Описание: 1. The Fixed-Income Market2. The Equities Market3. C++ Programming Techniques in Finance4. Common Libraries for Financial Code5. Designing Numerical Classes6. Plotting Financial Data7. Linear Algebra8. Interpolation9. Calculating Roots of Equations10. Numerical Integration11. Solving Partial Differential Equations12. Algorithm Optimization13. Portfolio Optimization14. Monte Carlo Methods for Equity markets15. Extending Financial Libraries16. C++ with R and Octave17. MultithreadingA. Appendix A: C++20 Features
"Dr Jan Dash has achieved a success that is truly unique. It is common to find texts from authors steeped in climate science or in decision making processes. But it is rare to find someone skilled at both. Dr Dash knows his science and he knows how to use it to make informed decisions as we face a changing and challenging climate."
Dr John Abraham University of St Thomas, USA
Review of the First Edition:
"... this document brings a wealth of practical information on how work is done in real world financial markets, and covers an impressive number of topics, ranging from management and computer system issues to research themes whose potential applications are yet to be explored. It can prove a useful tool to anyone already well acquainted with the basics of mathematical finance, including financial mathematicians, but also quantitative analysts wishing to learn more of the fundamentals without paying too high a price in mathematical prerequisites."
Mathematical Reviews
Written by a physicist with extensive experience as a risk/finance quant, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the "how to" and "what it's like" aspects not covered in textbooks or papers. A "Technical Index" indicates the mathematical level for each chapter.
This second edition includes some new, expanded, and wide-ranging considerations for risk management: Climate Change and its long-term systemic risk; Markets in Crisis and the Reggeon Field Theory; "Smart Monte Carlo" and American Monte Carlo; Trend Risk -- time scales and risk, the Macro-Micro model, singular spectrum analysis; credit risk: counterparty risk and issuer risk; stressed correlations -- new techniques; and Psychology and option models.
Solid risk management topics from the first edition and valid today are included: standard/advanced theory and practice in fixed income, equities, and FX; quantitative finance and risk management -- traditional/exotic derivatives, fat tails, advanced stressed VAR, model risk, numerical techniques, deals/portfolios, systems, data, economic capital, and a function toolkit; risk lab -- the nuts and bolts of risk management from the desk to the enterprise; case studies of deals; Feynman path integrals, Green functions, and options; and "Life as a Quant" -- communication issues, sociology, stories, and advice.
Автор: Bekaert, Geert J. Hodrick, Robert J. Название: International financial management ISBN: 110711182X ISBN-13(EAN): 9781107111820 Издательство: Cambridge Education Рейтинг: Цена: 17422.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combining academic theory with practical case studies, International Financial Management, 3rd Edition is ideal for business students seeking to understand global management, economics majors wanting to understand international financial markets, and anyone interested in international finance, business, currency markets and globalization.
Описание: Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set.
Автор: Guyon Название: Nonlinear Pricing Methods in Quantitative Finance ISBN: 1466570334 ISBN-13(EAN): 9781466570337 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
New Tools to Solve Your Option Pricing Problems
For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research--including Risk magazine's 2013 Quant of the Year--Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods.
Real-World Solutions for Quantitative Analysts
The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.
Автор: Tsolacos Название: Applied Quantitative Analysis for Real Estate ISBN: 1138561320 ISBN-13(EAN): 9781138561328 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and Masters students, as well as meeting the requirements of modern professional practice.
Автор: Tsolacos Название: Applied Quantitative Analysis for Real Estate ISBN: 1138561339 ISBN-13(EAN): 9781138561335 Издательство: Taylor&Francis Рейтинг: Цена: 8573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and Masters students, as well as meeting the requirements of modern professional practice.
Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?
Python is the answer.
While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500-page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no step-by-step guide.
There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies.
With this in mind, this book starts you off with a step-by-step guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what you've been looking for.
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