Deposit Competition and Mortgage Securitization
Danny McGowan, Huyen Nguyen, Klaus Schaeck
Journal of Money, Credit and Banking,
im Erscheinen
Abstract
We study how deposit competition affects a bank's decision to securitize mortgages. Exploiting the state-specific removal of deposit market caps across the U.S. as a source of competition, we find a 7.1 percentage point increase in the probability that banks securitize mortgage loans. This result is driven by an 11 basis point increase in deposit costs and corresponding reductions in banks' deposit holdings. Our results are strongest among banks that rely more on deposit funding. These findings highlight a hitherto undocumented and unintended regulatory cause that motivates banks to adopt the originate-to-distribute model.
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Climate-resilient Economic Development in Vietnam: Insights from a Dynamic General Equilibrium Analysis (DGE-CRED)
Andrej Drygalla, Katja Heinisch, Christoph Schult
IWH Technical Reports,
Nr. 1,
2024
Abstract
In a multi-sector and multi-region framework, this paper employs a dynamic general equilibrium model to analyze climate-resilient economic development (DGE-CRED) in Vietnam. We calibrate sector and region-specific damage functions and quantify climate variable impacts on productivity and capital formation for various shared socioeconomic pathways (SSPs 119, 245, and 585). Our results based on simulations and cost-benefit analyses reveal a projected 5 percent reduction in annual GDP by 2050 in the SSP 245 scenario. Adaptation measures for the dyke system are crucial to mitigate the consumption gap, but they alone cannot sufficiently address it. Climate-induced damages to agriculture and labor productivity are the primary drivers of consumption reductions, underscoring the need for focused adaptation measures in the agricultural sector and strategies to reduce labor intensity as vital policy considerations for Vietnam’s response to climate change.
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10.04.2024 • 12/2024
IWH-Insolvenztrend: Zahl der Firmenpleiten im März abermals auf Rekordniveau
Die Zahl der Insolvenzen von Personen- und Kapitalgesellschaften ist im März auf einen weiteren Höchstwert gestiegen. Nie seit Beginn der Erhebung durch das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) im Januar 2016 gab es mehr Firmenpleiten. Allerdings ist ein Ende des Anstiegs der Insolvenzzahlen in Sicht.
Steffen Müller
Lesen
Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
Nr. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
Nr. 2,
2024
Abstract
This paper develops a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.
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Is Risk the Fuel of the Business Cycle? Financial Frictions and Oil Market Disturbances
Christoph Schult
IWH Discussion Papers,
Nr. 4,
2024
Abstract
I estimate a dynamic stochastic general equilibrium (DSGE) model for the United States that incorporates oil market shocks and risk shocks working through credit market frictions. The findings of this analysis indicate that risk shocks play a crucial role during the Great Recession and the Dot-Com bubble but not during other economic downturns. Credit market frictions do not amplify persistent oil market shocks. This result holds as long as entry and exit rates of entrepreneurs are independent of the business cycle.
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12.01.2024 • 2/2024
Grüne Transformation und Schuldenbremse: Implikationen zusätzlicher Investitionen für öffentliche Finanzen und privaten Konsum
Das deutsche Klimaschutzgesetz sieht unter anderem vor, dass die Treibhausgas-Emissionen in Deutschland bis zum Jahr 2030 um 65% gegenüber dem Jahr 1990 verringert werden. Die für dieses Ziel erforderlichen grünen Investitionen dürften jährlich etwa 2,5% in Relation zum Bruttoinlandsprodukt ausmachen. Die damit verbundenen zusätzlichen staatlichen Ausgaben für öffentliche Investitionen und Fördermaßnahmen werden nach der mittelfristigen Projektion des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH) nicht aus dem zu erwartenden Steueraufkommen finanzierbar sein. Daher ist damit zu rechnen, dass die steuerliche Belastung der Haushalte zunehmen und der private Konsum entsprechend gedämpft wird, sofern an der gegenwärtigen Form der Schuldenbremse und den Treibhausgasminderungszielen gleichzeitig festgehalten wird.
Oliver Holtemöller
Lesen
Financial Technologies and the Effectiveness of Monetary Policy Transmission
Iftekhar Hasan, Boreum Kwak, Xiang Li
European Economic Review,
January
2024
Abstract
This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.
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Grüne Transformation und Schuldenbremse: Implikationen zusätzlicher Investitionen für öffentliche Finanzen und privaten Konsum
Andrej Drygalla, Katja Heinisch, Oliver Holtemöller, Axel Lindner, Alessandro Sardone, Christoph Schult, Birgit Schultz, Götz Zeddies
Konjunktur aktuell,
Nr. 4,
2023
Abstract
Das deutsche Klimaschutzgesetz sieht unter anderem vor, dass die Treibhausgas-Emissionen in Deutschland bis zum Jahr 2030 um 65% gegenüber dem Jahr 1990 verringert werden. Die damit einhergehende Transformation der Wirtschaft hat weitreichende Konsequenzen für die gesamtwirtschaftliche Entwicklung und die öffentlichen Finanzen. Alles in allem erfordert der Ausbau erneuerbarer Energien für die Klimaschutzziele jährliche Investitionen in der Größenordnung von 2,5% in Relation zum Bruttoinlandsprodukt. Mithilfe eines makroökonomischen Modells kann gezeigt werden, mit welchen gesamtwirtschaftlichen Entwicklungen zu rechnen ist, wenn die Klimaschutzziele eingehalten werden.
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Medienecho
Medienecho Dezember 2024 Steffen Müller: Neustart statt Aus: So überstanden drei sächsische Unternehmen die Insolvenz in: Sächsische.de, 01.12.2024 November 2024 Steffen Müller:…
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