Table of contents for Modeling derivatives applications in MATHLAB, C++, and Excel / Justin London.

Bibliographic record and links to related information available from the Library of Congress catalog.

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					 INDEX 
1.	Swaps and Fixed Income Instruments
1.1	EURODOLLAR FUTURES????????????? 
1.2	TREASURY BILLS AND BONDS???????????..
1.3	COMPUTING TREASURY BILL PRICES AND 
YIELDS IN MATLAB
1.4	HEDGING DEBT POSITIONS????????????? 
1.5	BOND AND SWAP DURATION, MODIFIED DURATION, AND DV01
1.6	TERM STRUCTURE OF RATES????????????? 
1.7	BOOTSTRAP METHOD??????????????? 
1.8	BOOTSTRAPPING IN MATLAB??????????????? 
1.9	BOOTSTRAPPING IN EXCEL??????????????..?.. 
 1.10 GENERAL SWAP PRICING IN MATLAB??????????? 
1.11 SWAP PRICING IN MATLAB USING TERM STRUCTURE ANALYSIS	
1.12 SWAP VALUATION IN C++????????????????.. 
1.13 BERMUDAN SWAPTION PRICING IN MATLAB??????..? 
2.	Monte Carlo and Numerical Methods
2.1 THE MONTE CARLO METHOD					 
2.2 GENERATING SAMPLE PATHS AND NORMAL DEVIATE 
2.3 GENERATING CORRELATED NORMAL RANDOM VARIABLES
2.4 IMPORTANCE SAMPLING
2.5 IMPORTANCE SAMPLING EXAMPLE IN MATLAB
2.6 QUASI-RANDOM SEQUENCES				
2.7 VARIANCE REDUCTION TECHNIQUES
2.8 MONTE CARLO ANTITHETIC EXAMPLE IN MATLAB
2.9 MONTE CARLO IMPLEMENTATION IN C++
2.10 FAST FOURIER TRANSFORM
2.11 FFT IMPLEMENTATION IN MATLAB
2.12 PATH DEPENDENT VALUATION
2.13 MONTE CARLO PRICING OF ASIAN CURRENCY OPTION IN MATLAB
2.14 EXPLICIT DIFFERENCE METHODS
2.15 EXPLICIT FINITE DIFFERENCE IMPLEMENTATION IN C++
2.16 IMPLICIT DIFFERENCE METHOD
2.17 LU DECOMPOSITION METHOD
2.18 LU DECOMPOSITION EXAMPLE IN MATLAB
2.19 IMPLICIT DIFFERENCE EXAMPLE IN MATLAB
2.20 CRANK-NICOLSON SCHEME
2.21 ASIAN OPTION PRICING USING CRANK-NICOLSON IN MATLAB
 3 COPULA FUNCTIONS
3.1 DEFINITION AND BASIC PROPERTIES OF COPULA FUNCTIONS	
3.2 CLASSES OF COPULA FUNCTIONS
3.3 ARCHIMEDEAN COPULAE					
3.4 CALIBRATING COPULAE
 3.4.1 Exact Maximum Likelihood Method (EML)
 3.4.2 The Inference Functions for Margins Method (IFM)
 3.4.3 The Canonical Maximum Likelihood Method (CML)
3.5 NUMERICAL RESULTS FOR CALIBRATING REAL MARKET 
 DATA
 3.5.1. Bouye, Durrelman, Nikeghbali, Riboulet, and Roncalli Method
 3.5.2 Mashal and Zeevi method
4	MORTGAGE-BACKED SECURITIES
4.1 PREPAYMENT MODELS							
4.2 NUMERICAL EXAMPLE OF PREPAYMENT MODEL
4.3 MBS PRICING AND QUOTING
4.4 PREPAYMENT RISK AND AVERAGE LIFE OF MBS
4.5 MBS PRICING USING MONTE CARLO IN C++
4.6 MATLAB FIXED-INCOME TOOLKIT FOR MBS VALUATION	
4.7 COLLATERALIZED MORTGAGE OBLIGATIONS (CMOS)
4.8 CMO IMPLEMENTATION IN C++
4.9 PLANNED AMORTIZATION CLASSES (PACS)
4.10 PRINCIPAL AND INTEREST ONLY STRIPS 
4.11 INTEREST RATE RISK
4.12 DYNAMIC HEDGING OF MBS
 5 COLLATERALIZED DEBT OBLIGATIONS
 5.1 STRUCTURE OF CDOs
 5.2 SYNTHETIC CDOs
 5.3 BALANCE SHEET MANAGEMENT WITH CDSs
5.4 THE DISTRIBUTION OF DEFAULT LOSSES ON A 
PORTFOLIO
5.5 CDO EQUITY TRANCHE
 5.6 CDO TRANCHE PRICING
 5.7 PRICING EQUATION
 5.8 SIMULATION ALGORITHM 
 5.9 CDO PRICING IN MATLAB
 5.10 CDO PRICING IN C++
 5.11 CDO2 PRICING
 5.12 FAST LOSS CALCULATION FOR CDOs AND 
CDO2 s
6 CREDIT DERIVATIVES
 6.1 CREDIT DEFAULT SWAPS
 6.2 CDS DAY COUNTING CONVENTIONS
 6.3 GENERAL VALUATION OF CREDIT DEFAULT SWAPS
 6.4 HAZARD RATE FUNCTION
 6.5 POISSON AND COX PROCESSES
 6.6 VALUATION USING A DETERMINISTIC INTENSITY MODEL
 6.7 HAZARD RATE FUNCTION CALIBRATION
 6.8 CREDIT CURVE CONSTRUCTION AND CALIBRATION
 6.9 CREDIT BASKET DEFAULT SWAPS PRICING
6.9.1 Generation of Correlated Default Stopping Times
6.9.2 Sampling from Elliptical Copulae
 6.9.3 The Distribution of Default Arrival Times
 6.10 CREDIT BASKET PRICING IN MATLAB
 6.11 CREDIT BASKET PRICING IN C++
 6.12 CREDIT LINKED NOTES (CLNs)
7 INTEREST RATE TREE MODELING
 7.1 BUILDING BINOMIAL BDT SHORT TREES
 7.2 BUILDING THE BDT TREE CALIBRATED TO THE YIELD CURVE
 7.3 BUILDING THE BDT TREE CALIBRATED TO THE YIELD AND 
 VOLATILITY CURVE	 
 7.4 	BDT MODELING IN MATLAB
 7.5 BUILDING A BDT TREE IN C++
 7.6 BUILDING A HULL-WHITE TREE CALIBRATED TO THE YIELD CURVE
 7.7 HULL-WHITE TREES IN MATLAB
 7.8 BUILDING A LOGNORMAL HULL-WHITE (BLACK-KARASINKSI) TREE
 7.9 BUILDING HULL-WHITE TREES FITTED TO YIELD AND VOLATILITY 
 CURVES
 7.10 PRICING FIXED INCOME DERIVATIVES WITH THE MODELS IN C++
8 THE HJM MODEL AND BUSHY TREES
 8.1 THE HEATH-JARROW-MORTON (HJM) MODEL
 8.2 PRICING DISCOUNT BOND OPTIONS WITH GAUSSIAN HJM
 8.3 PRICING DISCOUNT BOND OPTIONS IN GENERAL HJM
 8.4 SINGLE-FACTOR HJM DISCRETE-STATE MODEL
 8.5 HJM PRICING IN MATLAB
 8.6 ARBITRAGE FREE RESTRICTIONS IN A SINGLE FACTOR MODEL
 8.7 COMPUTATION OF ARBITRAGE-FREE TERM STRUCURE EVOLUTIONS
 8.8 SINGLE FACTOR HJM IMPLEMENTATION IN C++
 8.9 MATLAB EXCEL LINK EXAMPLE
 8.10 TWO ?FACTOR HJM MODEL
 8.11 TWO?FACTOR HJM MODEL IMPLEMENTATION IN C++			 
 8.12 THE RITCHKEN AND SANKARASUBRAMANIAN (RS) MODEL
 8.13 THE RS SPOT RATE PROCESS	
 8.14 THE LI, RITCHKEN AND SANKARASUBRAMANIAN (LRS) MODEL
 8.15 IMPLEMENTING AN LRS TRINOMIAL TREE
9 WEATHER DERIVATIVES 							 
9.1 WEATHER DERIVATIVES MARKET
 9.2 WEATHER CONTRACTS
 9.3 MODELING TEMPERATURE
 9.4 PARAMETER ESTIMATION
 9.5 VOLATILY ESTIMATION
 9.6 MEAN-REVERSION PARAMATER ESTIMATION
 9.7 PRICING WEATHER DERIVATIVES 
 9.8 HISTORICAL BURN ANALYSIS
 9.9 TIME-SERIES WEATHER FORECASTING
10 ENERGY AND POWER DERIVATIVES
 10.1 ELECTRICITY MARKETS
 10.2 ELECTRICITY PRICING MODELS
 10.3 SWING OPTIONS
 10.4 THE LONGSTAFF-SCHWARTZ ALGORITHM FOR AMERICAN AND 
 BERMUDAN OPTIONS
10.5	 EXTENSION OF LONGSTAFF-SCWARTZ TO SWING OPTIONS	
 10.6 GENERAL CASE: UPSWINGS, DOWNSWINGS, AND PENALTY 
 FUNCTIONS
10.7	 SWING OPTION PRICING IN MATLAB
10.8	 LSM SIMULATION RESULTS
10.9	 PRICING OF ENERGY COMMODITY DERIVATIVES
10.10	JUMP DIFFUSION PRICING MODELS
10.11	STOCHASTIC VOLATILITY PRICING MODELS
10.12	MODEL PARAMETER ESTIMATION
10.13	PARAMETER ESTIMATION IN MATLAB
 10.14 ENERGY COMMODITY MODELS
 10.15 NATURAL GAS
 10.16 GAS PRICING MODELS
 10.17 NATURAL GAS PRICING IN MATLAB
 10.18 NATURAL GAS AND ELECTRICITY SWAPS
11	ASSET-BACKED SECURITIES
11.1 SECURITIZATION									 
11.2 ASSET RATING
11.3 WEIGHTED AVERAGE LIFE
 11.4 ISSUANCE AND PRICING
 11.5 CREDIT ENHANCEMENTS						 	 
 11.6 AMORTIZING ASSETS	 
 11.7 REVOLVING ASSETS 						 		 
 11.8 REVOLVING ASSET CASH FLOWS						
12 COMMERCIAL REAL ESTATE ASSET BACKED SECURITIES 
 12.1 INTRODUCTION
 12.2 MOTIVATIONS FOR ASSET BACKED SECURITIZATION
 12.3 CONCEPTS OF SECURITIZING REAL ESTATE CASH FLOWS
 12.4 COMMERCIAL REAL ESTATE BACKED SECURITIZATION (CREBS) 
 ? SINGAPORE?S EXPERIENCE 
 12.5 STRUCTURE OF A TYPICAL CREBS
 12.5.1 A CREBS case by Visor Limited 
 12.6 PRICING OF CREBS
 12.6.1 Swaps and Swaptions
 12.6.2 The cash flow swap structure for CREBS
 12.7 VALUATION OF CREBS USING A SWAP FRAMEWORK
12.7.1 Basic Swap Valuation Framework
 12.7.2 Pricing of credit risks for CREBS using the proposed swap model
12.7.3 Modeling default risks in the CREBS swap
 12.8 NUMERICAL ANALYSIS OF DEFAULT RISKS FOR A TYPICAL 
 CREBS
12.8.1	Monte-Carlo Simulation Process
12.8.2	Input parameters
12.9	MATLAB CODE FOR THE NUMERICAL ANALYSIS
 12.10 SUMMARY

Library of Congress Subject Headings for this publication:

Derivative securities -- Prices -- Mathematical models.
Credit derivatives -- Mathematical models.
C++ (Computer program language).
MATHLAB.
Microsoft Excel (Computer file).