Financial Data Modelling

Kurzus neve	Financial Data Modelling
Tárgykód	FIING0PA3
Kurzuskód
Kar	PSZK
Tanszék	Pénzügyi Tanszék
Tárgy jellege	szabadon választható, elmélet + gyakorlat
Rövid tartalom	" The modern business world, including the financial sector, heavily relies on data for decision-making. This course focuses on improving one's understanding of financial data modelling through practical exercises using Excel and real-life case studies from corporate and market data. The objective is to equip learners with strong analytical and technical abilities, which will benefit them in their future careers. Based on the above, the main object of the course is: To familiarize students with the framework of financial data analysis, including preparation of inputs, construction of models, and processing of analysis. 1. block of hours (4×45 minutes), Case study modelling in Excel Introduction • The concept and essence of financial modelling, • data science, the formation and development of modern practice, • overview of Excel, basics & features • The types of financial analysis. • Steps in creating a model. 2. block of hours (6×45 minutes), Case study modelling in Excel Financial statement modelling • Theory and concepts, reading of financial statements, Fundamental analysis. • Building financial statements model • Building financial indicators model • Building financial statement forecasting (pro forma) model 3. block of hours (6×45 minutes), Case study modelling in Excel Capital market modelling: • Theory and concepts: Financial data analysing in the capital market (Indexes), technical analysis techniques. • Analysing market history • Portfolio modelling • Estimating beta and the security market line. • Stocks valuation models • Bond valuation models The course needs home studying before the intensive week as well, based on the reading material to be downloaded from the Coospace scene. "
Kurzus nyelve	angol
Féléves óraszám	16
Kreditérték	3
Beszámítás
Hallgatói kör	any major from any faculty
Létszám	30
Értékelés	" To successfully complete the subject, the final project must demonstrate the application of the concepts and skills learned during the seminars. This project task shall be submitted through Coospace, maximum 3 weeks after the intensive week. "
Előadók	" Musaab Mousa, PhD "
További információ
Egyéb	" Learning materials: Lectures (PPTs) and related case studies and excel modelling files.Written communication with students will be via Coospace. "
Óraidőpontok
Terem
Helyszín