Mathematical Asset Management (PDF)
(Sprache: Englisch)
A practical approach to the mathematical tools needed to increase
portfolio growth, learn successful trading strategies, and manage
the risks associated with market fluctuation
Mathematical Asset Management presents an accessible and
practical...
portfolio growth, learn successful trading strategies, and manage
the risks associated with market fluctuation
Mathematical Asset Management presents an accessible and
practical...
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A practical approach to the mathematical tools needed to increase
portfolio growth, learn successful trading strategies, and manage
the risks associated with market fluctuation
Mathematical Asset Management presents an accessible and
practical introduction to financial derivatives and portfolio
selection while also acting as a basis for further study in
mathematical finance.
Assuming a fundamental background in calculus, real analysis,
and linear algebra, the book uses mathematical tools only as needed
and provides comprehensive, yet concise, coverage of various
topics, such as:
* Interest rates and the connection between present value and
arbitrage
* Financial instruments beyond bonds that serve as building blocks
for portfolios
* Trading strategies and risk performance measures
* Stochastic properties of stock prices
* The difference between expected return and expected growth and
the geometric Brownian motion
* Diversification through the creation of optimal portfolios under
various constraints
* The use of the Capital Asset Pricing Model to accurately
estimate the difference between the return of the market and the
short rate
To further demonstrate the reality of the discussed concepts,
the author analyzes five active stocks over a four-year period and
highlights the different methods and portfolios that exist in
today's economic world. Exercises are also provided throughout the
text, along with the solutions, allowing readers to measure their
understanding of presented techniques as well as see how the
methods work in real life.
Mathematical Asset Management is an excellent book for courses
in mathematical finance, actuarial mathematics, financial
derivatives, and financial engineering at the upper-undergraduate
and graduate levels. It is also a valuable reference for
practitioners in banking, insurance, and asset management
industries.
portfolio growth, learn successful trading strategies, and manage
the risks associated with market fluctuation
Mathematical Asset Management presents an accessible and
practical introduction to financial derivatives and portfolio
selection while also acting as a basis for further study in
mathematical finance.
Assuming a fundamental background in calculus, real analysis,
and linear algebra, the book uses mathematical tools only as needed
and provides comprehensive, yet concise, coverage of various
topics, such as:
* Interest rates and the connection between present value and
arbitrage
* Financial instruments beyond bonds that serve as building blocks
for portfolios
* Trading strategies and risk performance measures
* Stochastic properties of stock prices
* The difference between expected return and expected growth and
the geometric Brownian motion
* Diversification through the creation of optimal portfolios under
various constraints
* The use of the Capital Asset Pricing Model to accurately
estimate the difference between the return of the market and the
short rate
To further demonstrate the reality of the discussed concepts,
the author analyzes five active stocks over a four-year period and
highlights the different methods and portfolios that exist in
today's economic world. Exercises are also provided throughout the
text, along with the solutions, allowing readers to measure their
understanding of presented techniques as well as see how the
methods work in real life.
Mathematical Asset Management is an excellent book for courses
in mathematical finance, actuarial mathematics, financial
derivatives, and financial engineering at the upper-undergraduate
and graduate levels. It is also a valuable reference for
practitioners in banking, insurance, and asset management
industries.
Inhaltsverzeichnis zu „Mathematical Asset Management (PDF)“
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
... mehr
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.
... weniger
Autoren-Porträt von Thomas Höglund
Thomas Höglund, PhD, is Lecturer in the Department of Mathematics at Stockholm University in Sweden, where he participated in the creation of a program in mathematics and economics. A former head mathematician for the Swedish Intelligence Service, Dr. Höglund conducts research in mathematical statistics and probability theory.
Bibliographische Angaben
- Autor: Thomas Höglund
- 2008, 1. Auflage, 232 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470293551
- ISBN-13: 9780470293553
- Erscheinungsdatum: 30.06.2008
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