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Applied economic forecasting techniques / edited by Stephen G. Hall
| Applied economic forecasting techniques / edited by Stephen G. Hall |
| Pubbl/distr/stampa | New York : Harvester Wheatsheaf, 1994 |
| Descrizione fisica | X, 213 p. ; 24 cm |
| Disciplina | 330.0112 |
| Soggetto non controllato | Previsioni economiche |
| ISBN | 0745013929 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNIPARTHENOPE-000020412 |
| New York : Harvester Wheatsheaf, 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Parthenope | ||
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Applied economic forecasting techniques / edited by Stephen G. Hall
| Applied economic forecasting techniques / edited by Stephen G. Hall |
| Pubbl/distr/stampa | New York [etc.] : Harvester Wheatsheaf, c1994 |
| Descrizione fisica | X, 213 p. ; 24 cm |
| Disciplina | 330.0112 |
| Altri autori (Persone) | Hall, Stephen G. |
| Soggetto topico | Economia - Previsioni |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000419789707536 |
| New York [etc.] : Harvester Wheatsheaf, c1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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A contribution to the empirics of economic and human development / / Sebastian Vollmer
| A contribution to the empirics of economic and human development / / Sebastian Vollmer |
| Autore | Vollmer Sebastian |
| Pubbl/distr/stampa | Bern, : Peter Lang International Academic Publishing Group, 2018 |
| Descrizione fisica | 1 online resource (155 pages) : illustrations, charts; PDF, digital file(s) |
| Disciplina | 330.0112 |
| Collana | Göttinger Studien zur Entwicklungsökonomik/ Gottingen Studies in Development Economics |
| Soggetto topico |
Economic development - Econometric models
Commercial treaties Economic forecasting |
| Soggetto non controllato |
Contribution
Cross-Country Income Distribution Demogracy and Human Development Development Economic Economic Partnership Agreements Empirics Empiricsi Human Likelihood-Ratio-Test for Bimodality Vollmer World Income Distribution |
| ISBN | 3-631-75349-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910297053403321 |
Vollmer Sebastian
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| Bern, : Peter Lang International Academic Publishing Group, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon
| Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon |
| Autore | Moon Mark A. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : DEG Press, , [2018] |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 330.0112 |
| Soggetto topico |
Economic forecasting
Supply and demand - Forecasting |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-5015-0593-9
1-5015-0602-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- About De/G PRESS -- Acknowledgments -- Contents -- Preface to the Second Edition -- Chapter 1. The Case for Business Integration -- Chapter 2. Demand/Supply Integration -- Chapter 3. World-Class Demand/Supply Integration -- Chapter 4. Forecasting as a Management Process -- Chapter 5. Quantitative Forecasting Techniques -- Chapter 6. Qualitative Forecasting -- Chapter 7. Incorporating Market Intelligence into the Forecast -- Chapter 8. Performance Measurement -- Chapter 9. World-Class Demand Forecasting -- Chapter 10. Bringing It Back to Demand/Supply Integration: Managing the Demand Review -- Index |
| Record Nr. | UNINA-9910466398203321 |
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Moon Mark A.
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| Boston ; ; Berlin : , : DEG Press, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon
| Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon |
| Autore | Moon Mark A. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : DEG Press, , [2018] |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 330.0112 |
| Soggetto topico |
Economic forecasting
Supply and demand - Forecasting |
| Soggetto non controllato |
DSI
Demand Forecasting Demand and Supply Integration Forecasting Supply Chain |
| ISBN |
1-5015-0593-9
1-5015-0602-1 |
| Classificazione | QP 505 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- About De/G PRESS -- Acknowledgments -- Contents -- Preface to the Second Edition -- Chapter 1. The Case for Business Integration -- Chapter 2. Demand/Supply Integration -- Chapter 3. World-Class Demand/Supply Integration -- Chapter 4. Forecasting as a Management Process -- Chapter 5. Quantitative Forecasting Techniques -- Chapter 6. Qualitative Forecasting -- Chapter 7. Incorporating Market Intelligence into the Forecast -- Chapter 8. Performance Measurement -- Chapter 9. World-Class Demand Forecasting -- Chapter 10. Bringing It Back to Demand/Supply Integration: Managing the Demand Review -- Index |
| Record Nr. | UNINA-9910796776303321 |
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Moon Mark A.
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| Boston ; ; Berlin : , : DEG Press, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon
| Demand and supply integration : the key to world-class demand forecasting / / Mark A. Moon |
| Autore | Moon Mark A. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Boston ; ; Berlin : , : DEG Press, , [2018] |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 330.0112 |
| Soggetto topico |
Economic forecasting
Supply and demand - Forecasting |
| Soggetto non controllato |
DSI
Demand Forecasting Demand and Supply Integration Forecasting Supply Chain |
| ISBN |
1-5015-0593-9
1-5015-0602-1 |
| Classificazione | QP 505 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- About De/G PRESS -- Acknowledgments -- Contents -- Preface to the Second Edition -- Chapter 1. The Case for Business Integration -- Chapter 2. Demand/Supply Integration -- Chapter 3. World-Class Demand/Supply Integration -- Chapter 4. Forecasting as a Management Process -- Chapter 5. Quantitative Forecasting Techniques -- Chapter 6. Qualitative Forecasting -- Chapter 7. Incorporating Market Intelligence into the Forecast -- Chapter 8. Performance Measurement -- Chapter 9. World-Class Demand Forecasting -- Chapter 10. Bringing It Back to Demand/Supply Integration: Managing the Demand Review -- Index |
| Record Nr. | UNINA-9910812298603321 |
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Moon Mark A.
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| Boston ; ; Berlin : , : DEG Press, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse
| Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 330.0112 |
| Altri autori (Persone) |
MarianoRoberto S
TseYiu Kuen <1952-> |
| Collana | Lecture notes series |
| Soggetto topico |
Econometrics
Finance - Econometric models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-93790-8
9786611937904 981-277-896-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Foreword; Preface; Forecast Uncertainty, its Representation and Evaluation Kenneth F. Wallis; 1. Introduction; 1.1 Motivation; 1.2 Overview; A theoretical illustration; Example; Generalisations; Forecast evaluation; 2. Measuring and reporting forecast uncertainty; 2.1 Model-based measures of forecast uncertainty; The linear regression model; Estimation error in multi-step forecasts; Stochastic simulation in non-linear models; Loss functions; Model uncertainty; 2.2 Empirical measures of forecast uncertainty; 2.3 Reporting forecast uncertainty; Forecast intervals; Density forecasts
Graphical presentationsAdditional examples; 2.4 Forecast scenarios; 2.5 Uncertainty and disagreement in survey forecasts; 3. Evaluating interval and density forecasts; 3.1 Likelihood ratio tests of interval forecasts; 3.2 Chi-squared tests of interval forecasts; 3.3 Extensions to density forecasts; 3.4 The probability integral transformation; 3.5 The inverse normal transformation; 3.6 The Bank of England's inflation forecasts; 3.7 Comparing density forecasts; 4. Conclusion; References The University of Pennsylvania Models for High-Frequency Macroeconomic and Modeling Lawrence R. Klein and Suleyman Ozmucur1. Introduction; 2. The Methodology of the Current Quarter Model (CQM); 3. The Methodology of the Survey Corner8; 4. Conclusion; References; Forecasting Seasonal Time Series Philip Hans Franses; 1. Introduction; 2. Seasonal Time Series; How do seasonal time series look like?; What do we want to forecast?; Why is seasonal adjustment often problematic?; 3. Basic Models; The deterministic seasonality model; Seasonal random walk; Airline model; Basic structural model Conclusion4. Advanced Models; Seasonal unit roots; Testing for seasonal unit roots; Seasonal cointegration; Periodic models; Multivariate representation; Conclusion; 5. Recent Advances; Periodic GARCH; 6. Conclusion; References; Car and Affine Processes Christian Gourieroux; 1. Introduction; 2. Compound Autoregressive Processes and A ne Processes; 2.1. The Gaussian Autoregressive Process; 2.2. Definition of a Car Process; 2.3. Marginal Distribution; 2.4. Nonlinear Prediction Formulas; 2.5. Compounding Interpretation; 2.5.1. Integer Autoregressive Process 2.5.2. Nonnegative Continuous Variables2.6. Continuous Time A ne Processes; 3. Autoregressive Gamma Process; 3.1. Gamma Distribution; 3.1.1. Centered Gamma Distribution; 3.1.2. Noncentered Gamma Distribution; 3.1.3. Change of scale; 3.2. The Autoregressive Gamma Process; 3.3. Nonlinear Prediction Formula; 3.4. Link with the Cox, Ingersoll, Ross Process; 3.5. Extensions; 3.5.1. Autoregressive gamma process of order p; 4. Wishart Autoregressive Process; 4.1. The Outer Product of a Gaussian VAR(1) Process; 4.2. Extension to Stochastic Positive Definite Matrices; 4.3. Conditional Moments 4.4. Continuous Time Analogue |
| Record Nr. | UNINA-9910453193503321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse
| Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 330.0112 |
| Altri autori (Persone) |
MarianoRoberto S
TseYiu Kuen <1952-> |
| Collana | Lecture notes series |
| Soggetto topico |
Econometrics
Finance - Econometric models |
| ISBN |
1-281-93790-8
9786611937904 981-277-896-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Foreword; Preface; Forecast Uncertainty, its Representation and Evaluation Kenneth F. Wallis; 1. Introduction; 1.1 Motivation; 1.2 Overview; A theoretical illustration; Example; Generalisations; Forecast evaluation; 2. Measuring and reporting forecast uncertainty; 2.1 Model-based measures of forecast uncertainty; The linear regression model; Estimation error in multi-step forecasts; Stochastic simulation in non-linear models; Loss functions; Model uncertainty; 2.2 Empirical measures of forecast uncertainty; 2.3 Reporting forecast uncertainty; Forecast intervals; Density forecasts
Graphical presentationsAdditional examples; 2.4 Forecast scenarios; 2.5 Uncertainty and disagreement in survey forecasts; 3. Evaluating interval and density forecasts; 3.1 Likelihood ratio tests of interval forecasts; 3.2 Chi-squared tests of interval forecasts; 3.3 Extensions to density forecasts; 3.4 The probability integral transformation; 3.5 The inverse normal transformation; 3.6 The Bank of England's inflation forecasts; 3.7 Comparing density forecasts; 4. Conclusion; References The University of Pennsylvania Models for High-Frequency Macroeconomic and Modeling Lawrence R. Klein and Suleyman Ozmucur1. Introduction; 2. The Methodology of the Current Quarter Model (CQM); 3. The Methodology of the Survey Corner8; 4. Conclusion; References; Forecasting Seasonal Time Series Philip Hans Franses; 1. Introduction; 2. Seasonal Time Series; How do seasonal time series look like?; What do we want to forecast?; Why is seasonal adjustment often problematic?; 3. Basic Models; The deterministic seasonality model; Seasonal random walk; Airline model; Basic structural model Conclusion4. Advanced Models; Seasonal unit roots; Testing for seasonal unit roots; Seasonal cointegration; Periodic models; Multivariate representation; Conclusion; 5. Recent Advances; Periodic GARCH; 6. Conclusion; References; Car and Affine Processes Christian Gourieroux; 1. Introduction; 2. Compound Autoregressive Processes and A ne Processes; 2.1. The Gaussian Autoregressive Process; 2.2. Definition of a Car Process; 2.3. Marginal Distribution; 2.4. Nonlinear Prediction Formulas; 2.5. Compounding Interpretation; 2.5.1. Integer Autoregressive Process 2.5.2. Nonnegative Continuous Variables2.6. Continuous Time A ne Processes; 3. Autoregressive Gamma Process; 3.1. Gamma Distribution; 3.1.1. Centered Gamma Distribution; 3.1.2. Noncentered Gamma Distribution; 3.1.3. Change of scale; 3.2. The Autoregressive Gamma Process; 3.3. Nonlinear Prediction Formula; 3.4. Link with the Cox, Ingersoll, Ross Process; 3.5. Extensions; 3.5.1. Autoregressive gamma process of order p; 4. Wishart Autoregressive Process; 4.1. The Outer Product of a Gaussian VAR(1) Process; 4.2. Extension to Stochastic Positive Definite Matrices; 4.3. Conditional Moments 4.4. Continuous Time Analogue |
| Record Nr. | UNINA-9910782272503321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse
| Econometric forecasting and high-frequency data analysis [[electronic resource] /] / editors, Roberto S. Mariano, Yiu-Kuen Tse |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 330.0112 |
| Altri autori (Persone) |
MarianoRoberto S
TseYiu Kuen <1952-> |
| Collana | Lecture notes series |
| Soggetto topico |
Econometrics
Finance - Econometric models |
| ISBN |
1-281-93790-8
9786611937904 981-277-896-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Foreword; Preface; Forecast Uncertainty, its Representation and Evaluation Kenneth F. Wallis; 1. Introduction; 1.1 Motivation; 1.2 Overview; A theoretical illustration; Example; Generalisations; Forecast evaluation; 2. Measuring and reporting forecast uncertainty; 2.1 Model-based measures of forecast uncertainty; The linear regression model; Estimation error in multi-step forecasts; Stochastic simulation in non-linear models; Loss functions; Model uncertainty; 2.2 Empirical measures of forecast uncertainty; 2.3 Reporting forecast uncertainty; Forecast intervals; Density forecasts
Graphical presentationsAdditional examples; 2.4 Forecast scenarios; 2.5 Uncertainty and disagreement in survey forecasts; 3. Evaluating interval and density forecasts; 3.1 Likelihood ratio tests of interval forecasts; 3.2 Chi-squared tests of interval forecasts; 3.3 Extensions to density forecasts; 3.4 The probability integral transformation; 3.5 The inverse normal transformation; 3.6 The Bank of England's inflation forecasts; 3.7 Comparing density forecasts; 4. Conclusion; References The University of Pennsylvania Models for High-Frequency Macroeconomic and Modeling Lawrence R. Klein and Suleyman Ozmucur1. Introduction; 2. The Methodology of the Current Quarter Model (CQM); 3. The Methodology of the Survey Corner8; 4. Conclusion; References; Forecasting Seasonal Time Series Philip Hans Franses; 1. Introduction; 2. Seasonal Time Series; How do seasonal time series look like?; What do we want to forecast?; Why is seasonal adjustment often problematic?; 3. Basic Models; The deterministic seasonality model; Seasonal random walk; Airline model; Basic structural model Conclusion4. Advanced Models; Seasonal unit roots; Testing for seasonal unit roots; Seasonal cointegration; Periodic models; Multivariate representation; Conclusion; 5. Recent Advances; Periodic GARCH; 6. Conclusion; References; Car and Affine Processes Christian Gourieroux; 1. Introduction; 2. Compound Autoregressive Processes and A ne Processes; 2.1. The Gaussian Autoregressive Process; 2.2. Definition of a Car Process; 2.3. Marginal Distribution; 2.4. Nonlinear Prediction Formulas; 2.5. Compounding Interpretation; 2.5.1. Integer Autoregressive Process 2.5.2. Nonnegative Continuous Variables2.6. Continuous Time A ne Processes; 3. Autoregressive Gamma Process; 3.1. Gamma Distribution; 3.1.1. Centered Gamma Distribution; 3.1.2. Noncentered Gamma Distribution; 3.1.3. Change of scale; 3.2. The Autoregressive Gamma Process; 3.3. Nonlinear Prediction Formula; 3.4. Link with the Cox, Ingersoll, Ross Process; 3.5. Extensions; 3.5.1. Autoregressive gamma process of order p; 4. Wishart Autoregressive Process; 4.1. The Outer Product of a Gaussian VAR(1) Process; 4.2. Extension to Stochastic Positive Definite Matrices; 4.3. Conditional Moments 4.4. Continuous Time Analogue |
| Record Nr. | UNINA-9910823017903321 |
| Hackensack, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Economic Forecasting and Policy [[electronic resource] /] / by N. Carnot, V. Koen, B. Tissot
| Economic Forecasting and Policy [[electronic resource] /] / by N. Carnot, V. Koen, B. Tissot |
| Autore | Carnot N |
| Edizione | [2nd ed. 2011.] |
| Pubbl/distr/stampa | London : , : Palgrave Macmillan UK : , : Imprint : Palgrave Macmillan, , 2011 |
| Descrizione fisica | 1 online resource (516 p.) |
| Disciplina | 330.0112 |
| Soggetto topico |
Economic theory
Macroeconomics Business Management science Banks and banking Econometrics Statistics Economic Theory/Quantitative Economics/Mathematical Methods Macroeconomics/Monetary Economics//Financial Economics Business and Management, general Banking Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN |
1-283-26641-5
9786613266415 0-230-30644-6 0-230-31816-9 |
| Classificazione | BUS086000BUS039000BUS045000BUS069030 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Contents; List of Figures; List of Tables; List of Boxes; Foreword; Acknowledgements; List of Abbreviations; Introduction; 1 Overview; 2 Business Cycle Analysis; 3 Real Sector Building Blocks; 4 Financial Sector Dynamics; 5 Public Finances; 6 Medium- and Long-Run Projections; 7 Risks and Accuracy; 8 Policy Making and Forecasts; Epilogue; Annex I: The data; Annex II: Time series methods; Annex III: Macroeconomic models; Bibliography; Index |
| Record Nr. | UNINA-9910789748303321 |
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Carnot N
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| London : , : Palgrave Macmillan UK : , : Imprint : Palgrave Macmillan, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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