Bildungsziele
Knowledge and understanding
Area: quantitative methods for decision-making
knowledge of basic and intermediate level mathematical tools for understanding and analysing economic mechanisms through theoretical models and empirical applications
knowledge of the tools for static, dynamic, and comparative analysis of data on individuals, firms and economies
knowledge and understanding of descriptive statistics, the fundamentals of probability theory and sample methods, standard distributions and their application to economic analysis as well as linear and non-linear regression
understanding of parametric estimation and hypothesis testing
Knowledge of computer tools necessary for reading and analysing economic data and models
knowledge of the structure of computer networks, their main applications and security techniques as well as techniques for data collection, presentation and analysis using appropriate software
knowledge of international accounting systems and the double-entry method for the recognition and measurement of business operations
"understanding of financial statements
"
"in-depth knowledge of accounting data recognition or management control
"
Knowledge of the analysis method for estimating present values and discount factors for estimating the cost of capital and valuation of bonds and shares
Knowledge of medium and long-term financial forecasting methodologies and sensitivity analysis with simulation under uncertainty to manage risks in corporate and international finance
knowledge and understanding of the international financial environment, multinational risk defence techniques and competitive strategies adopted by global banks
knowledge of the mechanisms underlying effective communication of quantitative topics in three languages: Italian, German and English
Ability to apply knowledge and understanding
Area: quantitative methods for decision-making
to be able to analyse (unconstrained) optimisation problems and to mathematically interpret models of social and economic dynamics
to formalise economic problems using mathematical models, to solve such problems and to interpret the results conceptually
being able to analyse economic data using descriptive statics, parametric and non-parametric methods as well as linear and non-linear regression and interpret the results
knowing how to apply international accounting standards to the various contexts of business reality
knowing how to derive and interpret economic information taken from the web
knowing how to use computers and computer networks to analyse large quantities of data in solving complex problems and to write theses and articles
knowing how to evaluate fixed-income and equity financial instruments of companies listed on stock markets through the use of spreadsheet programs
knowing how to analyse financial statements by means of balance sheet ratios and communicate the results in accordance with international professional standards
knowing how to apply the main theories on capital, foreign exchange and commodity markets to actually observed data, including in an international context
knowing how to set up and carry out an empirical project using econometric software and financial or economic databases
knowing how to use techniques for evaluating the performance of financial investments and understanding the price formation mechanisms of risky financial assets and spot and forward interest rates
knowing how to work with basic and intermediate level mathematical tools, and basic level statistics, to study the behaviour of economic actors, from a theoretical and empirical point of view
knowing how to analyse economic datasets using spreadsheets or other suitable software
knowing how to use computer tools for the analysis of economies
being able to communicate the results of quantitative analyses prepared according to international professional standards in three languages: Italian, German and English
Autonomy of judgement
choose the most appropriate quantitative and qualitative methods of analysis
use logical reasoning to combine information and analytical methods, including modern software packages, to arrive at a solution
Learning ability
analyse, critically process and integrate data, information and future experience, also using advanced software
Bildungsziele und erwartete Lernergebnisse (zus. Informationen)
Wissen und Verstehen:
• Kenntnis der Werkzeuge, die notwendig sind, um Barwerte zu berechnen, Diskontfaktoren zu wählen, die Kapitalkosten zu schätzen und Wertpapiere wie Anleihen, Aktien oder Investitionsprojekte zu bewerten.
Anwendung von Wissen und Verstehen:
• Fähigkeit, festverzinsliche Finanzinstrumente und die Aktien börsennotierter Unternehmen mit Tabellenkalkulationssoftware zu bewerten.
Urteilsvermögen:
• Die beste Investition unter Alternativen auswählen
• Die Auswirkungen von Unsicherheit auf die Investitionsentscheidung einschätzen können
Kommunikationsfähigkeiten:
• nicht vorgesehen
Lernfähigkeiten:
• In der Lage sein, ein spezifisches finanzielles Problem eines Unternehmens zu verstehen und eine Lösung dafür zu finden.