IWH Flash Indicator
IWH Flash Indicator The IWH Flash Indicator is a forecasting tool which provides early information on economic development. While the German Federal Statistical Office publishes…
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Ludwig (Interview)
About the CIA and a glass of red wine ... Professor Dr Udo Ludwig on the beginnings of our institute The core of the IWH founding team came from the Institute for Applied Economic…
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Speed Projects
Speed Projects On this page, you will find the IWH EXplore Speed Projects in chronologically descending order. 2021 2020 2019 2018 2017 2016 2015 2014 2021 SPEED 2021/01…
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Imprint
Imprint and Disclaimer Imprint Institution and Address Halle Institute for Economic Research – Member of the Leibniz Association Kleine Märkerstraße 8 D-06108 Halle (Saale),…
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Projects
Our Projects 07.2022 ‐ 12.2026 Evaluation of the InvKG and the federal STARK programme On behalf of the Federal Ministry of Economics and Climate Protection, the IWH and the RWI…
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Transfer strategy
IWH-Transfer Strategy IWH-Transfer Strategy (PDF, 230 kB) In accordance with its statutes, the IWH pursues an intensive bilateral knowledge transfer on the basis of excellent…
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Logo and Colours
IWH Logo and IWH Colours 1. Logo 1.1 Combined Word Picture Mark 1.2 Reduced Versions 1.2.1 Signet 1.2.2 Horizontal Versions 1.2.3 Negative Versions 2. IWH Colours 1. Logo 1.1…
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IWH Discussion Papers
Submission and Revision of IWH Discussion Papers Please submit your paper for publication in the IWH Discussion Paper series to Stefanie Müller-Dreißigacker (…
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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,
Vol. 46 (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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