The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Analysis of Financial Time Series
Abstract
Preface. Preface to First Edition. 1. Financial Time Series and Their Characteristics. 2. Linear Time Series Analysis and Its Applications. 3. Conditional Heteroscedastic Models. 4. Nonlinear Models and Their Applications. 5. High-Frequency Data Analysis and Market Microstructure. 6. Continuous-Time Models and Their Applications. 7. Extreme Values, Quantile Estimation, and Value at Risk. 8. Multivariate Time Series Analysis and Its Applications. 9. Principal Component Analysis and Factor Models. 10. Multivariate Volatility Models and Their Applications. 11. State-Space Models and Kalman Filter. 12. Markov Chain Monte Carlo Methods with Applications. Index.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
The pricing of options and corporate liabilities
Black, F., & Scholes, M. (1973) · Journal of Political Economy · doi:10.1086/260062 · Cited by 29,074
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statistics and Computing · doi:10.1007/978-0-387-21706-2 · Cited by 24,305
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10482531 · Cited by 23,211
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
Hamilton, J. D. (1989) · Econometrica · doi:10.2307/1912559 · Cited by 9,646
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
The Varimax Criterion for Analytic Rotation in Factor Analysis
Kaiser, H. F. (1958) · Psychometrika · doi:10.1007/bf02289233 · Cited by 7,580
On a measure of lack of fit in time series models
LJUNG, G. M., & BOX, G. E. P. (1978) · Biometrika · doi:10.1093/biomet/65.2.297 · Cited by 6,668
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Metropolis, N., & Ulam, S. (1949) · Journal of the American Statistical Association · doi:10.1080/01621459.1949.10483310 · Cited by 6,474
Introduction to Statistical Time Series
McClave, J. T. (1978) · Technometrics · doi:10.1080/00401706.1978.10489651 · Cited by 4,252
The Calculation of Posterior Distributions by Data Augmentation
Tanner, M. A., & Wong, W. H. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478458 · Cited by 3,928
Introduction to Time Series and Forecasting
(2002) · Springer Texts in Statistics · doi:10.1007/b97391 · Cited by 3,807
Statistical Inference Using Extreme Order Statistics
III, J. P. (1975) · The Annals of Statistics · doi:10.1214/aos/1176343003 · Cited by 3,567
A test for independence based on the correlation dimension
Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996) · Econometric Reviews · doi:10.1080/07474939608800353 · Cited by 3,506
Nadaraya, E. A. (1964) · Theory of Probability & Its Applications · doi:10.1137/1109020 · Cited by 3,462
Markov Chains for Exploring Posterior Distributions
Tierney, L. (1994) · The Annals of Statistics · doi:10.1214/aos/1176325750 · Cited by 3,452
Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis
Ramsey, J. B. (1969) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1969.tb00796.x · Cited by 3,352
Box, G. E. P., & Pierce, D. A. (1970) · Journal of the American Statistical Association · doi:10.1080/01621459.1970.10481180 · Cited by 3,234
A Simple General Approach to Inference About the Tail of a Distribution
Hill, B. M. (1975) · The Annals of Statistics · doi:10.1214/aos/1176343247 · Cited by 3,086
Time Series Regression with a Unit Root
Phillips, P. C. B. (1987) · Econometrica · doi:10.2307/1913237 · Cited by 2,814
A Simple Implicit Measure of the Effective Bid‐Ask Spread in an Efficient Market
ROLL, R. (1984) · The Journal of Finance · doi:10.1111/j.1540-6261.1984.tb03897.x · Cited by 2,747
Empirical Performance of Alternative Option Pricing Models
Bakshi, G., Cao, C., & Chen, Z. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb02749.x · Cited by 2,707
Watson, G. S. (1964) · PUB – Publications at Bielefeld University (Bielefeld University) · Cited by 2,661
Applied nonparametric regression
(1991) · Choice Reviews Online · doi:10.5860/choice.29-0364 · Cited by 2,580
Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire
Gnedenko, B. (1943) · The Annals of Mathematics · doi:10.2307/1968974 · Cited by 2,258
Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
Teräsvirta, T. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476462 · Cited by 2,242
Hypothesis testing when a nuisance parameter is present only under the alternative
DAVIES, R. B. (1987) · Biometrika · doi:10.1093/biomet/74.1.33 · Cited by 2,056
Time Series Analysis and Its Applications
Shumway, R. H., & Stoffer, D. S. (2011) · Springer Texts in Statistics · doi:10.1007/978-1-4419-7865-3 · Cited by 2,012
Analysis of time series subject to changes in regime
Hamilton, J. D. (1990) · Journal of Econometrics · doi:10.1016/0304-4076(90)90093-9 · Cited by 1,926
Non-linear time series. A dynamical system approach
Tong, H. (1990) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 1,895
Stock, J. H., & Watson, M. W. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478707 · Cited by 1,894
Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
Engle, R. F., & Russell, J. R. (1998) · Econometrica · doi:10.2307/2999632 · Cited by 1,817
Models for Exceedances Over High Thresholds
Davison, A. C., & Smith, R. L. (1990) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1990.tb01796.x · Cited by 1,715
The frequency distribution of the annual maximum (or minimum) values of meteorological elements
Jenkinson, A. F. (1955) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49708134804 · Cited by 1,549
Multivariate Stochastic Variance Models
Harvey, A., Ruiz, E., & Shephard, N. (1994) · The Review of Economic Studies · doi:10.2307/2297980 · Cited by 1,364
Testing linearity against smooth transition autoregressive models
LUUKKONEN, R., SAIKKONEN, P., & TERÄSVIRTA, T. (1988) · Biometrika · doi:10.1093/biomet/75.3.491 · Cited by 1,363
Bayesian Analysis of Stochastic Volatility Models
Jacquier, E., Polson, N. G., & Rossi, P. E. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410408 · Cited by 1,362
Duffie, D., & Pan, J. (1997) · The Journal of Derivatives · doi:10.3905/jod.1997.407971 · Cited by 1,296
Chen, T., & Chen, H. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.392253 · Cited by 1,230
Chaghaghi, F. S., & Billingsley, P. (1986) · The Statistician · doi:10.2307/2987970 · Cited by 1,217
DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS
McLeod, A. I., & Li, W. K. (1983) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1983.tb00373.x · Cited by 1,123
Neural Networks: A Review from a Statistical Perspective
Cheng, B., & Titterington, D. M. (1994) · Statistical Science · doi:10.1214/ss/1177010638 · Cited by 1,048
Testing and Modeling Threshold Autoregressive Processes
Tsay, R. S. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478760 · Cited by 980
An econometric analysis of nonsynchronous trading
Lo, A. W., & Craig MacKinlay, A. (1990) · Journal of Econometrics · doi:10.1016/0304-4076(90)90098-e · Cited by 798
TESTING FOR GAUSSIANITY AND LINEARITY OF A STATIONARY TIME SERIES
Hinich, M. J. (1982) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1982.tb00339.x · Cited by 784
Outliers, level shifts, and variance changes in time series
Tsay, R. S. (1988) · Journal of Forecasting · doi:10.1002/for.3980070102 · Cited by 722
Smith, R. L. (1989) · Statistical Science · doi:10.1214/ss/1177012400 · Cited by 680
Testing and Modeling Multivariate Threshold Models
Tsay, R. S. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473779 · Cited by 677
Testing for Nonlinear Dependence in Daily Foreign Exchange Rates
Hsieh, D. A. (1989) · The Journal of Business · doi:10.1086/296466 · Cited by 665
Algorithm AS 229: Computing Regression Quantiles
Koenker, R. W., & D'Orey, V. (1987) · Applied Statistics · doi:10.2307/2347802 · Cited by 663
Modeling Multiple Time Series with Applications
Tiao, G. C., & Box, G. E. P. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477728 · Cited by 626
Limiting Distributions of Least Squares Estimates of Unstable Autoregressive Processes
Chan, N. H., & Wei, C.-Z. (1988) · The Annals of Statistics · doi:10.1214/aos/1176350711 · Cited by 622
Maximum Likelihood Fitting of ARMA Models to Time Series With Missing Observations
Jones, R. H. (1980) · Technometrics · doi:10.1080/00401706.1980.10486171 · Cited by 612
MTW, & Tanner, M. A. (1997) · Journal of the American Statistical Association · doi:10.2307/2965746 · Cited by 608
Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
Pourahmadi, M. (1999) · Biometrika · doi:10.1093/biomet/86.3.677 · Cited by 598
Hansen, B. E. (1997) · Studies in Nonlinear Dynamics & Econometrics · doi:10.2202/1558-3708.1024 · Cited by 585
A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling
Carlin, B. P., Polson, N. G., & Stoffer, D. S. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475231 · Cited by 562
ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS
Chan, K. S., & Tong, H. (1986) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1986.tb00501.x · Cited by 561
Stock Market Structure and Volatility
Stoll, H. R., & Whaley, R. E. (1990) · Review of Financial Studies · doi:10.1093/rfs/3.1.37 · Cited by 544
The Multivariate Portmanteau Statistic
Hosking, J. R. M. (1980) · Journal of the American Statistical Association · doi:10.1080/01621459.1980.10477520 · Cited by 527
From value at risk to stress testing: The extreme value approach
Longin, F. M. (2000) · Journal of Banking & Finance · doi:10.1016/s0378-4266(99)00077-1 · Cited by 517
The Asymptotic Distribution of Extreme Stock Market Returns
Longin, F. M. (1996) · The Journal of Business · doi:10.1086/209695 · Cited by 509
Some new results on neural network approximation
Hornik, K. (1993) · Neural Networks · doi:10.1016/s0893-6080(09)80018-x · Cited by 496
Threshold arch models and asymmetries in volatility
Rabemananjara, R., & Zakoian, J. M. (1993) · Journal of Applied Econometrics · doi:10.1002/jae.3950080104 · Cited by 492
Nonlinear Dynamics, Chaos and Instability Statistical Theory and Economic Evidence.
Ray, W. D., Brock, W. A., Hsieh, D. A., & LeBaron, B. D. (1993) · Journal of the Operational Research Society · doi:10.2307/2584373 · Cited by 487
An Introduction to Bispectral Analysis and Bilinear Time Series Models.
Janacek, G., Rao, T. S., & Gabr, M. M. (1987) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981645 · Cited by 462
Likelihood Inference for Discretely Observed Nonlinear Diffusions
Elerian, O., Chib, S., & Shephard, N. (2001) · Econometrica · doi:10.1111/1468-0262.00226 · Cited by 450
Functional-Coefficient Autoregressive Models
Chen, R., & Tsay, R. S. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10594322 · Cited by 430
A canonical analysis of multiple time series
BOX, G. E. P., & TIAO, G. C. (1977) · Biometrika · doi:10.1093/biomet/64.2.355 · Cited by 415
An ordered probit analysis of transaction stock prices
(1990) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 411
MCMC Analysis of Diffusion Models With Application to Finance
Eraker, B. (2001) · Journal of Business & Economic Statistics · doi:10.1198/073500101316970403 · Cited by 394
On the limitations of comparing mean square forecast errors
Clements, M. P., & Hendry, D. F. (1993) · Journal of Forecasting · doi:10.1002/for.3980120802 · Cited by 392
A Self-Organizing State-Space Model
Kitagawa, G. (1998) · Journal of the American Statistical Association · doi:10.2307/2669862 · Cited by 371
Estimation of an Ergodic Diffusion from Discrete Observations
Kessler, M. (1997) · Scandinavian Journal of Statistics · doi:10.1111/1467-9469.00059 · Cited by 369
Limit Theorems for the Maximum Term in Stationary Sequences
Berman, S. M. (1964) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177703551 · Cited by 364
Model Specification in Multivariate Time Series
Tiao, G. C., & Tsay, R. S. (1989) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1989.tb01756.x · Cited by 354
Maximum Likelihood Estimation of Generalized Itô Processes with Discretely Sampled Data
Lo, A. W. (1988) · Econometric Theory · doi:10.1017/s0266466600012044 · Cited by 354
Analysis of high dimensional multivariate stochastic volatility models
Chib, S., Nardari, F., & Shephard, N. (2006) · Journal of Econometrics · doi:10.1016/j.jeconom.2005.06.026 · Cited by 342
Zhang, M. Y., Russell, J. R., & Tsay, R. S. (2001) · Journal of Econometrics · doi:10.1016/s0304-4076(01)00063-x · Cited by 319
Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets
Brenner, R. J., & Kroner, K. F. (1995) · The Journal of Financial and Quantitative Analysis · doi:10.2307/2331251 · Cited by 315
Distribution of the Residual Autocorrelations in Multivariate Arma Time Series Models
Li, W. K., & McLeod, A. I. (1981) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1981.tb01175.x · Cited by 304
On the Estimation of the Extreme-Value Index and Large Quantile Estimation
Dekkers, A. L. M., & Haan, L. D. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347396 · Cited by 292
Forecasting the U.S. Unemployment Rate
Montgomery, A. L., Zarnowitz, V., Tsay, R. S., & Tiao, G. C. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473696 · Cited by 291
Nonlinear Modeling of Time Series Using Multivariate Adaptive Regression Splines (MARS)
Lewis, P. A. W., & Stevens, J. G. (1991) · Journal of the American Statistical Association · doi:10.1080/01621459.1991.10475126 · Cited by 260
Petruccelli, J. D., & Woolford, S. W. (1984) · Journal of Applied Probability · doi:10.1017/s0021900200024670 · Cited by 252
de Haan, L., Resnick, S. I., Rootzén, H., & de Vries, C. G. (1989) · Stochastic Processes and their Applications · doi:10.1016/0304-4149(89)90076-8 · Cited by 250
Likelihood Function of Stationary Multiple Autoregressive Moving Average Models
Hillmer, S. C., & Tiao, G. C. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481666 · Cited by 204
Outliers in multivariate time series
Tsay, R. S. (2000) · Biometrika · doi:10.1093/biomet/87.4.789 · Cited by 171
The Dynamics of Discrete Bid and Ask Quotes
Hasbrouck, J. (1999) · The Journal of Finance · doi:10.1111/0022-1082.00183 · Cited by 171
The magnet effect of price limits: evidence from high-frequency data on Taiwan Stock Exchange
Cho, D. D., Russell, J., Tiao, G. C., & Tsay, R. (2003) · Journal of Empirical Finance · doi:10.1016/s0927-5398(02)00024-5 · Cited by 163
Index Arbitrage and Nonlinear dynamics Between the S&P 500 Futures and Cash
Dwyer, G. P. J., Locke, P. R., & Yu, W. (1996) · Review of Financial Studies · doi:10.1093/rfs/9.1.301 · Cited by 150
BAYESIAN ANALYSIS OF AUTOREGRESSIVE TIME SERIES VIA THE GIBBS SAMPLER
McCulloch, R. E., & Tsay, R. S. (1994) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1994.tb00188.x · Cited by 147
STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS
McCulloch, R. E., & Tsay, R. S. (1994) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1994.tb00208.x · Cited by 140
Lagrange-Multiplier Tests of Multivariate Time-Series Models
Hosking, J. R. M. (1981) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1981.tb01174.x · Cited by 125
Percentage Points of Likelihood Ratio Tests for Threshold Autoregression
Chan, K. (1991) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1991.tb01858.x · Cited by 113
The relative efficiency of method of moments estimators
Gallant, A. R., & Tauchen, G. E. (1999) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00088-8 · Cited by 62
Fourth Generation Management: The New Business Consciousness
Ziegel, E. R., & Joiner, B. (1995) · Technometrics · doi:10.2307/1269158 · Cited by 32
Cited by
Another look at measures of forecast accuracy
Hyndman, R. J., & Koehler, A. B. (2006) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2006.03.001 · Cited by 5,757
A gradient boosting method to improve travel time prediction
Zhang, Y., & Haghani, A. (2015) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2015.02.019 · Cited by 832
Kim, S.-J., Koh, K., Boyd, S., & Gorinevsky, D. (2009) · SIAM Review · doi:10.1137/070690274 · Cited by 615
Shrinkage Algorithms for MMSE Covariance Estimation
Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2053029 · Cited by 567
Early prediction of circulatory failure in the intensive care unit using machine learning
Hyland, S. L., Faltys, M., Hüser, M., Lyu, X., Gumbsch, T., Esteban, C., Bock, C., Horn, M., Moor, M., Rieck, B., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0789-4 · Cited by 477
Metadata
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 2006-05
- Volume
- 48
- Issue
- 2
- Pages
- 316-316
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2134752891
- Cited by
- 2,348
- References
- 105
- Type
- book review
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.