Publications

The textbook covers such important aspects of financial planning as methodological development of financial planning mechanisms, budgeting, forecasting the growth rate of the company and the company's value. Financial planning mechanisms in organizations should be adapted to the specific focus of the main business processes.When developing the optimal mechanism for planning financial resources and sources of their formation, developers of financial plans should be guided by the principles of scientific news and target orientation, the basic principles of financial planning in organizations. In this regard, the system knowledge gained from the study of this publication allows students to gain theoretical knowledge and practical skills in the competent preparation and implementation of financial plans and effective management of the company.

This paper discusses whether being smart makes depositors less prone to get involved in a panic bank run. We conduct a series of experiments with undergraduate and graduate students from Moscow and Saint-Petersburg, modelling the a-la Diamond-Dybvig deposit market with liquidity shocks, changing macroeconomic conditions and risk-based investment technologies. Our results suggest that withdrawing on time is profitable, as the average returns of depositor investments are higher, especially if the other depositors in the bank also withdraw on time. Smarter depositors – those having better academic achievements – choose the strategy of avoiding early withdrawals more frequently: each additional grade point (out of ten) adds 9 p.p. to the share of rounds where a depositor withdraws on time. This result adds to the evidence that financial literacy – even measured in a very simple way – may prevent a coordination failure in the deposit market. Our results also suggest that panic withdrawals are more probable in markets with poorer economic conditions (liquidity shocks, less profitable or less liquid investments, costly financial information), but depositors show weak sensitivity to the risks of bank investments. Depositors of medium-sized banks withdraw on time more frequently compared to those in small or large banks.

In this paper we are going to review both theoretical studies in the field of intellectual capital measurement and empirical research, devoted to analyses of intellectual capital influence on companies’ value and financial performance. As a result, potential areas for further investigations in this field were revealed.

Considering groups of intellectual capital measurement methods, we identified that direct intellectual capital methods and scorecard methods are the most appropriate for the purpose of IC components measurement. To obtain objective results of measurement it seems reasonable to develop system of proxy indicators for all intellectual capital components (human, structural and relational capitals) and subcomponents (process and innovation, client and network capitals). Basing on existing literature, we make an attempt to identify and systemize indicators, associated with intellectual capital and reveal that network capital metrics remain under-researched and deserve closer examination. It was also found that investigators should develop the system of intellectual capital indicators, taking into account industry specificity.

 As for empirical studies, in order to investigate the influence of intellectual capital on corporate value and financial performance, it seems reasonable to elaborate models, which include factors, associated with all intellectual capital components and subcomponents and, what is just as important, their interrelations. Furthermore, it is vital to investigate the relationships between the values of IC components for companies. The models should be adopted for both developed and developing countries. It is also important to analyze the influence of intellectual capital in various industries separately, taking into consideration phase of economic cycle.

The paper examines how type of ownership affects the profit efficiency of Russian banks. Using bank-quarter data for selected banks in the period 2004–2015, we combine stochastic frontier analysis (SFA) methodology with an intermediary approach to assess profit efficiency. Our key findings show that foreign-owned banks are the most efficient, followed by state-owned banks and private domestic banks. We also find that the profit efficiency of foreign-owned banks was higher than that of other banks during the economically stable periods of 2004Q1 to 2008Q2 and 2014Q1 to 2015Q3, and that state-owned banks were more efficient than others in the period of financial turmoil from 2008Q3 to 2013Q4 thanks to state support. These results are robust when we consider these banks in terms of branch network diversity, risk preferences, and specialization.

This article evaluates the benefits to merchants resulting from participation in the retail payments market. Using surveys to obtain a representative sample of 800 traditional (offline) Russian merchants, the article finds significant, robust evidence in favor of positive merchant's benefits. This study further separates the benefits into direct and opportunity: finding that the non-welfare improving regulatory initiatives might result from the failure to account for the opportunity benefits to merchants. This article also examines the factors affecting the level of merchants' benefits. Results show that factors affecting the value of benefits and the probability of accepting payment cards differ. Findings imply that unbalanced intervention may be detrimental to the agents' welfare, leading to a suggested mechanism for ex-ante evaluation of the effect of shocks and interventions.

Modern financial technologies, in particular cryptocurrencies, penetrate deeper and deeper into the life of the modern world and the Russian society. The spread of cryptocurrencies in almost all areas is promoted by the following advantages: anonymity of payments, low commissions, and the inability to restrict the owners’ access to their funds. The use of cryptocurrencies is not limited to the banking and medical areas, insurance and services industries. Some experts suggest the creation of cryptocurrency as the single currency of the Eurasian Economic Union. Today this issue is only being discussed, but the advantages and a wide spread of cryptocurrencies prove that they can become one of the possible solutions in the currency agreement of the EEU being developed. To assess the prospects of using cryptocurrencies in the Eurasian Economic Union, it is necessary to analyze the prerequisites of cryptosystems, as well as to study the history of their development. The purpose of this article is to make a comparative analysis of cryptocurrencies on the EEU market in terms of possible use of the cryptocurrency as a supranational means of payment. The article considers the prerequisites of cryptocurrencies. Features of the currently most popular cryptocurrencies are analyzed. Possibilities of using them as EEU supranational payment means are estimated. Directions of the cryptocurrencies development on the EEU market are studied.

Technologies may have significant effects on productivity in the agricultural sector as documented in the related literature. However, those impacts vary from country to country. These differences could partially reflect the distinct scientific landscapes, science technology and innovation (STI) policies and approaches to R&D. In order to explain the cross-country volatility of agricultural productivity, we aim to study issues of STI development in the agricultural sector in each country. Among other characteristics of STI in general and the scientific landscape, in particular, we looked at the diversification of research publication between subfields of agricultural science. We estimated the research diversification parameter and studied its relation to economic performance of an agricultural sector. Our main finding shows that R&D funding, if carefully balanced with the diversification of agricultural science, could improve research performance and eventually productivity in an agricultural sector.

We study the relationship between economic policy uncertainty and sys-

temic risk for nine European countries in January 2010–September 2016 by apply-

ing conventional Granger causality tests and advanced techniques (wavelet analy-

sis and Bayesian VARs). The country-level analyses show that the lead-lag patterns

vary considerably in the short and longer run as well as at different frequencies.

Nonetheless, the pivotal role of uncertainty tends to strengthen over longer time

horizons (at lower frequencies) and in the BVAR framework. This is true for finan-

cially fragile economies such as Ireland, Italy, Russia, Spain. A panel BVAR model

confirms this finding for the whole sample.

In recent years the Russian banking system has witnessed numerous bank license withdrawals. Many of the failed banks had significant volumes of retail deposits in their liabilities, thus, transmitting the default burden to the Deposit Insurance Agency and ultimately to the taxpayers. In their attempt to stay in the market banks may try to attract the depositor funds even more intensively when the failure is not far away. The main assumption of this paper is that banks raise additional funds through inflated deposit interest rates – the overstatement strategy – before leaving the market. We use unique data on Russian bank deposit interest rates for deposits of different maturities in 2015–2016 combined with data about bank fundamentals coming from their financial statements. The results suggest that if a bank offers too generous interest rates for deposits for 180-365 days this can be a signal of a significantly higher probability of license withdrawal in 3 quarters. In their attempt to urgently attract funds when moving closer to default banks assign the highest rates for the longest-term deposits, with the maturity over one year. The interest rates higher than the market average dramatically increase the probability of a bank failure in 2 quarters.

This article evaluates the efficiency of current MIF rates for the Russian market and identifies the effects of their changes. In order to estimate the demand of end users and end-user surpluses the study uses the adopted version of the Bedre-Defolie and Calvano (2013) model as well as representative samples of 800 traditional (offline) Russian merchants, 1500 Russian individuals and 7 banks from the top 20 that cover more than 80% of the Russian issuing and acquiring markets and the end-user benefits. Results confirm the efficiency of currently set MIF rates. Comparative statics analysis confirms that the changes in MIF rates never lead to a Pareto improvement, while the total surplus changes are asymmetric across different market parts. The article also shows that once the realistic assumptions are introduced to the models (e.g., information asymmetry, imperfect pass-through of changes) the end-user welfare is distorted more severely as a result of the MIF rates changes. The first-best policy for the Russian regulator and legislators is the use of alternative (non-tariff) stimulating measures for a cashless economy in order to isolate the effect of changes to the intended groups