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An Introduction to Analysis of Financial Data with R

Detalles Bibliográficos
Autor principal: Tsay, Ruey S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2012.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Tsay, Ruey S. 
245 1 3 |a An Introduction to Analysis of Financial Data with R  |h [electronic resource]. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2012. 
300 |a 1 online resource (416 p.). 
490 1 |a New York Academy of Sciences Ser. ;  |v v.861 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- Preface -- 1: Financial Data and Their Properties -- 1.1 Asset Returns -- 1.2 Bond Yields and Prices -- 1.3 Implied Volatility -- 1.4 R Packages and Demonstrations -- 1.4.1 Installation of R Packages -- 1.4.2 The Quantmod Package -- 1.4.3 Some Basic R Commands -- 1.5 Examples of Financial Data -- 1.6 Distributional Properties of Returns -- 1.6.1 Review of Statistical Distributions and Their Moments -- 1.7 Visualization of Financial Data -- 1.8 Some Statistical Distributions -- 1.8.1 Normal Distribution -- 1.8.2 Lognormal Distribution 
505 8 |a 1.8.3 Stable Distribution -- 1.8.4 Scale Mixture of Normal Distributions -- 1.8.5 Multivariate Returns -- Exercises -- References -- 2: Linear Models for Financial Time Series -- 2.1 Stationarity -- 2.2 Correlation and Autocorrelation Function -- 2.3 White Noise and Linear Time Series -- 2.4 Simple Autoregressive Models -- 2.4.1 Properties of AR Models -- 2.4.2 Identifying Ar Models in Practice -- 2.4.3 Goodness of Fit -- 2.4.4 Forecasting -- 2.5 Simple Moving Average Models -- 2.5.1 Properties of MA Models -- 2.5.2 Identifying MA Order -- 2.5.3 Estimation -- 2.5.4 Forecasting Using MA Models 
505 8 |a 2.6 Simple Arma Models -- 2.6.1 Properties of ARMA(1,1) Models -- 2.6.2 General ARMA Models -- 2.6.3 Identifying ARMA Models -- 2.6.4 Forecasting Using an ARMA Model -- 2.6.5 Three Model Representations for an ARMA Model -- 2.7 Unit-root Nonstationarity -- 2.7.1 Random Walk -- 2.7.2 Random Walk with Drift -- 2.7.3 Trend-stationary Time Series -- 2.7.4 General Unit-root Nonstationary Models -- 2.7.5 Unit-root Test -- 2.8 Exponential Smoothing -- 2.9 Seasonal Models -- 2.9.1 Seasonal Differencing -- 2.9.2 Multiplicative Seasonal Models -- 2.9.3 Seasonal Dummy Variable 
505 8 |a 2.10 Regression Models with Time Series Errors -- 2.11 Long-memory Models -- 2.12 Model Comparison and Averaging -- 2.12.1 In-sample Comparison -- 2.12.2 Out-of-sample Comparison -- 2.12.3 Model Averaging -- Exercises -- References -- 3: Case Studies of Linear Time Series -- 3.1 Weekly Regular Gasoline Price -- 3.1.1 Pure Time Series Model -- 3.1.2 Use of Crude Oil Prices -- 3.1.3 Use of Lagged Crude Oil Prices -- 3.1.4 Out-of-sample Predictions -- 3.2 Global Temperature Anomalies -- 3.2.1 Unit-root Stationarity -- 3.2.2 Trend-nonstationarity -- 3.2.3 Model Comparison 
505 8 |a 3.2.4 Long-term Prediction -- 3.2.5 Discussion -- 3.3 Us Monthly Unemployment Rates -- 3.3.1 Univariate Time Series Models -- 3.3.2 An Alternative Model -- 3.3.3 Model Comparison -- 3.3.4 Use of Initial Jobless Claims -- 3.3.5 Comparison -- Exercises -- References -- 4: Asset Volatility and Volatility Models -- 4.1 Characteristics of Volatility -- 4.2 Structure of a Model -- 4.3 Model Building -- 4.4 Testing for ARCH Effect -- 4.5 The Arch Model -- 4.5.1 Properties of ARCH Models -- 4.5.2 Advantages and Weaknesses of ARCH Models -- 4.5.3 Building an ARCH Model -- 4.5.4 Some Examples 
500 |a 4.6 the Garch Model 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
655 0 |a Electronic books. 
758 |i has work:  |a An introduction to analysis of financial data with R (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGCwqKtJ4D8tvC4G8FmCBd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Tsay, Ruey S.  |t An Introduction to Analysis of Financial Data with R  |d Newark : John Wiley & Sons, Incorporated,c2012  |z 9780470890813 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7104340  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7104340 
994 |a 92  |b IZTAP