LRF Research Profile
Research Profile of the Department of Laws, Regulations and Factor Markets The Department of Laws, Regulations and Factor Markets conducts research on the interaction of labour…
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Insights for Young Researchers in Finance
FYI – Insights for Young Researchers in Finance The Insights for Young Researchers in Finance (FYI) inform junior researchers (PhDs, post-docs, and assistant professors) in…
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IWH-DPE
IWH-DPE PhD Courses Doctoral Student Guide DPE Handout DPE Q&A Mental Health Job Market Guide and Advice IWH Research Scholarship Agreement Supervision Agreement for Dissertations…
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Brown Bag Seminar
Brown Bag Seminar Financial Markets Department In der Seminarreihe "Brown Bag Seminar" stellten Mitarbeiterinnen und Mitarbeiter der Abteilung Finanzmärkte und deren…
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Speed Projects
Speed Projects Hier finden Sie die IWH EXplore Speed Projects chronologisch absteigend sortiert. 2022 2021 2020 2019 2018 2017 2016 2015 2014 2022 SPEED 2022/02 Competetiveness in…
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Projekte
Unsere Projekte 07.2022 ‐ 12.2026 Evaluierung des InvKG und des Bundesprogrammes STARK Bundesministerium für Wirtschaft und Klimaschutz (BMWK) Im Auftrag des Bundesministeriums…
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Standards
Achieving Scientific Quality and Meeting Social Standards In order to secure the highest standards, the courses and the research projects will be evaluated. Evaluations form the…
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Mentoring Helps Highly Disadvantaged Adolescents
Sven Resnjanskij, Jens Ruhose, Katharina Wedel, Simon Wiederhold, Ludger Woessmann
IEB Report "Education Policy: Quality and Equality of Opportunity",
2023
Abstract
In this report, we discuss the results of our randomized controlled trial (RCT) of a nationwide mentoring program designed to improve the labor-market prospects of disadvantaged adolescents in Germany (Resnjanskij et al., 2023). The study is motivated by the high persistence of inequality across generations present even in countries with comprehensive social welfare systems (Alvaredo et al., 2018). In particular, the school-to-work transition is a decisive moment that determines the differences in later labor-market outcomes of young adolescents.
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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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Uncovering Disaggregated Oil Market Dynamics: A Full-Information Approach to Granular Instrumental Variables
Christiane Baumeister, James D. Hamilton
Working Paper,
2023
Abstract
The world price of oil is determined by the interactions of multiple producers and consumers who face different constraints and shocks. We show how this feature of the oil market can be used to estimate local and global elasticities of supply and demand and provide a rich set of testable restrictions. We develop a novel approach to estimation based on full-information maximum likelihood that generalizes the insights from granular instrumental variables. We conclude that the supply responses of Saudi Arabia and adjustments of inventories have historically played a key role in stabilizing the price of oil. We illustrate how our structural model can be used to analyze how individual producers and consumers would dynamically adapt to a geopolitical event such as a major disruption in the supply of oil from Russia.
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