Share E-Book
Scan to open this page

Scan with your phone to open this page

Rating No ratings yet

No description

AI Reading Assistant

Whole-book reading guide from stratified index samples; jump to passages in the text

AI guide
【One-Line Pitch】 A practical, example-driven manual for pricing, calibrating, and risk-managing financial instruments in MATLAB, aimed at quantitative analysts, risk managers, and finance students who already know the math and want working code. 【Book Arc】 - **Opening (~0%–12%)**: Product overview and the object-based framework (instruments, models, pricers), plus a map of which instrument types pair with which models and exercise styles — solves the "where do I start and what connects to what" problem. - **Early (~12%–32%)**: Interest-rate derivatives in depth: bonds and embedded options, FRNs, caps/floors, swaps, swaptions, futures, negative-rate handling, term structures, trees (HJM, BDT, Hull-White), and calibration — the book's mathematical core. - **Middle (~32%–52%)**: Equity, commodity, FX, and energy derivatives: exotic option families (Asian, barrier, lookback, digital, spread, one-touch), tree and closed-form pricing (Black-Scholes, Black, Barone-Adesi-Whaley, Bjerksund-Stensland), and Heston calibration. - **Late (~52%+ of sampled excerpts)**: Portfolio-level workflows and advanced applications — pricing portfolios of instruments, deep-learning approximation of barrier option prices, and cross-model comparison; the excerpts thin out here. - **Ending**: Not covered by the sampled excerpts; the guide cannot map the closing chapters. 【Book Arc note】 The progression is deliberate: framework first, then instrument-by-instrument pricing, then model calibration, then portfolio and advanced techniques. 【Key Takeaways】 - **The object framework is the spine of the toolbox** (Opening): instruments, models, and pricers are separate objects you compose, with mapping tables showing how legacy function calls translate to objects — learn this first and everything else slots in. - **Instrument coverage is broad but structured by asset class** (Early–Middle): rates, equity, commodity, FX, energy, inflation, and credit each get their own instrument catalog with associated models and pricers. - **Calibration is treated as a first-class workflow** (Early–Middle): Hull-White, SABR (including shifted SABR for negative strikes), Bachelier/normal volatilities, and Heston all get step-by-step calibration examples against market data. - **Negative interest rates are handled explicitly** (Early): both function-based and object-based paths are shown, plus shifted SABR for negative-strike swaptions — a sign the manual tracks real market conditions. - **Trees and simulation are presented as complementary engines** (Early–Middle): binomial/trinomial trees for American-style and callable instruments, Monte Carlo (Longstaff-Schwartz) for Bermudan swaptions and swing options. - **Curve construction is foundational** (Early–Middle): bootstrapping swap curves, fitting Diebold-Li, and building ratecurve/defprobcurve objects precede most pricing examples. - **Portfolio workflows appear late** (Middle–Late): creating and pricing a portfolio of instruments, and pricing bond-plus-bond-option portfolios, show how to scale from single trades to books. - **Modern extensions are included** (Late): deep learning to approximate barrier option prices with Heston dynamics signals the manual's coverage of ML-adjacent methods. 【Reading Tips】 - **Start with Chapter 1's mapping tables** (Opening): they tell you which functions and objects you need before you dive into any asset class — skim the rest of Chapter 1. - **Deep-read only your asset class**: rates (Chapter 2) and equity/commodity/FX/energy (Chapter 3) are long; read the sections matching your instruments and treat the rest as reference. - **Run the examples**: this is a code manual — the value is in executing the workflows (curve building → calibration → pricing → sensitivities) rather than reading prose. - **Watch the hard spots**: tree construction (VolSpec/RateSpec/TimeSpec), calibration convergence, and negative-rate modeling reward careful reading; skim the revision history and legal front matter entirely. - **Use it as a lookup, not a cover-to-cover read**: the table of contents is the real index; jump to the workflow you need. 【Coverage Limits】 The sampled excerpts are dominated by front matter and table-of-contents entries; actual chapter prose, code listings, and the book's closing chapters are not represented, so this guide maps structure and topics rather than detailed content.
Page 2
he Program and Documentation, unused, to The MathWorks, Inc. Trademarks MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathwork...
View in text
Page 4
ting-Rate Note . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-10 Floating-Rate Note with an Amortization Schedule . . ....
View in text
Page 6
. . . . . . 2-81 Computing Instrument Sensitivities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-89 HJM Sensitivities Example . . . . . . . ....
View in text
Page 8
Options Using the Longstaff-Schwartz Method . . . . . . . . 3-43 Simulating Electricity Prices with Mean-Reversion and Jump-Diffusion . . . . . . . . . . . ....
View in text
Page 9
. 5-3 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-3 ix Inputs to Functions . . . . . . . . ....
View in text
Page 12
6 Fitting IRFunctionCurve Object Using Svensson Method . . . . . . . . . . . . 9-17 Fitting IRFunctionCurve Object Using Smoothing Spline Method . . . . . ....
View in text
Excerpt 7
on page 1-97 • “Price Weather Derivatives” on page 1-103 1 Financial Instruments Toolbox Product Description Design, price, and hedge complex financial instr...
View in text
Page 20
ter vector for Bond creates a portfolio of bond instruments. InstSet = instadd('Bond', CouponRate, Settle, Maturity, Period, Basis, EndMonthRule, IssueDate,...
View in text
Tags
AI categories
FinanceMatlabData
Publisher: The MathWorks, Inc.
Publish Year: 2022
Language: English
Pages: 4124
File Format: PDF
File Size: 17.2 MB
Text Preview (First 20 pages)
Registered users can read the full content for free

Register as a Gaohf Library member to read the complete e-book online for free and enjoy a better reading experience.

Generating text preview…