UID:
almahu_9949501412002882
Umfang:
1 online resource
ISBN:
9781000859362
,
1000859363
,
9781003213697
,
1003213693
,
9781000859447
,
1000859444
Serie:
Routledge advanced texts in economics and finance
Inhalt:
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.
Anmerkung:
Introduction: History, Present, Future of Financial Markets and Securities -- Global Finance -- Financial Crises: Reasons, Consequences, Lessons -- Trading Ecosystem: History, Speed, Orders, Intraday, ESG -- Asset Pricing Models -- Modern Portfolio Theory & Optimization -- Hedge Funds, Mutual Funds, ETFs -- Stochastic Calculus -- Monte Carlo Simulations -- Value-at-Risk [VaR] -- Fixed Income Securities, Term Structure of Interest Rates -- Options: Introduction -- Options: Binomial Tree Model -- Options: Black-Scholes-Merton Model -- Options: Greeks and Risk Management -- Forwards and Futures -- Alternative Investments -- Currency, Cryptocurrency, Blockchain, FinTech -- Artificial Intelligence in Finance -- Big Data Analytics.
Weitere Ausg.:
Print version: ISBN 1032101156
Weitere Ausg.:
ISBN 9781032101156
Sprache:
Englisch
DOI:
10.4324/9781003213697
URL:
https://www.taylorfrancis.com/books/9781003213697
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