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Modelling and Forecasting Financial Data

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic;

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Nonlinear Modelling of High Frequency Financial Time Series

of today's financial markets, daily prices and models based upon low frequency price series data do not provide the level of accuracy required by;

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Continuing Financial Modelling

This book is aimed at those who wish to advance their knowledge and expertise in financial modelling by addressing common problems that;

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A Practical Guide To Forecasting Financial Market Volatility

Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

forecasting. The results of this research show the increased forecasting accuracy when modular models, which integrate conceptual and data-driven;

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Forecasting Financial Markets

frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series;

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Principles of Financial Modelling

full spectrum of financial modelling tools and techniques to provide practical skills grounded in real-world scenarios. Based on rigorously;

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Financial Forecasting, Analysis And Modelling

Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

results of this research show the increased forecasting accuracy when modular models, which integrate conceptual and data-driven models, are;

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Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets, Third Editionassumes that the reader has a firm grounding in the key principles and;

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Real Estate Modelling & Forecasting

book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Practical Financial Modelling

This book is for all financial professionals whose work, to a greater or lesser degree, involves complex spreadsheets and financial models;

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Building the European Capacity in Operational Oceanography

Oceanography Series. The topics of the proceedings cover: Regional Systems I, Remote Sensing Systems, Numerical Modelling and Data Assimilation, Next;

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Economic Forecasting

financial forecasts, and sectoral forecasting. In addition, the book addresses the main issues surrounding the use of forecasts (accuracy;

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Economic Forecasting

financial forecasts, and sectoral forecasting. In addition, the book addresses the main issues surrounding the use of forecasts (accuracy;

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Time Series Analysis and Adjustment

analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such;

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Time Series Analysis and Adjustment

analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such;

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Computational Intelligence Techniques for Trading and Investment

challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The;

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Non-Linear Time Series Models in Empirical Finance

'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.;

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Non-Linear Time Series Models in Empirical Finance

'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.;

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Investment and Financial Forecasting

the risk. This book examines and analyzes the use of data mining techniques and Monte Carlo simulations as a forecasting tool. In order to;

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Credit Scoring Response Modelling and Insurance Rating

Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give;

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Credit Scoring, Response Modelling and Insurance Rating

Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give;

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Forecasting in Financial and Sports Gambling Markets

that utilize actual data, the book addresses various topics that promote financial and mathematical literacy, including: * Higher order ARMA;

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