Download or read book Forecasting Models for Hong Kong s Consumer Price Index written by Ka-Lin Karen Chan and published by . This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Forecasting Models for Hong Kong's Consumer Price Index" by Ka-lin, Karen, Chan, 陳家蓮, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3197725 Subjects: Consumer price indexes - China - Hong Kong - Forecosting Price indexes Cost and standard of living - Statistics

Download or read book Forecasting Models for Hong Kong s Consumer Price Index written by Ka-lin Chan (Karen) and published by . This book was released on 1993 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Revision of the Forecasting Model for the Consumer Price Index for Food written by A. Pierre Cloutier and published by . This book was released on 1983 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Macroeconomic Forecasts for the Republic of China Hong Kong and the Republic of Korea written by John Malcolm Dowling and published by . This book was released on 1983 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Semiparametric Forecasting Approach for Predicting the Consumer Price Index written by Haichuan Xu and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past year, we have witnessed that the U.S. inflation rate hit the highest peak in over 40 years and is still close to its multi-decade high now. The overall change in consumer prices has a significant impact on the nation's economic activity, product manufacturing, consumer behavior, and stock market. In this work, I develop a semiparametric forecasting approach using factor models with a large number of macroeconomic or financial time series predictors. The proposed method deals with the complex temporal and cross-sectional dependence of macroeconomic or financial time series predictors. Also, the proposed method does not need the prior knowledge of forecasting directions and forecasting function. I will examine the performance of the proposed method in simulation studies and a real-world application for predicting the consumer price index.

Download or read book Forecasting Peaks in the Consumer Price Index written by Marjorie Schnader and published by . This book was released on 1974 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Real Estate Modelling and Forecasting written by Chris Brooks and published by Cambridge University Press. This book was released on 2010-04-15 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Download or read book Tourism Forecasting and Marketing written by Kevin Wong and published by Routledge. This book was released on 2012-10-12 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stay up to date with the most effective practices in tourism demand forecasting! Tourism Forecasting and Marketing presents vital, up-to-date research on the latest practice and applications of tourism demand modeling and forecasting. The book addresses both econometric and time series approaches to forecasting, focusing on the concepts, model specification, data analysis, and methodologies used in day-to-day tourism planning. An international panel of practitioners and academics call on a diverse range of empirical research findings to discuss commonly used theoretical frameworks for forecasting and future directions tourism demand is likely to take. Tourism Forecasting and Marketing presents research findings from the United States, the United Kingdom, Asia, and Australia that are invaluable for guiding government and private sector tourism investment and development decisions. The book addresses traditional versus modern forecasting techniques; evaluations of current and past forecasting methods; modeling and forecasting destination choice; and the impact of forecasting and marketing on tourism demand. Topics include: using time series models to forecast inbound tourism demand for China and Greece determining the economic factors that influence tourism demand in Hong Kong, Indonesia, and Malaysia examining domestic travel expenditures in South Korea developing a model to forecast ski tourism using the Palmore cohort analysis for tourism forecasting and much more! Tourism Forecasting and Marketing is an important textbook for educators and students working in tourism policy planning and management, and tourism marketing. The book is equally effective as a reference for travel and tourism researchers, and for professionals dealing with tourism demand analysis and forecasting.

Download or read book Econometric Models of Asian Pacific Countries written by Shinichi Ichimura and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a sequel to our first report of ASIAN LINK PROJECT in 1985: Econometric Models of Asian LINK, Springer-Verlag, Tokyo - Berlin - New York. Now the scope is expanded to Asian-Pacific Countries in coverage, so that this monograph presents the econometric models of Japan, the United States, Canada, China, Korea, Taiwan, Hong Kong, Thailand, the Philippines, Malaysia, Singa pore, Indonesia, Australia and the European Community. We are particularly happy to have included the excellent models of Australia and Canada whose economies are essential parts of the Asian-Pacific Economic Community. Most of those models were presented at the Workshop of Asian Link Project held in Bandung, Indonesia at the time of the Second Convention of the East Asian Eco nomic Association, 1990. Those models have been up-dated since then, and several other important models were added. Unlike our previous book, we have not tried here to link these national models as a regional or global model in any way, ex cept for the model by S. Kinoshita which offers a regional linkage for Pacific-basin economies by linking the US, Japan, Canada, the European Community coun tries as a group, Asian NIEs (Korea, Hong Kong, Taiwan), ASEAN (Indonesia, Malaysia, the Philippines, Singapore) and East Asian economies. As we argued in our previous publication, we tried to publish these econometric models again with the statistical data as much as we could, so as to enable the reader examine the estimation and performance of the models by himself.

Download or read book The Making of National Economic Forecasts written by Lawrence Robert Klein and published by Edward Elgar Publishing. This book was released on 2009-01-01 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.

Download or read book Econometric Modeling of China written by Lawrence Robert Klein and published by World Scientific. This book was released on 2000 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the very first book to offer seven substantial econometric models of the Chinese economy with the statistical data used, so that the reader will be able to reproduce them all and test them for any policy alternatives.The book presents up-to-date models produced both inside and outside China, so that readers can understand most of the advanced studies of the Chinese economy by Chinese experts at the present time. This is an invaluable reference for graduate students and scholars working on Chinese economic problems.

Download or read book Sama Circular Model SCM and ARIMA on Forecasting Consumer Price Index of India written by W. G. Samanthi Konarasinghe and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Consumer Price Index ...

Download or read book Evaluating GDP Forecasting Models for Korea written by Li Zeng and published by International Monetary Fund. This book was released on 2011-03-01 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a new forecasting framework for GDP growth in Korea to complement and further enhance existing forecasting approaches. First, a range of forecast models, including indicator- and pure time-series models, are evaluated for their forecasting performance. Based on the evaluation results, a new forecasting framework is developed for GDP projections. The framework also generates a data-driven reference band for the projections, and is therefore convenient to update. The framework is applied to the current World Economic Outlook (WEO) forecast period and the Great Recession to compare its performance to past projections. Results show that the performance of the new framework often improves the forecasts, especially at quarterly frequency, and the forecasting exercise will be better informed by cross-checking with the new data-driven framework projections.

Download or read book Forecasting Consumer Price Indexes for Food written by Kuo S. Huang and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Techniques for IoT Applications written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-08-02 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

Download or read book Econometric Modelling and Forecasting of Tourism Demand written by Doris Chenguang Wu and published by Taylor & Francis. This book was released on 2022-10-27 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting. Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting. Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.

Download or read book Economic Modeling Using Artificial Intelligence Methods written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2013-04-02 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.