Trade Shocks, Labour Markets and Elections in the First Globalisation
Richard Bräuer, Wolf-Fabian Hungerland, Felix Kersting
Abstract
This paper studies the economic and political effects of a large trade shock in agriculture – the grain invasion from the Americas – in Prussia during the first globalisation (1871-1913). We show that this shock accelerated the structural change in the Prussian economy through migration of workers to booming cities. In contrast to studies using today’s data, we do not observe declining per capita income and political polarisation in counties affected by foreign competition. Our results suggest that the negative and persistent effects of trade shocks we see today are not a universal feature of globalisation, but depend on labour mobility. For our analysis, we digitise data from Prussian industrial and agricultural censuses on the county level and combine it with national trade data at the product level. We exploit the cross-regional variation in cultivated crops within Prussia and instrument with Italian trade data to isolate exogenous variation.
Read article
Political Ties and the Yield Curve
Gene Ambrocio, Iftekhar Hasan
Economics Letters,
July
2023
Abstract
We examine the effect of political ties with the US on sovereign yields and ratings at various horizons. We find beneficial effects across both short- and long-term yields and ratings. Specifically, we find that stronger political ties with the US affect mainly the level of the yield curve of foreign sovereign bonds. These results imply that the market perceives political ties with the US as having both near- and long-term beneficial consequences.
Read article
The Impact of Lowering Carbon Emissions on Corporate Labour Investment: A Quasi-Natural Experiment
June Cao, Iftekhar Hasan, Wenwen Li
Energy Economics,
May
2023
Abstract
We examine the impact of low-carbon city (LCC) initiatives on labour investment decisions (quantity, quality, and well-being). Using a time-varying difference-in-differences approach based on staggered implementations of such a pilot program, we report an inefficient outcome - absolute deviation of labour investment from the optimal net hiring – especially for firms in labour-intensive industries and firms with high financial slack or adjustment costs. We, however, observe increased investments in highly skilled personnel and compensated with employee stock ownership, especially by firms under intense pressure to reduce carbon emissions. Such initiatives are also closely associated with the significant enhancement of workplace safety. Overall, LCC helps to upgrade the corporate labour structure by hiring more skilled employees through reduced agency problems and heightened green innovation.
Read article
Herding Behavior and Systemic Risk in Global Stock Markets
Iftekhar Hasan, Radu Tunaru, Davide Vioto
Journal of Empirical Finance,
September
2023
Abstract
This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.
Read article
Ownership Structure and the Cost of Debt: Evidence From the Chinese Corporate Bond Market
Sris Chatterjee, Xian Gu, Iftekhar Hasan, Haitian Lu
Journal of Empirical Finance,
September
2023
Abstract
Drawing upon evidence from the Chinese corporate bond market, we study how ownership structure affects the cost of debt for firms. Our results show that state, institutional and foreign ownership formats reduce the cost of debt for firms. The benefits of state ownership are accentuated when the issuer is headquartered in a province with highly developed market institutions, operates in an industry less dominated by the state or during the period after the 2012 anti-corruption reforms. Institutional ownership provides the most benefits in environments with lower levels of marketization, especially for firms with low credit quality. Our evidence sheds light on the nexus of ownership and debt cost in a political economy where state-owned enterprises (SOEs) and non-SOEs face productivity and credit frictions. It is also illustrative of how the market environment interacts with corporate ownership in affecting the cost of bond issuance.
Read article
Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
No. 3,
2023
Abstract
This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.
Read article
Aktuelle Trends: Insolvenzanträge als Frühindikator für den IWH-Insolvenztrend
Steffen Müller
Wirtschaft im Wandel,
No. 3,
2023
Abstract
Insolvenzanträge werden vom Schuldner oder Gläubiger beim Insolvenzgericht gestellt. Es vergehen in der Regel mehrere Monate, bis Gerichte entscheiden, ob der Antrag zulässig ist. Der IWH-Insolvenztrend erfasst genau wie die amtliche Statistik erst dann Insolvenzfälle, wenn ein Insolvenzgericht eine formale Eröffnungsentscheidung – also entweder die Eröffnung des Verfahrens oder eine Abweisung mangels Masse – zum jeweiligen Insolvenzverfahren gefällt hat. Das bedeutet, dass im entsprechenden Berichtsmonat in der Regel nicht der Insolvenzantrag gestellt, sondern erstmalig über ihn entschieden wurde.
Read article
Bank Recapitalization, Regulatory Intervention, and Repayment
Thomas Kick, Michael Koetter, Tigran Poghosyan
Journal of Money, Credit and Banking,
No. 7,
2016
Abstract
We use prudential supervisory data for all German banks during 1994–2010 to test if regulatory interventions affect the likelihood that bailed-out banks repay capital support. Accounting for the selection bias inherent in nonrandom bank bailouts by insurance schemes and the endogenous administration of regulatory interventions, we show that regulators can increase the likelihood of repayment substantially. An increase in intervention frequencies by one standard deviation increases the annual probability of capital support repayment by 7%. Sturdy interventions, like restructuring orders, are effective, whereas weak measures reduce repayment probabilities. Intervention effects last up to 5 years.
Read article
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.
Read article
