Efficiency in the UK Commercial Property Market: A Long-run Perspective
Steven Devaney, Oliver Holtemöller, R. Schulz
IWH Discussion Papers,
No. 15,
2012
Abstract
Informationally efficient prices are a necessary requirement for optimal resource allocation in the real estate market. Prices are informationally efficient if they reflect buildings’ benefit to marginal buyers, thereby taking account of all available information on future market development. Prices that do not reflect available information may lead to over- or undersupply if developers react to these inefficient prices. In this study, we examine the efficiency of the UK commercial property market and the interaction between prices, construction costs, and new supply. We collated a unique data set covering the years 1920 onwards, which we employ in our study. First, we assess if real estate prices were in accordance with present values, thereby testing for informational efficiency. By comparing prices and estimated present values, we can measure informational inefficiency. Second, we assess if developers reacted correctly to price signals. Development (or the lack thereof) should be triggered by deviations between present values and cost; if prices do not reflect present values, then they should have no impact on development decisions.
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Corporate Boards and Bank Loan Contracting
Bill Francis, Iftekhar Hasan, Michael Koetter, Qiang Wu
Journal of Financial Research,
No. 4,
2012
Abstract
We investigate the role of corporate boards in bank loan contracting. We find that when corporate boards are more independent, both price and nonprice loan terms (e.g., interest rates, collateral, covenants, and performance-pricing provisions) are more favorable, and syndicated loans comprise more lenders. In addition, board size, audit committee structure, and other board characteristics influence bank loan prices. However, they do not consistently affect all nonprice loan terms except for audit committee independence. Our study provides strong evidence that banks recognize the benefits of board monitoring in mitigating information risk ex ante and controlling agency risk ex post, and they reward higher quality boards with more favorable loan contract terms.
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Foreign Bank Entry, Credit Allocation and Lending Rates in Emerging Markets: Empirical Evidence from Poland
Hans Degryse, Olena Havrylchyk, Emilia Jurzyk, Sylwester Kozak
Journal of Banking and Finance,
No. 11,
2012
Abstract
Earlier studies have documented that foreign banks charge lower lending rates and interest spreads than domestic banks. We hypothesize that this may stem from the superior efficiency of foreign entrants that they decide to pass onto borrowers (“performance hypothesis”), but could also reflect a different loan allocation with respect to borrower transparency, loan maturity and currency (“portfolio composition hypothesis”). We are able to differentiate between the above hypotheses thanks to a novel dataset containing detailed bank-specific information for the Polish banking industry. Our findings demonstrate that banks differ significantly in terms of portfolio composition and we attest to the “portfolio composition hypothesis” by showing that, having controlled for portfolio composition, there are no differences in lending rates between banks.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.
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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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Equity Home Bias and Corporate Disclosure
Stefan Eichler
Journal of International Money and Finance,
No. 5,
2012
Abstract
I show that more comprehensive corporate disclosure reduces investors’ uncertainty about domestic companies’ payoffs at no cost, thereby decreasing investors’ equity home bias toward a country. Since investors should base their investment decisions on valid and easily interpretable company information only, more comprehensive disclosure will reduce the home bias only if domestic securities law is sufficiently stratified and domestic companies use international accounting standards. Using panel data for 38 countries from 2003 to 2008 I find that more comprehensive disclosure reduces investors’ home bias, though significantly only for countries that sufficiently enforce their securities law and implement international accounting standards.
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Stale Information, Shocks, and Volatility
Reint E. Gropp, A. Kadareja
Journal of Money, Credit and Banking,
No. 6,
2012
Abstract
We propose a new approach to measuring the effect of unobservable private information on volatility. Using intraday data, we estimate the effect of a well-identified shock on the volatility of stock returns of European banks as a function of the quality of public information available about the banks. We hypothesize that as publicly available information becomes stale, volatility effects and its persistence increase, as private information of investors becomes more important. We find strong support for this idea in the data. We further show that stock volatility is higher just before important announcements if information is stale.
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Does Central Bank Staff Beat Private Forecasters?
Makram El-Shagi, Sebastian Giesen, A. Jung
IWH Discussion Papers,
No. 5,
2012
Abstract
In the tradition of Romer and Romer (2000), this paper compares staff forecasts of the Federal Reserve (Fed) and the European Central Bank (ECB) for inflation and output with corresponding private forecasts. Standard tests show that the Fed and less so the ECB have a considerable information advantage about inflation and output. Using novel tests for conditional predictive ability and forecast stability for the US, we identify the driving forces of the narrowing of the information advantage of Greenbook forecasts coinciding with the Great Moderation.
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Credit Allocation and Value Creation of Banks: The Impact of Relationship Banking in Normal and Crisis-times
Hans Degryse, Steven Ongena
Revue d'économie financière,
No. 106,
2012
Abstract
Cet article passe en revue la littérature sur l’allocation de crédit et la création de valeur par les banques. Il se concentre sur l’activité de banque relationnelle, à savoir le fait qu’une banque et un emprunteur se lancent dans de multiples interactions et que chacun des deux agents s’efforce d’obtenir des informations spécifiques sur l’autre. Il montre comment la banque relationnelle génère des coûts et des bénéfices à la fois pour les entreprises et pour les banques, mais qu’en règle générale, elle est source de valeur pour chacun d’eux. Néanmoins, l’incidence de ce type de relation est en grande partie fonction du contexte économique (période normale ou période de crise). Est aussi abordée la manière dont l’allocation de crédit, mesurée par la spécialisation sectorielle, affecte les entreprises et les banques. Enfin, l’examen de la littérature récente en matière de titrisation et de relation bancaire permet de mettre en évidence la manière dont la titrisation affecte les effets de la banque relationnelle.
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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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