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Item specifics
- Condition
- Book Title
- Contemporary Issues in Quantitative Finance
- ISBN
- 9781032101156
- Subject Area
- Business & Economics
- Publication Name
- Contemporary Issues in Quantitative Finance
- Publisher
- Taylor & Francis Group
- Item Length
- 9.7 in
- Subject
- Investments & Securities / Bonds, Finance / Financial Risk Management, Finance / Financial Engineering, Finance / General
- Publication Year
- 2023
- Series
- Routledge Advanced Texts in Economics and Finance Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 25.4 Oz
- Item Width
- 6.9 in
- Number of Pages
- 292 Pages
Contemporary Issues in Quantitative Finance, Hardcover by Inci, Ahmet Can, Li…
About this product
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
1032101156
ISBN-13
9781032101156
eBay Product ID (ePID)
14069204413
Product Key Features
Number of Pages
292 Pages
Language
English
Publication Name
Contemporary Issues in Quantitative Finance
Subject
Investments & Securities / Bonds, Finance / Financial Risk Management, Finance / Financial Engineering, Finance / General
Publication Year
2023
Type
Textbook
Subject Area
Business & Economics
Series
Routledge Advanced Texts in Economics and Finance Ser.
Format
Hardcover
Dimensions
Item Weight
25.4 Oz
Item Length
9.7 in
Item Width
6.9 in
Additional Product Features
Intended Audience
College Audience
LCCN
2022-048504
Illustrated
Yes
Table Of Content
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
Synopsis
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. The textbook opens with chapters on financial markets, global finance and financial crises, setting the subject in its historical and international context. It then examines key topics in modern quantitative finance, including asset pricing, exchange traded funds, Monte Carlo simulations, options, alternative investments, artificial intelligence, and big data analytics in finance. Complex theory is condensed to intuition, with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations, conceptual questions, quantitative problems, and a research project, giving students ample opportunity to develop their skills. Clear chapter objectives, summaries, and key terms also support student learning. Digital supplements including code and PowerPoint slides are available for instructors. Assuming some prior financial education, this textbook is suited to upper level undergraduate and postgraduate courses in quantitative finance, financial engineering, and derivatives., 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., * All the quantitative finance topics covered are either novel, or use novel techniques to examine traditional topics * Global focus throughout the text, with lots of international examples * All chapters offer: chapter synopsis and objectives; boxed examples; Excel examples in practical application boxes; chapter summary; key terms; conceptual questions; numerical questions; and a research project. * Complex theory is condensed to intuition, with appendices presenting advanced mathematical or statistical techniques * Digital supplements include: Excel examples and code for each chapter; and chapter outlines and PowerPoint slides for instructors, 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. The textbook opens with chapters on financial markets, global finance, and financial crises, setting the subject in its historical and international context. It then examines key topics in modern quantitative finance, including asset pricing, exchange-traded funds, Monte Carlo simulations, options, alternative investments, artificial intelligence, and big data analytics in finance. Complex theory is condensed to intuition, with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations, conceptual questions, quantitative problems, and a research project, giving students ample opportunity to develop their skills. Clear chapter objectives, summaries, and key terms also support student learning. Digital supplements, including code and PowerPoint slides, are available for instructors. Assuming some prior financial education, this textbook is suited to upper-level undergraduate and postgraduate courses in quantitative finance, financial engineering, and derivatives.
LC Classification Number
HG173.I523 20223
Price : 250.94
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