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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system

(ebook) (audiobook) (audiobook) Książka w języku 1
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system Edina Berlinger (EURO), Julia Molnár, Agnes Vidovics Dancs, Barbara Dömötör, Dániel Havran, Gergely Gabler, Gergely Daróczi, Tamás Vadász, Margitai István, PATTERN Oktatasi es Informatikai Tanacsado  BT, Kata Váradi, Balázs Márkus, Balázs Árpád Sz?+-cs, Ferenc Illés, Ádám Banai, Péter Medvegyev, Péter Juhász - okladka książki

Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system Edina Berlinger (EURO), Julia Molnár, Agnes Vidovics Dancs, Barbara Dömötör, Dániel Havran, Gergely Gabler, Gergely Daróczi, Tamás Vadász, Margitai István, PATTERN Oktatasi es Informatikai Tanacsado  BT, Kata Váradi, Balázs Márkus, Balázs Árpád Sz?+-cs, Ferenc Illés, Ádám Banai, Péter Medvegyev, Péter Juhász - okladka książki

Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system Edina Berlinger (EURO), Julia Molnár, Agnes Vidovics Dancs, Barbara Dömötör, Dániel Havran, Gergely Gabler, Gergely Daróczi, Tamás Vadász, Margitai István, PATTERN Oktatasi es Informatikai Tanacsado  BT, Kata Váradi, Balázs Márkus, Balázs Árpád Sz?+-cs, Ferenc Illés, Ádám Banai, Péter Medvegyev, Péter Juhász - audiobook MP3

Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system Edina Berlinger (EURO), Julia Molnár, Agnes Vidovics Dancs, Barbara Dömötör, Dániel Havran, Gergely Gabler, Gergely Daróczi, Tamás Vadász, Margitai István, PATTERN Oktatasi es Informatikai Tanacsado  BT, Kata Váradi, Balázs Márkus, Balázs Árpád Sz?+-cs, Ferenc Illés, Ádám Banai, Péter Medvegyev, Péter Juhász - audiobook CD

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O autorach książki

Edina Berlinger has a PhD in economics from the Corvinus University of Budapest. She is an associate professor, teaching corporate finance, investments, and financial risk management. She is the head of the Finance department of the university, and is also the chair of the finance subcommittee of the Hungarian Academy of Sciences. Her expertise covers loan systems, risk management, and more recently, network analysis. She has led several research projects in student loan design, liquidity management, heterogeneous agent models, and systemic risk.
Ãgnes Vidovics-Dancs is a PhD candidate and an assistant professor at the Department of Finance, Corvinus University of Budapest. Previously, she worked as a junior risk manager in the Hungarian Government Debt Management Agency. Her main research areas are government debt management (in general) and sovereign crises and defaults (in particular). She is a CEFA and CIIA diploma holder.
Gergely Gabler is the head of the Business Model Analysis department at the banking supervisory division of National Bank of Hungary (MNB) since 2014. Before this, he used to lead the Macroeconomic Research department at Erste Bank Hungary after being an equity analyst since 2008. He graduated from the Corvinus University of Budapest in 2009 with an MSc degree in financial mathematics. He has been a guest lecturer at Corvinus University of Budapest since 2010, and he also gives lectures in MCC College for advanced studies. He is about to finish the CFA program in 2015 to become a charterholder.

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