{"title":"PREDICTING CORPORATE BANKRUPTCIES IN POLAND AND LITHUANIA – COMPARATIVE ANALYSIS","authors":"B. Prusak","doi":"10.13165/IE-17-11-1-02","DOIUrl":"https://doi.org/10.13165/IE-17-11-1-02","url":null,"abstract":"The research on predicting bankruptcies of enterprises constitutes one of the most important areas of financial management. In developed countries, the first publications on the subject appeared in the early 20th century. The situationis different in the countries of Eastern Europe, which introduced the market system already at the beginning of the 1990s, which resulted in first corporate bankruptcies. The article compares experiences in the field of forecasting corporate bankruptcies in two countries of Eastern Europe, i.e. Poland and Lithuania, comparing them with the results of research conducted in developed countries. In conclusion, the similarities and differences between the two countries are identified and the future directions of research on this issue are proposed.","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66262160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EVALUATION OF FLUCTUATIONS IN THE STANDARD & POOR’S 500 SECTORAL INDEX PRICES","authors":"Aleksejus Sosidko, Ligita Gasparėnienė","doi":"10.13165/IE-17-11-1-01","DOIUrl":"https://doi.org/10.13165/IE-17-11-1-01","url":null,"abstract":"This article evaluates fluctuations in the Standard & Poor’s 500 sectoral index prices, taking into account the impact of fundamental macroeconomic stock price determinants assessed by individual expectation categories. Models for stock price prognostication have also been developed and verified. In this research, fluctuations in the Standard & Poor’s 500 sectoral index prices are evaluated, taking into account each fundamental macroeconomic determinant and a separate expectation category. This research has enabled the identification of indices with high price fluctuations. Statistically reliable prognostication models have been empirically verified, and the most reliable prognostication models for indicating rise or declines in index prices have been identified.","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66262125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"External costs of traffic accidents on Slovenian roads","authors":"Marina Zanne, P. Bajec","doi":"10.13165/IE-17-11-1-03","DOIUrl":"https://doi.org/10.13165/IE-17-11-1-03","url":null,"abstract":"Traffic safety can be viewed from different perspectives. In this study, we assess traffic safety in Slovenia from the point of view of costs. Slovenia is a small country at a crossroads of important European routes that provides good developmental possibilities, but at the same time faces potential threats to traffic safety because the inland infrastructure does not seem ready to accommodate the increasingly high traffic flows. We have created a time series for several traffic safety and workload indicators, and have analysed them using simple descriptive statistics. We have then provided an assessment of the costs arising from road accidents. We discovered that despite a large improvement in traffic safety records, it seems that such trends could soon come to an end because of the heterogenisation and growth of traffic flows, as well as the deterioration of national and municipal roads.","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66262167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of electronic customs administration on facilitating the export activities of export companies based in Gilan, Iran","authors":"Hamidreza Alipour Shirsavar , Masumeh Shirinpour","doi":"10.1016/j.intele.2017.03.004","DOIUrl":"10.1016/j.intele.2017.03.004","url":null,"abstract":"<div><p>Sensitivity and importance of exports of goods and services to countries caused to identify the tool and its associated effective factors and strive to development of export. Customs services are important effective factors for the development of exports of goods and services. The current study examines the impact of electronic customs on export of goods and services. The results indicate that identifying new opportunities is effective to reduce transaction costs on export so that the reducing of transaction costs will be caused to creating a competitive advantage and will be developed with increasing in exports competitive advantage of goods and services. Also, the results showed that the reduction of transaction costs impacts on the export development.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.03.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54440322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A modified neural network model for predicting the crude oil price","authors":"Mohammad Reza Mahdiani, Ehsan Khamehchi","doi":"10.1016/j.intele.2017.02.001","DOIUrl":"10.1016/j.intele.2017.02.001","url":null,"abstract":"<div><p>Predicting the crude oil price is very interesting and prominent for all governments and different companies. Here a neutral network model has been modified, in a way that a genetic algorithm optimizes its parameters during its run. This model is able to predict the future price of crude oil very accurately. Comparing the model of this study with the pure neural network in predicting both daily and monthly crude oil prices confirmed its greater performance, especially in situation of small number of input data for training or the great changes of variables.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.02.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54439899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Long run sustainability of current account balance of China and India: New evidence from combined cointegration test","authors":"Manoranjan Sahoo, M. Suresh Babu, Umakant Dash","doi":"10.1016/j.intele.2017.02.002","DOIUrl":"10.1016/j.intele.2017.02.002","url":null,"abstract":"<div><p>This paper investigates the long run sustainability of current account balance (CAB) in two fast growing emerging economies of Asia, China and India, using annual data from 1980 to 2014. Sustainability of current account balance is analyzed by examining the long run equilibrium relationship between exports and imports of goods and services. We use the Bayer-Hanck (2013) combined cointegration test to examine the long run relationship between exports and imports. The results indicate that while China has a sustainable current account balance, India's current account balance is not sustainable in the long run. Therefore, in terms of maintaining the growth momentum, India has to enhance the rate of growth of its exports while China has to maintain high levels of export growth, even in an era of sluggish global demand.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.02.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54439947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Historical context of behavioral economics","authors":"Tansif ur Rehman","doi":"10.1016/j.intele.2017.03.006","DOIUrl":"10.1016/j.intele.2017.03.006","url":null,"abstract":"<div><p>Behavioral economics, at broad level, superimpose many areas including Psychology and Economics. Behavioral economics by all means enhances the explanatory power of Economics as it provides it with a firm and more rational psychological basis. During the previous 20 years, many studies have explored different aspects of behavioral economics leading to introduction of the respective principles that pertain to human behavior. This article intends to provide an introduction to behavioral economics in its historical context. It also investigates the gaps that lie in the broad spectrum of behavioral economics.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.03.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54440415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does monetary policy and private sector credit interact in a developing economy?","authors":"Kalu O. Emenike","doi":"10.1016/j.intele.2017.03.001","DOIUrl":"10.1016/j.intele.2017.03.001","url":null,"abstract":"<div><p>This paper evaluates the nature of relationship between monetary policy and private sector credit as well as the impact of structural break on the relationship by applying a battery of econometric tests on Nigeria data. The cointegrating regression results reveal evidence of long-run relationship between monetary policy and credit to private sector. Estimates from the long-run parameter stability tests support cointegration in the presence of structural breaks. Similarly, error correction model results show that changes in credit have positive and significant short-term effects on changes in monetary policy. The results of innovation accounting also provide support to show that innovations in credit have impact on monetary policy. Granger causality analysis exhibits unidirectional causality from credit to monetary policy. The key implication of the findings is that credit to the private sector is an effective channel for monetary policy transmission in Nigeria. It is recommended therefore that monetary authorities in developing countries should consider credit as a major channel for implementing monetary policies.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.03.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54440178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Practical application of CSR complex evaluation system","authors":"Indrė Slapikaitė","doi":"10.1016/j.intele.2017.03.002","DOIUrl":"10.1016/j.intele.2017.03.002","url":null,"abstract":"<div><p>When the things go towards CSR, measuring and evaluating have became one of the key goals for researchers and practitioners. Especially when it is linked to the funders point of view – while funding the companies it became certainly important to practically assess the level of the company's CSR. Therefore, in this paper the multiple criteria decision making (MCDM) methods are suggested and used as the most appropriate tool for solving different kinds of economics and social problems. While using AHP method, a CSR complex evaluation system is formed practically with prioritizing the most important CSR criteria from the funders point of view. Then the rest of the MCDM methods (SAW, TOPSIS, VIKOR and SoR) are used for the comparison of some real companies' CSR level. Finally the compatibility level of the methods is checked, in order to minimize the influence of each MCDM method to the final results.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.03.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54440208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ligita Gasparėnienė , Rita Remeikienė , Markku Heikkila
{"title":"Evaluation of the impact of shadow economy determinants: Ukrainian case","authors":"Ligita Gasparėnienė , Rita Remeikienė , Markku Heikkila","doi":"10.1016/j.intele.2017.03.003","DOIUrl":"10.1016/j.intele.2017.03.003","url":null,"abstract":"<div><p>This article is aimed at evaluation of the impact of shadow economy determinants on the scope of shadow economy in Ukraine over 2005 – 2012. The empirical research has revealed that 99 percent of shadow economy in Ukraine is explained by such determinants as tax rate, overall employment rate, import of goods and services, GDP and participation of working-age people in the labour market. The growth of the overall employment rate has a bidirectional impact on the scope of shadow economy in Ukraine: hired work increases the opportunities to earn legal wages, but probability of paying illegal wages is still high.</p></div>","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.intele.2017.03.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54440294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}