Модели внутридневной динамики ликвидности акций индекса голубых фишек Московской биржи
The monograph contains the results of a study of the theoretical and methodological issues of managing the liquidity of a firm. The essence of this category is determined, the types of liquidity and their financial consequences for the company are identified; various groups of methods for measuring liquidity of a company are summarized and systematized, allowing to give a comprehensive assessment of this financial characteristic, factors shaping it, ways to maintain liquidity and potential threats to reduce it. The fundamentals of liquidity management in the organization’s financial management system are investigated, providing for the need to implement the principles of interconnection and balance of strategic and short-term financial goals, risk and profitability of a company based on a two-tier liquidity management system. A system of methods, models and tools for managing liquidity is presented within the framework of the formation of the company's working capital management policy and the management of its components - stocks, receivables and payables, and cash, which determine the level of liquidity of the company. The features and priorities of managing the liquidity of transport companies are highlighted, which are based on an analysis of the specifics of their activities, capital formation, structure of current assets and sources of its financing.
The paper presents a review of stochastic framework for term structure modeling and shows comparative advantages of commonly used techniques. The main application of the research is coherent modeling of credit and interest rate risk for Euro zone issuers.
This article presents an engineering approach to estimating market resiliency based on analysis of the dynamics of a liquidity index. The method provides formal criteria for defining a “liquidity shock” on the market and can be used to obtain resiliency-related statistics for further research and estimation of this liquidity aspect. The developed algorithm uses the results of a spline approximation for observational data and allows a theoretical interpretation of the results. The method was applied to real data resulting in estimation of market resiliency for the given period.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.