Neurocomputing 55 (2003) 307 – 319 www.elsevier.com/locate/neucom Financial time series forecasting using support vector machines Kyoung-jae Kim∗ Department of Information Systems‚ College of Business Administration‚ Dongguk University‚ 3-26‚ Pil-dong‚ Chung-gu‚ Seoul 100715‚ South Korea Received 28 February 2002; accepted 13 March 2003 Abstract Support vector machines (SVMs) are promising methods for the prediction of ÿnancial timeseries because they use a risk function consisting of the
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1452-1519) The purpose of this essay is to evaluate the success of the EU Water Framework Directive 2000/60/EC (WFD) to date and if this success is likely to continue or if it will improve and be more successful in the future. The WFD officially titled; Directive of the European Parliament and of the Council establishing a framework for Community action in the field of water policy (2000/60/EC)‚ was introduced in late 2000 with the purpose of improving water quality in Europe and to unify existing
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Thesis Concept Paper Proposed Title: ‘Modelling and Forecasting Electricity Consumption of the Philippines’ Researcher: Alejon P. Padriganda Degree Program: Bachelor of Science in Applied Mathematics Adviser: Dennis A. Tarepe Ph.D Introduction Backgorund of the Study In the Philippines‚ electric power is becoming the main energy form relied upon in all economic sectors of the country. As time goes by‚ while different establishments and properties were built and developed‚ the demand
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of BUS 307 Week 3 DQ 1 Forecasting Models includes: From Chapter 9‚ answer Discussion Question 1: Which forecasting techniques do you think Ford should have used to forecast changes in the demand‚ supply‚ and price of palladium? Time series models? Causal models? Qualitative models? Justify your answer and respond to at least two of your classmates Business - General Business Forecasting Models . From Chapter 9‚ answer Discussion Question 1: Which forecasting techniques do you think
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Assignment 1 "Making Decisions Based on Demand and Forecasting" Domino’s Pizza is considering entering the marketplace in your community. Conduct research about the demographics of your community‚ for example the population size and average income per household‚ and other independent variables‚ such as price of pizza and price of soda‚ for this assignment. By conducting a demand analysis and forecast for pizza‚ you will be able to make a decision whether Domino’s should establish a presence in
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FORECASTING AT HARD ROCK CAFÉ* MGMT 6130 Spring Quarter 2014 Contents Questions 1 Describe three forecasting applications at Hard Rock. Name other areas in which you think Hard Rock could use forecasting models. The Hard Rock Café uses forecasting models in a variety of areas. These areas include an earnings forecast‚ human resources forecast‚ and a placement forecast. The earnings forecast are present to set a long-term capacity plan. Hard Rock Cafe
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undergoes study of the entire business. Efficient and effective decisions in business are needed to implement every day. The business manager has the responsibility to make decisions for the improvement of the company. To make this be possible‚ forecasting of sales is necessary. Sales forecast is a prediction based on past sales performance and an analysis of expected market conditions (Evetts‚ 1990). It can help the marketer develop marketing strategies such as in territorial set-up‚ target market
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ESM’s responsibilities included accomplishing and balancing the following factors: * forecasting future demand and container usage * managing inventory and tracking the flow of containers * planning distribution capacity * creating the shipping schedule * managing supply chains ESM managers can enhance forecast accuracy by integrating the variable causal factors in the operational forecasting. Collaboration and accurate data collection is a must in current chemical industry for
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In Case C-47/02‚ REFERENCE to the Court under Article 234 EC by the Schleswig-Holsteinisches Oberverwaltungsgericht (Germany) for a preliminary ruling in the proceedings pending before that court between Albert Anker‚ Klaas Ras‚ Albertus Snoek and Bundesrepublik Deutschland‚ represented by the Wasser- und Schiffahrtsdirektion Nord‚ on the interpretation of Article 39(4) EC‚ THE COURT‚ composed of: G.C. Rodríguez Iglesias‚ President‚ J.-P. Puissochet‚ M. Wathelet (Rapporteur)
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1 Forecasting as a Part of Human Resource Planning Choose human resource programs DEMAND FORECASTING Determine organizational objectives Internal programs External programs •Promotion •Recruiting •Transfer •External selection •Career planning Demand forecast for each objective Aggregate demand forecast SUPPLY FORECASTING •Executive exchange •Training •Turnover control Internal supply forecast Does aggregate supply meet aggregate No demand? External supply forecast Aggregate supply
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