their exposure to risk over time, how risk is scaled, and who benefits from changes in exposure to risk. This paper examines such questions and proposes an alternate perspective on financial instability and risk, in light of the history of risk management within Canada’s housing finance sector. The rise of financialization in Canada has been accompanied by shifts in the sectoral and scalar locus of risk within the housing sector, from the federal state, to lower levels of government, third-sector organizations, and finally, private households. In each case, the transfer of risk has occurred as participants in each stage sought to reduce their own risk exposure in light of realistic and even pessimistic (not optimistic) expectations deriving from past exposure, contradicting basic assumptions of Minsky’s FIH. This is the process that has driven the neoliberalization of housing finance in Canada, characterized by the socialization of lender risk while households increasingly take on the financial and social risks relating to shelter.
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Standard financial risk management practices proved unable to provide an adequate understanding and a timely warning of the financial crisis. In particular, the theoretical…
Abstract
Standard financial risk management practices proved unable to provide an adequate understanding and a timely warning of the financial crisis. In particular, the theoretical foundations of risk management and the statistical calibration of risk models are called into question. Policy makers and practitioners respond by looking for new analytical approaches and tools to identify and address new sources of financial risk. Financial markets satisfy reasonable criteria of being considered complex adaptive systems, characterized by complex financial instruments and complex interactions among market actors. Policy makers and practitioners need to take both a micro and macro view of financial risk, identify proper transparency requirements on complex instruments, develop dynamic models of information generation that best approximate observed financial outcomes, and identify and address the causes and consequences of systemic risk. Complexity analysis can make a useful contribution. However, the methodological suitability of complexity theory for financial systems and by extension for risk management is still debatable. Alternative models drawn from the natural sciences and evolutionary theory are proposed.
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Carlo Bellavite Pellegrini, Laura Pellegrini and Emiliano Sironi
Systemic risk has been one of the most interesting issues in banking and financial literature during the last years, particularly in evaluating its effects on the stability of the…
Abstract
Systemic risk has been one of the most interesting issues in banking and financial literature during the last years, particularly in evaluating its effects on the stability of the whole financial system during crises. Differently from other studies which analyze systemic risk focusing on European countries, we explore the determinant of systemic risk in other regional or continental banking systems, as Latin America. Using the CoVaR approach proposed by Adrian and Brunnermeier (2016), we study the impact of corporate variables on systemic risk on a sample of 30 Latin American banks belonging to seven countries, continuously listed from 2002Q1 to 2015Q4. We investigate the contribution of the corporate variables over different economic periods: the Subprime crisis (2007Q3–2008Q3), the European Great Financial Depression (2008Q4–2010Q2), and the Sovereign debt crisis (2010Q3–2012Q3).
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Purpose: This chapter discusses some policy options that central banks may find useful in dealing with climate change risk in the financial sector.Methodology: This chapter uses…
Abstract
Purpose: This chapter discusses some policy options that central banks may find useful in dealing with climate change risk in the financial sector.
Methodology: This chapter uses discursive analysis to suggest policy options which central banks can use to deal with the risk of climate change in the financial sector.
Findings: Five policy options are proposed in the chapter, which includes: imposing a climate change capital surcharge; impose a fixed-rate risk capital – based on Tier 2 capital; a reduction in lending to industries whose activities destroy the environment and climate; creating a climate bank; and requiring financial institutions to relocate their important assets to areas less prone to climate change events.
Implication: Several policy experiments are needed to identify the best policy option that works best for each country while taking into account the unique financial sector, financial system, and climate change history of each country.
Originality: Central banks play an important role in regulating the financial sector and in managing its inherent risks, yet there are no studies that suggest policy solutions to help central banks and other financial sector regulators deal with the risk that climate change poses to the financial sector. This chapter suggests policy options that central banks can use to deal with the risk that climate change poses to the financial sector.
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Cryptoassets have recently attracted the attention of national and international financial regulators. Since the mid-2010s blockchains have increasingly been adapted to automate…
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Cryptoassets have recently attracted the attention of national and international financial regulators. Since the mid-2010s blockchains have increasingly been adapted to automate and replace many aspects of financial intermediation, and by 2015 Ethereum had created the smart contract language that underpins the digitization of real assets as asset-backed tokens (ABTs). Those were initially issued by FinTech companies, but more recently banks active on international capital and financial markets, and even central banks, for example, the Bank of Thailand, have developed their own digital platforms and blockchains. A wide variety of real and financial assets underpins ABTs, viz., real-estate, art, corporate and sovereign bonds, and equity. Consequently, owing to the significant market capitalization of cryptocurrencies, the Basel Committee on Banking Supervision (BCBS) published two consultative papers delineating its approach on cryptoasset regulation. In this study, the authors analyze the mechanics of ABTs and their potential risks, relying on case studies of recent issuance of tokens in equity, real-estate, and debt markets, to highlight their main characteristics. The authors also investigate the consequences of the increasingly oligopolistic structure of blockchain mining pools and Bitcoin exchanges for the integrity and security of unregulated distributed ledgers. Finally, the authors analyze the BCBS’ regulatory proposals, and discuss the reaction of international financial institutions and cryptocurrency interest groups. The main findings are, firstly, that most ABTs are akin to asset-backed securities. Secondly, nearly all ABTs are “off-chain/on-chain,” that is, the underlying is a traditional asset that exists off-chain and is subsequently digitized. The main exception is the World Bank’s bond-i that is genuinely native to the blockchain created by the Commonwealth Bank of Australia, and has no existence outside it. Thirdly, all ABTs are issued on permissioned blockchains, where anti-money laundering/anti-terrorist funding and know-your-customer regulations are enforced. From a prudential regulatory perspective, ABTs do not appear to pose serious systemic risks to international financial markets. This may account for the often negative reactions of banks, banking associations, and cryptocurrency interest groups to the BCBS’ 2021 proposals for risk-weighted capital provisions for cryptoassets, which are viewed as excessive. Finally, we found that issuance of ABTS and other smart contracts on permissionless blockchains such as Bitcoin and Ethereum could potentially generate financial instability. A precedent involving Ethereum and The DAO in 2016 shows that (i) there is a significant accountability gap in permissionless blockchains, and (ii) the core developers of blockchains and smart contract technology, and Bitcoin mining pools, exercise an unexpectedly high- and completely unregulated-amount of power in what is supposedly a decentralized network.
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John P. Koeplin and Pascal Lélé
Integrating interdisciplinary studies with Human Capital Management Accounting (HCMA) refers to the dynamics of organized interdisciplinary action that are transversal or…
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Integrating interdisciplinary studies with Human Capital Management Accounting (HCMA) refers to the dynamics of organized interdisciplinary action that are transversal or cross-cutting. This approach requires the mastery of a certain number of technical skills and disciplines, as well as the capacity to use them in a process to solve problems of financial performance. This is accomplished through the specific interaction tasks that are performed by each management function and operational unit, which act in real time with others, in the same direction as an organizational team, using a selected risk appetite threshold base.
Putting business fields side by side, (i.e., business disciplines silos, as is normally the case in MBA programs), is not enough to create the transversal interaction dynamic needed for firms to achieve expected financial performance goals. As a result, few graduates today have the cross-cutting or vertical skills required to act, in real time, from their workstation in accordance with the pyramid shape of the organization chart in order to create value.
This chapter presents the results of the interface established by a faculty member in the Accounting Department of the University of San Francisco with a “seasoned leader in the FinTech industry.” It proposes a single portal for employers and HRMs to which the continuing education services of professional training associations, executive education departments of colleges, and MBA schools and universities, can connect to issue the HCMA certificate supplementing their training offerings focused on “Leadership Development”.
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Serdar Yaman and Turhan Korkmaz
Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious…
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Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious losses. Over-indebtedness arising from managerial misjudgments may cause high financial distress, insufficiency, and bankruptcy. In this regard, determination of effects of capital structure decisions on financial failure risk is crucial.
Aim: The main purpose of this study is to explore the relationship between capital structure decisions and financial failure risk. For this purpose, data from Borsa İstanbul (BIST) for listed food and beverage companies for the period from 2004 to 2019 is used. Another purpose of this study is to compare the financial failure models considering capital structure theories.
Method: In the study, capital structure decisions are associated with five different financial ratios; while the financial failure risk is proxied by financial failure scores of Altman (1968), Springate (1978), Ohlson (1980), Taffler (1983), and Zmijewski (1984). Therefore, five different panel data models are used for testing these hypotheses.
Findings: The results of panel data analysis reveal that capital structure decisions have statistically significant effects on financial failure risk for all models; however, those effects vary from one financial failure model to another. Also, the results show that in the models in which financial failure risk is proxied by the Altman (1968) and Taffler (1983) scores, the aggressive financial policies increase the financial failure risk. However, regarding the models in which financial failure risk is proxied by the Springate (1978), Ohlson (1980), and Zmijewski (1984) scores, aggressive financial policies decrease the financial failure risk.
Originality of the Study: To the best of our knowledge, this chapter is original and important in terms of revealing the effects of capital structure decisions on the financial failure risk and comparing the financial failure models.
Implications: The results revealed that the risk of financial failure models represented by Altman (1968) and Taffler (1983) scores are found to be statistically stronger and more successful in meeting theoretical expectations compared to other models. Therefore, it would be more appropriate to refer Altman’s (1968) and Taffler’s (1983) financial failure models in financial failure risk measurements.
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Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen and Wolfgang Karl Härdle
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is…
Abstract
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is based on least absolute shrinkage and selection operator quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identify risk factors. In practice, FRM is applied to the return time series of selected financial institutions and macroeconomic risk factors. The authors identify companies exhibiting extreme “co-stress” as well as “activators” of stress. With the SRM@EuroArea, the authors extend to the government bond asset class, and to credit default swaps with FRM@iTraxx. FRM is a good predictor for recession probabilities, constituting the FRM-implied recession probabilities. Thereby, FRM indicates tail event behavior in a network of financial risk factors.
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This study investigates how disclosure of the board of directors’ leadership and role in risk oversight (BODs oversight disclosure) influences investors’ judgments when…
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This study investigates how disclosure of the board of directors’ leadership and role in risk oversight (BODs oversight disclosure) influences investors’ judgments when information on risk exposures is disclosed. The theoretical lens through which we examine this issue involves negativity bias. Sixty-two stock market investors who engage in the evaluation and/or investment of stocks on a regular or professional basis participated in our study. Our results reveal that the addition of BODs oversight disclosure (positive information) does not carry significant weight on investor judgments (i.e., attractiveness and investment) when financial statement disclosures indicate a high level of operational and financial risk exposures (negative information). In contrast, under the condition of a low level of risk exposures, BODs oversight disclosure causes investors to assess higher risk in terms of worry, catastrophic potentials and unfamiliarity about risk information and, in turn, make less favorable investor judgments. Our findings add to the literature on negativity bias and contribute to the debate on the usefulness of disclosures about risk.
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