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pour « banks »
It highlights the increasing #regulatory focus on #climaterisk faced by #canada's #banks, both domestically through the #osfi and globally through the adoption of guidelines proposed by the #tcfd. As regulators seek to impose more #monitoring, #disclosure, and mitigation obligations on #financialinstitutions, the article raises whether banks' #capitalrequirements should be increased to reflect the #risks associated with #climatechange.
"... this paper argues that recent #eu#regulatory reform to #corporategovernance, as a means to improve #financialstability is a large-scale intellectual fallacy. Absent EU-wide structural reform to control #risktaking in large and complex #financialinstitutions, the stability of the EU #bankingsector will remain compromised. Smaller and less interconnected #banks will both improve bank corporate governance and create a safer and more stable #financialsector."
This paper proposes a #credit#portfolio approach for evaluating #systemicrisk and attributing it across #financialinstitutions. The proposed model can be estimated from high-frequency credit default swap (#cds) data and captures risks from publicly traded #banks, privately held institutions, and coöperative banks. The approach overcomes limitations of earlier studies by accounting for correlated losses between institutions and also offers a modeling extension to account for #fattails and #skewness of #assetreturns. The model is applied to a universe of banks in #europe, highlighting discrepancies between the #capitaldequacy of the largest contributors to systemic risk and less systemically important banks.
"... model uncertainty is a vital component of the current challenges in risk measurement, and therefore the regulator should design risk measures encouraging well-understood prudent decisions over (less understood) risky ones. From this perspective robust regulation should be a desirable goal. To achieve such an objective, simple – but not simpler – rules are needed."
Proposes a set of novel modeling mechanisms to regulate the size of banks' macroprudential capital buffers by using market-based estimates of systemic risk combined with a structural framework for credit risk assessment. It applies the model to the European banking sector and finds differences with the capital buffers currently assigned by national regulators, which have substantial implications for systemic risk in the EEA.
Proposes a new framework for regulating operational threats such as damage to physical assets, business disruption, and system failures. It suggests replacing rwa regulation with simple buffers of equity and outlines what a "macro-operational" approach to banking supervision might look like. It also acknowledges the limitations of macro-operational supervision and considers what new types of operations-specific emergency tools might need to be devised in response.
"We show that past operational losses are informative of future losses, even after controlling for a wide range of financial characteristics. We propose that the information provided by past losses results from them capturing hard to quantify factors such as the quality of operational risk controls, the risk culture, and the risk appetite of the bank."
"The article provides a short overview of methods for constructing mathematical models in the form of Bayesian Networks for modeling operational risks under conditions of uncertainty. Let’s provide the sequence of actions necessary for creating a model in the form of the network, methods for computing a probabilistic output in BN, and give examples of using the tool to solve practical problems of operational financial risk estimation."
"While stress testing has modernized banks’ internal risk management by spurring the acquisition of highly skilled risk management talent, recent changes to the tests could erode its efficacy."
"This paper ... documents some of the most prominent cases of misconduct, which it summarizes in terms of operational risk losses (using Turner’s framework for analyzing organizational disasters) and also details some egregious examples of operational risk events ..."