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金融建模(以Excel為工具)(英文版)

  • 作者:(美)弗蘭克·休·科格三世
  • 出版社:北京大學
  • ISBN:9787301306888
  • 出版日期:2019/10/01
  • 裝幀:平裝
  • 頁數:424
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內容大鋼
    《金融建模:以Excel為工具(英文版)》基於作者弗蘭克·休米·科格三世(Frank Hugh Koger III)所教的同名課程。在書中,作者將建模理論與金融實踐相結合,系統、全面地闡釋了如何通過Excel工具,建立模型,分析金融問題的方法。具體內容包括投資組合管理、期權、債券、固定收益證券,以及資產定價和風險管理等。書中開篇詳細介紹了Excel操作方法及基本的金融知識,使不具備背景知識和Excel技術的讀者也能夠快速入門。
    《金融建模:以Excel為工具(英文版)》適合作為高年級本科生、研究生以及MBA教材,也是金融從業人員理想的參考書。

作者介紹
(美)弗蘭克·休·科格三世
    弗蘭克·休·科格三世(Frank Hugh Koger III),北京大學?豐商學院教學副教授,特許金融分析師(CFA), 南加利福尼亞大學MBA,杜蘭大學金融學博士,研究領域為公司金融與政治、投資學。曾在美國杜蘭大學、德國波鴻魯爾大學及南方科技大學任教,獲得北京大學?豐商學院及北大深圳研究生院傑出教學獎。曾任Filtration集團總經理,德國Hoechst Celanese全球市場開發經理。

目錄
Preface
About the Author
Part I Basics of Excel Functionality
  Chapter 1  Array Functions; Goal Seek; Data Tables
    1.1  Net Present Value, Internal Rate of Return
    1.2  Excel Functionality of NPV and IRR
    1.3  Example: NPV and IRR
    1.4  Random Variables, Means, Variances, Correlaton Coefficients
    1.5  Future Conditional Means
    1.6  Uniformly Distributed Random Variable
    1.6.1  Conditional Mean of a Uniformly Distributed RV
    1.6.2  Uniformly Distributed Random Variable: U[0,1
    1.7  Historical Performance Metrics
    1.8  Excel Functionality of Random Variables
    1.9  Example: Uniform Distribution
  Chapter 2  Boolean Functions; Excel's PV Function
    2.1  Bond Cash Flows, Timeline, Price, Yield
    2.2  Excel Functionality of Price-yield Curve
    2.3  Example: Bond Cash Flows and Valuation
    2.4  Normally Distributed Random Variable
    2.5  Standard Normally Distributed RV
    2.6  Excel Functionality of a Normal RV
    2.7  Example: Standard Normal Random Variable
  Chapter 3  Regressions in Excel; Matrix Functions
    3.1  Lognormal Distribution of Stock Price
    3.2  Mean, Variance, Correlation Coefficient
    3.3  Excel Functionality of Lognormal Stock Price
    3.4  Example: Lognormal Stock Price Model
    3.5  Ordinary Least Squares Linear Regression
    3.6  Excel Functionality of Linear Regressions
    3.7  Example: Linear Regression
    3.8  Linear Regression with Three Variables
    3.9  Excel Functionality of Extended Regressions
    3.10  Example: Linear Regression with Multiple Drivers
  Chapter 4  Excel's Amortization Functions; VLOOKUP
    4.1  Loan Amortization Schedule
    4.2  Excel Functionality of a Mortgage Schedule
    4.3  Example: Loan Amortization Schedule
    4.4  Option Payoffs on Expiration Date
    4.5  Excel Functionality of Option Expiration Payoffs
    4.6  Example: Option Payoffs; Nested IFs
    4.7  Matrices
    4.8  Excel Functionality of Matrices
    4.9  Example: Matrix Functions
  Chapter 5  Scatter Plot; Polynomial Regressions
    5.1  Parameter Growth
    5.2  Excel Functionality of Parameter Growth
    5.3  Example: Parameter Growth
    5.4  Effective Annual Rates
    5.5  Timeline

    5.6  Excel Functionality of Effective Annual Rates
    5.7  Polynomial Regression
    5.8  Excel Functionality of Polynomial Regression
    5.9  Example: Polynomial Regression
  Chapter 6  Excel's Solver; Excel's IRR Function
    6.1  Capital Budgeting Revisited
    6.2  Excel Functionality of Solver
    6.3  Example: Capital Budgeting and Solver
    6.4  Identity Matrix
    6.5  Excel Functionality of Identity Matrix
    6.6  Example: Identity Matrix
    6.7  Solver Application: Arbitrage Pricing Theory, APT
    6.7.1  Demanded, Expected and Implied Rates
    6.7.2  APT Continued: How to Make a Profit
    6.7.3  Implementing an Arbitrage Portfolio
    6.7.4  Example: Three Assets, Two Systematic Risk Factors
    6.7.5  Example: Four Assets, Two Systematic Risk Factors
Part II Absolute Valuation and Portfolio Management
  Chapter 7  Pro-forma Accounting Statements; Firm Value
    7.1  Growth Rate Calculations
    7.2  Historical Relationships: Income Statement
    7.3  Historical Relationships: Balance Sheet
    7.4  Future Pro-forma Statements for DCF Analysis
Part III Options
Part IV Bonds
Appendices

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