Strategic merger waves: A theory of musical chairs

This paper proposes an explanation of merger waves based on the interaction between competitive pressure and irreversibility of mergers in an uncertain environment. A set of acquirers compete over time for scarce targets. At each point in time, an acquirer can either postpone a takeover attempt or raid immediately. By postponing the takeover attempt, an acquirer may gain from more favorable future market conditions, but runs the risk of being preempted by rivals. First, a complete information model is considered and it is shown that the above tradeoff leads to a continuum of subgame perfect equilibria in monotone strategies that are strictly Pareto ranked. All these equilibria share the feature that all acquirers rush simultaneously in merger waves. The model is then extended to a dynamic global game by introducing slightly noisy private information about merger profitability. This game is shown to have a unique Markov perfect Bayesian equilibrium in monotone strategies and the timing of the merger wave can thus be predicted. Last, the comparative dynamics predictions of the model are related to stylized facts.     

Risky public domestic debt composition in emerging economies

This paper explains why public domestic debt composition in emerging economies can be risky, namely in foreign currency, with a short maturity or indexed. It analyses empirically the determinants of these risk sources separately, developing a new large dataset compiled from national sources for 33 emerging economies over 1994–2006. The paper finds that economic size, the breadth of the domestic investor base, inflation and fiscal soundness are all associated with risky public domestic debt compositions, yet to an extent that varies considerably in terms of magnitude and significance across sources of risk. Only inflation impacts all types of risky debt, underscoring the overarching importance of monetary credibility to make domestic debt compositions in emerging economies safer. Given local bond markets' rapid development, monitoring risky public domestic debt compositions in emerging economies becomes increasingly relevant to global financial stability.     

When are outside directors effective?

This paper uses recent regulations that have required some companies to increase the number of outside directors on their boards to generate estimates of the effect of board independence on performance that are largely free from endogeneity problems. Our main finding is that the effectiveness of outside directors depends on the cost of acquiring information about the firm: when the cost of acquiring information is low, performance increases when outsiders are added to the board, and when the cost of information is high, performance worsens when outsiders are added to the board. The estimates provide some of the cleanest estimates to date that board independence matters, and the finding that board effectiveness depends on information cost supports a nascent theoretical literature emphasizing information asymmetry. We also find that firms compose their boards as if they understand that outsider effectiveness varies with information costs.     

Corporate venture capital and the returns to acquiring portfolio companies

A prominent motive for corporate venture capital (CVC) is the identification of entrepreneurial-firm acquisition opportunities. Consistent with this view, we find that one of every five startups purchased by 61 top corporate investors from 1987 through 2003 is a venture portfolio company of its acquirer. Surprisingly, our analysis reveals that takeovers of portfolio companies destroy significant value for shareholders of acquisitive CVC investors, even though these same investors are “good acquirers” of other entrepreneurial firms. We explore numerous explanations for these puzzling findings, which seem rooted in managerial overconfidence or agency problems at the program level.     

On the implications of market power in banking: Evidence from developing countries

This paper investigates how different degrees of market power affect bank efficiency and stability in the context of developing economies. It sheds light on the competition-stability nexus by documenting and analyzing the complex interactions between a tripod of variables that are central for regulators: the degree of market power, bank cost and profit efficiency, and overall firm stability. The results show that an increase in the degree of market power leads to greater bank stability and enhanced profit efficiency, despite significant cost efficiency losses. The findings lend empirical justification to the traditional view that increased competition may undermine bank stability, and may bear significant implications for stressed banking systems in developing economies.     

A compound option approach to model the interrelation between banking crises and country defaults: The case of Hungary 2008

We analyze the Hungarian financial crisis of 2008 in a stochastic framework that advances structural credit risk models for country defaults: by applying compound option theory we consider payments for bailing-out the banking sector together with debt service payments in a joint crisis model. We estimate the model parameters by applying the time series maximum-likelihood approach of Duan (1994) on yield spreads of Hungarian Bonds. We find that difficulties in acquiring funds for debt servicing in combination with high outstanding debt triggered the crisis, rather than problems in the domestic banking sector. The estimated crisis probabilities dramatically rise during 2008.     

The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence

This paper uses discriminant and logit analyses to develop prediction models to identify bank acquisition targets. We consider several methodological issues, such as whether the choice of the estimation technique, the selection of variables, the use of raw versus industry relative data, the train-and-test sampling scheme, and the criteria for model evaluation affect the predictive accuracy of the developed models. Both estimation methods generate remarkably similar model performance rankings, while differences are revealed in the relative importance of variables when using raw versus industry relative data. We find that in most cases there is a fair amount of misclassification, consistent with previous studies in non-financial sectors, which is hard to avoid given the nature of the problem.     

Do private firm valuations contain incremental information content over routine analyst valuations?

In this study, we seek to investigate whether private expert valuations commissioned for specific transactions outside the exchange contain incremental information content over public analyst valuations published routinely by investment houses. First, we find that public valuations are based to a larger extent on financial statements and market quotes, whereas private valuations tend to be based on other, non-public information. Second, we show that investors’ response to both public and private valuations is cautious in the short-run as well as in the long-run. Third, we provide evidence that despite the fact that private valuations have the advantage of time, human resources, and better access to non-public information, they do not provide different results than those obtained from public valuations. We conclude that while private valuations may be captured as more accurate and reliable, their superiority over public valuations is questionable at best.     

The Internet's impact on trademark applications

This article assesses empirically the impact of Internet access on the number of trademark applications submitted by countries' residents. The analysis suggests that promotion of access to the Internet influences positively the submission of trademark applications by residents. Greater access to the Internet exerts a stronger positive effect on trademark submissions in developed countries than in developing ones. This positive effect is enhanced when countries further liberalise their trade regimes.     

An integrated maximum score estimator for a generalized censored quantile regression model

Quantile regression techniques have been widely used in empirical economics. In this paper, we consider the estimation of a generalized quantile regression model when data are subject to fixed or random censoring. Through a discretization technique, we transform the censored regression model into a sequence of binary choice models and further propose an integrated smoothed maximum score estimator by combining individual binary choice models, following the insights of Horowitz (1992) and Manski (1985). Unlike the estimators of Horowitz (1992) and Manski (1985), our estimators converge at the usual parametric rate through an integration process. In the case of fixed censoring, our approach overcomes a major drawback of existing approaches associated with the curse-of-dimensionality problem. Our approach for the fixed censored case can be extended readily to the case with random censoring for which other existing approaches are no longer applicable. Both of our estimators are consistent and asymptotically normal. A simulation study demonstrates that our estimators perform well in finite samples.