Capital Markets, Ownership and Distance

This paper uses a new data-set to examine how internal capital markets and foreign ownership affect investment. Our data allow us to compare investment behaviour of listed subsidiaries with stand-alone firms while controlling for investment opportunities of parent and subsidiary firms. We evaluate how the size of ownership and the geographical proximity of majority owners to their subsidiaries affect firm investment efficiency. We find that the investment of subsidiaries is more sensitive to investment opportunities than that of standalone firms and falls when investment opportunities of parent firms improve. This suggests that there are internal capital markets that reallocate funds towards units with better investment opportunities. We find that investment allocation is most efficient where parents have modest ownership stakes and are distant from their subsidiaries and when subsidiaries operate in well developed financial markets. These results indicate that influence costs imposed by dominant parents may outweigh their potential informational benefits, especially when subsidiaries are located in countries with weaker financial development.Investment, Internal Capital Markets, Foreign Ownership

The Impact of Monetary and Commodity Fundamentals, Macro News and Central Bank Communication on the Exchange Rate: Evidence from South Africa

This paper studies drivers of high-frequency (daily) dynamics of the South African rand vis-à-vis the dollar from January 2001 to July 2007. We find strong nonlinear effects of commodity prices, perceived country and emerging market risk premium and changes in the dollareuro exchange rate on changes in daily returns of the rand-dollar exchange rate. We also identify a one-sided nonlinear mean reversion to the long-term monetary equilibrium. In addition we establish very short-lived effects on the exchange rate of selected macroeconomic surprises and central bank communication aimed at talking up the rand.http://deepblue.lib.umich.edu/bitstream/2027.42/64416/1/wp955.pd

Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss

We address the problem of detecting changes in multivariate datastreams, and we investigate the intrinsic difficulty that change-detection methods have to face when the data dimension scales. In particular, we consider a general approach where changes are detected by comparing the distribution of the log-likelihood of the datastream over different time windows. Despite the fact that this approach constitutes the frame of several change-detection methods, its effectiveness when data dimension scales has never been investigated, which is indeed the goal of our paper. We show that the magnitude of the change can be naturally measured by the symmetric Kullback-Leibler divergence between the pre- and post-change distributions, and that the detectability of a change of a given magnitude worsens when the data dimension increases. This problem, which we refer to as \emph{detectability loss}, is due to the linear relationship between the variance of the log-likelihood and the data dimension. We analytically derive the detectability loss on Gaussian-distributed datastreams, and empirically demonstrate that this problem holds also on real-world datasets and that can be harmful even at low data-dimensions (say, 10)

Systemic risk analysis using forward-looking distance-to-default series

Based on contingent claims theory, this paper develops a method to monitor systemic risk in the European banking system. Aggregated Distance-to-Default series are generated using option prices information from systemically important banks and the DJ STOXX Banks Index. These indicators provide methodological advantages in monitoring vulnerabilities in the banking system over time: 1) they capture interdependences and joint risk of distress in systemically important banks; 2) their forward-looking feature endow them with early signaling properties compared to traditional approaches in the literature and other market-based indicators; and 3) they produce simultaneously both smooth and informative long-term signals and quick and clear reaction to market distress.Systemic risk ; Banks and banking - Europe

Ownership concentration and market discipline in European banking: Good monitoring but bad influence?

We investigate the impact of banks’ ownership concentration on the effectiveness of shareholders’ market discipline. More precisely, we first assess whether the ability of the distance to default to predict banks’ financial distress is affected by the level of ownership concentration (“monitoring” hypothesis). We also assess whether banks’ future financial situation is directly affected by ownership concentration (“influence” hypothesis). Our econometric estimates are conducted on a panel of 77 European banks observed between the first quarter of 1997 and the last quarter of 2005. We find that ownership dispersion reduces the predictive power of the distance to default. The data collected come from three sources: Bankscope, Datastream and Thomson One Banker Ownership. The econometric methodology is based on simple pooled-logit estimates corrected for the clustering effect. Several tests are then conducted to assess the robustness of the results. We also recall that theoretical results do exist to explain why banks’ ownership structure can alter market discipline and the ability of market-derived indicators to predict future financial distresses. This work finally suggests that the empirical literature dealing with market discipline should not focus only on the moral hazard potentially created by bad insurance deposit design, balance sheet opacity or the safety net: the evolution of banks ownership structure might also be an important prudential issue.market discipline; ownership concentration; banks’ risk taking

Forecasting the Fragility of the Banking and Insurance Sector

This paper considers the issue of forecasting financial fragility of banks and insurances using a panel data set of performance indicators, namely distance-to- default, taking unobserved common factors into account. We show that common factors are important in the performance of banks and insurances, analyze the influences of a number of observable factors on banking and insurance performance, and evaluate the forecasts from our model. We find that taking unobserved common factors into account reduces the the root mean square forecasts error of firm specific forecasts by up to 11% and of system forecasts by up to 29% relative to a model based only on observed variables. Estimates of the factor loadings suggest that the correlation of financial institutions has been relatively stable over the forecast period.Financial stability, financial linkages, banking, insurances, unobserved common factors, forecasting

Default Risk and Equity Returns: A Comparison of the Bank-Based German and the U.S. Financial System

In this paper, we address the question whether the impact of default risk on equity returns depends on the financial system firms operate in. Using an implementation of Merton's option-pricing model for the value of equity to estimate firms' default risk, we construct a factor that measures the excess return of firms with low default risk over firms with high default risk. We then compare results from asset pricing tests for the German and the U.S. stock markets. Since Germany is the prime example of a bank-based financial system, where debt is supposedly a major instrument of corporate governance, we expect that a systematic default risk effect on equity returns should be more pronounced for German rather than U.S. firms. Our evidence suggests that a higher firm default risk systematically leads to lower returns in both capital markets. This contradicts some previous results for the U.S. by Vassalou/Xing (2004), but we show that their default risk factor looses its explanatory power if one includes a default risk factor measured as a factor mimicking portfolio. It further turns out that the composition of corporate debt affects equity returns in Germany. Firms' default risk sensitivities are attenuated the more a firm depends on bank debt financing

Potential output growth in several industrialised countries: a comparison

In this paper, we present international comparisons of potential output growth among several economies —Canada, the euro area, France, Germany, Italy, Japan, the Netherlands, the United Kingdom, and the United States— for the period 1991-2004. The main estimates rely on a structural approach where output of the whole economy is described by a Cobb-Douglas function. This framework enables us to take temporal considerations into account, depending on the assumed volatility of potential output. Moreover, this study presents two original features, in other words, the construction of consistent and homogenous capital stock series, and long-run estimates including capital-deepening effects based on a stable capital/output ratio in value terms, whereas standard estimations assume a stable ratio in volume terms. Lastly, we use univariate methods as a benchmark. Even though the final estimates are obviously sensitive to each method and the assumptions made for each of them, this paper might help to understand why some economies remained below their potential growth rate during the recent period by identifying the sources of long-run potential growth. JEL Classification: C51, E32, O11, O47age of equipments, potential growth, production function, total factor productivity

Export dynamics in Small Open Economies: Indigenous Irish Manufacturing Exports, 1985-2003

The aim of this paper is to explore how a recent methodology developed to look at export dynamics in a region in a large economy can be extended to look at export dynamics in a small open economy, where local market size means that enterprises tend to engage in exporting at an early stage in their development. Building on work by Wagner (2004) and in the context of the recent trade modelling of export heterogeneity (e.g., Melitz (2003)), this paper explores export dynamics in the Irish indigenous manufacturing sector using Davis, Haltiwanger and Schuh (1996) type decomposition techniques from the labour turnover literature. Overall export growth rates in the manufacturing sector vary widely, and we focus particularly on two years when exceptional rates of growth and decline were experienced. We conduct our analysis using a plant level panel data set constructed from the annual Irish Census of Industrial Production for the period 1985 to 2003. We find that there is considerable entry/re-entry and exit/re-exit in the export market but most of the export dynamics are dominated by the activities of continuing exporters.Exports; decomposition, manufacturing, plant-level panel data