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FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION

Wayne Winston

Fiyatı:
Table of Contents


Chapter 1: Sensivity Analysis with Data Tables

Introduction to Solver Goal Seek
Using Goal Seek to find the “Indifference Point”
Two Wat Data Tables and an Introduction to Solver
Using Solver to Maximize Profit
Two-Way Data Tables and Desicion Making Under Uncertainty

Chapter 2: Simple Linear Regression-Estimating Fixed and Variable Cost

Fitting a Straight Line to Data
Regression with the Analysis Toolpak: Hypothesis Testing in Regression
Testing the Significance of the Linear Relationship

Chapter 3: Fitting Exponential Grwoth-Estimating the Growth Rate of Microsoft

Accuracy of Forecasts

Chapter 4: The Power Model-Fitting the Learning Curve

Which Curve Fits Best?
Other Trend-line Functions

Chapter 5: Fitting an S-Shaped Curve

The Pearl Curve
The Gompertz Curve

Chapter 6: Using Multiple Regression to Forecast Auto Sales

Interpreting Regression Output
Validation of the Regression

Chapter 7: Using Polynominal Regression to Resolve Nonlinearities

Chapter 8: The Multiplicative Model-Estimating Demand

Chapter 9: Using the Pivot Table Report and Rgression to Analyze Market Efficiency


Using the Pivot Table Report
Using Regression to Look for Market Inefficiencies
Using a Neural Network to Look for Patterns
The January Effect

Chapter 10: Testing Investment Strategies

Chapter 11: The Bass Model for Sales of a Product


Chapter 12: Fitting the Yield Curve

Fitting the Yield Curve
Generating Implied Forward Rates

Chapter 13: Determining Monthly Loan Payments

Using the Solver to Find the Monthly Payment

Chapter 14: Funding a Pension Liability

Chapter 15: Multiperiod Capital Budgeting

Chapter 16: Portfolio Optimization with Solver

Finding the Mean and Variance of a Portfolio
Finding The Efficient Frontier
The Scenario Approach to Portfolio Optimization

Chapter 17: An Introduction to Evolver-The Fixed Charge Problem

An Introduction to Genetic Algorithims
Introduction to Evolver

Chapter 18: Using Evolver to Maximize the Chance of Beating S and P Index

Chapter 19: A Portfolio Approach to Project Selection


Using Evolver to Select the Projects

Chapter 20: Using AHP and Solver for Project Selection

AHP Analysis
Setting Up the Solver Model

Chapter 21: Selecting Drivers for an ABC Costing System

Using Solver to Dtermine an Optimal Set of Drivers

Chapter 22: Pricing Models with Solver

Tie-Ins and Pricing

Chapter 23: Nonlinear Pricing

Finding the Optimal Two-Part Tariff

Chapter 24: Price Bundling

Chapter 25: Duration and Immunization Aganist Interest Rate Risk

Pricing Bonds
Quasi-Modified Duration and Interest Rate Risk
Immunization and Interest Rate Risk
Duration Matching

Chapter 26: Finding Arbitrage Opportunities

An Example with No Arbitrage

Chapter 27: Introduction to @RISK – The Newsperson Problem

Finding Confidence Interval for Expected Profit
Normal Demand

Chapter 28: Simulating a New Product-The Hippo Example

Tornado Graphs and Scenarios

Chapter 29: Using @RISK to Determine Plant Capacity

Chapter 30: Utility Theory and Simulation


Fitting the Utility Curve
Simulating the Capacity Desicion
Finding the Certainty Equivalent of the Optimal Desicion

Chapter 31: Simulating Development of a New Drug

Interpreting the Tornado Graphs

Chapter 32: Using Simulation to Model an Acquisition

Modelling the Cash Flows

Chapter 33: Simulating Pro Forma Financial Statements

Estimation of Model Parameters
Setting Up the Spreadsheet
Running the Simulation

Chapter 34: The Value of a Customer

Chapter 35:The RISKGeneral Function

Chapter 36: Using Data to Obtain Inputs for New Product Simulations


The Scenario Approach to Modelling Volume Uncertainty
Modelling Market Share’s Response to Competition
Simulating Market Share for a New Product
Modelling Price Uncertainty
Simulating the Price of A New Product
Modeling Statistical Relationships with One Independed Variable
Modeling Statistical Relationships Involving More than Independed Variable
Simulating Sales of a New Product with the Bass Model

Chapter 37: Obtaining a Distribution of IRR’s

Chapter 38: Using Presicions Tree to Analyze Desicion Trees


Using Precision Tree
Sensivity Analysis

Chapter 39: Combining TopRank and @RISK for Simulation Analysis

Running an @RISK Simulation

Chapter 40: The Risk Neutral Approach to Option Pricing

Chapter 41: The Lognormal Model of Stock Prices


Risk Neutral Valuation
Finding Mean and Variance of a Lognormal Random Variable

Chapter 42: Pricing European Puts and Calls by Simulation

Using Simulation to Price the Put

Chapter 43: Pricing Exotic Options

Chapter 44: Pricing an “As You Like It” Option

Chapter 45: Finding Value at Risk (VAR) of a Portfolio

Chapter 46: Finding Confidence Intervals for Percentiles


Chapter 47: Doing VAR and Pricing Options Involving Correlated Stocks

Pricing Options on Correlated Stocks

Chapter 48: Computing VAR for Forwards and Futures

Pricing of Futures Contracts

Chapter 49: Hedging with Features

An Overview of Hedging

Chapter 50: Foreign Exchange Options and Hedging Foreign Exchange Risk

Chapter 51: Modeling Mean Reverting Process

Simulating a Mean Reverting Process

Chapter 52: Simulating Exchange Risk: Valuing a Foreign Currency Swap

Where is the Uncertainty?
Simulating the Swap

Chapter 53: Simulating Yield Curve Movements Based on Historical Data

Running an @RISK Simulation of Future Yield Curves
Fixed Rate or ARM?
Valuing Interest Rate Derivatives

Chapter 54: Delta Hedging

Chapter 55: Using the Risk-Neutral Approach to Value Real Options


An Abandonment Option
An Option to Postpone (Based on Trigeorgis (1995) )
Valuing the Option to Expand
Valuing the Option to Contract
A “Pioner” Option

Chapter 56: Pricing an American Option with Binomial Trees

The Stock Price Tree
Computing the Early Exercises Boundary
Simulating the Actual Cash Flows from an American Option

Chapter 57: Using Real Options to Value a Lease on a Gold Mine

Chapter 58: Valuing an Option to Purchase a Company


When Do We Buy?

Chapter 59: M2-A Risk-Adjusted Measure of Portfolio Return

Spreadsheet Implementation of M2

Chapter 60: Maximizing Long-Therm Growth-The Kelly Criteria

Simulating Long-Therm Growth

Chapter 61: @RISK and Macros-The Birthday Problem and Keno

How to Play Keno

Chapter 62: Simulating the NCAA Tournament

Chapter 63: Using the Solver with @RISK


Setting up the Solver Model

@RISK Crib Sheet

@RISK Icons
Graphing
Targets
Extracting Data
Sensivity
Scenario

Section II-@RISK Functions
RISKDiscrete Function
RiskSimtable Function
RISKDUniform Function
Binomial Distribution
The Normal Random Variable
RISKTriang
RISKTrigen Function
RISKUniform Function
The RISKGeneral Function
Modeling Correlations
RISKTNormal Function
RISKPert Function