EFA AND PRIVATE EDUCATION: SOME REGIONAL EXPERIENCES AND FINDINGS

Many developing and transitional countries do not have sufficient resources or capacities to meet the Education for All goals. Given that private education is a growing reality around the world, partnerships between governments and private providers may support attempts to meet the goals of EFA. This article uses recent empirical research from a variety of regions to examine the appropriate roles of the government and the private sector in the provision of primary, basic and secondary levels of instruction.     

Techno-economic case study on dedicated RAN for an intelligent transportation system: impact of the legislation-driven costs

Intelligent Transportation Systems (ITS) aim at improving daily travel experience. There are many promising communication technologies that could provide some ITS services. So far they have been predominantly evaluated from the technical point of view. This paper contributes a techno-economic evaluation of a case study on dedicated Radio Access Network (RAN) for public ITS. We analyze, calculate and compare Capital (CapEx) and Operational Expenditures (OpEx) for four different ITS-enabling wireless technologies: Ultra High Frequency standard, Wi-Fi 802.11n, Dedicated Short Range Communications (DSRC) 802.11p and LTE. This paper expands our results from Grigoryev et al. (2015). Here, we discuss in more details RAN planning and generalize legislation-driven cost influence on CapEx for DSRC and LTE deployments.     

Accelerated Multi-Organization Conflict Resolution

In this paper, we discuss two situations where two organizations with different aims recognized the dysfunctionality of their relationship. In each of these cases, which were long running (6–8 months), the organizations had worked hard to resolve this dysfunctionality, and conflict, by organizing off-site meetings designed to resolve the conflict. These 1-day meetings failed. Subsequently Group Support System workshops were used for 1 day workshops and in each case the conflict was essentially resolved within 55 min. The research reported in this paper seeks to answer the question: what happened in these cases that led to a resolution of the conflict in such a short time period, given other attempts had failed? Specifically the paper explores the impact of the GSS used to facilitate two organizations seeking to resolve a conflictual situation.     

DYNAMIC COHERENT ACCEPTABILITY INDICES AND THEIR APPLICATIONS TO FINANCE

In this paper, we present a theoretical framework for studying coherent acceptability indices (CAIs) in a dynamic setup. We study dynamic CAIs (DCAIs) and dynamic coherent risk measures (DCRMs), and we establish a duality between them. We derive a representation theorem for DCRMs in terms of a so‐called dynamically consistent sequence of sets of probability measures. Based on these results, we give a specific construction of DCAIs. We also provide examples of DCAIs, both abstract and also some that generalize selected classical financial measures of portfolio performance.     

Strategic and institutional effects on foreign IPO performance: Examining the impact of country of origin,corporate governance,and host country effects

Integrating signaling and institutional perspectives, we develop and test hypotheses relating institutions and corporate governance to foreign IPO success. Our investigation highlights the importance of three important drivers of foreign IPO success: home country legal institutions, corporate governance, and host capital market choice. This research demonstrates that board independence and country of origin effects are powerful signals. However, these factors do not have a universal impact on foreign IPO success. Instead, the value of home country institutions along with corporate governance signals are contingent upon the institutional environment in which international entrepreneurs choose to seek capital resources.     

ON PROPERTIES OF ANALYTICALLY SOLVABLE FAMILIES OF LOCAL VOLATILITY DIFFUSION MODELS

We present some further developments in the construction and classification of new solvable one‐dimensional diffusion models having transition densities, and other quantities that are fundamental to derivatives pricing, representable in analytically closed form. Our approach is based on so‐called diffusion canonical transformations that produce a large class of multiparameter nonlinear local volatility diffusion models that are mapped onto various simpler diffusions. Using an asymptotic analysis, we arrive at a rigorous boundary classification as well as a characterization with respect to probability conservation and the martingale property of the newly constructed diffusions. Specifically, we analyze and classify in detail four main families of driftless regular diffusion models that arise from the underlying squared Bessel process (the Bessel family), Cox–Ingersoll–Ross process (the confluent hypergeometric family), the Ornstein‐Uhlenbeck diffusion (the OU family), and the Jacobi diffusion (the hypergeometric family). We show that the Bessel family is a superset of the constant elasticity of variance model without drift. The Bessel family, in turn, is nested by the confluent hypergeometric family. For these two families we find further subfamilies of conservative strict supermartingales and nonconservative martingales with an exit boundary. For the new classes of nonconservative regular diffusions we also derive analytically exact first exit time densities that are given in terms of generalized inverse Gaussians and extensions. As for the two other new models, we show that the OU family of processes are conservative strict martingales, whereas the Jacobi family are nonconservative nonmartingales. Considered as asset price diffusion models, we also show that these models demonstrate a wide range of local volatility shapes and option implied volatility surfaces that include various pronounced skew and smile patterns.     

Do outside directors and new managers help improve firm performance? An exploratory study in Russian privatization

In the context of privatization and restructuring in Russia, we test two standard agency theory hypotheses, namely, (1) outside board members and (2) new managers are positively related to firm performance. Based on a survey of 314 privatized firms, the evidence offers little support for the hypotheses. Historically, results refuting theories have been launch pads for scientific progress. Our findings, therefore, raise interesting questions about whether the underlying theory is appropriate, whether there are methodological problems, or whether there are institutional factors in Russia’s transition economy that need to be accounted for when we test agency theory in a new setting. We address these questions and discuss their implications for corporate governance theory, practice, and public policy.     

World energy forecast and consequences for Russia

This article reviews the results of the second Russian forecast of world energy development by 2040, threats to the Russian economy and energy development as a result of transformations in world energy markets, and ways to eliminate them.     

RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer

The purpose of this research is to develop and apply the extreme learning machine (ELM) to forecast gross domestic product (GDP) growth rate. Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth prediction based on the science and technology transfer. The main goal was to analyze the influence of number of granted European patents on the economic growth by field of technology. GDP was used as economic growth indicator. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models were accessed based on simulation results and using several statistical indicators. Coefficient of determination for ELM method is 0.9841, for ANN method it is 0.7956 and for the GP method it is 0.7561. Based upon simulation results, it is demonstrated that ELM can be utilized effectively in applications of GDP forecasting.

     

Simple axioms for countably additive subjective probability

This paper refines Savage’s theory of subjective probability for the case of countably additive beliefs. First, I replace his continuity axioms P6 and P7 with a simple modification of Arrow’s (1970) Monotone Continuity. Second, I relax Savage’s primitives: in my framework, the class of events need not be a σ-algebra, and acts need not have finite or bounded range. By varying the domains of acts and events, I obtain a unique extension of preference that parallels Caratheodory’s unique extension of probability measures. Aside from subjective expected utility, I characterize exponential time discounting in a setting with continuous time and an arbitrary consumption set.