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73392 - Financial Analysis Models

Academic Year 2019/2020

                
                        Docente:
                        Rossella Agliardi
                    
                        Credits:
                        4
                    
                        SSD:
                        SECS-S/06
                    
                        Language:
                        Italian
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Rimini
                        
                            Corso:
                            First cycle degree programme (L) in
                            Economics of Tourism (cod. 8847)

                            Teaching resources on Virtuale

Learning outcomes

L’obiettivo del corso è quello di imparare a costruire programmi numerici per la risoluzione di specifici problemi in ambito finanziario ed aziendale. L’obiettivo si realizzerà coniugando la comprensione dei concetti finanziari con la progettazione in Excel delle soluzioni ai problemi. In particolare, saranno selezionati alcuni problemi sui quali esercitarsi a tradurre le idee in programmi numerici, imparare a disegnare scenari futuri ed implementare i livelli di rischio ed incertezza, sviluppare l’analisi di sensibilità ai parametri, suggerire miglioramenti dei programmi esistenti.

Course contents

The objective is to provide some tools to help developing specialist numerical programs in financial modelling which answer specific business problems. Modelling will require an understanding of finance and design together with Excel. In particular, working on some selected financial problems, students will learn how to develop ideas into application, how to design future scenarios and demonstrate levels of risk and uncertainty, how to provide a series of answer based on different parameters, how to improve existing models.

Contents

Random variables and stochastic processes. Random walks. Risk analysis: risk assessment process and analysis.

Stock prices. Financial options: definitions, properties, pricing methods, sensitivity analysis.

Montecarlo simulation technique. Hedging strategies.

Weakness of the classic net present value model under uncertainty. Real options. Applications to investment, disinvestment, expansion and contraction projects.

Readings/Bibliography

Slides and speadsheets will be made available along with supplementary material.

Teaching methods

Lectures and lab classes.

Assessment methods

Written exam (test). It can be replaced with the presentation of a case study and, in this case, a minimum of 80% attendance to the Lab classes is needed.

Teaching tools

Projector and blackboard. During lab classes a PC will be available to each student.

Office hours

See the website of Rossella Agliardi