Regulation of Financial Institutions eJournal最新文献_第9页

Could the 1933 Glass-Steagall Act Have Prevented the Financial Crisis? 1933年的格拉斯-斯蒂格尔法案能阻止金融危机吗?

Regulation of Financial Institutions eJournal Pub Date : 2020-10-25 DOI: 10.2139/ssrn.3726739

Maxime Delabarre

引用次数: 0

What are the Financial Systemic Implications of Access and Non-access to Federal Reserve Deposit Accounts for Central Counterparties? 中央交易对手进入和不进入美联储存款账户对金融系统的影响是什么?

Regulation of Financial Institutions eJournal Pub Date : 2020-10-21 DOI: 10.21033/wp-2020-21

Maggie Sklar

引用次数: 0

The Interaction Between Macroprudential Policy and Monetary Policy: Overview 宏观审慎政策与货币政策的互动:综述

Regulation of Financial Institutions eJournal Pub Date : 2020-10-20 DOI: 10.2139/ssrn.3716128

M. Bussière, Jin Cao, Jakob de Haan, Bob Hills, Simon Lloyd, Baptiste Meunier, Justine Pedrono, Dennis Reinhardt, Sonalika Sinha, R. Sowerbutts, K. Styrin

{"title":"The Interaction Between Macroprudential Policy and Monetary Policy: Overview","authors":"M. Bussière, Jin Cao, Jakob de Haan, Bob Hills, Simon Lloyd, Baptiste Meunier, Justine Pedrono, Dennis Reinhardt, Sonalika Sinha, R. Sowerbutts, K. Styrin","doi":"10.2139/ssrn.3716128","DOIUrl":"https://doi.org/10.2139/ssrn.3716128","url":null,"abstract":"This paper presents the main findings of an International Banking Research Network initiative examining the interaction between monetary policy and macroprudential policy in determining international bank lending. We give an overview on the data, empirical specifications and results of the seven papers from the initiative. The papers are from a range of core and smaller advanced economies, and emerging markets. The main findings are as follows. First, there is evidence that macroprudential policy in recipient countries can partly offset the spillover effects of monetary policy conducted in core countries. Meanwhile, domestic macroprudential policy in core countries can also affect the cross‑border transmission of domestic monetary policy via lending abroad, by limiting the increase in lending by less strongly capitalised banks. Second, the findings highlight that studying heterogeneities across banks provides complementary insights to studies using more aggregate data and focusing on average effects. In particular, we find that individual bank characteristics such as bank size or G‑SIB status play a first‑order role in the transmission of these policies. Finally, the impacts differ considerably across prudential policy instruments, which also suggests the importance of more granular analysis.","PeriodicalId":20999,"journal":{"name":"Regulation of Financial Institutions eJournal","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90341644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Uncovering Mutual Fund Private Information with Machine Learning 用机器学习揭示共同基金的私有信息

Regulation of Financial Institutions eJournal Pub Date : 2020-10-17 DOI: 10.2139/ssrn.3713966

Alan L. Zhang

引用次数: 4

Medicine Or An Addictive Drug?: The Vicious Cycle Of Regulatory Forbearance 药物还是成瘾性药物?:容忍监管的恶性循环

Regulation of Financial Institutions eJournal Pub Date : 2020-10-15 DOI: 10.2139/ssrn.3740631

Nithin Mannil, Naman Nishesh, Prasanna Tantri

引用次数: 2

Transition Risks and Opportunities in Residential Mortgages 住房抵押贷款的转型风险与机遇

Regulation of Financial Institutions eJournal Pub Date : 2020-10-01 DOI: 10.2139/ssrn.3726012

Franziska Schuetze

引用次数: 5

Liquidity, Interbank Network Topology and Bank Capital 流动性、银行间网络拓扑和银行资本

Regulation of Financial Institutions eJournal Pub Date : 2020-10-01 DOI: 10.2139/ssrn.3707090

Aref Mahdavi Ardekani

{"title":"Liquidity, Interbank Network Topology and Bank Capital","authors":"Aref Mahdavi Ardekani","doi":"10.2139/ssrn.3707090","DOIUrl":"https://doi.org/10.2139/ssrn.3707090","url":null,"abstract":"\u0000Purpose\u0000While previous literature has emphasized the causal relationship from liquidity to capital, the impact of interbank network characteristics on this relationship remains unclear. By applying the interbank network simulation, this paper aims to examine whether the causal relationship between capital and liquidity is influenced by bank positions in the interbank network.\u0000\u0000\u0000Design/methodology/approach\u0000Using the sample of 506 commercial banks established in 28 European countries from 2001 to 2013, the author adopts the generalized method of moments simultaneous equations approach to investigate whether interbank network characteristics influence the causal relationship between bank capital and liquidity.\u0000\u0000\u0000Findings\u0000Drawing on a sample of commercial banks from 28 European countries, this study suggests that the interconnectedness of banks within interbank loan and deposit networks shapes their decisions to establish higher or lower regulatory capital ratios in the face of increased illiquidity. These findings support the implementation of minimum liquidity ratios alongside capital ratios, as advocated by the Basel Committee on Banking Regulation and Supervision. In addition, the paper underscores the importance of regulatory authorities considering the network characteristics of banks in their oversight and decision-making processes.\u0000\u0000\u0000Originality/value\u0000This paper makes a valuable contribution to the current body of research by examining the influence of interbank network characteristics on the relationship between a bank’s capital and liquidity. The findings provide insights that add to the ongoing discourse on regulatory frameworks and emphasize the necessity of customized approaches that consider the varied interbank network positions of banks.\u0000","PeriodicalId":20999,"journal":{"name":"Regulation of Financial Institutions eJournal","volume":"3 4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78512315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

On the Origin of Systemic Risk 论系统性风险的起源

Regulation of Financial Institutions eJournal Pub Date : 2020-09-25 DOI: 10.2139/ssrn.3699369

Mattia Montagna, G. Torri, Giovanni Covi

{"title":"On the Origin of Systemic Risk","authors":"Mattia Montagna, G. Torri, Giovanni Covi","doi":"10.2139/ssrn.3699369","DOIUrl":"https://doi.org/10.2139/ssrn.3699369","url":null,"abstract":"Systemic risk in the banking sector is usually associated with long periods of economic downturn and very large social costs. On one hand, shocks coming from correlated exposures towards the real economy may induce correlation in banks’ default probabilities thereby increasing the likelihood for systemic tail events like the 2008 Great Financial Crisis. On the other hand, financial contagion also plays an important role in generating large-scale market failures, amplifying the initial shocks coming from the real economy. To study the sources of these rare phenomena, we propose a new definition of systemic risk (ie the probability of a large number of banks going into distress simultaneously) and thus we develop a multilayer microstructural model to study empirically the determinants of systemic risk. The model is then calibrated on the most comprehensive granular dataset for the euro-area banking sector, capturing roughly 96% or €23.2 trillion of euro-area banks’ total assets over the period 2014–2018. The outputs of the model decompose and quantify the sources of systemic risk showing that correlated economic shocks, financial contagion mechanisms, and their interaction are the main sources of systemic events. The results obtained with the simulation engine resemble common market-based systemic risk indicators and empirically corroborate findings from existing literature. This framework gives regulators and central bankers a tool to study systemic risk and its developments, pointing out that systemic events and banks’ idiosyncratic defaults have different drivers, hence implying different policy responses.","PeriodicalId":20999,"journal":{"name":"Regulation of Financial Institutions eJournal","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88945439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Redemption in Kind and Mutual Fund Liquidity Management 实物赎回与共同基金流动性管理

Regulation of Financial Institutions eJournal Pub Date : 2020-09-21 DOI: 10.2139/ssrn.3527846

V. Agarwal, Honglin Ren, Ke Shen, Haibei Zhao

引用次数: 7

Looking for New Lenses: How Regulation Should Cope with the Financial Market Infrastructures Evolution 寻找新的视角:监管应如何应对金融市场基础设施的演变

Regulation of Financial Institutions eJournal Pub Date : 2020-09-21 DOI: 10.2139/ssrn.3759177

Carmine Di Noia, Luca Filippa

引用次数: 1