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.
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 Article is focused on a problem of forecasting demand for cash money in ATMs of a commercial Bank. The solution of the forecasting problem let us optimize the processes of liquidity management, cash management and ATM service by the collection service. The method of machine learning - neural network-is used to obtain the forecast of cash turnover. The authors made and trained a model of a multilayer perceptron with one hidden layer in the Python 3 programming language using the Keras library, as well as a model of a recurrent neural network. As a result, the forecast of peaks and declines in demand for cash at the Bank's ATMs was obtained. Based on the forecast load management of ATMs ensures minimal maintenance costs and keep money in the ATM. The algorithm can be replicated to the entire ATM network, as well as applied to another commercial banks.
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.