Contemporary Quantitative Finance connects the abstract theory and the practical use of financial innovations such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques, mathematical tools, and statistical methodologies, with a focus on real-life applications.
Contemporary Quantitative Finance connects the abstract theory and the practical use of financial innovations such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques, mathematical tools, and statistical methodologies, with a focus on real-life applications.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ahmet Can Inci is Professor of Finance at Bryant University in Rhode Island, U.S.A. He received his Ph.D. from the University of Michigan, Ann Arbor, in 2001. He holds an M.B.A. from Ohio State University, an M.Sc. in control systems from Imperial College - University of London, and a B.Sc. in electrical and electronics engineering from Bogazici University in Istanbul. Professor Inci's research interests include exchange rate dynamics, corporate governance, emerging markets, oil and energy, futures, contagion and flight to quality, the gender gap at the workplace, insider trading, intraday volatility, and market efficiency. He teaches innovations in finance, international finance and business, investments, corporate finance, foundations of financial theory, financial analytics, and financial engineering. He is a C.A.I.A. member, A.A.S.C.B. program consultant/reviewer, and editorial board member of numerous academic journals.
Inhaltsangabe
1. Introduction: History Present Future of Financial Markets and Securities 2. Global Finance 3. Financial Crises: Reasons Consequences Lessons 4. Trading Ecosystem: History Speed Orders Intraday E.S.G. 5. Asset Pricing Models 6. Modern Portfolio Theory and Optimization 7. Hedge Funds Mutual Funds E.T.F.s 8. Stochastic Calculus 9. Monte Carlo Simulations 10. Value-at-Risk [VaR] 11. Fixed-Income Securities Term Structure of Interest Rates 12. Options: Introduction 13. Options: Binomial Tree Model 14. Options: Black-Scholes-Merton Model 15. Options: Greeks and Risk Management 16. Forwards and Futures 17. Alternative Investments 18. Currency Cryptocurrency Blockchain Fintech 19. Artificial Intelligence in Finance 20. Big Data Analytics
1. Introduction: History, Present, Future of Financial Markets and Securities, 2. Global Finance, 3. Financial Crises: Reasons, Consequences, Lessons, 4. Trading Ecosystem: History, Speed, Orders, Intraday, E.S.G., 5. Asset Pricing Models, 6. Modern Portfolio Theory and Optimization, 7. Hedge Funds, Mutual Funds, E.T.F.s, 8. Stochastic Calculus, 9. Monte Carlo Simulations, 10. Value-at-Risk [VaR], 11. Fixed-Income Securities, Term Structure of Interest Rates, 12. Options: Introduction, 13. Options: Binomial Tree Model, 14. Options: Black-Scholes-Merton Model, 15. Options: Greeks and Risk Management, 16. Forwards and Futures, 17. Alternative Investments, 18. Currency, Cryptocurrency, Blockchain, Fintech, 19. Artificial Intelligence in Finance, 20. Big Data Analytics
1. Introduction: History Present Future of Financial Markets and Securities 2. Global Finance 3. Financial Crises: Reasons Consequences Lessons 4. Trading Ecosystem: History Speed Orders Intraday E.S.G. 5. Asset Pricing Models 6. Modern Portfolio Theory and Optimization 7. Hedge Funds Mutual Funds E.T.F.s 8. Stochastic Calculus 9. Monte Carlo Simulations 10. Value-at-Risk [VaR] 11. Fixed-Income Securities Term Structure of Interest Rates 12. Options: Introduction 13. Options: Binomial Tree Model 14. Options: Black-Scholes-Merton Model 15. Options: Greeks and Risk Management 16. Forwards and Futures 17. Alternative Investments 18. Currency Cryptocurrency Blockchain Fintech 19. Artificial Intelligence in Finance 20. Big Data Analytics
1. Introduction: History, Present, Future of Financial Markets and Securities, 2. Global Finance, 3. Financial Crises: Reasons, Consequences, Lessons, 4. Trading Ecosystem: History, Speed, Orders, Intraday, E.S.G., 5. Asset Pricing Models, 6. Modern Portfolio Theory and Optimization, 7. Hedge Funds, Mutual Funds, E.T.F.s, 8. Stochastic Calculus, 9. Monte Carlo Simulations, 10. Value-at-Risk [VaR], 11. Fixed-Income Securities, Term Structure of Interest Rates, 12. Options: Introduction, 13. Options: Binomial Tree Model, 14. Options: Black-Scholes-Merton Model, 15. Options: Greeks and Risk Management, 16. Forwards and Futures, 17. Alternative Investments, 18. Currency, Cryptocurrency, Blockchain, Fintech, 19. Artificial Intelligence in Finance, 20. Big Data Analytics
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