On Persistence of Uncertainty Shocks
Venture capital (VC) provides financial and managerial support for new innovative ideas at the initial stages of commercialization. It has helped to find the market for many radical innovations of 20th century, including personal computer, Internet and genetic engineering.
As a part of market economy venture business was not stable from the very beginning. The periods of rapid growth alternated with deep recessions. However each time VC revived anew as the Phoenix due to its very important function in modern knowledge-based economy.
This report presents an analysis of statistical data that prove the existence of several cycles in VC dynamics in the USA and the Great Britain. The main factors of these cycles formation are discussed. The author proposes two possible scenarios of development of VC market for the first 30 years of the new 21st century. A hypothesis is put forward about the relation between VC cycle's amplitude and a phase of Kondratieff's cycle.
Background and motivation for a study of business cycles, business tendency surveys (BTSs), and cyclical indicators in the BRICS countries are specified. The main concepts and problems involved in monitoring and forecasting business cycles in emerging countries and countries in transition are overviewed; the importance of the experience of the BRICS in this context is demonstrated; different examples of the interaction between business cycles and social and political spheres are outlined. At last, the structure of the book is adduced.
Into the Red explores the emergence of a credit card market in post-Soviet Russia during the formative period from 1988 to 2007. In her analysis, Alya Guseva locates the dynamics of market building in the social structure, specifically the creative use of social networks. Until now, network scholars have overlooked the role that networks play in facilitating exchange in mass markets because they have exclusively focused on firm-to-firm or person-to-person ties. Into the Reddemonstrates how networks that combine individuals and organizations help to build markets for mass consumption. The book is situated on the cutting edge of emerging interdisciplinary research, linking multiple layers of analysis with institutional evolution. Using an intricate framework, Guseva chronicles both the creation of a credit card market and the making of a mass consumer. These processes are placed in the context of the ongoing restructuring in postcommunist Russia and the expansion of Western markets and ideologies through the rest of the world.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
Uncertainty is a concept associated with data acquisition and analysis, usually appearing in the form of noise or measure error, often due to some technological constraint. In supervised learning, uncertainty affects classification accuracy and yields low quality solutions. For this reason, it is essential to develop machine learning algorithms able to handle efficiently data with imprecision. In this paper we study this problem from a robust optimization perspective. We consider a supervised learning algorithm based on generalized eigenvalues and we provide a robust counterpart formulation and solution in case of ellipsoidal uncertainty sets. We demonstrate the performance of the proposed robust scheme on artificial and benchmark datasets from University of California Irvine (UCI) machine learning repository and we compare results against a robust implementation of Support Vector Machines.
The paper represents the review of contemporary approaches to the analysis of financial market imperfections and financial crises and their impact on fluctuations of the key macroeconomic variables during the business cycle as well as the transmission mechanism of financial shocks on the real economy in the framework of New Keynesian dynamic stochastic general equilibrium models. These models are widely used for the evaluation of monetary policy effects on macroeconomy and constitute the theoretical base for elaboration the optimal monetary policy not only during the crisis but for the further perspective. The construction of such models types for different economies including the Russian economy requires considering the institutional features and specific development and functioning characteristics of the of the national financial sector and economy as a whole.
This thought-provoking monograph analyzes long- medium- and short-term global cycles of prosperity, recession, and depression, plotting them against centuries of important world events. Major research on economic and political cycles is integrated to clarify evolving relationships between the global center and its periphery as well as current worldwide economic upheavals and potential future developments. Central to this survey are successive waves of industrial and, later, technological and cybernetic progress, leading to the current era of globalization and the changes of the roles of both Western powers and former minors players, however that will lead to the formation of the world order without a hegemon. Additionally, the authors predict what they term the Great Convergence, the lessening of inequities between the global core and the rest of the world, including the wealth gap between First and Third World nations.
Among the topics in this ambitious volume:
· Why politics is often omitted from economic analysis.
· Why economic cycles are crucial to understanding the modern geopolitical landscape.
· How the aging of the developed world will affect world technological and economic future.<
· The evolving technological forecast for Global North and South.
· Where the U.S. is likely to stand on the future world stage.
Economic Cycles, Crises, and the Global Periphery will inspire discussion and debate among sociologists, global economists, demographers, global historians, and futurologists. This expert knowledge is necessary for further research, proactive response, and preparedness for a new age of sociopolitical change.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.