Financial stability and Basel II

The Basel II Advanced Internal Ratings (AIRB) approach is compared to capital requirements set using an equilibrium structural credit risk model. Analysis shows the AIRB approach undercapitalizes credit risk relative to regulatory targets and allows wide variation in capital requirements for a given exposure owing to ambiguity in the definitions of loss given default and exposure at default. In contrast, the Foundation Internal Ratings Based (FIRB) approach may over-capitalize credit risk relative to supervisory objectives. It is unclear how Basel II will buttress financial sector stability as it specifies the weakest regulatory capital standard for large complex AIRB banks.      

The predictive ability of loan loss provisions in banks – Effects of accounting standards,enforcement and incentives

In this study we compare the predictive ability of loan loss provisions with respect to actual losses under IFRS and local GAAP. The ‘incurred loss model’ of IAS 39 is a model that requires a relatively low level of judgment by preparers compared to alternative models that exist under local GAAP. We find that loan loss provisions in IFRS bank years predict future credit losses to a lesser extent than in local GAAP bank years, consistent with the incurred loss model reducing the timeliness of provisions. We also examine the interaction of standards with enforcement of financial reporting and with preparer incentives. In testing the role of enforcement from, e.g., banking supervisory authorities, we find that the benefits of local GAAP are largely limited to high-enforcement settings. Local GAAP also performs relatively better than IFRS in large and in profitable banks. This has implications for the IASB and the FASB as they prescribe the adoption of the more judgment-based expected loss model in IFRS 9 and the corresponding US GAAP standard (ASC topic 326), as well as for supervisory authorities that will enforce these standards.     

Prudential Application of IFRS 9: (Un)Fair Reporting in COVID‐19 Crisis for Banks Worldwide?!

IFRS 9 and ASC 326 were developed after the 2008–2009 financial crisis, and both accounting standards include an expected loss model as a means of providing for credit losses. As a result of the COVID‐19 worldwide pandemic, however, banks face considerable uncertainty about the potential scale of the bad debts for which they will need to provide. Banks need to reassess their loan assets, by updating their risk models with expectations about potential default rates and future macro‐economic and financial developments. However, we see several interventions worldwide. The European Securities and Markets Authority addresses a position paper on the prudential application of IFRS 9. The Coronavirus Aid, Relief, and Economic Security Act in the US has given banks an optional deferral of implementation of the CECL model until 31 December 2020. This paper addresses the challenges banks face when applying the expected losses model during the current crisis. More importantly, it discusses the impact of supervisor and regulators’ intervention on future financial reporting comparability, transparency and whether there is a level playing field.     

CECL: Timely Loan Loss Provisioning and Bank Regulation

We investigate how provisioning models interact with bank regulation to affect banks' risk-taking behavior. We study an accuracy versus timeliness trade-off between an incurred loss model (IL) and an expected loss model (EL) such as current expected credit loss model or International Financial Reporting Standards 9. Relative to IL, even though EL improves efficiency by prompting earlier corrective action in bad times, it induces banks to originate either safer or riskier loans. Trading off ex post benefits versus ex ante real effects, we show that more timely information under EL enhances efficiency either when banks are insufficiently capitalized or when regulatory intervention is likely to be effective. Conversely, when banks are moderately capitalized and regulatory intervention is sufficiently costly, switching to EL impairs efficiency. From a policy perspective, our analysis highlights the roles that regulatory capital and the effectiveness of regulatory intervention play in determining the economic consequences of provisioning models. EL spurs credit supply and improves financial stability in economies where intervening in banks' operations is relatively frictionless and/or regulators can tailor regulatory capital to incorporate information about credit losses.     

The role of non-financial factors in internal credit ratings

Internal credit ratings are expected to gain in importance because of their potential use for determining regulatory capital adequacy and banks' increasing focus on the risk–return profile in commercial lending. Whereas the eligibility of financial factors as inputs for internal credit ratings is widely accepted, the role of non-financial factors remains ambiguous. Analyzing credit file data from four major German banks, we find evidence that the combined use of financial and non-financial factors leads to a more accurate prediction of future default events than the single use of each of these factors.     

The Role of Auditing Firms in the Implementation of New Accounting Standards: Evidence from China

This paper explores the impact of auditing firms on the implementation of the new Chinese Accounting Standards for Enterprises 22 (new CAS 22), which converges with IFRS 9. We find that the Big4 firms focus on fair value measurement and application of the expected credit loss (ECL) impairment model, whereas the LocalTop6 firms primarily focus on the classification of financial assets. The results indicate that effective implementation of the new standards mainly depends on standardized procedures and professional techniques of auditing firms, as the Big4 firms exhibit better implementation of the new standards in terms of items that generate greater risk and uncertainty than do local large auditing firms in China. In addition, we further test how cross-listing affects the role of auditing firms in implementing the new standards and find that the Big4 firms play a more significant role for A-share only companies than A + H companies. The findings reveal the challenges associated with implementation of IFRS 9-based new CAS 22 in China.     

The credit quality channel: Modeling contagion in the interbank market

We propose an algorithm to model contagion in the interbank market via what we term the “credit quality channel”. In existing models on contagion via interbank credit, external shocks to banks often spread to other banks only in case of a default. In contrast, shocks are transmitted also via asset devaluations and deteriorations in the credit quality in our algorithm. First, the probability of default (PD) of those banks directly affected by some shock increases. This increases the expected loss of the credit portfolios of the initially affected banks’ counterparties, thereby reducing the counterparties’ regulatory capital ratio. From a logistic regression we estimate the increase in the counterparties’ PD due to a reduced capital ratio. Their increased PDs in turn affect the counterparties’ counterparties, and so on. This coherent and flexible framework is applied to the bilateral interbank credit exposure of the entire German banking system in order to examine policy questions. For that purpose, we propose to measure the potential cost of contagion of a given shock scenario by the aggregated regulatory capital loss computed in our algorithm.     

Did the Market Signal Impending Problems at Northern Rock? An Analysis of Four Financial Instruments

The academic literature has regularly argued that market discipline can support regulatory authority mechanisms in ensuring banking sector stability. This includes, amongst other things, using forward‐looking market prices to identify those credit institutions that are most at risk of failure. The paper's key aim is to analyse whether market investors signalled potential problems at Northern Rock in advance of the bank announcing that it had negotiated emergency lending facilities at the Bank of England in September 2007. A further aim of the paper is to examine the signalling qualities of four financial market instruments (credit default swap spreads, subordinated debt spreads, implied volatility from options prices and equity measures of bank risk) so as to explore both the relative and individual qualities of each. The paper's findings, therefore, contribute to the market discipline literature on using market data to identify bank risk‐taking and enhancing supervisory monitoring. Our analysis suggests that private market participants did signal impending financial problems at Northern Rock. These findings lend some empirical support to proposals for the supervisory authorities to use market information more extensively to improve the identification of troubled banks. The paper identifies equities as providing the timeliest and clearest signals of bank condition, whilst structural factors appear to hamper the signalling qualities of subordinated debt spreads and credit default swap spreads. The paper also introduces idiosyncratic implied volatility as a potentially useful early warning metric for supervisory authorities to observe.     

IASB's independence in the due process: an examination of interest groups’ influence on the development of IFRS 9

This mixed-method study examines whether and how the International Accounting Standards Board (IASB) was influenced by interest groups during the development of the expected credit loss (ECL) model for IFRS 9 Financial Instruments. Content analysis of 327 comment letters revealed that the IASB was influenced. However, Fisher's exact test and chi-square goodness-of-fit test showed that, to a greater extent, the influence was not significant. Furthermore, qualitative analyses of the arguments put forward by interest groups showed that as a result of interest groups’ inputs, accounting requirements for the ECL model were made more operational, less complex and potentially productive of more comparable financial information.     

Credit Portfolio Loss Forecasts for Economic Downturns

Recent studies find a positive correlation between default and loss given default rates of credit portfolios. In response, financial regulators require financial institutions to base their capital on 'Downturn' loss rates given default which are also known as Downturn LGDs. This article proposes a concept for the Downturn LGD which incorporates econometric properties of credit risk as well as the information content of default and loss given default models. The concept is compared to an alternative proposal by the Department of the Treasury, the Federal Reserve System and the Federal Insurance Corporation. An empirical analysis is provided for US American corporate bond portfolios of different credit quality, seniority and security.     

Parameterizing credit risk models with rating data

Estimates of average default probabilities for borrowers assigned to each of a financial institution's internal credit risk rating grades are crucial inputs to portfolio credit risk models. Such models are increasingly used in setting financial institution capital structure, in internal control and compensation systems, in asset-backed security design, and are being considered for use in setting regulatory capital requirements for banks. This paper empirically examines properties of the major methods currently used to estimate average default probabilities by grade. Evidence of potential problems of bias, instability, and gaming is presented. With care, and perhaps judicious application of multiple methods, satisfactory estimates may be possible. In passing, evidence is presented about other properties of internal and rating-agency ratings.     

Impairments of Greek Government Bonds under IAS 39 and IFRS 9: A Case Study

International Financial Reporting Standard 9 (IFRS 9) 9 introduces new impairment rules responding to the G20 critique that International Accounting Standard 39 (IAS 39) results in the delayed and insufficient recognition of credit losses. In a case study of a Greek government bond for the period 2009–2011 when Greece’s credit rating declined sharply, this paper highlights the discretion that preparers have when estimating impairments. IFRS 9 relies more on management expectations and will lead to earlier impairments. However, these appear still delayed and low if compared to the fair value losses.     

The Effect of Forward‐looking Criteria and IFRS on the Informativeness of Banks’ Loan Loss Allowances: Evidence from Korea

This study analyses how forward‐looking criteria (FLC) and International Financial Reporting Standards (IFRS), as well as changes in accounting principles, affect the informativeness of banks’ loan loss allowances. The results indicate that although the relationship between non‐performing loans and loan loss allowances strengthened after the application of FLC, the relationship between non‐performing loans and loan loss allowances weakened and that between net charge‐offs and loan loss allowances strengthened after the application of IFRS, presumably because banks delayed the reflection of insolvent loans on loan loss allowances in the latter case. Moreover, the introduction of IFRS did not improve the ability to predict the future charge‐off scale using loan loss allowances, referred to as the ‘informativeness of loan loss allowances’. This result occurred because IFRS's incurred loss model does not incorporate the impact of macroeconomic situations into loan loss allowances in the early stage, although it does enhance the accuracy of loan loss allowances. By exploring the effect of accounting principles on the determinants of loan loss allowances, this study has implications for the assessment of loan loss allowances, capital adequacy and asset quality for stakeholders such as depositors, creditors, capital markets and financial supervisory authorities.     

Are international accounting standards more credit relevant than domestic standards?

We examine whether the credit relevance of financial statements, defined as the ability of accounting numbers to explain credit ratings, is higher after firms are required to report under International Financial Reporting Standards (IFRS). We find an improvement in credit relevance for firms in 17 countries after mandatory IFRS reporting is introduced in 2005; this increase is higher than that reported for a matched sample of US firms. The increase in credit relevance is particularly pronounced for higher risk speculative-grade issuers, where accounting information is predicted to be more important; and for IFRS adopters with large first-time reconciliations, where the impact of IFRS is expected to be greater. These tests provide reassurance that the overall enhancement in estimated credit relevance is driven by accounting changes related to IFRS adoption. Our results suggest that credit rating analysts’ views of economic fundamentals are more closely aligned with IFRS numbers, and that analysts anticipate at least some of the effects of the IFRS transition.     

Credit Derivatives and the Default Risk of Large Complex Financial Institutions

This paper proposes and implements a multivariate model of the coevolution of the first and second moments of two broad credit default swap indices and the equity prices of sixteen large complex financial institutions. We use this empirical model to build a bank default risk model, in the vein of the classic Merton-type, which utilises a multi-equation framework to model forward-looking measures of market and credit risk using the credit default swap (CDS) index market as a measure of the conditions of the global credit environment. In the first step, we estimate the dynamic correlations and volatilities describing the evolution of the CDS indices and the banks’ equity prices and then impute the implied assets and their volatilities conditional on the evolution and volatility of equity. In the second step, we show that there is a substantial ‘asset shortfall’ and that substantial capital injections and/or asset insurance are required to restore the stability of our sample institutions to an acceptable level following large shocks to the aggregate level of credit risk in financial markets.     

银行业改革、市场化与信贷资源的配置

鉴于我国资本市场弱法律风险和股权高度集中的基本特征,本文提出了一个分析我国银行信贷业务预期违约风险的基本框架。以此为基础,本文考察了我国的银行业改革以及市场化进程对银行信贷资源配置行为的影响。研究发现,银行配置信贷资源时,会认真考虑贷款企业的历史财务绩效和代理成本。并且,银行业改革和地区市场化进程都成功促进了银行信贷资源配置行为的商业化。本文的研究为评价银行业改革的历史进程提供了经验证据,也为进一步的努力方向提供了一些有益的线索。一方面,银行在配置其信贷资源时不仅要进一步关注贷款企业的财务绩效;另一方面,也应当致力于促使银行在确立必要报酬率时进一步关注贷款企业的代理成本。     

Capital inflows,monetary policy,and financial imbalances

Ahead of the global financial crisis, financial imbalances built up across advanced economies as credit grew and was increasingly funded in wholesale financial markets. This paper investigates empirically three potential drivers of the build-up of these financial imbalances: rising global imbalances (capital flows); loose monetary policy; and inadequate supervision and regulation. We perform panel data regressions for OECD countries from 1999 to 2007 to explore the relative importance of these factors. We find that differences in the build-up of wholesale-funded credit were driven by the strength of capital inflows. Moreover, we document an interaction effect, whereby the effect of inflows on the build-up was amplified where the supervisory and regulatory environment was relatively weak. In contrast, differences in monetary policy did not significantly affect differences across countries in the build-up of these financial imbalances ahead of the crisis.     

Assessing banks’ resilience: A complementary approach to stress testing using fair values from banks’ financial statements

For more than a decade, supervisory banking authorities in Europe and the United States have sought to assess the resilience of banks to adverse economic episodes to safeguard the financial system's stability. They rely on regulatory capital measures like Common Equity Tier 1 (CET1) relative to risk-weighted assets in the aftermath of potential economic crises. We propose a new measure of banks' resilience based on financial statements. The fair value margin (FVM) is estimated as the difference between the fair value of assets and the book value of liabilities, scaled by the book value of equity. We find that FVM is positively associated with the surplus or shortfall of CET1 resulting from the stress testing results from 2014, 2016 and 2018. To corroborate the relevance of FVM for supervisory authorities, we compare the ability of the loan component of FVM to predict future credit losses with the capital surplus/shortfall metric derived from the stress test. The findings indicate that the fair value of loans predicts net charge-offs better than stress test outcomes. Therefore, we suggest that FVM could be used as a readily available and relatively low-cost tool to assess bank resilience, thus complementing the stress test exercises.     

Disincentives to exchange customized local GAAP for IFRS

The global adoption of International Financial Reporting Standards (IFRS) resulted in the loss of local Generally Accepted Accounting Principles (GAAP). Some local GAAPs were tailored to capture the adopting jurisdictions' economic nuances, which IFRS may not address. One example is our setting, where, unlike IFRS, Canadian GAAP allowed the recognition of regulatory claims (i.e., assets and liabilities). Given this disparity, Canadian regulators granted rate-regulated entities the choice to opt out of Canada’s mandatory adoption of IFRS. Leveraging this unique setting, we test whether the loss of allowances under local GAAP is costly enough to deter companies from adopting IFRS. We find evidence that utilities with a history of capitalizing regulatory assets under Canadian GAAP are significantly less likely to adopt IFRS. This relation is more pronounced when a company has higher regulatory assets recognized under local GAAP, engages with the US capital markets, and has a high perceived cost of raising future capital. However, we find that the future cost of capital is lower for entities that adopt IFRS after historically capitalizing regulatory assets. Our results identify a new cost of adopting IFRS largely unexplored in the literature: the cost of losing jurisdictionally tailored accounting standards not included within IFRS.