
A Technical Guide to Mathematical Finance by Derek Zweig
A Technical Guide to Mathematical Finance covers those foundational mathematical topics most important to an aspiring or professional quant. The text goes beyond a simple recitation of methods and aims to impart a genuine understanding of the fundamental concepts underpinning most of the techniques and tools routinely used by those working in quantitative finance.
Features
- Suitable for professional quants and graduate students in finance, and mathematical/quantitative finance
- “Concept Refreshers” used throughout to provide pithy summaries of complex topics
- Step-by-step detail for formal proofs and mathematical descriptions
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Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes
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Introduction to Credit Risk Modeling
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Financial Mathematics
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Handbook of Price Impact Modeling
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Martingale Pricing
- Introduction to Financial Derivatives with Python
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Risk Analysis in Finance and Insurance
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Poisson Process and its Fractional Extensions with Applications
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Python for Asset Management
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Sustainable Financial Structured Products
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Handbook of Quantitative Sustainable Finance
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Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
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XVA Analysis
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Model-free Hedging
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Portfolio Optimization
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An Introduction to Computational Risk Management of Equity-Linked Insurance
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Monte Carlo Methods and Models in Finance and Insurance
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An Introduction to Financial Mathematics
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Principles of Portfolio Choice
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Introduction to Risk Parity and Budgeting
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Structured Credit Portfolio Analysis, Baskets and CDOs
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Stochastic Financial Models
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Arbitrage and Rational Decisions
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Stochastic Finance
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Understanding Risk
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High-Performance Computing in Finance
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Derivative Pricing
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Malliavin Calculus in Finance
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Risk Measures and Insurance Solvency Benchmarks
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Financial Modelling in Commodity Markets
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Engineering BGM
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Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes
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Equity-Linked Life Insurance
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Unravelling the Credit Crunch
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Counterparty Risk and Funding
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C++ for Financial Mathematics
“An ideal introduction to readers with an interest in Business Mathematics/Finance and Financial Engineering, "A Technical Guide to Mathematical Finance" is an unreservedly recommended pick for personal, professional, and college/university library Business & Finance collections, and for supplemental MBA curriculum studies lists”
— Midwest Book Review
Derek Zweig is the Chief Executive Officer and co-founder of Value Analytics, a data and analytics firm specializing in equity markets. Prior to founding Value Analytics, he worked as a capital markets risk analyst at a large regional bank where he specialized in market and counterparty risk. Along with his experience in risk, Derek spent much of his career valuing business interests and intangible assets of private and public companies. He is an active member of the CFA Institute and the Global Association of Risk Professionals. He has a graduate certificate in Financial Engineering from Columbia University, an M.S. in Applied Economics from Johns Hopkins University, and a B.S. in Finance from the Ohio State University. Derek regularly tutors children and young adults in mathematics, and enjoys rock climbing, pickup basketball and volleyball, and spending endless hours clowning around with his daughter.
| SKU | Unavailable |
| ISBN 13 | 9781032685960 |
| ISBN 10 | 1032685964 |
| Title | A Technical Guide to Mathematical Finance |
| Author | Derek Zweig |
| Series | Chapman And Hall Crc Financial Mathematics Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2024-06-19 |
| Number of pages | 184 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































