Institutional structure formation of the global green finance market

The article studies the strategic directions of the Eurasian Development Bank as an important element of the institutional structure of the global green finance market.The current differentiated global structure of green finance market institutions has been shown, and the substantive focus of organisations at two levels of the institutional structure of this market has been shown. A statistical overview of green finance institutions by country, region, type and financial instruments used has been made. The role of multilateral development banks in the structure of such institutions has been shown. The need for the formation of institutions in the green financial market segment as a necessary element of green finance has been substantiated.The structure of institutions on two levels has been given: 1) subjects – participants of the green bond market; 2) a set of institutions developing and shaping the methodology for green financial instruments assessment, standards, taxonomy, ratings. Using the global green bond market as an example, up-to-date statistics and analysis of the broader composition of issuers of green financial instruments by country, world region, sovereign and corporate participants, and development institutions have been presented. Emphasis has been placed on public issuers and the participation of multilateral development institutions in financing green economy projects in various countries. The experience of Eurasian Economic Union countries in developing green finance has been summarised and the prospects for Russia and Kazakhstan in the green finance movement have been noted.The institutions of the differentiated structure of the global green finance market identified in the study have been grouped into two levels depending on the profile of their participation in the green economy; the directions and tools for the prospective development of the Eurasian Development Bank’s green finance activities have been defined; recommendations for prospective aspects of the methodological and analytical activities of the bank in the context of the Eurasian Development Bank Strategy 2022–2026 have been proposed.The study applied an analysis of scientific literature in the field of institutional theory, green economy and green finance, statistical, comparative, factual analysis, review and analysis of information from official websites of international development institutions, government and corporate entities, international rating agencies included in the architecture of the global green finance market.

العلاقة بين التحفظ والتحوط المحاسبي دراسة تطبيقية في عينة من المصارف العراقية

The research aims to test the relationship between accounting conservatism and hedging in the Iraqi banking sector. The research dealt with a sample of (12) banks listed in the Iraqi Stock Exchange from 2009-2019, with (132) views, and the(unconditional) accounting conservatism was identified. As an independent variable andaccounting hedging as a dependent variable, the (unconditional) accountingconservatism was measured through the market value model to the book, while the accounting hedging was measured as a dummy dust, and the results indicated a statistically significant correlation between accounting conservatism and accounting hedging. orientation of the study sample towards proactive accounting conservatism according to its unconditional scale leads to a reduction in the adoption of accounting hedging tools in managing the risks of financial instruments. The reason for this may be due to the presence of a high level of accounting conservatism that makes the bank safe sort of a lot of dangers. Which contributes to reducing reliance on accounting hedging tools.However, this relationship turns out to be negative, that is, the increasing

Possibilities of Social Bonds Using to Finance Higher Education Institutions

In many countries, funding for higher education institutions is insufficient and requires the search for new financial instruments and financing models. One such financing model could be the issuance of social impact bonds aimed at improving the efficiency of higher education institutions. The study focuses on the use of financial instruments as social bonds for additional funding of higher education institutions. The peculiarities of social bonds and the possibilities of their application in the field of higher education are explored in the paper. The results of the study comprise three proposed innovative approaches to the development of a mechanism for the issuance of bonds. The first approach assumes that the issuer of social bonds in favour of the university is a bank or other financial institution. The second approach is based on the methodology of issuing social bonds by a university with the participation of the state. The third approach to the use of social bonds is the creation of a platform for financing long-term educational programs; it can be done with the participation of a large company implementing large-scale socio-economic projects. Such platform will have a great social and economic effect.

Od dyrektyw w sprawie jakości powietrza do Europejskiego Zielonego Ładu

In Poland, the problem of air pollution has not been given due attention for a long time. As a consequence, Poland is classified as one of the countries with the highest level of air pollution in Europe. Due to the fact that the problem is of a transboundary nature, air quality policy constitutes an important element of the EU’s supranational policy. The aim of the article is to analyze the impact of the EU policy on counteracting the problem of air pollution by Poland and to assess whether the problem can be effectively solved thanks to the implementation of the new growth strategy – the European Green Deal. The research results show that Poland’s membership in the EU has had the greatest impact on the process of building public awareness of the threat posed by air pollution. Despite the generally low effectiveness of the policy pursued so far, the new EU growth strategy (together with the financial instruments supporting its implementation) offers a real opportunity to significantly reduce the level of air pollution in Poland.

Financial risk management in the accounting system

The article is devoted to the study of financial instruments in conditions of economic uncertainty. Based on a study of national and international statistics and theoretical resources related to the restructuring of socio-economic and geopolitical ties, due to the rapid spread of the COVID-19 pandemic, its implications for accounting for financial instruments and disclosure of financial statements in accordance with International Financial Standards Reporting. A combination of factors such as rising unemployment, falling demand for goods, bans and restrictions on doing business, severance of international ties, reorientation of markets to domestic consumption, rising risks of bankruptcy and default have led to the formation of economic uncertainty, which is most threatened by business initiative. Economic uncertainty, which gradually changes from sudden to prolonged, has a direct impact on the business activity of enterprises, in particular, on their financial instruments. The pandemic caused by the COVID-19 virus has become a great challenge for participants in economic relations, who during the years of stability have managed to get used to stable market relations. The pandemic, which humanity has been struggling with for almost two years, has affected the entire system of social relations. At the beginning of the deployment of anti-epidemiological measures, the world economy was not ready to distance the production process. Economic indicators, which are an indicator of the development of individual states, demonstrate the vulnerability of sustainable socio-economic relations that existed before the COVID-19 pandemic. The potential impact of the coronavirus outbreak on financial instruments has been assessed in such areas as increased expected credit losses, modification of financial assets and liabilities, losses under financial guarantee agreements accounted for in accordance with International Financial Reporting Standards, and reduced hedge effectiveness.

Key instruments of state regulation of the industrial sector

The article provides an analysis of financial and non-financial instruments of state regulation of the industrial sector. The studies carried out on the use of support measures by high-tech and innovative enterprises in different sectors of the economy show their high interest in obtaining it. It was revealed that the maximum demand for a state support measure is about twenty-five percent, while on average it does not exceed 10%. The concern is caused by the inability of enterprises to use several support measures at the same time, most often they apply for one measure for a specific investment project. The use of support measures in combination will allow industrial enterprises to effectively implement their strategic plans and form an increasing vector of industry development.

European Union’s Fiscal Rules and New Financial Instruments for 2021- 2017: Bulgaria’s Case Study

Fiscal policymaking of the Member States aims to follow fiscal rules through the economic cycle that ensure macroeconomic sustainability in the European Union (EU). After the 2008 global crisis, the Stability and Growth Pact introduced the enhanced supranational fiscal rules, setting additional boundaries to fiscal deficits and government debt. The new ceiling on the structural deficit in public finance laws of Member States has served to protect creditworthiness. The COVID-19 pandemic, which led to a temporary suspension of the fiscal rules, clearly indicates that the key challenges are to implement a countercyclical policy during upturns, building buffers for bad days. Under the Next Generation Europe’s initiative the European Commission (EC) will borrow up to €750 billion and distribute it over 2021-2024 to Member States (European Commission, 2020a). Raising funds in the EU budget and repayment of the EC debt may lead to amendments to the design and application of the EU fiscal rules. This paper lays out the objectives of the EU current fiscal framework and its main pillars, discusses how the EC new financial instruments for the period 2021-2027 will be accounted for in the Member States’ fiscal framework, and what are its possible changes and challenges after Covid-19 and Brexit.

Financial Instrument Forecast with Artificial Intelligence

In ancient times, trade was carried out by barter. With the use of money and similar means, the concept of financial instruments emerged. Financial instruments are tools and documents used in the economy. Financial instruments can be foreign exchange rates, securities, crypto currency, index and funds. There are many methods used in financial instrument forecast. These methods include technical analysis methods, basic analysis methods, forecasts carried out using variables and formulas, time-series algorithms and artificial intelligence algorithms. Within the scope of this study, the importance of the use of artificial intelligence algorithms in the financial instrument forecast is studied. Since financial instruments are used as a means of investment and trade by all sections of the society, namely individuals, families, institutions, and states, it is highly important to know about their future. Financial instrument forecast can bring about profitability such as increased income welfare, more economical adjustment of maturities, creation of large finances, minimization of risks, spreading of ownership to the grassroots, and more balanced income distribution. Within the scope of this study, financial instrument forecast is carried out by applying a new methods of Long Short Term Memory (LSTM), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), Autoregressive Integrated Moving Average (ARIMA) algorithms and Ensemble Classification Boosting Method. Financial instrument forecast is carried out by creating a network compromising LSTM and RNN algorithm, an LSTM layer, and an RNN output layer. With the ensemble classification boosting method, a new method that gives a more successful result compared to the other algorithm forecast results was applied. At the conclusion of the study, alternative algorithm forecast results were competed against each other and the algorithm that gave the most successful forecast was suggested. The success rate of the forecast results was increased by comparing the results with different time intervals and training data sets. Furthermore, a new method was developed using the ensemble classification boosting method, and this method yielded a more successful result than the most successful algorithm result.

Support Mechanisms for Canada’s Cultural and Creative Sectors during COVID-19

The cultural and creative industries enhance the quality of life for Canadians and visitors to Canada. However, definitions of the sector vary, presenting challenges for researchers and policymakers. Government data shows that the pandemic job and revenue loss were disproportionate in arts. The Canadian government created a range of financial tools (grants and subsidies) to support the sector during the Pandemic. This paper analyzes these financial instruments created in response to the Pandemic. This paper offers a case study on how government can support the economic and social success of the creative and cultural sector (CCS) in Canada and avoid the risk of the cultural ecosystem collapsing. In addition, the key findings may be helpful in other industries and markets when exploring ways to support the cultural and creative sectors, which are vital components of domestic and tourism activity.

The Behaviour of Intelligent Investors at Financial Markets: Insight from Slovenian Investors

Intelligent investors differ from speculative or non-professional investors in the fact that intelligent investors act countercyclically; that is, they act against the trend, or otherwise, they buy when prices have already fallen and sell when their rate of selected investment has already risen. An example of countercyclical behavior can also be explained by the thinking of professional investor Warren Buffett, who points out a simple investment rule: "Be scared when others are greedy, and be greedy when others are scared." Since crypto markets have recently emerged, there is a need for researching the best strategy for investments in their financial instruments. To get an insight into the behavior of Slovenian investors, in-depth interviews were conducted with a sample of financial experts. The article presents tips for the correct responses of intelligent investors in financial markets. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.