Key Borrower Detection by Long-Range Interactions
World financial crisis has vividly demonstrated systemically important financial institutions to be subject of great attention in both mature and emerging market economies. The paper aims at summarizing the approaches to systemically important financial institutions identification and regulation. Qualitative and quantitative methods are discussed, as well as the demand for systemically important financial institutions identification for the case of Russian banking sector.
Commonly in network analysis a graph (network) is represented by its adjacency matrix, and the latter may have an enormous order. We show that in many situations (generalizing the case of regular graph) a much smaller matrix (referred as type adjacency matrix) may be used instead. We introduce concepts of the types of nodes and of the type adjacency matrix, study properties of the latter and demonstrate some of its applications in social and economic network analysis. In particular, we consider centrality measures in undirected networks and dynamic patterns in a development model based on the structure of optimal paths in directed weighted networks.
In July 2013. Basel Committee on Banking Supervision published a new version of the document concerning the identification and regulation of systemically important financial institutions. In this paper modified version of the Basel Committee’s method is proposed, taking into account the features of the banking sector in Russia and approbation of the proposed method on official statements of the largest Russian banks.
Game theory has recently become a useful tool for modeling and studying various networks. The past decade has witnessed a huge explosion of interest in issues that intersect networks and game theory. With the rapid growth of data traffic, from any kind of devices and networks, game theory is requiring more intelligent transformation. Game theory is called to play a key role in the design of new generation networks that are distributed, self-organizing, cooperative, and intelligent. This book consists of invited and technical papers of GAMENETS 2018, and contributed chapters on game theoretic applications such as networks, social networks, and smart grid.
We study game equilibria in a network, in each node of which an economy is described by a two-period model of endogenous growth with production and knowledge externalities. Each node obtains an externality produced by the sum of knowledge in neighbour nodes. Uniqueness of the inner equilibrium is proved. Ways of behaviour of agent (passive, active, or hyperactive) in dependence on received externalities are studied. Classification of networks based on a notion of type of node is provided. It is shown that the inner equilibrium depends not on the network’s size or topology but on its structure in terms of the types of nodes, and in networks with similar types structure agents in nodes of the same type behave similarly. Changes of the equilibrium under changes in the network structure are studied, as well as network formation, in particular, connection of network components, and appearance of new links.
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.