A Technical guide to mathematical finance /
Zweig, Derek
A Technical guide to mathematical finance / Derek Zweig - Boca Raton : CRC Press , 2024. - xiii, 232 pages : color illustrations ; 25 cm.
Includes bibliographical references and index.
1. Introduction. 1
.1. Notation and Formatting.
2. Basics.
2.1. Time Value of Money.
2.2. Continuous vs. Discrete Compounding.
3. Fixed Income.
3.1. Opportunity Cost of Capital.
3.2. Gordon Growth Model.
4. Time Series Processes.
4.1. Deterministic Processes.
4.2. Stochastic Processes.
5. Derivative Pricing.
5.1. No Arbitrage and Risk-Neutral Probabilities.
5.2. Black-Scholes-Merton Differential Equation.
5.3. The Black-Scholes-Merton Pricing Formula.
6. Modern Portfolio Theory & CAPM.
6.1. Linear Regression.
6.2. Modern Portfolio Theory.
7. Uncertainty & Value.
7.1. Jenson’s Inequality.
7.2. Time-Declining Discount Rate.
8. Capital Structure Irrelevance.
8.1. Capital Budgeting.
9. Probability of Default.
9.1. Hazard Rates.
10. Appendix.
10.1. Rule of 72.
10.2. Quadratic Equation.
10.3. Forward Rates from Spot Rates.
10.4. Expected Future Spot Price.
A Technical Guide to Mathematical Finance covers those foundational mathematical topics most important to an aspiring or professional quant. The text goes beyond a simple recitation of methods and aims to impart a genuine understanding of the fundamental concepts underpinning most of the techniques and tools routinely used by those working in quantitative finance.
9781032687230
Finance--Mathematical models.
Quantitative finance.
Stochastic processes--Finance.
332.0151 / ZWE
A Technical guide to mathematical finance / Derek Zweig - Boca Raton : CRC Press , 2024. - xiii, 232 pages : color illustrations ; 25 cm.
Includes bibliographical references and index.
1. Introduction. 1
.1. Notation and Formatting.
2. Basics.
2.1. Time Value of Money.
2.2. Continuous vs. Discrete Compounding.
3. Fixed Income.
3.1. Opportunity Cost of Capital.
3.2. Gordon Growth Model.
4. Time Series Processes.
4.1. Deterministic Processes.
4.2. Stochastic Processes.
5. Derivative Pricing.
5.1. No Arbitrage and Risk-Neutral Probabilities.
5.2. Black-Scholes-Merton Differential Equation.
5.3. The Black-Scholes-Merton Pricing Formula.
6. Modern Portfolio Theory & CAPM.
6.1. Linear Regression.
6.2. Modern Portfolio Theory.
7. Uncertainty & Value.
7.1. Jenson’s Inequality.
7.2. Time-Declining Discount Rate.
8. Capital Structure Irrelevance.
8.1. Capital Budgeting.
9. Probability of Default.
9.1. Hazard Rates.
10. Appendix.
10.1. Rule of 72.
10.2. Quadratic Equation.
10.3. Forward Rates from Spot Rates.
10.4. Expected Future Spot Price.
A Technical Guide to Mathematical Finance covers those foundational mathematical topics most important to an aspiring or professional quant. The text goes beyond a simple recitation of methods and aims to impart a genuine understanding of the fundamental concepts underpinning most of the techniques and tools routinely used by those working in quantitative finance.
9781032687230
Finance--Mathematical models.
Quantitative finance.
Stochastic processes--Finance.
332.0151 / ZWE
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