A noncooperative model of contest network formation

In this paper we study a model of weighted network formation. The bilateral interaction is modeled as a Tullock contest game with the possibility of a draw. We describe stable networks under different concepts of stability. We show that a Nash stable network is either the empty network or the complete network. The complete network is not immune to bilateral deviations. When we allow for limited farsightedness, a stable network immune to bilateral deviations must be a complete $M$-partite network, with partitions of different sizes. We provide several comparative statics results illustrating the importance of the structure of stable networks in mediating the effects of shocks and interventions. In particular, we show that an increase in the likelihood of a draw has a nonmonotonic effect on the level of wasteful contest spending in the society. To the best of our knowledge, this paper is the first attempt to model weighted network formation when the actions of individuals are neither strategic complements nor strategic substitutes.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

New European Banking Governance and Crisis of Democracy: Bank Restructuring and Privatization in Slovenia

ABSTRACT

The paper makes three contributions to the understanding of the post-crisis European banking governance. First, it offers a more comprehensive approach to banking governance, beyond the Banking Union, through its concept of ‘New European Banking Governance’ (NEBG) that incorporates EU state aid rules and fiscal regulations. Second, it considers the impact of NEBG on democratic institutions and processes in EU member states, an under-researched topic in the literature on European banking governance. Finally, through its in-depth case study of Slovenia it considers the NEBG in relation to peripheral Eurozone states. It argues that the post-crisis banking governance framework of the EU not only severely constrained the Slovenian state in its policy choices but rearranged its policy-making institutions in a way that restricted and continues to restrict democratic banking policy formation.     

The Austrian theory of the cooperative firm

This paper draws on Wicksell's Value, Capital and Rent. The (comparative-statics) response of the cooperative to a change in its parameters (capital stock, rate of interest paid on capital stock, and production function) is examined. Severe employment problems may be expected if, in a cooperative setting, the rate of interest is, by macroeconomic management, kept at a relatively low level. Technological progress also may lead to a contraction in employment and even, under some circumstances, cause a decline in output per man. The cooperative is throughout contrasted with its capitalist counterpart.     

Valuing Mortgage Insurance Contracts in Emerging Market Economies

We develop a new option-based method for the valuation of mortgage insurance contracts in closed form in an economy where agents are risk neutral. While the proposed valuation method is general and can be used in any market, it may be particularly useful in emerging market economies where other existing methods may be either inappropriate or are too difficult to implement because of the lack of relevant data. As an application, we price a typical Serbian government-backed mortgage insurance contract.     

Creation of models for calculation of coefficients of terrain passability

Quality & Quantity - The content of this article is a paper about a complex mathematical model of terrain passability which respects geographical and meteorological conditions in terrain and...     

Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry

The present study analyses firm heterogeneity and sector‐specific technology. The theoretical model stands on the assumption of maximizing the return on capital and overcomes problems involved in simple profit maximization. The results show that a random parameter model with sector dummies and heteroscedasticity is the most appropriate model specification for distinguishing firm‐level and sector‐level efficiency and heterogeneity. The heterogeneity among firms as well as among sectors was found to be an important characteristic in Czech food processing. This holds for production technology as well as for technical efficiency. Moreover, the decomposition of total variance shows that intrasectoral differences in technologies are much more pronounced than the intersectoral differences. The differences in intrasector heterogeneity also suggest that the food processing industry will be subject to accelerated structural change in the coming years. Moreover, we found that on average the companies highly exploit their production possibilities. However, some companies cannot keep pace with competitors. Because leapfrogging does not appear to be present in selected industries (except for Milling), structural change is expected to occur in such a way that the most successful companies will strengthen their position.     

Financial Support from the Family Network and Illegal Immigration

Barriers to immigration of low‐skilled workers from developing countries into the advanced countries prevent many potential migrants from leaving their countries of origin. With very low home‐country wages in relation to the cost of undocumented migration, the opportunity to migrate often hinges on the possibility of obtaining credit from a human smuggling organization or family and friends. This paper examines the conditions under which migration is optimal for an individual who lacks liquid assets, with a focus on alternative options for financing migration costs. One is by accumulating the required amount of savings out of source‐country income, with or without financial support from the family or social network. The other is debt‐bonded migration, which involves borrowing from a smuggling organization and paying off the loan while working in the host country. I find that greater financial support from the family network increases the attractiveness of debt‐bonded relative to self‐financed migration.