Business and Financial Analytics
A tantárgyleírás hatályossága
| Subject name (Hungarian, English) |
Üzleti és pénzügyi elemzés
Business and Financial Analytics
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| Subject code | BMEVITMM102 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | vizsga | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
Dr. Simon Csaba
position: egyetemi docens
contact:
simon.csaba@vik.bme.hu
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| Responsible department |
Távközlési és Mesterséges Intelligencia Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | https://elearning.tmit.bme.hu/ | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
• Indicators to define the value and risk of a firm
• Possibilities to capitalize a firm
• Scoring of loan requests and loan offers
• Risk of exchange rates, risk of having debts
o Case study: investing at high level of debt
• Financial behaviour: behaviour of different investors,
• Features and risk of nonfinancial investments
• Financial investments, different types of securities, security market, financial market
• How to define price for securities bascet pricing, prediction of prices
o Case study: introduction of a firm to a stock exchange
• Risk descriptions, risk and yield expectations, risk-reduction, calculation of expected return
• Portfolio and security selection based on estimated return
• security market, return, forecasting return
• Theory of portfolio, options, selection of portfolio, analysis
o Case Study: Issuing corporate bonds
• Interest-based securities,
• Government bonds, evaluation of country risk and inflation,
• Pricing corporate bonds, securities with bascet-pricing
o Case Study: long term savings for pension age
• Predictions of bankruption with financial modells
• modelling komplex data-intenzive problems
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
Tanulástámogató anyagok
Online források
Recommended preliminary knowledge for completing the subject
General rules
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Curriculum placement
No curriculum placements recorded for this subject version.