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Handbook of Financial Econometrics, Vol 2
Imprint: Elsevier Science
Format: ePub Encrypted (DRM)
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Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. A landmark in its coverage, this volume should propel financial econometric research for years.
Presents a broad survey of current research
Contributors are leading econometricians
Offers a clarity of method and explanation unavailable in other financial econometrics collections
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| Title of Business & Economics eBook: Handbook of Financial Econometrics, Vol 2 | |
| Release Date: 09-08-2009 | |
| Publisher: Elsevier Science |
This eBook download is available in the following formats:
| Parent title | Handbook of Financial Econometrics,... |
|---|---|
| Encrypted (DRM) | Yes |
| SKU | 9780444535498 |
| File size | 2809 |
| Security | n/a |
| Printing | Not allowed |
| Copying | Not allowed |
| Read aloud | No Sys requirements Download reader |
| Devices | Samsung Tablet, Apple Ipad & Iphone, Barnes & Noble Nook, Kobo eReader, Aluratek Libre, Iliad, Nokia, Blackberry, Hanlin |
| Note | Excellent navigation features are available via Adobe such as bookmarks and a quick access table of contents. Text search is easily accessible. An Adobe DRM-protected file is different than a pdf file in that it uses Adobe DRM (Digital Rights Management) technology, which authors and publishers use to protect their content from illegal online distribution and to set certain privileges such as restrictions on copying and printing. |
Handbook of Financial Econometrics, Vol 2
Chapter One
MCMC Methods for Continuous-Time Financial Econometrics
Contents
1. Introduction 2
2. Overview of Bayesian Inference and MCMC 5 2.1. MCMC Simulation and Estimation 5 2.2. Bayesian Inference 6
3. MCMC: Methods and Theory 9 3.1. Clifford-Hammersley Theorem 9 3.2. Gibbs Sampling 10 3.3. Metropolis-Hastings 12 3.4. Convergence Theory 14 3.5. MCMC Algorithms: Issues and Practical Recommendations 20
4. Bayesian Inference and Asset Pricing Models 24 4.1. States Variables and Prices 24 4.2. Time-Discretization: Computing p(Y|X,Θ) and p(X|Θ) 27 4.3. Parameter Distribution 30
5. Asset Pricing Applications 31 5.1. Equity Asset Pricing Models 32 5.2. Term Structure Models
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