14.09.2021 • 23/2021
Production bottlenecks delay recovery
The German recovery made good progress over the summer 2021. However, bottlenecks in sea transport and the production of intermediate goods are weighing on world trade. The rise in raw material prices has prompted inflation rates to spike, and an increase in new infections is clouding the outlook again. A weak final quarter is therefore to be expected. The Halle Institute for Economic Research (IWH) forecasts that German gross domestic product (GDP) will increase by 2.2% in 2021 and 3.6% in 2022 (East Germany: 1.8% and 2.8%).
Oliver Holtemöller
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Stock Price Fragility and the Cost of Bank Loans
Bill Francis, Iftekhar Hasan, Yinjie (Victor) Shen, Pengfei Ye
Journal of Empirical Finance,
September
2021
Abstract
This study examines whether the flow volatility experienced by institutional investors affects firms’ financing costs. Using Greenwood and Thesmar’s (2011) stock price fragility measure, we find that there is a positive relationship between fragility and firms’ costs of bank loans. This effect is most pronounced when lenders rely more on institutional shareholders to discipline corporate management, or when loans are made by relationship lenders, suggesting that unstable flows could weaken institutional investors’ monitoring effectiveness and strengthen relationship banks’ bargaining power.
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Conditional Macroeconomic Forecasts: Disagreement, Revisions and Forecast Errors
Alexander Glas, Katja Heinisch
IWH Discussion Papers,
No. 7,
2021
Abstract
Using data from the European Central Bank‘s Survey of Professional Forecasters, we analyse the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP growth and the unemployment rate are related to assumptions about future oil prices, exchange rates, interest rates and wage growth. Our findings indicate that inflation forecasts are closely associated with oil price expectations, whereas expected interest rates are used primarily to predict output growth and unemployment. Expectations about exchange rates and wage growth also matter for macroeconomic forecasts, albeit less so than oil prices and interest rates. We show that survey participants can considerably improve forecast accuracy for macroeconomic outcomes by reducing prediction errors for external conditions. Our results contribute to a better understanding of the expectation formation process of experts.
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The Effect of Language on Investing: Evidence from Searches in Chinese Versus English
Hui-Ching Chuang, Iftekhar Hasan, Yin-Siang Huang, Chih-Yung Lin
Pacific-Basin Finance Journal,
June
2021
Abstract
This study examines the language effect on investing behavior in local stock markets for local- and foreign-language investors using Google search records. First, we find that attention to a local language stimulates attention to a foreign language, increases abnormal news coverage, and has better predictability on stock returns. Second, investors who do Google searches in the local language react faster to a news event's shock than those who search in the foreign language. Third, only attention to the local language can reduce the price drift of an earnings surprise. Last, firm-level information asymmetry is a channel for local advantage. Therefore, we suggest that investors who use a stock market's local language have a local advantage when seeking more profitable investment opportunities in that stock market.
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Are Credit Rating Disagreements Priced in the M&A Market?
Iftekhar Hasan, He Huang, Thomas To
Journal of International Financial Markets, Institutions and Money,
May
2021
Abstract
This paper examines the effect of credit rating disagreements on merger and acquisition (M&A) decisions. We show that acquirers with split ratings prefer to use stock to finance their acquisitions. More importantly, we find that acquirers with split ratings experience lower announcement returns. Further analysis shows that overpayment by acquirers with split ratings is concentrated in acquirers with entrenched managers. Our results are robust to alternative identification strategies. Overall, our evidence indicates that credit rating disagreements are heavily priced in the M&A market.
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Loan Syndication under Basel II: How Do Firm Credit Ratings Affect the Cost of Credit?
Iftekhar Hasan, Suk-Joong Kim, Panagiotis Politsidis, Eliza Wu
Journal of International Financial Markets, Institutions and Money,
May
2021
Abstract
This paper investigates how syndicated lenders react to borrowers’ rating changes under heterogeneous conditions and different regulatory regimes. Our findings suggest that corporate downgrades that increase capital requirements for lending banks under the Basel II framework are associated with increased loan spreads and deteriorating non-price loan terms relative to downgrades that do not affect capital requirements. Ratings exert an asymmetric impact on loan spreads, as these remain unresponsive to rating upgrades, even when the latter are associated with a reduction in risk weights for corporate loans. The increase in firm borrowing costs is mitigated in the presence of previous bank-firm lending relationships and for borrowers with relatively strong performance, high cash flows and low leverage.
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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The State Expropriation Risk and the Pricing of Foreign Earnings
Iftekhar Hasan, Ibrahim Siraj, Amine Tarazi, Qiang Wu
Journal of International Accounting Research,
No. 2,
2021
Abstract
We examine the pricing of U.S. multinational firms' foreign earnings in regard to their risk of expropriation and unfair treatment by the governments of the countries in which their international subsidiaries are located. Using 8,891 firm-years observations during the 2001–2013 period, we find that the value relevance of foreign earnings increases with the improvement of the protection from state expropriation risk in the subsidiary host-countries. Our results are not driven by the earnings management practice, investor distraction, country informativeness, and political and trade relationship of a foreign country with the U.S. Furthermore, our results are robust to the confounding effects of country factors, measurement error in the variable of the risk of expropriation, the influence of private contracting institutions, and endogeneity in the decision of the location of subsidiaries.
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