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Everywhere in the world tax revenues are rolled back for the commonwealth to invest and finance goods and public services, such as: infrastructure, health, security and education. The predict income revenue (taxes) is one of the challenges that the Secretariat of the Federal Revenue of Brazil (RFB for its Portuguese acronym) has. This is an important challenge since the obtained information is valuable...
In a competitive market one of the key tasks of an industrial enterprise is to form and implement a development strategy. The purpose of this study is to formulate, justify and evaluate the financial and investment development strategy of an enterprise, to make its financial and economic forecast for a six-year period taking into account the selection and implementation of a major investment project...
The most significant issue in the recent times in finance is finding the systematic ways to abridge and envision the stock market data. Stock market analysis gives useful information to Entrepreneurs, Individuals and Institutions about the etiquette of the market helping with speculation decisions. Many prediction models have been developed during the last decade. As a comparative study, we will be...
Many recent studies on finance and social networks discovered that investor's attention is correlated to the financial market movement in terms of the price shocks. Following related findings, a significant and challenging problem is to forecast the direction of the market movement based on vast social media activities. Appropriately processing social networks data and developing models to capture...
The fraudulent financial statement of a company is becoming serious over the last few years, so, finding a valid forecasting fraudulent financial statement model is an urgent work for academic research and financial practice. The UTilities Additives DIScriminants (UTADIS) classification method is an effective approach to classify some data into different groups. Therefore, based on UTADIS method,...
This paper proposes a stock market prediction method exploiting sentiment analysis using financial microblogs (Sina Weibo). We analyze the microblog texts to find the financial sentiments, then combine the sentiments and the historical data of the Shanghai Composite Index (SH000001) to predict the stock market movements. Our framework includes three modules: Microblog Filter (MF), Sentiment Analysis...
EVA, as a performance assessment or evaluation in the enterprise (or departments), is more and more widely used. Right now, EVA is gradually being applied to the field of business valuation. However, the existing EVA evaluation model is obviously insufficient, especially not accurately reflects the impact of the profit and loss forecast for each year of the enterprise value of existence. In this paper,...
Recently, establishment and maintenance of the tax assessment indicators system is still in the stage of manual operation. The accuracy of tax assessment depends on the officials' judgment and analysis which bring them huge amount of work. Furthermore, the evaluation results are affected by manual factors and not reliable. To improve tax assessment, this paper proposes a tax assessment model based...
Small, Micro and Medium-sized Enterprises (SMMEs) contribute to the national economy significantly. However, many SMMEs have difficulties in accessing bank finance due to the lower level of their human capital and scarce financial resources in the context of developing economies. This study aims to investigate the key factors of human capital and associated issues with access to bank finance from...
Long-term investors are interested in identifying the characteristics of companies that are likely to triple in value over the next five years, which equates to return of approximately 25 percent per year over the period. Such companies are known as compounders due to their high compounded rate of return. This paper reports on an analysis of corporate and market data undertaken with the goal of identifying...
The guest editors of this special issue on predictive analytics discuss how they split submissions between macro and micro levels, with the March/April installment covering the macro scale and May/June covering micro. All three articles are nice exemplars of predictive analytics, encompassing novel insights, key nuances, rigorous analytical methods, large-scale experimentation, and interesting findings...
Recent innovations in text mining facilitate the use of novel data for sentiment analysis related to financial markets, and promise new approaches to the field of behavioural finance. Traditionally, text mining has allowed a near-real time analysis of available news feeds. The recent dissemination of web 2.0 has seen a drastic increase of user participation, providing comments on websites, social...
E-commerce has rapid growth in the last two decades due to the development of information technologies, mobile network services and application of big data. Nowadays, e-commerce has reached a stage in which e-businesses are far beyond the online trading of buy-pay-deliver, but covers a much broader spectrum of line business activities, such as financing, which indicates that e-commerce has been transited...
This paper provides further evidence on the predictive power of online community traffic with regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we train a classifier using a set of features entirely extracted from web-traffic data of financial online communities. The classifier is shown to outperform the predictive power of a baseline...
The purpose of this paper is to propose and validate the combined model for bankruptcy prediction for the Malaysian firms. This combined model is adopted from previous studies by combining Ohlson logit model, Springate-Canadian model and macroeconomic factors. The proposed combined model is developed by using the financial and macroeconomic constructs. The result indicates that logistic regression...
Electronic tax filing system or e-filing was introduced in Malaysia in 2006. It is one of the e-government applications that has the potential in ensuring the tax collection process efficiently. However, there are many excuses given by the taxpayers for not using the e-filing service provided by the government. Hence, taxpayer behavior really affects revenue collection for the country. The research...
As the rapid development of Internet technology, the influence to the financial fields of the financial information on the Web has become increasingly can not be ignored. Facing mass unstructured Web text about financial information, the paper present a method to calculate the tendency of text, and analysis the relationship between the emotional tendencies of Web financial information and the financial...
this paper extends the dividend catering theory raised by Baker and Wurgler(2004) and predicts that expected dividend per share is negatively related to those factors below: the information ratio about dividend cost??Athe percentage of stock ownership, as well as the premiums of tax??A risk??A investment. Besides, in another extension of basic model, we incorporate overconfident psychology bias to...
This paper attempts to reveal the predictability of candlestick analysis to future price and volatility. We find that high and low price series are more sensitive to price volatility than close prices. Difference of high and low price series is more effective to forecast volatility. More importantly, we find that there exists cointegration relationship among high, low and close price series. In the...
This paper does the empirical research on the relevance of ownership structure and financial distress in listed companies based on the data of ST corporations because of abnormal financial positions in year 2005–2009 and the paired corporations. The ownership structure is described by the nature of controlling shareholder, ownership centralization, ownership balancing and managements' holding percentage...
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