Financial Constraints of Private Firms and Bank Lending Behavior
Patrick Behr, L. Norden, Felix Noth
Journal of Banking and Finance,
No. 9,
2013
Abstract
We investigate whether and how financial constraints of private firms depend on bank lending behavior. Bank lending behavior, especially its scale, scope and timing, is largely driven by bank business models which differ between privately owned and state-owned banks. Using a unique dataset on private small and medium-sized enterprises (SMEs) we find that an increase in relative borrowings from local state-owned banks significantly reduces firms’ financial constraints, while there is no such effect for privately owned banks. Improved credit availability and private information production are the main channels that explain our result. We also show that the lending behavior of local state-owned banks can be sustainable because it is less cyclical and neither leads to more risk taking nor underperformance.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-Selection and Competition
Reint E. Gropp, C. Gruendl, Andre Guettler
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a private signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their privately observed soft information is positive or negative. Competition affects the investment in learning the private signal from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect. Finally, we show that firms where soft information was important in the lending decision were no more likely to default compared to firms where only financial information was used.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance,
No. 35,
2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
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Initial Evidence from a New Database on Capital Market Restrictions
Makram El-Shagi
Panoeconomicus,
No. 3,
2012
Abstract
One of the key obstacles to the empirical analysis of capital controls has been the unavailability of a detailed set of indicators for controls that cover a broad set of countries over a range of years. In this paper, we propose a new set of indicators derived from the Annual Reports on Exchange Arrangements and Export Restrictions. Contrary to most earlier attempts to construct control indicators from this source, our set of indices allows one to analyze the control intensity separately for inflow, outflow and repatriation controls. An additional set of indicators features information on the institutional design of controls. At first glance, the data show that the financial crisis caused a surge in capital market restrictions, most notably concerning the derivatives market. This reflex, which is not justified by the scarce empirical evidence on the success of controls, shows the importance of having a valid measure to allow an econometrically sound policy evaluation in this field. The data are available from the author upon request.
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The Impact of Firm and Industry Characteristics on Small Firms’ Capital Structure
Hans Degryse, Peter de Goeij, Peter Kappert
Small Business Economics,
No. 4,
2012
Abstract
We study the impact of firm and industry characteristics on small firms’ capital structure, employing a proprietary database containing financial statements of Dutch small and medium-sized enterprises (SMEs) from 2003 to 2005. The firm characteristics suggest that the capital structure decision is consistent with the pecking-order theory: Dutch SMEs use profits to reduce their debt level, and growing firms increase their debt position since they need more funds. We further document that profits reduce in particular short-term debt, whereas growth increases long-term debt. We also find that inter- and intra-industry effects are important in explaining small firms’ capital structure. Industries exhibit different average debt levels, which is in line with the trade-off theory. Furthermore, there is substantial intra-industry heterogeneity, showing that the degree of industry competition, the degree of agency conflicts, and the heterogeneity in employed technology are also important drivers of capital structure.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
No. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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What Drives FDI in Central-eastern Europe? Evidence from the IWH-FDI-Micro Database
Andrea Gauselmann, Mark Knell, Johannes Stephan
Post-Communist Economies,
No. 3,
2011
Abstract
The focus of this paper is on the match between strategic motives of foreign investments into Central-Eastern Europe and locational advantages offered by these countries. Our analysis makes use of the IWH-FDI-Micro Database, a unique dataset that contains information from 2009 about the determinants of locational factors, technological activity of the subsidiaries, and the potentials for knowledge spillovers in the Czech Republic, Hungary, Poland, Romania, and Slovakia. The analysis suggests that investors in these countries are mainly interested in low (unit) labour costs coupled with a well-trained and educated workforce and an expanding market with the high growth rates in the purchasing power of potential buyers. It also suggests that the financial crisis reduced the attractiveness of the region as a source for localised knowledge and technology. There appears to be a match between investors’ expectations and the quantitative supply of unqualified labour, not however for the supply of medium qualified workers. But the analysis suggests that it is not technology-seeking investments that are particularly content with the capabilities of their host economies in terms of technological cooperation. Finally, technological cooperation within the local host economy is assessed more favourably with domestic firms than with local scientific institutions – an important message for domestic economic policy.
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