ECONOMICS | Quantitative Analysis of Financial Risk
ECONOMICS Quantitative Analysis of Financial Risk
cod. 0222200037
QUANTITATIVE ANALYSIS OF FINANCIAL RISK
0222200037 | |
DEPARTMENT OF ECONOMICS AND STATISTICS | |
EQF7 | |
ECONOMICS | |
2021/2022 |
OBBLIGATORIO | |
YEAR OF COURSE 2 | |
YEAR OF DIDACTIC SYSTEM 2018 | |
AUTUMN SEMESTER |
SSD | CFU | HOURS | ACTIVITY | ||
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ANALISI QUANTITATIVA DEL RISCHIO FINANZIARIO MOD. 1 | |||||
SECS-S/01 | 5 | 30 | LESSONS | ||
ANALISI QUANTITATIVA DEL RISCHIO FINANZIARIO MOD. 2 | |||||
SECS-S/06 | 5 | 30 | LESSONS |
Objectives | |
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1) KNOWLEDGE AND UNDERSTANDING THE STUDENTS ARE EXPECTED TO MASTER THE MAIN METHODOLOGICAL TOOLS FOR THE QUANTITATIVE ANALYSIS OF FINANCIAL RISKS. 2) APPLYING KNOWLEDGE AND UNDERSTANDING THE COURSE AIMS AT HELPING THE STUDENTS TO DEVELOP THE ABILITY TO USE ADVANCED QUANTITATIVE MODELS FOR THE ANALYSIS AND MANAGEMENT OF FINANCIAL RISKS. |
Prerequisites | |
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KNOWLEDGE OF MATHEMATICS FOR ECONOMICS, FINANCIAL MATHEMATICS, STATISTICS. |
Contents | |
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MODULE A (30H LEZIONE) PORTFOLIO THEORY – MARKOWITZ MODEL – SHORT SELLING - SHARPE MODEL – ETA– CAPM – FUTURES – FINANCIAL OPTIONS MODULE B (30H LEZIONE) CREDIT SCORING METHODS, MEASURES OF ASSOCIATION BETWEEN BINARY CAUSAL VARIABLES, SUMMARY OF THE LINEAR REGRESSION MODEL, LOGIT REGRESSION, DISCRIMINANT ANALYSIS, OVERVIEW OF THE SOFTWARE R |
Teaching Methods | |
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- LECTURES IN CLASSROM; - PRACTICES; - LECTURES IN LABORATORY. |
Verification of learning | |
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AS CONCERN MODULE A, THE FINAL EXAM CONSISTS IN A WRITTEN EXAM AND AN ORAL VERIFICATION WITH VALUATION IN THIRTIETH AND A PROSPECTIVE THIRTY OUT OF THIRTY. EACH WRITTEN EXAM IS PASSED WITH 18/30 AT LEAST AND IS PRELIMINARY FOR THE ORAL DISCUSSION; IT CONSISTS IN 4/6 QUESTIONS, VALUED ACCORDING TO THEIR WEIGHT IN THE GLOBAL EXAM ASSESSMENT. THE AIM OF THE VALUATION IS THE RECOGNITION OF THE EXPERTISE AND A GRADUATION OF THEM. DURING THE ACADEMIC YEAR THERE WILL BE 8 EXAM SESSIONS WITH WRITTEN AND ORAL TESTS. HE WRITTEN TEST OF FORM B IS 1:30 H LONG AND CONSISTS OF 8 QUESTIONS THAT ASSESS BOTH THE UNDERSTANDING OF THE ISSUES ADDRESSED, AND THE ABILITY TO INTERPRET THE RESULTS OBTAINED WITH THE R SOFTWARE. |
Texts | |
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MODULE A D.G. LUENBERGER, INVESTMENT SCIENCE, OXFORD UNIVERSITY PRESS, 1998 MODULE B E. STANGHELLINI, INTRODUZIONE AI METODI STATISTICI PER IL CREDIT SCORING, SPRINGER, 2009 |
More Information | |
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FREQUENCY OF THE COURSE IS HIGHLY RECOMMENDED, BUT NON-OBLIGATORY. IN THE COURSE LECTURE THE TEACHER WILL GIVE TO THE STUDENTS NOTES AND EXERCISES. STUDENTS CAN ACT TOGETHER WITH THE PROFESSOR IN ORDER TO CLARIFY BOTH THEORETICAL AND PRACTICAL TOOLS AND PROBLEMS. STUDENTS CAN MADE SOME TEST SIMULATIONS FOR THE FINAL EXAM. |
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