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.

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.

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.

This study analyzes if regionally affiliated Federal Open Market Committee (FOMC) members take their districts’ regional banking sector instability into account when they vote. Considering the period 1979–2010, we find that a deterioration in a district's bank health increases the probability that this district's representative in the FOMC votes to ease interest rates. According to member-specific characteristics, the effect of regional banking sector instability on FOMC voting behavior is most pronounced for Bank presidents (as opposed to Governors) and FOMC members who have career backgrounds in the financial industry or who represent a district with a large banking sector.

Do prior lending relationships result in pass‐through savings (lower interest rates) for borrowers, or do they lock in higher costs for borrowers? Theoretical models suggest that when borrowers experience greater information asymmetry, higher switching costs, and limited access to capital markets, they become locked into higher costs from their existing lenders. Firms in Chapter 11 seeking debtor‐in‐possession (DIP) financing often fit this profile. We investigate the presence of lock‐in effects using a sample of 348 DIP loans. We account for endogeneity using the instrument variable (IV) approach and the Heckman selection model and find consistent evidence that prior lending relationship is associated with higher interest costs and the effect is more severe for stronger existing relationships. Our study provides direct evidence that prior lending relationships do create a lock‐in effect under certain circumstances, such as DIP financing.

This paper examines the effects of bank alliance network on bonds issued by European banks during the period 1990–2009. We construct six measures capturing different dimensions of banks’ network characteristics. In opposition to the results obtained for non-financial firms, our findings indicate that being part of a network does not create value for bank’s bondholders, indicating a dark side effect of strategic alliances in the banking sector. While being part of a network is perceived as a risk-increasing event by market participants, this negative perception is significantly lower for the larger banks, and, to a lesser extent, for the more profitable banks. Moreover, during crisis times, the positive impact on bond spread of a bank’s higher centrality or of a bank’s higher connectedness in the network is stronger, indicating that market participants may fear spillover effects within the network during periods of banks’ heightened financial fragility.

Using a sample of syndicated loan facilities granted to US corporate borrowers from 1987 to 2013, we directly gauge the lead banks’ market power, and test its effects on both price and non‐price terms in loan contracts. We find that bank market power is positively correlated with loan spreads, and the positive relation holds for both non‐relationship loans and relationship loans. In particular, we report that, for relationship loans, lending banks charge lower loan price for borrowing firms with lower switching cost. We further employ a framework accommodating the joint determination of loan contractual terms, and document that the lead banks’ market power is positively correlated with collateral and negatively correlated with loan maturity. In addition, we report a significant and negative relationship between banking power and the number of covenants in loan contracts, and the negative relationship is stronger for relationship loans.

The paper investigates whether diversification/focus across assets, industries and borrowers affects bank performance when banks’ abilities (screening and monitoring) are considered. The initial results show that diversification (focus) at the asset, industry and borrower levels is expected to decrease (increase) returns. However, once banks’ screening and monitoring abilities are controlled for, the effect of diversification/focus either gets weaker or disappears. Further, in some cases, these abilities enhance banks’ long-run performance, but in others they prove to be costly, at least, in the short run. Thus, the level of monitoring and screening abilities should be taken into consideration in understanding, planning and implementing diversification/focus strategies.

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.

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.