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In this paper, we propose a method that extracts information from sequences of financial ratios and investigate the usefulness of this information for bankruptcy prediction, which constitutes an important class of financial services. We use the annual financial reports available from an external financial information services provider to extract predictors based on the Markov for Discrimination (MFD)...
Open source software projects (OSS) receive a large number of bug reports from various contributors and developers alike, where many planned to be fixed by OSS developers. Given the next release cycle information, OSS users can be more effective and flexible in planning and to fix the bugs that are not to be fixed in the next release. It is therefore vital for OSS users to learn which bugs the OSS...
With the gradually subsided of economic crisis, China's fast moving consumer goods industry has present slow growth trend. But its market share is still not high. According to the characteristics of China's fast moving consumer goods industry, it is necessary to carry out the strategic transformation at this stage. This article departure from the beer industry, a particular fast moving consumer goods...
This study aims to discuss the effects of individual emotion and corporative environment on technology transfer, and explores corporative environment moderating effects between emotion and technology transfer. Corporative environment includes interpersonal relationship and social relationship; technology transfer includes explorative organizational learning and knowledge sharing. To predict individual-...
The extensive growth of installed wind energy plants in Denmark leads to increasing balancing problems in the power grid due to the nature of wind fields and variations in consumption. One way to overcome these problems is to move consumption to times where wind power otherwise cause overproduction. A part of a solution can be to take advantage of floor heat capacity in single-family houses using...
The subjects of the study are listed petrochemical companies in China. We regard ST as a symbol of financial crisis for an enterprise. T-test and relevant linear test are applied to determine the model variables and Logistic regression to build the forecasting model of financial crisis, then the data of ST enterprise samples and non-ST enterprise samples are used for analysis. With the forecasting...
Since free cash flow has been widely employed in financial consultation, credit rating and other businesses in western countries, its financial functions have been recognized by more and more scholars. Compared with profit and net operating cash flow, free cash flow has the advantages of zero risk, excellent practicality, and comprehensive information. In this paper, the author intends to, on the...
Corporation financial distress has been an important issue for study in the financial fields. This paper uses traditional BP neural network model and proposes PNN model to predicate financial distress. The sample consists of 276 companies listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange over the period 2001–2010. Factor analysis is used to lower correlation and reduce dimensionality...
The use of financial model is to predict the performance of a company. This paper presents the development of the model for IBS construction companies in predicting the business performance based on historical financial data. The development of the financial model is based on selected financial ratios obtained from the financial statements gathered from thirty (30) IBS companies in Selangor, Malaysia...
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...
Manage the evolution in Software Product Lines (SPL) can bring some benefits such as keep the trace ability between assets in core assets and products, avoid some irregular growth or decrease before it becomes a threat to the system, and also use the products feedback to improve the core asset quality. In order to understand the evolution in SPL, this paper presents an empirical study to investigate...
This research made an early investigation on firm failure prediction (FFP) in hospitality industry of China using support vector machine (SVM) and classical statistical models, and an early comparison on difference of identified significant variables in FFPs for developed and developing countries. The findings indicate that: (a) working capital turnover, equity turnover, ratio of owners' equity, equity...
Fraud in public companies has a large financialimpact, and yet is only weakly detected by those who look for it, many incidents have been detected only when whistleblowers have come forward. We examine the problem of detecting fraud from the textual component of the quarterly and annual reports that public companies are required to file. Using an empirically derived set of words, we achieve prediction...
Data concerning of the IC work in process (WIP) can be classified into paired and unpaired, according to whether the corresponding input and output times of the WIP are correlated with each other. To handle these different classes of data, this study presents a production output forecast scheme that can predict the distributions in the next-period and simulate the production outputs of a semiconductor...
The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial statements have been proposed. This paper uses SOM neural network technology to quantitatively classify the financial distress prediction indexes in Sinopec Corp. and its subsidiaries,...
OBJECTIVE -- The objective of this paper is to describe a case study where Bayesian Networks (BNs) were used to construct an expert-based Web effort model. METHOD -- We built a single-company BN model solely elicited from expert knowledge, where the domain expert was an experienced Web project manager from a small Web company in Auckland, New Zealand. This model was validated using data from 22 past...
Needs for adequate long-term planning in the execution of energy generation to meet growing demand leads to intense regulation on energy distributors. A research was realized by a Brazilian distribution company to identify the consumption prediction methods, the nature of the decision process and their specific interaction scheme. Were initially identified the models already used by other distribution...
This paper has been written to identify the needs and competencies required for new graduate student intake in a small company dedicated to the design and build of process control systems for a variety of applications in a diverse range of industries. While emphasis has been placed on core technical competencies such as IT (Information Technology), electronics, control techniques, industrial process...
The development of business failure prediction system to prevent the significant loss of social costs caused by the companies' unexpected bankruptcy is a popular investigation issue. Because of the constraint on the statistic assumptions, the forecasting models established by traditional statistic methods have some limits in its identity. Therefore, in recent years various algorithms imitating of...
The study suggests an algorithm, which forecasts cash flow in a planning stage to manage a liquidity crisis effectively. The algorithm involves calculation of optimal cash level considering time lag, item costs, and weight of items for construction projects. It also suggests a forecast of cash flow after a comparison of cash-in and cash-out with the simulation of billing time lag according to the...
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