Contemporary Issues in Quantitative Finance eBook

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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.

Additional ISBNs
9781003213697, 9781032101156, 9781000859362

Contemporary Issues in Quantitative Finance 1st Edition is written by Ahmet Can Inci and published by Routledge. The Digital and eTextbook ISBNs for Contemporary Issues in Quantitative Finance are 9781000859447, 1000859444 and the print ISBNs are 9781032101125, 1032101121. Additional ISBNs for this eTextbook include 9781003213697, 9781032101156, 9781000859362.