Description

Book Synopsis
Provides a practical approach to the mathematical tools needed to increase portfolio growth, learn successful trading strategies, and manage the risks associated with market fluctuation.

Trade Review
"This charming book is intermediary between more advanced financial/investment mathematics books and introductory material. In addition, it provides simultaneously mathematical rigor and practicality." (International Statistical Review, April 2009)

"This charming book is intermediary between more advanced financial/investment mathematics books and introductory material. In addition, it provides simultaneously mathematical rigor and practicality." (International Statistical Review, April 2009)

"Mathematical Asset Management is an excellent book for course in mathematical finance, actuarial mathematics, financial derivatives, and financial engineering at the upper-undergraduate and graduate levels. It is also valuable reference for practioners in the banking, insurance, and asset management industries." (Mathematical Reviews, 2009c)



Table of Contents
Preface.

1. Interest Rate.

1.1 Flat Rate.

1.1.1 Compound Interest.

1.1.2 Present Value.

1.1.3 Cash Streams.

1.1.4 Effective Rate.

1.1.5 Bonds.

1.1.6 The Effective Rate as a Measure of Valuation.

1.2 Dependence on the Maturity Date.

1.2.1 Zero-Coupon Bonds.

1.2.2 Arbitrage Free Cash Streams.

1.2.3 The Arbitrage Theorem.

1.2.4 The Movements of the Interest Rate Curve.

1.2.5 Sensitivity to Change of Rates.

1.2.6 Immunization.

1.3 Notes.

2. Further Financial Instruments.

2.1 Stocks.

2.1.1 Earnings, Interest Rate and Stock Price.

2.2 Forwards.

2.3 Options.

2.3.1 European Options.

2.3.2 American Options.

2.3.3 Option Strategies.

2.4 Further Exercises.

2.5 Notes.

3. Trading Strategies.

3.1 Trading Strategies.

3.1.1 Model Assumptions.

3.1.2 Interest Rate.

3.1.3 Exotic Options.

3.2 An Asymptotic Result.

3.2.1 The Model of Cox, Ross and Rubinstein.

3.2.2 An Asymptotic Result.

3.3 Implementing Trading Strategies.

3.3.1 Portfolio Insurance.

4. Stochastic Properties of Stock Prices.

4.1 Growth.

4.1.1 The Distribution of the Growth.

4.1.2 Drift and Volatility.

4.1.3 The Stability of the Volatility Estimator.

4.2 Return.

4.3 Covariation.

4.3.1 The Asymptotic Distribution of the Estimated Covariance Matrix.

5. Trading Strategies with Clock Time Horizon.

5.1 Clock Time Horizon.

5.2 Black-Scholes Pricing Formulas.

5.2.1 Sensitivity to Perturbations.

5.2.2 Hedging a Written Call.

5.2.3 Three Options Strategies Again.

5.3 The Black-Scholes Equation.

5.4 Trading Strategies for Several Assets.

5.4.1 An Unsymmetrical Formulation.

5.4.2 A Symmetrical Formulation.

5.4.3 Examples.

5.5 Notes.

6. Diversification.

6.1 Risk and Diversification.

6.1.1 The Minimum-Variance Portfolio.

6.1.2 Stability of the Estimates of the Weights.

6.2 Growth Portfolios.

6.2.1 The Auxiliary Portfolio.

6.2.2 Maximal Drift.

6.2.3 Constraint on Portfolio Volatility.

6.2.4 Constraints on Total Stock Weight.

6.2.5 Constraints on Total Stock Weight and Volatility.

6.2.6 The Efficient Frontier.

6.2.7 Summary.

6.3 Rebalancing.

6.3.1 The Portfolio Development as a Function of the Development of the Stocks.

6.3.2 Empirical Verification.

6.4 Optimal Portfolios with Positive Weights.

6.5 Notes.

7. Covariation with the Market.

7.1 Beta.

7.1.1 The Market.

7.1.2 Beta Value.

7.2 Portfolios Related to the Market.

7.2.1 The Beta Portfolio.

7.2.2 Stability of the Estimates of the Weights.

7.2.3 Market Neutral Portfolios.

7.3 Capital Asset Pricing Model.

7.3.1 The CAPM-Identity.

7.3.2 Consequences of CAPM.

7.3.3 The Market Portfolio.

7.4 Notes.

8. Performance and Risk measures.

8.1 PerformanceMeasures.

8.2 Risk Measures.

8.2.1 Value at Risk.

8.2.2 Downside Risk.

8.3 Risk Adjustment.

9. Simple Covariation.

9.1 Equal Correlations.

9.1.1 Matrix Calculations.

9.1.2 Optimal Portfolios.

9.1.3 Comparison with the General Model.

9.1.4 Positive Weights.

9.2 Multiplicative Correlations.

9.2.1 Uniqueness of the Parameters.

9.2.2 Matrix Calculations.

9.2.3 Parameter Estimation.

9.2.4 Optimal Portfolios.

9.2.5 Positive Weights.

9.3 Notes.

Appendix A: Answers and solutions to exercises.

References.

Mathematical Asset Management

    Product form

    £105.40

    Includes FREE delivery

    RRP £110.95 – you save £5.55 (5%)

    Order before 4pm tomorrow for delivery by Wed 1 Jul 2026.

    A Hardback by Thomas Höglund

    10 in stock


      View other formats and editions of Mathematical Asset Management by Thomas Höglund

      Publisher: John Wiley & Sons Inc
      Publication Date: 23/05/2008
      ISBN13: 9780470232873, 978-0470232873
      ISBN10: 0470232870

      Description

      Book Synopsis
      Provides a practical approach to the mathematical tools needed to increase portfolio growth, learn successful trading strategies, and manage the risks associated with market fluctuation.

      Trade Review
      "This charming book is intermediary between more advanced financial/investment mathematics books and introductory material. In addition, it provides simultaneously mathematical rigor and practicality." (International Statistical Review, April 2009)

      "This charming book is intermediary between more advanced financial/investment mathematics books and introductory material. In addition, it provides simultaneously mathematical rigor and practicality." (International Statistical Review, April 2009)

      "Mathematical Asset Management is an excellent book for course in mathematical finance, actuarial mathematics, financial derivatives, and financial engineering at the upper-undergraduate and graduate levels. It is also valuable reference for practioners in the banking, insurance, and asset management industries." (Mathematical Reviews, 2009c)



      Table of Contents
      Preface.

      1. Interest Rate.

      1.1 Flat Rate.

      1.1.1 Compound Interest.

      1.1.2 Present Value.

      1.1.3 Cash Streams.

      1.1.4 Effective Rate.

      1.1.5 Bonds.

      1.1.6 The Effective Rate as a Measure of Valuation.

      1.2 Dependence on the Maturity Date.

      1.2.1 Zero-Coupon Bonds.

      1.2.2 Arbitrage Free Cash Streams.

      1.2.3 The Arbitrage Theorem.

      1.2.4 The Movements of the Interest Rate Curve.

      1.2.5 Sensitivity to Change of Rates.

      1.2.6 Immunization.

      1.3 Notes.

      2. Further Financial Instruments.

      2.1 Stocks.

      2.1.1 Earnings, Interest Rate and Stock Price.

      2.2 Forwards.

      2.3 Options.

      2.3.1 European Options.

      2.3.2 American Options.

      2.3.3 Option Strategies.

      2.4 Further Exercises.

      2.5 Notes.

      3. Trading Strategies.

      3.1 Trading Strategies.

      3.1.1 Model Assumptions.

      3.1.2 Interest Rate.

      3.1.3 Exotic Options.

      3.2 An Asymptotic Result.

      3.2.1 The Model of Cox, Ross and Rubinstein.

      3.2.2 An Asymptotic Result.

      3.3 Implementing Trading Strategies.

      3.3.1 Portfolio Insurance.

      4. Stochastic Properties of Stock Prices.

      4.1 Growth.

      4.1.1 The Distribution of the Growth.

      4.1.2 Drift and Volatility.

      4.1.3 The Stability of the Volatility Estimator.

      4.2 Return.

      4.3 Covariation.

      4.3.1 The Asymptotic Distribution of the Estimated Covariance Matrix.

      5. Trading Strategies with Clock Time Horizon.

      5.1 Clock Time Horizon.

      5.2 Black-Scholes Pricing Formulas.

      5.2.1 Sensitivity to Perturbations.

      5.2.2 Hedging a Written Call.

      5.2.3 Three Options Strategies Again.

      5.3 The Black-Scholes Equation.

      5.4 Trading Strategies for Several Assets.

      5.4.1 An Unsymmetrical Formulation.

      5.4.2 A Symmetrical Formulation.

      5.4.3 Examples.

      5.5 Notes.

      6. Diversification.

      6.1 Risk and Diversification.

      6.1.1 The Minimum-Variance Portfolio.

      6.1.2 Stability of the Estimates of the Weights.

      6.2 Growth Portfolios.

      6.2.1 The Auxiliary Portfolio.

      6.2.2 Maximal Drift.

      6.2.3 Constraint on Portfolio Volatility.

      6.2.4 Constraints on Total Stock Weight.

      6.2.5 Constraints on Total Stock Weight and Volatility.

      6.2.6 The Efficient Frontier.

      6.2.7 Summary.

      6.3 Rebalancing.

      6.3.1 The Portfolio Development as a Function of the Development of the Stocks.

      6.3.2 Empirical Verification.

      6.4 Optimal Portfolios with Positive Weights.

      6.5 Notes.

      7. Covariation with the Market.

      7.1 Beta.

      7.1.1 The Market.

      7.1.2 Beta Value.

      7.2 Portfolios Related to the Market.

      7.2.1 The Beta Portfolio.

      7.2.2 Stability of the Estimates of the Weights.

      7.2.3 Market Neutral Portfolios.

      7.3 Capital Asset Pricing Model.

      7.3.1 The CAPM-Identity.

      7.3.2 Consequences of CAPM.

      7.3.3 The Market Portfolio.

      7.4 Notes.

      8. Performance and Risk measures.

      8.1 PerformanceMeasures.

      8.2 Risk Measures.

      8.2.1 Value at Risk.

      8.2.2 Downside Risk.

      8.3 Risk Adjustment.

      9. Simple Covariation.

      9.1 Equal Correlations.

      9.1.1 Matrix Calculations.

      9.1.2 Optimal Portfolios.

      9.1.3 Comparison with the General Model.

      9.1.4 Positive Weights.

      9.2 Multiplicative Correlations.

      9.2.1 Uniqueness of the Parameters.

      9.2.2 Matrix Calculations.

      9.2.3 Parameter Estimation.

      9.2.4 Optimal Portfolios.

      9.2.5 Positive Weights.

      9.3 Notes.

      Appendix A: Answers and solutions to exercises.

      References.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account