Assessing competition in banking industry: a multiproduct approach

This paper aims to investigate the competition aspects of banking multiproduct operation. Based on an extension of Panzar and Rosse (1987)’s test to the case of a multiproduct banking firm, we take advantage of a new dataset constructed to Brazilian banking conglomerates to infer the impact of conglomeration on market power. We find that banks offering classic (i.e., loans and credit cards) and other bank products (i.e., brokerage services, insurance and capitalization bonds) have substantially higher market power than the ones which offer only classic products. Results suggest a positive bias on the traditional estimates of competition in which the multioutput actions are not taken into account.

Assessing competition in the banking industry: a multi-product approach

This paper investigates the competitive aspects of multi-product banking operations. Extending Panzar and Rosse (1987)’s model to the case of a multi-product banking firm, we show that the higher the economies of scope in multi-product banking are, the lower Panzar-Rosse’s measure of competition in the banking sector is. To test this empirical implication and determine the impact of multi-production/conglomeration on market power, we use a new dataset on Brazilian banking conglomerates. Consistent with our theoretical prediction, we find that banks offering classic banking products (i.e., loans and credit cards) and other banking products (i.e., brokerage services, insurance and capitalization bonds) have substantially higher market power than banks that offer only classic products. These results suggest a positive bias in the traditional estimates of competition in which multi-output actions are not considered.

Assessing Dodd Frank Effects on banking capital structure and Banker´s Pay structure

The systemic financial crisis that started in 2008 in the United States had some severe effects in the economic activity and required the bailout of financial institutions with the use of taxpayer’s money. It also originated claims for stronger regulatory framework in order to avoid another threat in the financial market. The Dodd Frank Act was proposed and approved in the United States in the aftermath of the crisis and brought, among many other features, the creation of the Financial Stability Oversight Council and the tougher inspection of financial institutions with asset above 50 billion dollars. The objective of this work is to study the causal effect of the Dodd Frank Act on the behavior of the treatment group subject to monitoring by the Financial Stability Oversight Council (financial institutions with assets above 50 billion dollars) regarding capital and compensation structure in comparison to the group that was not treated. We use data from Compustat and our empirical strategy is the Regression Discontinuity Design, not usually applied to the banking literature, but very useful for the present work since it allows us to compare the treatment group and the non-treatment group in the year of the enactment of the law (2010). No change of behavior was observed for the Capital Structure. In the Compensation Schemes, however, a decrease was found in the item other compensation for CEOs and CFOs. We also performed a robustness check by running a placebo test on the variables in the year before the law was enacted. No significance was found, which supports the conclusion that our main results were caused by the enactment of the DFA.

Assessing the performance of private equity investments

This study presents an alternative investment projection model to estimate the future values of Private Equity (PE) investments. The performance of PE investments is assessed by analyzing the risk-return relationship relative to simulated Public Market (PM) investments that mimic the cash flow patterns of PE investments. The model allows for a quantified analysis of the underlying inputs that outline the PE performance and risks, and accounts for survivorship bias. These inputs include the fund manager’s decisions regarding the selection, leverage, size, duration and timing of investment and divestments.

Assessing interdependence among countries' fundamentals and its implications for exchange rate misalignment estimates: An empirical exercise based on GVAR

Exchange rates are important macroeconomic prices and changes in these rates a ect economic activity, prices, interest rates, and trade ows. Methodologies have been developed in empirical exchange rate misalignment studies to evaluate whether a real e ective exchange is overvalued or undervalued. There is a vast body of literature on the determinants of long-term real exchange rates and on empirical strategies to implement the equilibrium norms obtained from theoretical models. This study seeks to contribute to this literature by showing that the global vector autoregressions model (GVAR) proposed by Pesaran and co-authors can add relevant information to the literature on measuring exchange rate misalignment. Our empirical exercise suggests that the estimate exchange rate misalignment obtained from GVAR can be quite di erent to that using the traditional cointegrated time series techniques, which treat countries as detached entities. The di erences between the two approaches are more pronounced for small and developing countries. Our results also suggest a strong interdependence among eurozone countries, as expected

Assessing the maturity levei of an organization in its adoption of collaboration technologies

Nowadays there are many information technologies that can make a significant difference to support collaborative efforts in the workspace. The role of IT is to support group collaboration by empowering team members with the right capabilities. One way to assess capabilities is through a maturity model. This paper proposes a first version of the Collaboration-Technology Maturity model (CTMM), aiming to serve as a strategic instrument for IT managers to control and manage the adoption of Collaboration Technologies (CITs) among their organizations. Our contribution is both theoretical and practical as we propose a descriptive maturity model. Nevertheless, it is also an application method and assessment instruments. We also completed an empirical evaluation by conducting 89 assessments at Latin American companies of all sizes and industries. This extensive field exercise allowed us to not only evaluate the usefulness of the model and instruments but also investigate CIT adoption patterns in Latin America in an attempt to collect historical data to further evolve CTMM into a comparative model. Responses were used to provide conclusions on CIT adoption in Latin America with respect to three specific backgrounds: the country of origin (region), size (in number of employees) and industry type. The implications of our findings are discussed for practitioners and researchers.

Limited liability and non-responsiveness in moral hazard and adverse selection problems

This work analyses the optimal menu of contracts offered by a risk neutral principal to a risk averse agent under moral hazard, adverse selection and limited liability. There are two output levels, whose probability of occurrence are given by agent’s private information choice of effort. The agent’s cost of effort is also private information. First, we show that without assumptions on the cost function, it is not possible to guarantee that the optimal contract menu is simple, when the agent is strictly risk averse. Then, we provide sufficient conditions over the cost function under which it is optimal to offer a single contract, independently of agent’s risk aversion. Our full-pooling cases are caused by non-responsiveness, which is induced by the high cost of enforcing higher effort levels. Also, we show that limited liability generates non-responsiveness.

Assessing global economic activity linkages: an empirical exercise based on global autoregressive regression

Economic performance increasingly relies on global economic environment due to the growing importance of trade and nancial links among countries. Literature on growth spillovers shows various gains obtained by this interaction. This work aims at analyzing the possible e ects of a potential economic growth downturn in China, Germany and United States on the growth of other economies. We use global autoregressive regression approach to assess interdependence among countries. Two types of phenomena are simulated. The rst one is a one time shock that hit these economies. Our simulations use a large shock of -2.5 standard deviations, a gure very similar to what we saw back in the 2008 crises. The second experiment simulate the e ect of a hypothetical downturn of the aforementioned economies. Our results suggest that the United States play the role of a global economy a ecting countries across the globe whereas Germany and China play a regional role.