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80 articles for “Forecasting Models”
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Research ArticleOpen accessIn the abstractModeling and Forecasting Volatility of the Malaysian Stock MarketsAhmed Shamiri, Zaidi IsaProblem statement: One of the main purposes of modeling variance is forecasting, which is crucial in many areas of finance. Despite the burgeoning interest in and evaluation of volatility forecasts, a clear consensus on witch volatility model/or distribution specification to use has not yet been reached. Therefore, the out of-sample forecasting ability should be a natural model selection criterion for … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Foreign Direct Investment Inflow in Jordan: Univariate ARIMA ModelAl-Abdulrazag Bashier, Bataineh TalalThe present study is an attempt to build a Univariate time series model to forecast the FDI inflows into Jordan over the coming period 2004-2025. The study employs Box-Jenkins methodology of building ARIMA (Autoregressive Integrated Moving Average) model to achieve the goals of the study. An annual sample time series data for the FDI in Jordan was utilized over the … …Journal of Social Sciences, Vol. 3, Issue 1 · 31 Mar 2007 · 8,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractVAR-models for Predicting BiodiversityTonio D. Bettista, S. A. Gattone, Mariagrzia GranturcoThe aim of this work is to introduce a methodology for monitoring diversity of a biological population by using the tool of diversity profiles. In particular, we develop a theory for studying the diversity profile along the temporal axis. We propose forecasting techniques for diversity profile by using the VAR model on multivariate time series of abundance vector and ARMA … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,177 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computable General Equilibrium Model of Southern Region in Taiwan: The Impact of the Tainan Science-Based Industrial ParkChun-Chu Liu, Chia-Yon ChenThe primary modeling tools used to analyze regional economic issues include econometric forecasting models, fixed price Input-Output (I-O) multi-sector models, Social Accounting Matrix (SAM) and Computable General Equilibrium (CGE) models. CGE models combine the advantages of econometric, I-O models and SAM strengthening the theoretical basis of the modeling effort and thus enabling more precise policy analysis. The current CGE literature … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractA new Framework of Strategic Human Resource Management (SHRM) Based on Quantitative and Qualitative DataRachid Belhaj, Mohamed TkiouatStrategic Human Resource Management (SHRM) is a new concept followed especially in private sector; it is an approach to managing human resource that supports long-term business goals, it tries to enhance the management of HR to a strategic level through human capital. The purpose of this paper is to shed light on the main concepts used in the strategic human … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 14 Feb 2017 · 10,225 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecast and Performance of Wind TurbinesT. Ahilan, S. Arumugham, R. Suja ManimalarProblem statement: Wind energy industry is a nonprofit organization that works hands-on with local and community based wind projects, providing technical support to create an understanding of wind energy opportunities for rural economic benefit. This study provides a detailed vision of the global wind power market and the Indian wind market in particular. It also helps in analyzing and forecasting … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 2 Dec 2011 · 7,913 accessesView PDFCite