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This book progresses from a review of very basic financial mathematics such as simple and compound interest and the time value of money, to more complex statistical techniques such as generalized autoregressive conditional heteroskedasticity (GARCH) u a technique used in time series analysis. The book is in essence a maths and statistics textbook that is written in the context of the financial world u the book shows the application of the mathematical techniques presented in financial situations.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
1. Interest rates and asset returns. 2. Presentation of data and descriptive statistics. 3. Calculus applied to finance. 4. Probability distributions: applications to asset returns. 5. Statistical inference: confidence intervals and hypothesis testing. 6. Regression analysis. 7. Time-series analysis. 8. Numerical methods. 9. Optimisation. 10. Continuous time mathematics in finance: asset prices as a stochastic process. 11. Multivariate analysis: principal component analysis and factor analysis. 12. Value at risk.
This book progresses from a review of very basic financial mathematics such as simple and compound interest and the time value of money, to more complex statistical techniques such as generalized autoregressive conditional heteroskedasticity (GARCH) u a technique used in time series analysis. The book is in essence a maths and statistics textbook that is written in the context of the financial world u the book shows the application of the mathematical techniques presented in financial situations.
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