To provide theoretical concepts and practical tools for the analysis and evaluation of financial performance and risk of non-financial companies, industries and portfolios. In details, the course aims at developing competences and skills in critical analysis, interpretation and valuation-judgement in the following fields:
a) economic and financial performance of firms/industries in manufacturing and tertiary sector
b) financial dynamics and financial needs of non-financial firms
c) financial solvency, credit risk and cost of debt
d) risk and return of equity portfolios and mutual funds.
The course contents are applicable in two main areas:
1. decision making for resources allocation by managers, public decision-makers and financial analysts
2. fundamental analysis of shares/portfolios for asset management/financial investments.
a) economic and financial performance of firms/industries in manufacturing and tertiary sector
b) financial dynamics and financial needs of non-financial firms
c) financial solvency, credit risk and cost of debt
d) risk and return of equity portfolios and mutual funds.
The course contents are applicable in two main areas:
1. decision making for resources allocation by managers, public decision-makers and financial analysts
2. fundamental analysis of shares/portfolios for asset management/financial investments.
Curriculum
teacher profile teaching materials
1. Objectives, contents, uses and users of financial analysis
2. Main data-bases in economic and financial area (both national and international): objectives, scope, information structure (i.e. datasets Mediobanca-R&S and BACH-ESD)
3. Performance and risk of non financial companies:
a) financial ratios: definition and classification, economic meaning and diagnostic power, breakdown criteria and mutual relationships, benchmark for cross-sectional analysis, application problems.
b) comparison among firms and industries on available datasets.
4. Financial needs and their determinants. Financial dynamics and cash-flows statements
5. Financial viability, credit risk and cost of debt
a) definitions and measures of financial solvency
b) bonds: fundamentals, pricing, duration and CDS
c) corporate bonds, credit spread and probability of default
d) credit risk and scoring models
e) ratings.
6. Risk and return of equity portfolios and mutual funds
a) performance metrics (TWR vs MWR) and risk measures
b) risk adjusted measures of performance
c) performance attribution
d) the Italian mutual funds industry: trends, features, appropriate metr
1. Berk J. – De Marzo P., Finanza aziendale 1 - Fondamenti, IV Edition, Pearson, 2018, ch. 6
2. Berk J. – De Marzo P. – Morresi O., Venanzi D., Finanza aziendale 2 – Teoria e pratica della finanza moderna, IV Edition, Pearson, 2018, §§ 5.4, 12.5, 12.6, 12.7
3. Brunetti G., Coda V., Favotto F., Analisi, previsioni, simulazioni economico-finanziarie d’impresa, Etas Libri 1990, chs. 4-6-7-8
4. Coda V., Brunetti G., Barbato Bergamin M., Indici di bilancio e flussi finanziari, Etas Libri 1974, cap. 3 (download from the course website)
5. Feibel B. J., Investment performance measurement, Frank J. Fabozzi Series, Wiley 2003, chs. 3-4-5-7-9-10-11-12-13-14
6. Pavarani E., L’equilibrio finanziario, McGraw-Hill 2006, chs. 3 e 5 (Appendix included)
7. Resti A. – Sironi A., Rischio e valore nelle banche, Egea 2008, ch.14
ARTICLES
8. Treynor J.L., Mazuy K.K., 1966, “Can mutual funds outgess the Market?”, Harvard Business Review, 44 (4), pp. 131-136 (download from digital Roma Tre Library)
9. Venanzi D., 2016, “The performance of the Italian mutual funds: Does the metric matter?”, Research in International Business and Finance, 37, pp. 406-421 (download from the digital Roma Tre Library)
Other reference materials
Data, cases, slides, seminar materials, notes, etc., down-loadable from the course website (requested passwords are provided by the teacher).
All materials are available on Roma Tre University SBA.
Mutuazione: 21201513 ANALISI FINANZIARIA in Economia L-33 VENANZI DANIELA
Programme
Main topics:1. Objectives, contents, uses and users of financial analysis
2. Main data-bases in economic and financial area (both national and international): objectives, scope, information structure (i.e. datasets Mediobanca-R&S and BACH-ESD)
3. Performance and risk of non financial companies:
a) financial ratios: definition and classification, economic meaning and diagnostic power, breakdown criteria and mutual relationships, benchmark for cross-sectional analysis, application problems.
b) comparison among firms and industries on available datasets.
4. Financial needs and their determinants. Financial dynamics and cash-flows statements
5. Financial viability, credit risk and cost of debt
a) definitions and measures of financial solvency
b) bonds: fundamentals, pricing, duration and CDS
c) corporate bonds, credit spread and probability of default
d) credit risk and scoring models
e) ratings.
6. Risk and return of equity portfolios and mutual funds
a) performance metrics (TWR vs MWR) and risk measures
b) risk adjusted measures of performance
c) performance attribution
d) the Italian mutual funds industry: trends, features, appropriate metr
Core Documentation
BOOKS1. Berk J. – De Marzo P., Finanza aziendale 1 - Fondamenti, IV Edition, Pearson, 2018, ch. 6
2. Berk J. – De Marzo P. – Morresi O., Venanzi D., Finanza aziendale 2 – Teoria e pratica della finanza moderna, IV Edition, Pearson, 2018, §§ 5.4, 12.5, 12.6, 12.7
3. Brunetti G., Coda V., Favotto F., Analisi, previsioni, simulazioni economico-finanziarie d’impresa, Etas Libri 1990, chs. 4-6-7-8
4. Coda V., Brunetti G., Barbato Bergamin M., Indici di bilancio e flussi finanziari, Etas Libri 1974, cap. 3 (download from the course website)
5. Feibel B. J., Investment performance measurement, Frank J. Fabozzi Series, Wiley 2003, chs. 3-4-5-7-9-10-11-12-13-14
6. Pavarani E., L’equilibrio finanziario, McGraw-Hill 2006, chs. 3 e 5 (Appendix included)
7. Resti A. – Sironi A., Rischio e valore nelle banche, Egea 2008, ch.14
ARTICLES
8. Treynor J.L., Mazuy K.K., 1966, “Can mutual funds outgess the Market?”, Harvard Business Review, 44 (4), pp. 131-136 (download from digital Roma Tre Library)
9. Venanzi D., 2016, “The performance of the Italian mutual funds: Does the metric matter?”, Research in International Business and Finance, 37, pp. 406-421 (download from the digital Roma Tre Library)
Other reference materials
Data, cases, slides, seminar materials, notes, etc., down-loadable from the course website (requested passwords are provided by the teacher).
All materials are available on Roma Tre University SBA.
Type of delivery of the course
The teaching approach aims at: a) the application of theoretical models and practical techniques to real scenarios/contexts in the relevant fields b) developing/improving selection skills of both the relevant information and the appropriate techniques c) developing critical skills of data interpretation and autonomous judgement. This approach asks for the knowledge of the main financial data-bases in the relevant fields; furthermore, active teaching methods will be used (in addition to the traditional lectures) like analysis of real data, solution of problems/exercises, case analysis, analysis and critical evaluation of empirical data, comparisons among firms and industries, and a project work (in group) oriented to empirically testing a few formulated hypotheses, by using statistical sw and real data from the available datasets.Attendance
The particular features of the course as well as its being application-oriented strongly suggest the continuous attending of the course. Furthermore, the participation to group project work gives the opportunity (not so frequent) to formulate an empirical testing of a few theoretical hypotheses and to apply statistical techniques to real financial data.Type of evaluation
individual written exam individual oral exam (access for students with a minimum score of 18/30 in the written exam, only) teacher profile teaching materials
1. Objectives, contents, uses and users of financial analysis
2. Main data-bases in economic and financial area (both national and international): objectives, scope, information structure (i.e. datasets Mediobanca-R&S and BACH-ESD)
3. Performance and risk of non financial companies:
a) financial ratios: definition and classification, economic meaning and diagnostic power, breakdown criteria and mutual relationships, benchmark for cross-sectional analysis, application problems.
b) comparison among firms and industries on available datasets.
4. Financial needs and their determinants. Financial dynamics and cash-flows statements
5. Financial viability, credit risk and cost of debt
a) definitions and measures of financial solvency
b) bonds: fundamentals, pricing, duration and CDS
c) corporate bonds, credit spread and probability of default
d) credit risk and scoring models
e) ratings.
6. Risk and return of equity portfolios and mutual funds
a) performance metrics (TWR vs MWR) and risk measures
b) risk adjusted measures of performance
c) performance attribution
d) the Italian mutual funds industry: trends, features, appropriate metr
1. Berk J. – De Marzo P., Finanza aziendale 1 - Fondamenti, IV Edition, Pearson, 2018, ch. 6
2. Berk J. – De Marzo P. – Morresi O., Venanzi D., Finanza aziendale 2 – Teoria e pratica della finanza moderna, IV Edition, Pearson, 2018, §§ 5.4, 12.5, 12.6, 12.7
3. Brunetti G., Coda V., Favotto F., Analisi, previsioni, simulazioni economico-finanziarie d’impresa, Etas Libri 1990, chs. 4-6-7-8
4. Coda V., Brunetti G., Barbato Bergamin M., Indici di bilancio e flussi finanziari, Etas Libri 1974, cap. 3 (download from the course website)
5. Feibel B. J., Investment performance measurement, Frank J. Fabozzi Series, Wiley 2003, chs. 3-4-5-7-9-10-11-12-13-14
6. Pavarani E., L’equilibrio finanziario, McGraw-Hill 2006, chs. 3 e 5 (Appendix included)
7. Resti A. – Sironi A., Rischio e valore nelle banche, Egea 2008, ch.14
ARTICLES
8. Treynor J.L., Mazuy K.K., 1966, “Can mutual funds outgess the Market?”, Harvard Business Review, 44 (4), pp. 131-136 (download from digital Roma Tre Library)
9. Venanzi D., 2016, “The performance of the Italian mutual funds: Does the metric matter?”, Research in International Business and Finance, 37, pp. 406-421 (download from the digital Roma Tre Library)
Other reference materials
Data, cases, slides, seminar materials, notes, etc., down-loadable from the course website (requested passwords are provided by the teacher).
All materials are available on Roma Tre University SBA.
Mutuazione: 21201513 ANALISI FINANZIARIA in Economia L-33 VENANZI DANIELA
Programme
Main topics:1. Objectives, contents, uses and users of financial analysis
2. Main data-bases in economic and financial area (both national and international): objectives, scope, information structure (i.e. datasets Mediobanca-R&S and BACH-ESD)
3. Performance and risk of non financial companies:
a) financial ratios: definition and classification, economic meaning and diagnostic power, breakdown criteria and mutual relationships, benchmark for cross-sectional analysis, application problems.
b) comparison among firms and industries on available datasets.
4. Financial needs and their determinants. Financial dynamics and cash-flows statements
5. Financial viability, credit risk and cost of debt
a) definitions and measures of financial solvency
b) bonds: fundamentals, pricing, duration and CDS
c) corporate bonds, credit spread and probability of default
d) credit risk and scoring models
e) ratings.
6. Risk and return of equity portfolios and mutual funds
a) performance metrics (TWR vs MWR) and risk measures
b) risk adjusted measures of performance
c) performance attribution
d) the Italian mutual funds industry: trends, features, appropriate metr
Core Documentation
BOOKS1. Berk J. – De Marzo P., Finanza aziendale 1 - Fondamenti, IV Edition, Pearson, 2018, ch. 6
2. Berk J. – De Marzo P. – Morresi O., Venanzi D., Finanza aziendale 2 – Teoria e pratica della finanza moderna, IV Edition, Pearson, 2018, §§ 5.4, 12.5, 12.6, 12.7
3. Brunetti G., Coda V., Favotto F., Analisi, previsioni, simulazioni economico-finanziarie d’impresa, Etas Libri 1990, chs. 4-6-7-8
4. Coda V., Brunetti G., Barbato Bergamin M., Indici di bilancio e flussi finanziari, Etas Libri 1974, cap. 3 (download from the course website)
5. Feibel B. J., Investment performance measurement, Frank J. Fabozzi Series, Wiley 2003, chs. 3-4-5-7-9-10-11-12-13-14
6. Pavarani E., L’equilibrio finanziario, McGraw-Hill 2006, chs. 3 e 5 (Appendix included)
7. Resti A. – Sironi A., Rischio e valore nelle banche, Egea 2008, ch.14
ARTICLES
8. Treynor J.L., Mazuy K.K., 1966, “Can mutual funds outgess the Market?”, Harvard Business Review, 44 (4), pp. 131-136 (download from digital Roma Tre Library)
9. Venanzi D., 2016, “The performance of the Italian mutual funds: Does the metric matter?”, Research in International Business and Finance, 37, pp. 406-421 (download from the digital Roma Tre Library)
Other reference materials
Data, cases, slides, seminar materials, notes, etc., down-loadable from the course website (requested passwords are provided by the teacher).
All materials are available on Roma Tre University SBA.
Type of delivery of the course
The teaching approach aims at: a) the application of theoretical models and practical techniques to real scenarios/contexts in the relevant fields b) developing/improving selection skills of both the relevant information and the appropriate techniques c) developing critical skills of data interpretation and autonomous judgement. This approach asks for the knowledge of the main financial data-bases in the relevant fields; furthermore, active teaching methods will be used (in addition to the traditional lectures) like analysis of real data, solution of problems/exercises, case analysis, analysis and critical evaluation of empirical data, comparisons among firms and industries, and a project work (in group) oriented to empirically testing a few formulated hypotheses, by using statistical sw and real data from the available datasets.Attendance
The particular features of the course as well as its being application-oriented strongly suggest the continuous attending of the course. Furthermore, the participation to group project work gives the opportunity (not so frequent) to formulate an empirical testing of a few theoretical hypotheses and to apply statistical techniques to real financial data.Type of evaluation
individual written exam individual oral exam (access for students with a minimum score of 18/30 in the written exam, only)