Comment on “Optimal monetary policy in an estimated SIR model by G. Benmir, I. Jaccard, and G. Vermandel”
Mathias Trabandt
European Economic Review,
September
2023
Abstract
Benmir, Jaccard, and Vermandel (2023, BJV) seek to answer the following set of topical and important research questions: (i) How should monetary policy be conducted during a pandemic?, (ii) How do health considerations affect the conduct of monetary policy?, and (iii) How does the presence of contagion risk affect the main building blocks of the New Keynesian model?
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Disentangling Stock Return Synchronicity From the Auditor's Perspective
Iftekhar Hasan, Joseph A. Micale, Qiang Wu
Journal of Business Finance and Accounting,
Nr. 5,
2024
Abstract
This paper investigates a firm's stock return asynchronicity through the auditor's perspective to distinguish whether this asynchronicity can proxy for the company's firm-specific information or the quality of its information environment. We find a significant and positive association between asynchronicity and audit fees after controlling for auditor quality and other factors that affect audit fees, suggesting that stock return asynchronicity is more likely to capture a company's firm-specific information than its information environment. We also find that asynchronous firms are more likely to receive adverse opinions on their internal controls over financial reporting, but are associated with lower costs of capital and auditor litigation, providing further evidence in support of the firm-specific information argument. Asynchronicity's positive association with audit fees is driven by firms with higher accounting reporting complexity, suggesting stock return asynchronicity captures a firm's complexity, resulting in more significant efforts by the auditor.
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Creditor-control Rights and the Nonsynchronicity of Global CDS Markets
Iftekhar Hasan, Miriam Marra, Eliza Wu, Gaiyan Zhang
Review of Corporate Finance Studies,
Nr. 1,
2025
Abstract
We analyze how creditor rights affect the nonsynchronicity of global corporate credit default swap spreads (CDS-NS). CDS-NS is negatively related to the country-level creditor-control rights, especially to the “restrictions on reorganization” component, where creditor-shareholder conflicts are high. The effect is concentrated in firms with high investment intensity, asset growth, information opacity, and risk. Pro-creditor bankruptcy reforms led to a decline in CDS-NS, indicating lower firm-specific idiosyncratic information being priced in credit markets. A strategic-disclosure incentive among debtors avoiding creditor intervention seems more dominant than the disciplining effect, suggesting how strengthening creditor rights affects power rebalancing between creditors and shareholders.
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Step by Step ‒ A Quarterly Evaluation of EU Commission's GDP Forecasts
Katja Heinisch
Journal of Forecasting,
im Erscheinen
Abstract
The European Commission’s growth forecasts play a crucial role in shaping policies and provide a benchmark for many (national) forecasters. The annual forecasts are built on quarterly estimates, which do not receive much attention and are hardly known. Therefore, this paper provides a comprehensive analysis of multi-period ahead quarterly GDP growth forecasts for the European Union (EU), euro area, and several EU member states with respect to first-release and current-release data. Forecast revisions and forecast errors are analyzed, and the results show that the forecasts are not systematically biased. However, GDP forecasts for several member states tend to be overestimated at short-time horizons. Furthermore, the final forecast revision in the current quarter is generally downward biased for almost all countries. Overall, the differences in mean forecast errors are minor when using real-time data or pseudo-real-time data and these differences do not significantly impact the overall assessment of the forecasts’ quality. Additionally, the forecast performance varies across countries, with smaller countries and Central and Eastern European countries (CEECs) experiencing larger forecast errors. The paper provides evidence that there is still potential for improvement in forecasting techniques both for nowcasts but also forecasts up to eight quarters ahead. In the latter case, the performance of the mean forecast tends to be superior for many countries.
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Understanding CSR Champions: A Machine Learning Approach
Alona Bilokha, Mingying Cheng, Mengchuan Fu, Iftekhar Hasan
Annals of Operations Research,
im Erscheinen
Abstract
In this paper, we study champions of corporate social responsibility (CSR) performance among the U.S. publicly traded firms and their common characteristics by utilizing machine learning algorithms to identify predictors of firms’ CSR activity. We contribute to the CSR and leadership determinants literature by introducing the first comprehensive framework for analyzing the factors associated with corporate engagement with socially responsible behaviors by grouping all relevant predictors into four broad categories: corporate governance, managerial incentives, leadership, and firm characteristics. We find that strong corporate governance characteristics, as manifested in board member heterogeneity and managerial incentives, are the top predictors of CSR performance. Our results suggest policy implications for providing incentives and fostering characteristics conducive to firms “doing good.”
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