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| PART ONE: BACKGROUND MATERIAL. |
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Goodness of Fit versus Bias. |
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Chapter 3. Factor Models. |
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Arbitrage Pricing Theory. |
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Application: Calculating the Risk on a Portfolio. |
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Application: Calculation of Portfolio Beta. |
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Application: Tracking Basket Design. |
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Chapter 4. Kalman Filtering. |
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The Scalar Kalman Filter. |
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Filtering the Random Walk. |
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Application: Example with the Standard & Poor Index. |
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| PART TWO: STATISTICAL ARBITRAGE. |
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Road Map for Strategy Design. |
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Chapter 6. Pairs Selection in Equity Markets. |
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Common Trends Cointegration Model. |
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Common Trends Model and APT. |
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Interpreting the Distance Measure. |
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Reconciling Theory and Practice. |
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Chapter 7. Testing for Tradability. |
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Estimating the Linear Relationship: The Multifactor Approach. |
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Estimating the Linear Relationship: The Regression Approach. |
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Testing Residual for Tradability. |
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Chapter 8. Trading Design. |
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Band Design for White Noise. |
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| PART THREE: RISK ARBITRAGE PAIRS. |
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Chapter 9. Risk Arbitrage Mechanics. |
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Chapter 10. Trade Execution. |
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Execution During the Pricing Period. |
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Chapter 11. The Market Implied Merger Probability. |
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Implied Probabilities and Arrow-Debreu Theory. |
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Reconciling Theory and Practice. |
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Chapter 12. Spread Inversion. |
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The Observation Equation. |
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Applying the Kalman Filter. |
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