Michele LA ROCCA | LABORATORIO DI STATISTICA E DATA MINING
Michele LA ROCCA LABORATORIO DI STATISTICA E DATA MINING
cod. 0222210013
LABORATORIO DI STATISTICA E DATA MINING
0222210013 | |
DIPARTIMENTO DI SCIENZE ECONOMICHE E STATISTICHE | |
EQF7 | |
ECONOMICS | |
2017/2018 |
YEAR OF DIDACTIC SYSTEM 2016 | |
PRIMO SEMESTRE |
SSD | CFU | HOURS | ACTIVITY | |
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SECS-S/01 | 10 | 60 | LESSONS |
Objectives | |
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KNOWLEDGE AND UNDERSTANDING PROVIDE THE STUDENTS WITH ADVANCED METHODOLOGICAL AND COMPUTATIONAL TOOLS FOR FORECASTING FINANCIAL TIME SERIES. APPLYING KNOWLEDGE AND UNDERSTANDING MAKE THE STUDENTS ABLE TO IMPLEMENT IN R LANGUAGE ADVANCED TECHNIQUES FOR ANALYZING AND FORECASTING FINANCIAL TIME SERIES. |
Prerequisites | |
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BASIC KNOWLEDGES OF STATISTICS |
Contents | |
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PART I ELEMENTS OF SIMULATION THEORY. THE BOOTSTRAP PROCEDURE. BOOTSTRAP FOR DEPENDENT DATA. BOOTSTRAP ESTIMATION OF THE FORECAST DENSITY OF RETURNS IN ARMA-GARCH MODELS. FORECAST INTERVALS FOR VAR AND ES. ASSESSING DENSITY FORECASTS: PITS, BERKOWITZ'S TEST, SCORING RULES. CASE STUDIES. PART II NON PARAMETRIC ESTIMATORS AND DEPENDENT DATA, MAIN PROPERTIES, APPLICATIONS FOR FINANCIAL TIME SERIES. |
Teaching Methods | |
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LECTURES AND COMPUTER LABORATORY SESSIONS |
Verification of learning | |
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ORAL EXAM WITH DEFENSE OF A PROJECT WORK |
Texts | |
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GNEITING, TILMANN AND RAFTERY, ADRIAN E., (2007), STRICTLY PROPER SCORING RULES, PREDICTION, AND ESTIMATION, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 102, ISSUE , P. 359-378. MORGAN B. (1984) ELEMENTS OF SIMULATION (CHAPMAN & HALL/CRC TEXTS IN STATISTICAL SCIENCE). LORENZO PASCUAL, JUAN ROMO, ESTHER RUIZ (2006) BOOTSTRAP PREDICTION FOR RETURNS AND VOLATILITIES IN GARCH MODELS, COMPUTATIONAL STATISTICS & DATA ANALYSIS, VOLUME 50, ISSUE 9,PAGES 2293-2312, ISSN 0167-9473, HTTP://DX.DOI.ORG/10.1016/J.CSDA.2004.12.008. (HTTP://WWW.SCIENCEDIRECT.COM/SCIENCE/ARTICLE/PII/S0167947304004001) |
More Information | |
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FURTHER MATERIAL (DATA, SOFTWARE, LECTURE NOTES) WILL BE PUBLISHED ON THE INSTRUCTOR'S WEBSITE. |
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