Nos derniers articles

"#banks take costly actions (such as higher #capitalization, #liquidity holding, and advanced #riskmanagement) to avoid financial distress and #bankruns ... We show that #prudential #regulations have an informational impact: sufficiently tight regulations can eliminate inefficient separating equilibria in banks’ signaling game, thereby changing the information available to creditors and their incentives to run."

This paper examines the use of #machinelearning methods in the context of #banks' #capitalrequirements, specifically the internal Ratings Based (#irb) approach. The authors discuss the advantages and risks of using machine learning in this domain, and provide recommendations related to #risk parameter estimations, #regulatory capital, the trade-off between performance and interpretability, international #banking competition, and #governance, #operationalrisk, and training.

This paper introduces the application of Deep Reinforcement Learning (#drl) in #alm, addressing limitations of traditional methods reliant on human judgement. The findings highlight the potential of DRL to enhance #riskmanagement outcomes for #insurers, #banks, #pensionfunds, and #assetmanagers, providing improved adaptability to changing market conditions.

"We examine the impact of the U.S. withdrawal from the #parisagreement on the relationship between #climaterisk and #systemicrisk of #us #globalbanking. We find that after 2017, investors stopped pricing climate risk into U.S. systemic risk directly, consistent with domestic investors expecting climate risk #deregulation. However, climate risk still indirectly impacts the U.S. systemic risk through the internal capital markets of U.S. #global #banks operating abroad."

Well-capitalized #banks play a crucial role in supporting economic adaptation to #weather-induced #labor #productivity #risk.

This paper discusses the efficiency, effectiveness, and costs of #denmark's #antimoneylaundering (#aml) #compliance standards. Although the country has caught up with international standards, the current global AML compliance system is ineffective in deterring #moneylaundering by professional actors. The system imposes significant costs on #banks and society, while spending too much time on minor infractions. To improve the system, the author argues for a #risk-based approach that automates large portions of the compliance process and allows compliance staff to focus on investigations.

"From a #riskmanagement perspective, it is challenging to #model physical and #transitionrisks given the #uncertainty around #climaterisk drivers, such as changes in #governmentpolicy aimed at reducing #greenhousegasemissions, the pace of technological change, and uncertainty around the transmission channels. A dearth of in-house modeling tools and reliance on #thirdparty vendors also hamper #banks’ ability to properly understand and manage #risks. The most recent #boe climate biennial exploratory scenario (#cbes) noted that “banks varied in their ability to scrutinize and understand the strengths and weakness of third-party models, and adapt them appropriately to the CBES.” As a result, projected #losses for banks varied widely, suggesting a high degree of uncertainty about the magnitude of climate risks as well as a limited ability to accurately reflect such risks in business decisions."

This study investigates the factors affecting the #capitaladequacy of commercial #banks in #bangladesh using panel data from 28 banks over the period of 2013-2019. The study employs three analytical methods, including the Fixed Effect model, Random Effect model, and Pooled Ordinary Least Square (POLS) method, to analyze the Capital Adequacy Ratio (#car) and #tier1#capitalratio. The study finds that capital adequacy is significantly influenced by several factors, including #leverage, #liquidityrisk, #realgdp, net profit, size, and #inflation.

"#banks that did well in the #gfc also did well in the #pandemic while banks that did poorly during the GFC also did poorly during the pandemic."

"This article discusses the recent bank failures of #svb and #signaturebank and analyzes the balance sheets of these banks to determine if they were outliers or if they represent a systemic problem in #riskmanagement... Our analysis suggests that SVB and Signature were not representative of the canary in the coal mine and that they do not represent the average risk among #banks, but a classic #bankrun run cannot be precluded."