Banks’ Equity Performance and the Term Structure of Interest Rates
Elyas Elyasiani, Iftekhar Hasan, Elena Kalotychou, Panos K. Pouliasis, Sotiris Staikouras
Financial Markets, Institutions & Instruments,
im Erscheinen
Abstract
Using an extensive global sample, this paper investigates the impact of the term structure of interest rates on bank equity returns. Decomposing the yield curve to its three constituents (level, slope and curvature), the paper evaluates the time-varying sensitivity of the bank’s equity returns to these constituents by using a diagonal dynamic conditional correlation multivariate GARCH framework. Evidence reveals that the empirical proxies for the three factors explain the variations in equity returns above and beyond the market-wide effect. More specifically, shocks to the long-term (level) and short-term (slope) factors have a statistically significant impact on equity returns, while those on the medium-term (curvature) factor are less clear-cut. Bank size plays an important role in the sense that exposures are higher for SIFIs and large banks compared to medium and small banks. Moreover, banks exhibit greater sensitivities to all risk factors during the crisis and postcrisis periods compared to the pre-crisis period; though these sensitivities do not differ for market-oriented and bank-oriented financial systems.
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Energy Markets and Global Economic Conditions
Christiane Baumeister, Dimitris Korobilis, Thomas K. Lee
NBER Working Paper,
Nr. 27001,
2020
Abstract
This paper evaluates alternative indicators of global economic activity and other market fundamentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of the most useful indicators that has been proposed in the literature. However, by combining measures from a number of different sources we can do even better. Our analysis results in a new index of global economic conditions and new measures for assessing future tightness of energy demand and expected oil price pressures.
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„Evaluation der Gemeinschaftsaufgabe ‚Verbesserung der regionalen Wirtschaftsstruktur‘ (GRW)“ durch einzelbetriebliche Erfolgskontrolle
Matthias Brachert, Hans-Ulrich Brautzsch, Eva Dettmann, Alexander Giebler, Lutz Schneider, Mirko Titze
IWH Online,
Nr. 5,
2020
Abstract
Die „Gemeinschaftaufgabe ‚Verbesserung der regionalen Wirtschaftsstruktur‘ (GRW)“ repräsentiert das wichtigste Instrument der Regionalpolitik in Deutschland. Das Förderprogramm gewährt nicht-rückzahlbare Zuschüsse als Anteilsfinanzierung für Investitionsprojekte von Betriebsstätten (und Kommunen) im GRW-Fördergebiet. Die Festlegung des Fördergebiets erfolgt anhand eines aus verschiedenen Teilindikatoren zusammengesetzten Strukturschwächeindikators und eines von der Europäischen Union festgelegten Anteils der in Fördergebieten lebenden Bevölkerung. Verantwortlich für die Auswahl der geförderten Projekte ist das jeweilige Land, in dem das GRW-Projekt beantragt wird.
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To Securitise or to Price Credit Default Risk?
Huyen Nguyen, Danny McGowan
IWH-Diskussionspapiere,
Nr. 10,
2020
Abstract
We evaluate if lenders price or securitise mortgages to mitigate credit risk. Exploiting exogenous variation in regional credit risk created by differences in foreclosure law along US state borders, we find that financial institutions respond to the law in heterogeneous ways. In the agency market where Government Sponsored Enterprises (GSEs) provide implicit loan guarantees, lenders transfer credit risk using securitisation and do not price credit risk into mortgage contracts. In the non-agency market, where there is no such guarantee, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate about the design of loan guarantees, the common interest rate policy, and show that underpricing regional credit risk leads to an increase in the GSEs‘ debt holdings by $79.5 billion per annum, exposing taxpayers to preventable losses in the housing market.
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Zu den betrieblichen Effekten der Investitionsförderung im Rahmen der deutschen Regionalpolitik
Matthias Brachert, Eva Dettmann, Mirko Titze
Wirtschaft im Wandel,
Nr. 1,
2020
Abstract
Die Wirtschaft in den Industrieländern unterliegt einem ständigen Anpassungsdruck. Wichtige aktuelle Treiber des Strukturwandels sind vor allem die Globalisierung, der technologische Fortschritt (insbesondere durch Digitalisierung und Automatisierung), die Demographie (durch Alterung und Schrumpfung der Bevölkerung) und der Klimawandel. Von diesem Anpassungsdruck sind jedoch die Regionen in Deutschland sehr unterschiedlich betroffen. Regionalpolitik verfolgt das Ziel, Regionen bei der Bewältigung des Strukturwandels zu unterstützen. Ein besonderer Fokus liegt dabei auf Regionen, die ohnehin durch Strukturschwächen gekennzeichnet sind. Die aktuelle Regionalförderung in Deutschland basiert im Wesentlichen auf der Förderung von Investitionen von Betrieben und Kommunen. Die Evaluierung dieser Programme muss integraler Bestandteil der Regionalpolitik sein – schließlich stellt sich immer die Frage nach einer alternativen Verwendung knapper öffentlicher Mittel. Eine Pilotstudie für Sachsen-Anhalt zeigt, dass die im Rahmen der Regionalpolitik gewährten Investitionszuschüsse einen positiven Effekt auf Beschäftigung und Investitionen der geförderten Betriebe haben; bei den Investitionen allerdings nur für die Dauer des Projekts. Effekte der Förderung auf Umsatz und Produktivität von Betrieben in Sachsen-Anhalt waren nicht nachweisbar.
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Employment Effects of Introducing a Minimum Wage: The Case of Germany
Oliver Holtemöller, Felix Pohle
Economic Modelling,
Nr. 7,
2020
Abstract
Income inequality has been a major concern of economic policy makers for several years. Can minimum wages help to mitigate inequality? In 2015, the German government introduced a nationwide statutory minimum wage to reduce income inequality by improving the labour income of low-wage employees. However, the employment effects of wage increases depend on time and region specific conditions and, hence, they cannot be known in advance. Because negative employment effects may offset the income gains for low-wage employees, it is important to evaluate minimum-wage policies empirically. We estimate the employment effects of the German minimum-wage introduction using panel regressions on the state-industry-level. We find a robust negative effect of the minimum wage on marginal and a robust positive effect on regular employment. In terms of the number of jobs, our results imply a negative overall effect. Hence, low-wage employees who are still employed are better off at the expense of those who have lost their jobs due to the minimum wage.
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Should Forecasters Use Real‐time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
German Economic Review,
Nr. 4,
2019
Abstract
In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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College Choice, Selection, and Allocation Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Quantitative Economics,
Nr. 3,
2019
Abstract
We use rich microeconomic data on performance and choices of students at college entry to analyze interactions between the selection mechanism, eliciting college preferences through exams, and the allocation mechanism. We set up a framework in which success probabilities and student preferences are shown to be identified from data on their choices and their exam grades under exclusion restrictions and support conditions. The counterfactuals we consider balance the severity of congestion and the quality of the match between schools and students. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students and among schools is also sizeable in all counterfactual experiments.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
IWH-Diskussionspapiere,
Nr. 2,
2019
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations
Christiane Baumeister, James D. Hamilton
Journal of Monetary Economics,
2018
Abstract
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates.
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