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Financial Informatics

Financial Informatics - Teaching the ways of quantitative finance.

http://fininf.cs.bme.hu/

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Financial Informatics | fininf.cs.bme.hu Reviews
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Financial Informatics - Teaching the ways of quantitative finance.
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Financial Informatics | fininf.cs.bme.hu Reviews

https://fininf.cs.bme.hu

Financial Informatics - Teaching the ways of quantitative finance.

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1

Courses

http://fininf.cs.bme.hu/courses.html

Descriptive analysis of financial time series. Transformations of time series, statistical analysis. Trend analysis, extraction of cyclical effects. Decomposing time series with deterministic models. Smoothing techniques for reducing noise. Stochastic models (ARIMA model family). Volatility modelling (ARCH, GARCH family). Business and Financial Analytics. Evaluating the value and risk of firms. Pricing credits, evaluating claims. Types of financial investments. Types of risks, mitigation techniques.

2

Skills

http://fininf.cs.bme.hu/skills.html

What will you learn? Learn the basics of qualitative. Evaluating firms, performance and bankruptcy. Types of risks and their management. Types and properties of securities. Behavior patterns of investors. Widen your skills in the fields of. Time series analysis and forecasting. Attend guided laboratories that support you in developing an analytical mindset. Practice what you learnt in theory through tasks tailored to help you understand. Matlab, Excel, .etc. Learn the english terminology.

3

Topics

http://fininf.cs.bme.hu/topics.html

We highly encourage choosing a topic that is backed by a company - a successful. Collaboration can be your straight way into their ranks. Here are some illustrative examples - you are by no means restricted to this list, it's just to give you a taste of what you could be working on. Applications of Big Data technologies in financial information systems. Data mining/analysis/forecasting of stock market processes. Analysis/development of optimal stock portfolio strategies. Copy 2016 by Adam Zlatniczki.

4

Activities

http://fininf.cs.bme.hu/activity.html

We are interested in. Consulting project laboratories, bachelor's and master's theses. Preparing students who wish to participate in the PhD program. Involve students (both BSc, MSc or PhD - regardless of department or institute). In our R&D activities. Establishing active R&D co-operations with industrial partners. Organizing vocational trainings for our students. Dr András Telcs (telcs @ cs.bme.hu ). Ádám Zlatniczki (adam.zlatniczki @ cs.bme.hu). Copy 2016 by Adam Zlatniczki.

5

Career

http://fininf.cs.bme.hu/career.html

Our graduates are eligible for some of the most well-payed jobs in the IT sector. Vocational trainings are one of the best opportunities to get you started. You might become the employee of companies such as the following (in alphabetic order). Dr András Telcs (telcs @ cs.bme.hu ). Ádám Zlatniczki (adam.zlatniczki @ cs.bme.hu). Copy 2016 by Adam Zlatniczki.

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Pénzügyi informatika szakirány - Gazdaságinformatikus Msc Képzés - GAIN

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Budapesti Műszaki és Gazdaságtudományi Egyetem - Villamosmérnöki és Informatikai Kar. A BME VIK gondozásában. Budapesti Műszaki és Gazdaságtudományi Egyetem. Villamosmérnöki és Informatikai Kar. Elektronikus közig. és közszolg. Uuml;zleti és pénzügyi elemzés, Pénzügyi befektetések tervezése, Algoritmikus tőzsdei folyamat-előrejelzés, Pénzügyi szoftver technológiák, Kockázatelemzés és kezelés. Témalabor címek. A Pénzügyi. A Pénzügyi. A Morgan Stanley Magyarország. Szolgáltatójának.

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