Political Ties and Raising Capital in Global Markets: Evidence from Yankee Bonds
Gene Ambrocio, Xian Gu, Iftekhar Hasan
Journal of Corporate Finance,
June
2022
Abstract
This paper examines whether state-to-state political ties help firms obtain better terms when raising funds in global capital markets. Focusing on the Yankee bonds market, we find that issuances by firms from countries with close political ties with the US feature lower yield spreads, higher issuance amounts, and longer maturities. Such an association is more pronounced for firms located in low income and highly indebted countries as well as firms in government-related industries, first-time issuers, and relatively smaller firms. Our study provides evidence supporting the notion that country-level political relationship is an important factor when raising capital in international markets.
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Bank Market Power and Loan Contracts: Empirical Evidence
Iftekhar Hasan, Liuling Liu, Haizhi Wang, Xinting Zhen
Economic Notes,
forthcoming
Abstract
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.
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Should Banks Diversify or Focus? Know Thyself: The Role of Abilities
Bill Francis, Iftekhar Hasan, A. Melih Küllü, Mingming Zhou
Economic Systems,
No. 1,
2018
Abstract
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.
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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.
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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.
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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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Predicting Earnings and Cash Flows: The Information Content of Losses and Tax Loss Carryforwards
Sandra Dreher, Sebastian Eichfelder, Felix Noth
Abstract
We analyse the relevance of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards and deferred taxes from the tax footnote. Our out-of-sample predictions show that considering accounting information on tax loss carryforwards and deferred taxes does not enhance the accuracy of performance forecasts and can even worsen performance predictions. We find that common forecasting approaches that treat positive and negative performances equally or that use a dummy variable for negative performance can lead to biased performance forecasts, and we provide a simple empirical specification to account for that issue.
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Financial Transaction Taxes: Announcement Effects, Short-run Effects, and Long-run Effects
Sebastian Eichfelder, Mona Noack, Felix Noth
Abstract
We analyze the impact of the French 2012 financial transaction tax (FTT) on trading volumes, stock prices, liquidity, and volatility. We extend the empirical research by identifying FTT announcement and short-run treatment effects, which can distort difference-in-differences estimates. In addition, we consider long-run volatility measures that better fit the French FTT’s legislative design. While we find strong evidence of a positive FTT announcement effect on trading volumes, there is almost no statistically significant evidence of a long-run treatment effect. Thus, evidence of a strong reduction of trading volumes resulting from the French FTT might be driven by announcement effects and short-term treatment effects. We find evidence of an increase of intraday volatilities in the announcement period and a significant reduction of weekly and monthly volatilities in the treatment period. Our findings support theoretical considerations suggesting a stabilizing impact of FTTs on financial markets.
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Real Estate Transaction Taxes and Credit Supply
Michael Koetter, Philipp Marek, Antonios Mavropoulos
Deutsche Bundesbank Discussion Paper,
No. 4,
2021
Abstract
We exploit staggered real estate transaction tax (RETT) hikes across German states to identify the eff ect of house price changes on mortgage credit supply. Based on approximately 33 million real estate online listings, we construct a quarterly hedonic house price index (HPI) between 2008:q1 and 2017:q4, which we instrument with state-speci c RETT changes to isolate the e ffect on mortgage credit supply by all local German banks. First, a RETT hike by one percentage point reduces HPI by 1.2%. This e ffect is driven by listings in rural regions. Second, a 1% contraction of HPI induced by an increase in the RETT leads to a 1.4% decline in mortgage lending. This transmission of fiscal policy to mortgage credit supply is eff ective across almost the entire bank capitalization distribution.
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