The Exchange Rate and its Fundamentals in a Complex World

We develop a nonlinear exchange rate model with heterogeneous agents. Some agents adopt a “fundamentalist” forecasting rule, while others use a “chartist” forecasting rule. We show that the model is capable of explaining the empirical puzzles relating to exchange rate movements. In particular, the model explains the “exchange rate determination” and PPP puzzles, the excess volatility, and fat tails in exchange rate returns.     

A Jump-diffusion Model for Exchange Rates in a Target Zone

We propose a simple jump-diffusion model for an exchange rate target zone. The model captures most stylized facts from the existing target zone models while remaining analytically tractable. The model is based on a modified two-limit version of the C OX , I NGERSOLL and R OSS (1985) model. In the model the exchange rate is kept within the band because the variance decreases as the exchange rate approaches the upper or lower limits of the band. We also consider an extension of the model with parity adjustments, which are modeled as Poisson jumps. Estimation of the model is by GMM based on conditional moments. We derive prices of currency options in our model, assuming that realignment jump risk is idiosyncratic. Throughout, we apply the theory to EMS exchange rate data. We show that, after the EMS crisis of 1993, currencies remain in an implicit target zone which is narrower than the officially announced target zones.     

LIQUIDITY,MONEY CREATION AND DESTRUCTION,AND THE RETURNS TO BANKING*

We build on our earlier model of money in which bank liabilities circulate as a medium of exchange. We investigate optimal bank behavior and the resulting provision of liquidity under a range of central bank regulations. In our model, banks issue inside money under fractional reserves, facing the possibility of excess redemptions. Banks consider the float resulting from money creation and make reserve‐management decisions that affect aggregate liquidity conditions. Numerical examples demonstrate positive bank failure rates when returns to banking are low. Central bank interventions may improve banks' returns and welfare through a reduction in bank failure.     

Entrepreneurial cognition and internationalization speed: towards a potential moderating effect of experiential and rational information processing

This study explores the influence that entrepreneurial cognition, in terms of the dichotomy in human information processing, has on the earliness of internationalization and post-entry speed. Entrepreneurial cognition is investigated through the lens of the dual-process theory, which posits that human information processing is formed of two systems, the experiential cognitive system (System 1) and the rational and analytical cognitive system (System 2). The speed of the entire internationalization process is analyzed in terms of earliness (how soon after inception a company enters its first international market) and post-entry speed (how fast it enters new markets after the first internationalization). Drawing on ten cases, we find that companies that internationalized earlier and faster were managed by entrepreneurs with higher levels of the experiential cognitive system. In contrast, companies that internationalized later and more gradually were managed by entrepreneurs with higher levels of the rational cognitive system. Thus, our study reveals that the speed of the entire process of internationalization is governed, at least partially, by the entrepreneur’s cognition. On the basis of our findings, we introduce three propositions on the moderation that the entrepreneur’s cognition exerts on the well-established relations between environmental signals and both earliness of internationalization and post-internationalization speed.

     

Event History Data and Making a History out of Cross-Sectional Data

At the turn of 20th century social scientists have built up a large stock of cross-sectional data-sets to study social change. However, scholars more and more collect event history data containing the exact timing of events. Comparing the (dis)advantages event history data are to be preferred. However, for research on value change the event history approach is inapplicable, since it is not possible to ask the timing of a value change retrospectively. I will illustrate that value change (i.e. cohort differences) can be studied adequately with cross-sectional data, if information about the historical context is added. For this purpose I test Inglehart's value change thesis.Interestingly, there are also topics in which cross-sectional data-sets are unnecessarily being used. Using research on secularization as an example, I show that the event-history approach can be used to answer the question whether the decreasing number of religious people concerns a cohort-effect. However, whatever data-set is being used, to study cohort differences, one should always give a theoretical answer to the key-question: what exactly makes cohorts different     

Risk and Capital Structure in the Regulated Firm

This paper studies the role of capital structure in a regulated firm. We show that it affects the prices set by the regulator, the expected price being lower the higher the proportion of debt finance. However, when debt is increased beyond a certain level, the benefit of lower expected prices is offset by their increased variability. We also study the socially preferred capital structure. This is such that consumers carry some risk, in the form of higher prices in adverse economic conditions.     

GAME THEORETIC MODELS OF MIXED OLIGOPOLY

Abstract. In this paper we review various models that have been proposed for the study of mixed oligopoly, that is markets in which private and public firm compete on equal basis using only market instruments.     

The finance-growth nexus: The role of banks

We contribute to the finance-growth nexus literature by showing that credit origin, bank ownership, type of credit, and bank type matter in economic growth. We use a unique dataset covering 5555 cities in Brazil, with granular information on credit characteristics. We find that non-earmarked credit to the corporate sector is associated with municipal economic growth more strongly than earmarked credit, despite the increase in the relevance of the latter after the global financial crisis. We also find that the type of credit—whether the loans are general purpose or for a specific purpose—is associated with economic growth in different ways. Overall, credit provided to the corporate sector by domestic private banks is correlated with higher economic growth rates. In contrast, the relationship between credit from state-owned banks and economic growth becomes statistically significant only after the crisis. Although we follow the finance-growth literature in our empirical exercises using internal instruments in generalized method of moments (GMM) estimations, we also conduct robustness tests using two additional external instruments: the number of complaints filed against each bank and local credit accessibility. Our findings with external instruments are the same with respect to the use of traditional internal instruments in GMM estimations.     

What hinders innovation performance of services and manufacturing firms in Mexico?

Barriers to innovation are heterogeneous, of financial and non-financial nature. The importance of barriers to innovation and their actual influence on innovation depend on firms’ characteristics such as sectoral affiliation, technological behavior and their response to perceived obstacles to innovation. Firms either continue to engage in innovation, or they avoid the activity altogether. This paper explored the nature and perceived importance of the obstacles to innovation that firms confront, in a developing-country context; we build on survey data about firms in Mexico. Our findings suggest that two kinds of policy interventions should help offset a firm’s perception of barriers to innovation. On the one hand, policies should enhance the innovation capacity of firms interested in innovation; on the other hand, policies need to tackle factors that reduce the interest of firms in innovation. Policies that boost demand for locally generated innovations would assist in achieving both these goals.