Climate Stress Tests, Bank Lending, and the Transition to the Carbon-neutral Economy
Larissa Fuchs, Huyen Nguyen, Trang Nguyen, Klaus Schaeck
IWH Discussion Papers,
Nr. 9,
2024
Abstract
Does banking supervision affect borrowers‘ transition to the carbon-neutral economy? We use a unique identification strategy that combines the French bank climate pilot exercise with borrowers‘ carbon emissions to present two novel findings. First, climate stress tests actively facilitate borrowers‘ transition to a low-carbon economy through a lending channel. Stress-tested banks increase loan volumes but simultaneously charge higher interest rates for brown borrowers. Second, additional lending is associated with some improvements in environmental performance. While borrowers commit more to reduce carbon emissions and are more likely to evaluate environmental effects of their projects, they neither reduce direct carbon emissions, nor terminate relationships with environmentally unfriendly suppliers. Our findings establish a causal link between bank climate stress tests and borrowers‘ reductions in transition risk.
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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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Trust, Politics and Post-IPO Performance: SOEs vs. the Private Sector
Bill Francis, Iftekhar Hasan, Xian Sun, Mingming Zhou
Economic and Political Studies,
im Erscheinen
Abstract
This paper empirically investigates the role of social trust in the long-term performance of the initial public offerings (IPOs) in China, controlling for the formal institutional environment. We find that privately owned or smaller IPO firms experience significantly better post-IPO performance when they are incorporated in regions with more social trust. The state-owned and bigger IPO firms, on the other hand, experience better long-term post-IPO performance when they are incorporated in regions with stronger formal institutions (e.g. court enforcement and contract holding). Political pluralism turns out to benefit all IPOs in the long term. In addition, our evidence shows that stronger social trust substitutes for the quality of court enforcement but complements the role of contract holding. These results are robust after controlling for alternative definitions of ownership, outliers, non-linear effects of institutions, and the potential endogeneity of institutions in the model.
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Does IFRS Information on Tax Loss Carryforwards and Negative Performance Improve Predictions of Earnings and Cash Flows?
Sandra Dreher, Sebastian Eichfelder, Felix Noth
Journal of Business Economics,
January
2024
Abstract
We analyze the usefulness of accounting information on tax loss carryforwards and negative performance to predict earnings and cash flows. We use hand-collected information on tax loss carryforwards and corresponding deferred taxes from the International Financial Reporting Standards tax footnotes for listed firms from Germany. Our out-of-sample tests show that considering accounting information on tax loss carryforwards does not enhance performance forecasts and typically even worsens predictions. The most likely explanation is model overfitting. Besides, common forecasting approaches that deal with negative performance are prone to prediction errors. We provide a simple empirical specification to account for that problem.
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Conditional Macroeconomic Survey Forecasts: Revisions and Errors
Alexander Glas, Katja Heinisch
Journal of International Money and Finance,
November
2023
Abstract
Using data from the European Central Bank's Survey of Professional Forecasters and ECB/Eurosystem staff projections, we analyze the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the updating and ex-post performance of predictions for inflation, real GDP growth and unemployment are related to beliefs about future oil prices, exchange rates, interest rates and wage growth. While oil price and exchange rate predictions are updated more frequently than macroeconomic forecasts, the opposite is true for interest rate and wage growth expectations. Beliefs about future inflation are closely associated with oil price expectations, whereas expected interest rates are related to predictions of output growth and unemployment. Exchange rate predictions also matter for macroeconomic forecasts, albeit less so than the other variables. With regard to forecast errors, wage growth and GDP growth closely comove, but only during the period when interest rates are at the effective zero lower bound.
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Climate Stress Tests, Bank Lending, and the Transition to the Carbon-Neutral Economy
Larissa Fuchs, Huyen Nguyen, Trang Nguyen, Klaus Schaeck
SSRN Working Papers,
Nr. 4427729,
2023
Abstract
Does banking supervision affect borrowers’ transition to the carbon-neutral economy? We use a unique identification strategy that combines the French bank climate pilot exercise with borrowers’ carbon emissions to present two novel findings. First, climate stress tests actively facilitate borrowers’ transition to a low-carbon economy through a lending channel. Stress-tested banks increase loan volumes but simultaneously charge higher interest rates for brown borrowers. Second, additional lending is associated with some improvements in environmental performance. While borrowers commit more to reduce carbon emissions and are more likely to evaluate environmental effects of their projects, they neither reduce direct carbon emissions, nor terminate relationships with environmentally unfriendly suppliers. Our findings establish a causal link between bank climate stress tests and borrowers’ reductions in transition risk.
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Compensation Regulation in Banking: Executive Director Behavior and Bank Performance after the EU Bonus Cap
Stefano Colonnello, Michael Koetter, Konstantin Wagner
Journal of Accounting and Economics,
Nr. 1,
2023
Abstract
The regulation that caps executives’ variable compensation, as part of the Capital Requirements Directive IV of 2013, likely affected executive turnover, compensation design, and risk-taking in EU banking. The current study identifies significantly higher average turnover rates but also finds that they are driven by CEOs at poorly performing banks. Banks indemnified their executives by off-setting the bonus cap with higher fixed compensation. Although our evidence is only suggestive, we do not find any reduction in risk-taking at the bank level, one purported aim of the regulation.
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Preferred Field of Study and Academic Performance
Francesco Berlingieri, André Diegmann, Maresa Sprietsma
Economics of Education Review,
August
2023
Abstract
This paper investigates the impact of studying the first-choice university subject on dropout and switching field of study for a cohort of students in Germany. Using detailed survey data, and employing an instrumental variable strategy based on variation in the local field of study availability, we provide evidence that students who are not enrolled in their preferred field of study are more likely to change their field, delay graduation and drop out of university. The estimated impact on dropout is particularly strong among students of low socio-economic status and is likely to be driven by lower effort and motivation.
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Exposure to Conflict, Migrations and Long-run Education and Income Inequality: Evidence from Bosnia and Herzegovina
Adnan Efendic, Dejan Kovač, Jacob N. Shapiro
Defence and Peace Economics,
Nr. 8,
2023
Abstract
We investigate the long-term relationship between conflict-related migration and individual socioeconomic inequality. Looking at the post-conflict environment of Bosnia and Herzegovina (BiH), a former Yugoslav state most heavily impacted by the wars of the early 1990s, the paper focuses on differences in educational performance and income between four groups: migrants, internally displaced persons, former external migrants, and those who did not move. The analysis leverages a municipality-representative survey (n ≈ 6,000) that captured self-reported education and income outcomes as well as migration histories. We find that individuals with greater exposure to conflict had systematically worse educational performance and lower earnings two decades after the war. Former external migrants now living in BiH have better educational and economic outcomes than those who did not migrate, but these advantages are smaller for external migrants who were forced to move. We recommend that policies intended to address migration-related discrepancies should be targeted on the basis of individual and family experiences caused by conflict.
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Market-implied Ratings and Their Divergence from Credit Ratings
Iftekhar Hasan, Winnie P. H. Poon, Jianfu Shen, Gaiyan Zhang
Journal of Financial Research,
Nr. 2,
2023
Abstract
In this article, we investigate the divergence between credit ratings (CRs) and Moody's market-implied ratings (MIRs). Our evidence shows that rating gaps provide incremental information to the market regarding issuers' default risk over CRs alone in the short horizon and outperform CRs over extended horizons. The predictive ability of rating gaps is greater for more opaque and volatile issuers. Such predictability was more pronounced during the 2008 financial crisis but weakened in the post-Dodd-Frank Act period. This finding is consistent with credit rating agencies' efforts to improve their performance when facing regulatory pressure. Moreover, our analysis identifies rating-gap signals that do (do not) lead to subsequent Moody's actions to place issuers on negative outlook and watchlists. We find that negative signals from MIR gaps have a real economic impact on issuers' fundamentals such as profitability, leverage, investment, and default risk, thus supporting the recovery-efforts hypothesis.
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