<abstract xmlns="http://www.w3.org/1999/xhtml">

Fraud presents a serious problem and arising issue for all of society at national and global levels. According to global fraud research conducted by the Association of Certified Fraud Examiners, it is estimated that the average company loses about 5% of its annual revenue due to different types of business fraud. Total estimated annual fraud losses according to global ACFE research reaches about 4.7 trillion dollars. Business frauds also present an important issue for the Croatian economy, business community and society as a whole. Thereby, considerable attention should be given to this issue with the aim of raising awareness throughout society on fraud and its negative and destructive impact on all of society. The main purpose of this paper is to examine differences in fraud characteristics between state-owned and private companies in the Republic of Croatia. Research was based on data on business frauds obtained by the Association of Certified Fraud Examiners Croatia which included 124 respondents. Data were related to frauds that occurred in Croatian companies in 2021 and 2020. In this paper we focused on fraud characteristics such as fraud loss, type of fraud, fraud duration and methods of fraud detection in order to determine whether fraud in privately owned companies differs significantly from fraud in state-owned companies. Research results revealed how differences in fraud characteristics among privately and state-owned companies exist. Based on a sample of Croatian companies that were victims of fraud, it is noted how fraud in state-owned companies lasts longer and creates greater loses in comparison to fraud in private owned companies. Moreover, data related to estimated fraud loss and fraud duration were statistically significant in terms of differentiating these two groups of companies. Based on data on discriminatory variables a logistic regression model correctly classified 78.46% of companies in the group of companies that are privately or state-owned.
</abstract>

Differences in business fraud between state-owned and private companies: case of Croatia

<abstract xmlns="http://www.w3.org/1999/xhtml">

The attempt of this paper is to find an empirical relationship between Foreign Direct Investment and New Firms (Paid up Capital) and Gross Capital Formation (proxy for business growth) and Credit to Commercial Sector and Gross Capital Formation using the test of stationarity (ADF, PP, and KPSS methods), Johansen Cointegration and Granger’s Causality. The results show that FDI crowds out creation of new firms and capital formation and it is the Credit flow to the commercial sector that causes Gross Capital Formation at current price. It shows domestic flow of credit is more influential in capital formation rather than foreign capital inflow.
</abstract>

Domestic capital vs. foreign capital new enterprise creation: the case of FDI in India

<abstract xmlns="http://www.w3.org/1999/xhtml">

The study aims to investigate the corporate dividend policy decisions in emerging countries during the COVID-19 pandemic. Our sample consists of 5,869 publicly listed firms from 29 emerging countries to explicate the observed trends in dividend policy during the pandemic. Logistic regressions are used to investigate the main factors that drive the propensity to change dividend payouts. Our analysis reveals that most firms opted to either increase or decrease their dividends, with a minority proportion deciding to maintain dividends. Notably, our findings demonstrate that firm profitability is the main driver of all types of dividend changes, except when firms opt to maintain or decrease dividends. Moreover, we find that when firms reduce dividends by over 70%, profitability emerges as a crucial determinant, thus bolstering the signaling hypothesis. The results are robust to sample size sensitivity and different levels of dividend changes. The findings of the study might have practical implications for corporate managers and policymakers in designing dividend decisions and policies under uncertain conditions. This research underscores the impact of the COVID-19 pandemic on corporate dividend policy in emerging countries and emphasizes the need to consider the level of dividend changes in exploring the dividend puzzle.
</abstract>

How COVID-19 Affected Corporate Dividend Decisions: Novel Evidence from Emerging Countries

<abstract xmlns="http://www.w3.org/1999/xhtml">

Colour symbolism plays an important role in everyday life and science. The subject is interdisciplinary and receives significant attention in the literature. It is increasingly entering the field of economics and finance. The authors are the first to research the connotations and symbolism of colours in finance. The following research aims to: identify and determine the meaning of colours in connection with the word “finance”, determine the popularity of the use of particular colours in relation to the word “finance”, and identify the most popular subject areas in the literature related to the most commonly used colour in finance. Bibliometric and textual analyses were adopted as research methods. The main research conclusions are as follows. Of the 14 colours examined, only green, blue, brown, black and white showed connotations accurately portrayed in the text. Apart from the colour black, the symbolism is universal and unambiguous. For black, the symbolism is twofold, with one of the meanings going back to historical times. The dominant colour is green. The main research areas pursued under “green finance” include investing in and financing environmentally friendly projects (including various types of technology), developing financial instruments to support environmentally friendly activities and supporting clean energy projects.
</abstract>

Colour Symbolism in Finance

<abstract xmlns="http://www.w3.org/1999/xhtml">

Efficiency of education expenditure is the ability to maximize the educational achievement given the resources invested. Although public education expenditure tends to increase, yet this does not necessarily guarantee high quality of education services. This study aims to assess public education expenditure efficiency of Lithuanian municipalities and to identify the factors explaining its variations. The study used data for 2013-2019 from 60 Lithuanian municipalities. Corrected Ordinary Least Squares method was employed for public education expenditure efficiency assessment and regression analysis was used to determine its influencing factors. Inputs included financial (public expenditure for education and maintenance) and nonfinancial (composition of teachers, occupied area, etc.) variables. Passing ratio of Lithuanian (national) language and math exams were used as efficiency outputs. The context variables represented environmental factors of educational achievements, such as number of business entities, users of social housing, libraries, and culture centres as well as municipalities’ overall financial autonomy. Results of the research are ambiguous. When assessed by the overall passing of the exams, the efficiency was high, scoring 86-90%. But when evaluated by passing exams with the highest scores, it did not even reach 40%. Two types of public expenditure were identified as the most influential factors - public expenditure for education with the negative trend, and municipality own financing with the positive influence on the public education expenditure efficiency. Such results support the decentralization of public education expenditure management and call for alternative output measures in the Lithuanian public education system.
</abstract>

St. Ignatius of Loyola University of Applied Sciences

Assessment of public education expenditure efficiency across Lithuanian municipalities

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study examines the prerequisites and challenges faced by local and foreign commercial banks in Türkiye in supporting green business initiatives. This study uses backward logistic regression analysis to identify variables affecting green financing practices using annual data from Turkish deposit banks from 2012 to 2021. This study addresses the growing interest in understanding the role of commercial banks in promoting green finance and contributes to the existing literature by revealing the current efforts of Turkish commercial banks in this area. The main findings show that factors influencing green financing practices are derivative financial assets, loans, tangible assets, equity capital, company size, female representation on boards, presence of audit committees and company experience. The study highlights the relationship between these factors and green financing methods adopted by depository banks. It is worth noting that the assets of these banks were built within the framework of green financing and practices such as green buildings, green loans and green bonds were introduced. In addition, the size and experience of custodian banks help influence their green financing practices. The findings provide a framework for policy makers, practitioners and academics who wish to gain a deeper understanding of the dynamics of Turkish financial institutions and green finance.
</abstract>

University Faculty of Economics and Administrative Sciences

The determinants of green finance and effect on the banking sector

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study aims to predict the ESG (environmental, social, and governance) return volatility based on ESG index data from 26 October 2017 and 31 March 2023 in the case of India. In this study, we utilized GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and LSTM (Long Short-Term Memory) models for forecasting the return of ESG volatility and to evaluate the model’s suitability for prediction. The study’s findings demonstrate the GARCH effect inside the ESG return volatility data, indicating the occurrence of volatility in response to market fluctuations. This study provides insight concerning the suitability of models for volatility predictions. Moreover, based on the analysis of the return volatility of the ESG index, the GARCH model is more appropriate than the LSTM model.
</abstract>

ESG Volatility Prediction Using GARCH and LSTM Models

<abstract xmlns="http://www.w3.org/1999/xhtml">

The significance of digital investment has grown substantially, enabled by advancing technology, which provides digital monitoring of investment instruments. Consequently, analyzing these instruments has become imperative. In particular, investors are inclined to compare new investment opportunities with well-established global stock markets, seeking to capitalize on their advanced financial literacy. This study aims to employ econometric analysis to explore the dynamic relationship between Bitcoin and the BIST100 and NASDAQ 100 indices. The time frame for this investigation spans from January 1, 2017, to March 10, 2022. Stationarity was confirmed through unit root tests (ADF, PP, KPSS, ZA, FADF, and FFFFF ADF) for the subsequent utilization of Autoregressive Conditional Variance Models. Additionally, Generalized Autoregressive Conditional Variance and Dynamic Conditional Correlation Tests were conducted. Results from the Dynamic Conditional Correlation Test model revealed no statistically significant dynamic conditional correlation between Bitcoin and BIST 100. Conversely, a negative and significant dynamic conditional correlation emerged between Bitcoin and NASDAQ 100. Investors should not only monitor the market but also review academic studies before making investment decisions. In this regard, this study holds significant importance. The study is limited to the BTC, BIST, and NASDAQ indices. Researchers interested in the topic can increase the dataset to further enrich the study.
</abstract>

The dynamic relationship between BTC with BIST and NASDAQ indices

AHEAD OF PRINT

Volume 20 (2024): Issue 1 (March 2024)

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Volume 16 (2020): Issue 4 (December 2020)

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Volume 15 (2019): Issue 4 (December 2019)

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Volume 14 (2018): Issue 4 (December 2018)

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Volume 13 (2017): Issue 4 (December 2017)

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Volume 12 (2016): Issue 4 (December 2016)

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Volume 11 (2015): Issue 4 (December 2015)

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Volume 11 (2015): Issue 1 (March 2015)

Financial Internet Quarterly

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