Report NEP-BAN-2023-12-18

This is the archive for NEP-BAN, a report on new working papers in the area of Banking. Christian Calmès (Christian Calmes) issued this report. It is usually issued weekly.

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Other reports in NEP-BAN

The following items were announced in this report:

• Ricardo Correa & Julian di Giovanni & Linda S. Goldberg & Camelia Minoiu, 2023, "Trade Uncertainty and U.S. Bank Lending," NBER Working Papers, National Bureau of Economic Research, Inc, number 31860, Nov.
• Adrien d'Avernas & Andrea L. Eisfeldt & Can Huang & Richard Stanton & Nancy Wallace, 2023, "The Deposit Business at Large vs. Small Banks," NBER Working Papers, National Bureau of Economic Research, Inc, number 31865, Nov.
• Matteo Crosignani & Hanh Le, 2023, "Stakeholders’ Aversion to Inequality and Bank Lending to Minorities," Staff Reports, Federal Reserve Bank of New York, number 1079, Nov, DOI: 10.59576/sr.1079.
• Giuseppe Pulina, 2023, "Consumer debt in Luxembourg and the euro area: Evidence from the Household Finance and Consumption Survey," BCL working papers, Central Bank of Luxembourg, number 175, Nov.
• Loretta J. Mester, 2023, "Financial System Resilience," Speech, Federal Reserve Bank of Cleveland, number 97394, Nov.
• Peter Anagnostakos & Jason Bram & Benjamin Chan & Natalia Fischl-Lanzoni & Hasan Latif & James M. Mahoney & Donald P. Morgan & Ladd Morgan & Ivelisse Suarez, 2023, "Banks versus Hurricanes: A Case Study of Puerto Rico after Hurricanes Irma and Maria," Staff Reports, Federal Reserve Bank of New York, number 1078, Nov, DOI: 10.59576/sr.1078.
• Sümeyra Atmaca & Karolin Kirschenmann & Steven Ongena & Koen Schoors, 2023, "Implicit and Explicit Deposit Insurance and Depositor Behavior," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2023_476, Nov.
• Minati Rath & Hema Date, 2023, "Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector," Papers, arXiv.org, number 2311.10799, Nov.
• Tihana Škrinjarić, 2023, "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers, The Croatian National Bank, Croatia, number 72, Nov.
• Congressional Budget Office, 2023, "Administrative Costs of Federal Credit Programs," Reports, Congressional Budget Office, number 59507, Dec.
• Syngjoo Choi & Bongseob Kim & Young-Sik Kim & Ohik Kwon, 2023, "Central Bank Digital Currency and Privacy: A Randomized Survey Experiment," BIS Working Papers, Bank for International Settlements, number 1147, Nov.
• Adame Espinosa Francisco, 2023, "Monetary Rules, Financial Stability and Welfare in a non-Ricardian Framework," Working Papers, Banco de México, number 2023-14, Nov.
• Peter Anagnostakos & Jason Bram & Benjamin Chan & Natalia Fischl-Lanzoni & Hasan Latif & James M. Mahoney & Donald P. Morgan & Ladd Morgan & Ivelisse Suarez, 2023, "Banks versus Hurricanes," Liberty Street Economics, Federal Reserve Bank of New York, number 20231120, Nov.
• Zhiyu Cao & Zachary Feinstein, 2023, "Price-mediated contagion with endogenous market liquidity," Papers, arXiv.org, number 2311.05977, Nov, revised Sep 2024.
• Carlos Canizares Martinez, 2023, "Leaning against housing booms fueled by credit," Working and Discussion Papers, Research Department, National Bank of Slovakia, number WP 9/2023, Nov.
• James Mitchell & Saeed Zaman, 2023, "The Distributional Predictive Content of Measures of Inflation Expectations," Working Papers, Federal Reserve Bank of Cleveland, number 23-31, Nov, DOI: 10.26509/frbc-wp-202331.
• Ichiro Iwasaki & Evžen Kočenda, 2023, "Quest for the General Effect Size of Finance on Growth: A Large Meta-Analysis of Worldwide Studies," CESifo Working Paper Series, CESifo, number 10740.
• Richard K. Crump & Marco Del Negro & Keshav Dogra & Pranay Gundam & Donggyu Lee & Ramya Nallamotu & Brian Pacula, 2023, "The New York Fed DSGE Model Perspective on the Lagged Effect of Monetary Policy," Liberty Street Economics, Federal Reserve Bank of New York, number 20231121b, Nov.
• IWASAKI, Ichiro & ONO, Shigeki, 2023, "Economic Development and the Finance-Growth Nexus : A Meta-Analytic Approach," CEI Working Paper Series, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University, number 2023-06, Nov.
• Darren Aiello & Scott R. Baker & Tetyana Balyuk & Marco Di Maggio & Mark J. Johnson & Jason D. Kotter, 2023, "Who Invests in Crypto? Wealth, Financial Constraints, and Risk Attitudes," NBER Working Papers, National Bureau of Economic Research, Inc, number 31856, Nov.
• Richard K. Crump & Marco Del Negro & Keshav Dogra & Pranay Gundam & Donggyu Lee & Ramya Nallamotu & Brian Pacula, 2023, "A Bayesian VAR Model Perspective on the Lagged Effect of Monetary Policy," Liberty Street Economics, Federal Reserve Bank of New York, number 20231121a, Nov.
• Ixandra Achitouv & Dragos Gorduza & Antoine Jacquier, 2023, "Natural Language Processing for Financial Regulation," Papers, arXiv.org, number 2311.08533, Nov.
• Mohammadreza Mahmoudi, 2023, "Examining the Effect of Monetary Policy and Monetary Policy Uncertainty on Cryptocurrencies Market," Papers, arXiv.org, number 2311.10739, Oct.
• Abel Sancarlos & Edgar Bahilo & Pablo Mozo & Lukas Norman & Obaid Ur Rehma & Mihails Anufrijevs, 2023, "Towards a data-driven debt collection strategy based on an advanced machine learning framework," Papers, arXiv.org, number 2311.06292, Nov.
• Koch, Svea & Aleksandrova, Mariya, 2024, "The future of climate and development finance: Balancing separate accounting with integrated policy responses," IDOS Policy Briefs, German Institute of Development and Sustainability (IDOS), Bonn, number 19/2023 (2nd, rev. ed.), revised 2024, DOI: 10.23661/ipb19.2023.v2.0.
• Besley, Timothy & Fetzer, Thiemo & Mueller, Hannes, 2023, "How Big is the Media Multiplier? Evidence from Dyadic News Data," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1483.
• Yongchen Zhao, 2023, "Uncertainty of Household Inflation Expectations: Reconciling Point and Density Forecasts," Working Papers, Towson University, Department of Economics, number 2023-09, Dec, revised Dec 2023.
• Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023, "Optimal resource allocation: Convex quantile regression approach," Papers, arXiv.org, number 2311.06590, Nov.