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.     

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...     

Information,market power,and price volatility

We consider demand function competition with a finite number of agents and private information. We show that any degree of market power can arise in the unique equilibrium under an information structure that is arbitrarily close to complete information. Regardless of the number of agents and the correlation of payoff shocks, market power may be arbitrarily close to zero (the competitive outcome) or arbitrarily large (so there is no trade). By contrast, price volatility is always lower than the variance of the aggregate shock across all information structures. Alternative trading mechanisms lead to very distinct bounds as a comparison with Cournot competition establishes.     

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.     

Moral Pragmatism as a Bridge Between Duty,Utility, and Virtue in Managers’ Ethical Decision-Making

Journal of Business Ethics - The decline of empirical research on ethical decision-making based on ethical theories might imply a tacit consensus has been reached. However, the exclusion of virtue...     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.