Norman R. Swanson

Rutgers University - Department of Economics

Professor

NJ

United States

http://econweb.rutgers.edu/nswanson/

SCHOLARLY PAPERS

71

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66

CROSSREF CITATIONS

260

Scholarly Papers (71)

Trade, Investment and Growth: Nexus, Analysis and Prognosis

Number of pages: 37 Posted: 20 Dec 1998
Kala Krishna, Norman R. Swanson and Ataman Ozyildirim
Pennsylvania State University - Department of Economics, Rutgers University - Department of Economics and The Conference Board
Downloads 376 (79,294)

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Trade, Investment and Growth: Nexus, Analysis and Prognosis

Number of pages: 34 Posted: 22 May 2000
Kala Krishna, Norman R. Swanson and Ataman Ozyildirim
Pennsylvania State University - Department of Economics, Rutgers University - Department of Economics and The Conference Board
Downloads 155 (194,694)

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Trade, Investment, and Growth: Nexus, Analysis, and Prognosis

NBER Working Paper No. w6861
Number of pages: 38 Posted: 11 Jun 2000
Kala Krishna, Norman R. Swanson and Ataman Ozyildirim
Pennsylvania State University - Department of Economics, Rutgers University - Department of Economics and The Conference Board
Downloads 26 (513,420)

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Trade, Investment and Growth: Nexus, Analysis and Prognosis

Journal of Development Economics, Vol. 70, No. 2, pp. 479-499, April 2003
Posted: 09 Sep 2002
Kala Krishna, Norman R. Swanson and Ataman Ozyildirim
Pennsylvania State University - Department of Economics, Rutgers University - Department of Economics and The Conference Board

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reverse causation, exports, global business conditions, growth, investment

Big Data Analytics in Economics: What Have We Learned So Far, and Where Should We Go from Here?

Number of pages: 55 Posted: 14 Jul 2017
Norman R. Swanson and Weiqi Xiong
Rutgers University - Department of Economics and Rutgers, The State University of New Jersey - Department of Economics
Downloads 474 (60,033)
Citation 3

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Convex loss function, Empirical processes, Forecast superiority, General loss function, Big data, Shrinkage, Latent Factors

Big Data Analytics in Economics: What Have We Learned so Far, and Where Should We Go from Here?

Canadian Journal of Economics/Revue canadienne d'économique, Vol. 51, Issue 3, pp. 695-746, 2018
Number of pages: 52 Posted: 02 Aug 2018
Norman R. Swanson and Weiqi Xiong
Rutgers University - Department of Economics and BlackRock, Inc
Downloads 2 (683,394)
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3.

Let's Get 'Real' About Using Economic Data

Number of pages: 22 Posted: 24 Jul 2001
Peter Christoffersen, Eric Ghysels and Norman R. Swanson
University of Toronto - Rotman School of Management, University of North Carolina Kenan-Flagler Business School and Rutgers University - Department of Economics
Downloads 325 (94,425)
Citation 2

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Market efficiency, expectations, news, data revision process

4.
Downloads 283 (109,792)
Citation 34

Predictive Density Evaluation

HANDBOOK OF ECONOMIC FORECASTING, Clive W.J. Granger, Graham Elliot and Allan Timmerman, eds., Elsevier, September 2005
Number of pages: 82 Posted: 07 Mar 2007
Valentina Corradi and Norman R. Swanson
Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 144 (207,065)
Citation 2

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block bootstrap, density and conditional distribution, forecast accuracy testing, mean square error, parameter estimation error, parametric and nonparametric methods, prediction, rolling and recursive estimation scheme

Predictive Density Evaluation

Number of pages: 82 Posted: 04 Oct 2005
Valentina Corradi and Norman R. Swanson
Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 139 (213,138)
Citation 8

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Block bootstrap, density and conditional distribution, forecast accuracy testing, mean square error, parameter estimation error, parametric and nonparametric methods, prediction, rolling and recursive estimation scheme

5.

Consistent Estimation with a Large Number of Weak Instruments

Econometrica, Forthcoming, Yale Cowles Foundation for Research in Economics, Research Paper No. 1417, Rutgers University Economics Working Paper No. 2004-21
Number of pages: 15 Posted: 26 May 2003
John C. Chao and Norman R. Swanson
University of Maryland and Rutgers University - Department of Economics
Downloads 214 (145,577)
Citation 3

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Instrumental Variables, k-class Estimator, Local-to-zero Framework, Pathwise Asymptotics, Weak Instruments

6.

Mining Big Data Using Parsimonious Factor and Shrinkage Methods

Number of pages: 50 Posted: 17 Jul 2013
Hyun Hak Kim and Norman R. Swanson
Department of Economics, Kookmin University and Rutgers University - Department of Economics
Downloads 186 (165,897)
Citation 5

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prediction, independent component analysis, sparse principal component analysis, bagging, boosting, Bayesian model averaging, ridge regression, least angle regression, elastic net and non-negative garotte

7.

Seeing Inside the Black Box: Using Diffusion Index Methodology to Construct Factor Proxies in Largescale Macroeconomic Time Series Environments

FRB of Philadelphia Working Paper No. 08-25
Number of pages: 38 Posted: 07 Mar 2007 Last Revised: 22 Nov 2019
Nii Ayi C. Armah and Norman R. Swanson
Rutgers, The State University of New Jersey - Department of Economics and Rutgers University - Department of Economics
Downloads 163 (186,199)
Citation 4

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diffusion index, factor, forecast, macroeconometrics, parameter estimation error, proxy

8.

Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments

Rutgers University Economics Working Paper No. 2004-20
Number of pages: 62 Posted: 20 Sep 2004
John C. Chao and Norman R. Swanson
University of Maryland and Rutgers University - Department of Economics
Downloads 134 (218,907)
Citation 7

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Heteroskedasticity, instrumental variables, Jackknife estimation, local-to-zero framework, many instruments, pathwise asymptotics, weak instruments

9.

A Predictive Comparison of Some Simple Long Memory and Short Memory Models of Daily U.S. Stock Returns, With Emphasis on Business Cycle Effects

Nonlinear Time Series Analysis of Business Cycles, Forthcoming
Number of pages: 29 Posted: 28 Feb 2007 Last Revised: 11 Sep 2008
Geetesh Bhardwaj and Norman R. Swanson
SummerHaven Investment Management and Rutgers University - Department of Economics
Downloads 131 (222,891)

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fractional integration, long memory, parameter estimation error, stock returns, long

10.

Bootstrap Procedures for Recursive Estimation Schemes with Applications to Forecast Model Selection

Rutgers University Economics Working Paper No: 2004-18
Number of pages: 37 Posted: 20 Sep 2004
Valentina Corradi and Norman R. Swanson
Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 125 (231,026)

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Block bootstrap, recursive estimation scheme, reality check, nonlinear causality, parameter estimation error

11.

Evaluation of Dynamic Stochastic General Equilibrium Models Based on Distributional Comparison of Simulated and Historical Data

Number of pages: 45 Posted: 06 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London
Downloads 122 (235,297)
Citation 3

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12.

Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence

Number of pages: 37 Posted: 15 Jul 2013 Last Revised: 20 Dec 2014
Hyun Hak Kim and Norman R. Swanson
Department of Economics, Kookmin University and Rutgers University - Department of Economics
Downloads 111 (252,033)
Citation 7

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prediction, bagging, boosting, Bayesian model averaging, ridge regression, least angle regression, elastic net and non-negative garotte

13.

Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification with an Application to Bias Correction

Cowles Foundation Discussion Paper No. 1418
Number of pages: 24 Posted: 29 May 2003
John C. Chao and Norman R. Swanson
University of Maryland and Rutgers University - Department of Economics
Downloads 109 (255,260)

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Confluent Hypergeometric Functions, Laplace Approximation, Local-to-zero Asymptotics, Weak Instruments

14.

A Simulation Based Specification Test for Diffusion Processes

Journal of Business and Economic Statistics, Vol. 26, No. 2, pp. 176-193
Number of pages: 32 Posted: 04 Oct 2005 Last Revised: 11 Sep 2008
Geetesh Bhardwaj, Valentina Corradi and Norman R. Swanson
SummerHaven Investment Management, Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 104 (263,753)

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Block bootstrap, diffusion processes, parameter estimation error, simulated GMM, stochastic volatility

15.

Predictive Inference for Integrated Volatility

Number of pages: 54 Posted: 06 Mar 2007
Valentina Corradi, Walter Distaso and Norman R. Swanson
Queen Mary, University of London, Imperial College Business School and Rutgers University - Department of Economics
Downloads 101 (269,074)
Citation 7

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Diffusions, integrated volatility, realized volatility measures, kernels, microstructure noise, conditional confidence intervals, jumps, prediction

16.

Nonparametric Bootstrap Procedures for Predictive Inference Based on Recursive Estimation Schemes

Number of pages: 48 Posted: 04 Oct 2005
Valentina Corradi and Norman R. Swanson
Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 97 (276,305)
Citation 11

Abstract:

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Block bootstrap, recursive estimation scheme, reality check, nonlinear causality, parameter estimation error

17.

Mining Big Data Using Parsimonious Factor, Machine Learning, Variable Selection and Shrinkage Methods

Number of pages: 29 Posted: 15 Mar 2016
Hyun Hak Kim and Norman R. Swanson
Department of Economics, Kookmin University and Rutgers University - Department of Economics
Downloads 93 (284,003)
Citation 5

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18.

Latent Common Return Volatility Factors: Capturing Elusive Predictive Accuracy Gains When Forecasting Volatility

Number of pages: 44 Posted: 14 Jul 2017
Mingmian Cheng, Norman R. Swanson and Xiye Yang
Department of Finance, Lingnan (University) College, Sun Yat-sen University, Rutgers University - Department of Economics and Rutgers, The State University of New Jersey - Department of Economics
Downloads 91 (287,991)
Citation 1

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Forecasting, Latent common volatility factor, Dimension reduction, Factor-augmented regression, High-frequency data, High-dimensional data

19.

Predictive Density Estimators for Daily Volatility Based on the Use of Realized Measures

Number of pages: 40 Posted: 04 Oct 2005
Valentina Corradi, Walter Distaso and Norman R. Swanson
Queen Mary, University of London, Imperial College Business School and Rutgers University - Department of Economics
Downloads 83 (305,069)

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Diffusions, integrated volatility, realized volatility measures, kernels, microstructure noise

20.

Financial Econometrics and Big Data: A Survey of Volatility Estimators and Tests for the Presence of Jumps and Co-Jumps

Handbook of Statistics, Forthcoming
Number of pages: 70 Posted: 17 Aug 2018
Arpita Mukherjee, Weijia Peng, Norman R. Swanson and Xiye Yang
Rutgers University, New Brunswick - Department of Economics, Rutgers University, New Brunswick - Department of Economics, Rutgers University - Department of Economics and Rutgers, The State University of New Jersey - Department of Economics
Downloads 79 (314,129)

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Financial econometrics, Integrated volatility, Nonparametric estimator, Continuous time model, Jumps, Co-jumps, Big data, High-frequency data

21.

Empirical Evidence on the Importance of Aggregation, Asymmetry, and Jumps for Volatility Prediction

Number of pages: 43 Posted: 29 Jul 2013
Diep Duong and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
Downloads 79 (314,129)

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realized volatility, jump power variations, downside risk, semivariances, market microstructure, volatility forecasts, jump test

22.

Robust Forecast Comparison

Number of pages: 57 Posted: 14 May 2015 Last Revised: 15 Mar 2016
Sainan Jin, Valentina Corradi and Norman R. Swanson
Singapore Management University, University of Surrey - School of Economics and Rutgers University - Department of Economics
Downloads 78 (316,481)
Citation 2

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Convex loss function, Empirical processes, Forecast superiority, General loss function

23.

The Effect of Data Transformation on Common Cycle, Cointegration, and Unit Root Tests: Monte Carlo Results and a Simple Test

Number of pages: 38 Posted: 07 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London
Downloads 78 (316,481)
Citation 4

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24.

Prediction and Simulation Using Simple Models Characterized by Nonstationarity and Seasonality

Number of pages: 23 Posted: 01 Mar 2007 Last Revised: 10 Aug 2013
Norman R. Swanson and Richard Urbach
Rutgers University - Department of Economics and DFA Capital Management, Inc.
Downloads 68 (341,783)

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seasonal unit root, periodic autoregression, difference stationary, prediction, simulation

25.

Bootstrap Specification Tests for Diffusion Processes

Number of pages: 37 Posted: 07 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London
Downloads 66 (347,229)
Citation 4

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26.

Predictive Density and Conditional Confidence Interval Accuracy Tests

Rutgers University Economics Working Paper No. 2004-23
Number of pages: 42 Posted: 20 Sep 2004
Valentina Corradi and Norman R. Swanson
Queen Mary, University of London and Rutgers University - Department of Economics
Downloads 64 (352,843)
Citation 11

Abstract:

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Block bootstrap, recursive estimation scheme, reality check, nonlinear causality, parameter estimation error

27.

The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus - Simple Linear Econometric Models

Number of pages: 25 Posted: 04 Oct 2005
Oleg Korenok and Norman R. Swanson
Virginia Commonwealth University - School of Business and Rutgers University - Department of Economics
Downloads 63 (355,724)
Citation 1

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Sticky price, sticky information, predictive density, model selection

28.

Nowcasting and Forecasting GDP in Emerging Markets Using Global Financial and Macroeconomic Diffusion Indexes

Number of pages: 33 Posted: 26 Jul 2018
Oguzhan Cepni, Ibrahim Guney and Norman R. Swanson
Government of the Republic of Turkey - Central Bank of the Republic of Turkey, Government of the Republic of Turkey - Central Bank of the Republic of Turkey and Rutgers University - Department of Economics
Downloads 59 (367,556)

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diffusion index, dimension reduction methods, emerging markets, factor model, forecasting, variable selection

29.

How Sticky is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models

Number of pages: 48 Posted: 04 Oct 2005
Oleg Korenok and Norman R. Swanson
Virginia Commonwealth University - School of Business and Rutgers University - Department of Economics
Downloads 56 (377,022)
Citation 3

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Sticky price, sticky information, empirical distribution, model selection

30.

Volatility in Discrete and Continuous Time Models: A Survey with New Evidence on Large and Small Jumps

Number of pages: 54 Posted: 15 Jul 2013
Diep Duong and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
Downloads 52 (389,966)

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Itô semi-martingale, realized volatility, jumps, multipower variation, tripower variation, truncated power variation, quarticity, infinite activity jumps

31.

Book Review of 'Statistical Foundations for Econometric Techniques' by Asad Zaman

Number of pages: 5 Posted: 20 Nov 2008
Norman R. Swanson
Rutgers University - Department of Economics
Downloads 51 (393,378)

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efficiency, robust estimation, empirical Bayes

32.

A Test for Comparing Multiple Misspecified Conditional Distributions

Number of pages: 32 Posted: 07 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London
Downloads 50 (396,780)
Citation 1

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33.

Methods for Pastcasting, Nowcasting and Forecasting Using Factor-MIDAS: With an Application to Korean GDP

Number of pages: 50 Posted: 14 Jul 2017
Hyun Hak Kim and Norman R. Swanson
Department of Economics, Kookmin University and Rutgers University - Department of Economics
Downloads 48 (403,666)
Citation 1

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nowcasting, forecasting, factor model, MIDAS

34.

A Survey of Recent Advances in Forecast Accuracy Comparison Testing, With an Extension to Stochastic Dominance

Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis: Essays in Honor of Halbert L. White Jr., Springer, 2012
Number of pages: 26 Posted: 15 Jul 2013
Valentina Corradi and Norman R. Swanson
University of Warwick - Department of Economics and Rutgers University - Department of Economics
Downloads 48 (403,666)

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block bootstrap, recursive estimation scheme, reality check, parameter estimation error

35.

Bootstrap Conditional Distribution Tests in the Presence of Dynamic Misspecification

Number of pages: 28 Posted: 06 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London
Downloads 46 (410,792)
Citation 11

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36.

Testing for Structural Stability of Factor Augmented Forecasting Models

Journal of Econometrics, Forthcoming
Number of pages: 53 Posted: 16 Jul 2013
Valentina Corradi and Norman R. Swanson
University of Warwick - Department of Economics and Rutgers University - Department of Economics
Downloads 45 (414,482)
Citation 1

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diffusion index, factor loading stability, forecast failure, forecast stability, regression coefficients stability

37.

In- and Out-of-Sample Specification Analysis of Spot Rate Models: Further Evidence for the Period 1982-2008

Number of pages: 36 Posted: 31 May 2011
Norman R. Swanson and Lili Cai
Rutgers University - Department of Economics and affiliation not provided to SSRN
Downloads 45 (414,482)

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interest rate, multi-factor diffusion process, specification test, out-of-sample forecasts, block bootstrap

38.

Combining Two Consistent Estimators

In: Essays in Honor of Jerry Hausman: Advances in Econometrics, Volume 29, Emerald, New York, 2012
Number of pages: 20 Posted: 15 Jul 2013
University of Maryland, Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics, Rutgers University - Department of Economics and University of Arizona
Downloads 40 (433,676)

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endogeneity, instrumental variables, jackknife estimation, many moments, Hausman (1978) test

39.

Empirical Evidence on Jumps and Large Fluctuations in Individual Stocks

Number of pages: 36 Posted: 15 Jul 2013
Diep Duong and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
Downloads 40 (433,676)
Citation 1

Abstract:

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Itô semi-martingale, realized volatility, jumps, multipower variation, tripower variation, truncated power variation, quarticity, infinite activity jumps

40.

Predictive Inference Under Model Misspecification with an Application to Assessing the Marginal Predictive Content of Money for Output

FORECASTING IN THE PRESENCE OF STRUCTURAL BREAKS AND MODEL UNCERTAINTY, Mark Wohar, ed., Elsevier, 2006
Number of pages: 37 Posted: 06 Mar 2007
Nii Ayi C. Armah and Norman R. Swanson
Rutgers, The State University of New Jersey - Department of Economics and Rutgers University - Department of Economics
Downloads 40 (433,676)

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block bootstrap, forecasting, recursive estimation scheme, rolling estimation scheme, model misspecification, nonlinear causality, parameter estimation error, prediction

41.

Information in the Revision Process of Real-Time Datasets

FRB of Philadelphia Working Paper No. 08-27
Number of pages: 28 Posted: 30 Oct 2008
University of Warwick - Department of Economics, Universidad de los Andes, Colombia and Rutgers University - Department of Economics
Downloads 39 (437,845)
Citation 12

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bias, efficiency, generically comprehensive tests, rationality

42.

The Real-Time Predictive Content of Money for Output

BIS Working Paper No. 96
Number of pages: 34 Posted: 13 Dec 2005
Jeffery D. Amato and Norman R. Swanson
Goldman Sachs International and Rutgers University - Department of Economics
Downloads 39 (437,845)
Citation 2

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43.

International Evidence on the Efficacy of New-Keynesian Models of Inflation Persistence

Number of pages: 42 Posted: 06 Mar 2007
Oleg Korenok and Norman R. Swanson
Virginia Commonwealth University - School of Business and Rutgers University - Department of Economics
Downloads 38 (441,935)
Citation 5

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sticky price, sticky information, empirical distribution, model selection

44.

Consistent Pretesting for Jumps

Number of pages: 33 Posted: 12 Jun 2014
Valentina Corradi, Mervyn J Silvapulle and Norman R. Swanson
University of Surrey - School of Economics, Monash University - Department of Econometrics & Business Statistics and Rutgers University - Department of Economics
Downloads 36 (450,311)
Citation 2

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45.

The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models vs. Simple Linear Econometric Models

Oxford Bulletin of Economics & Statistics, Vol. 67, No. S1, pp. 905-930, December 2005
Number of pages: 26 Posted: 03 Feb 2006
Oleg Korenok and Norman R. Swanson
Virginia Commonwealth University - School of Business and Rutgers University - Department of Economics
Downloads 35 (454,568)
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46.

Predicting Inflation: Does the Quantity Theory Help?

Economic Inquiry, Vol. 43, Issue 3, pp. 570-585, 2005
Number of pages: 16 Posted: 05 Jun 2006
Lance Bachmeier and Norman R. Swanson
Kansas State University and Rutgers University - Department of Economics
Downloads 30 (477,651)
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47.

Testing for Jumps and Jump Intensity Path Dependence

Number of pages: 37 Posted: 14 Jul 2017
Valentina Corradi, Mervyn J Silvapulle and Norman R. Swanson
University of Surrey - School of Economics, Monash University - Department of Econometrics & Business Statistics and Rutgers University - Department of Economics
Downloads 29 (482,564)

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diffusion model, jump intensity, jump size density, tricity

48.

Testing Overidentifying Restrictions with Many Instruments and Heteroskedasticity

Number of pages: 15 Posted: 15 Jul 2013
University of Maryland, Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics, Rutgers University - Department of Economics and University of Arizona
Downloads 29 (482,564)
Citation 6

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heteroskedasticity, instrumental variables, jackknife estimation, many instruments, weak instruments

49.

Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments

Number of pages: 61 Posted: 31 May 2011
University of Maryland, Rutgers University - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics and University of Arizona
Downloads 29 (482,564)
Citation 6

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50.

Some Variables are More Worthy than Others: New Diffusion Index Evidence on the Monitoring of Key Economic Indicators

Number of pages: 34 Posted: 15 Jul 2013
Nii Ayi C. Armah and Norman R. Swanson
Rutgers, The State University of New Jersey - Department of Economics and Rutgers University - Department of Economics
Downloads 26 (498,610)
Citation 1

Abstract:

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diffusion index, factor, forecast, macroeconometrics, monetary policy, parameter estimation error, proxy, federal reserve bank

51.

Predictive Density Construction and Accuracy Testing with Multiple Possibly Misspecified Diffusion Models

FRB of Philadelphia Working Paper No. 09-29
Number of pages: 40 Posted: 26 Oct 2009
Valentina Corradi and Norman R. Swanson
University of Warwick - Department of Economics and Rutgers University - Department of Economics
Downloads 24 (509,810)
Citation 1

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Block bootstrap, diffusion processes, jumps, nonparametric simulated quasi maximum likelihood, parameter estimation error, recursive estimation, stochastic volatility

52.

Temporal Aggregation and Spurious Instantaneous Causality in Multiple Time Series Models

Journal of Time Series Analysis, Vol. 23, pp. 651-665, 2002
Number of pages: 15 Posted: 14 Feb 2003
Jorg Breitung and Norman R. Swanson
Humboldt-Universitat Zu Berlin and Rutgers University - Department of Economics
Downloads 24 (509,810)
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53.

Jump Spillover and Risk Effects on Excess Returns in the United States During the Great Recession

Number of pages: 42 Posted: 26 Jul 2018
Jessica Schlossberg and Norman R. Swanson
Rutgers University, New Brunswick - Department of Economics and Rutgers University - Department of Economics
Downloads 23 (515,487)

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High-Frequency Jumps, Jump Spillover, Jump Risks, Excess Returns, ETFs, Great Recession, High-Frequency Data

54.

Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets

In: Recent Advances in Estimating Nonlinear Models: With Applications in Economics and Finance, Springer, New York, 2013, Forthcoming
Number of pages: 25 Posted: 16 Jul 2013
Kihwan Kim and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
Downloads 22 (521,428)

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forecasting, diffusion index, mixed frequency, recursive estimation, Kalman filter

55.

An Expository Note on the Existence of Moments of Fuller and HFUL Estimators

In: Essays in Honor of Jerry Hausman: Advances in Econometrics, Volume 29, Emerald, New York, 2012
Number of pages: 20 Posted: 16 Jul 2013
University of Maryland, Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics, Rutgers University - Department of Economics and University of Arizona
Downloads 22 (521,428)

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endogeneity, instrumental variables, jackknife estimation, many moments, existence of moments

56.

Nonparametric Bootstrap Procedures for Predictive Inference Based on Recursive Estimation Schemes

International Economic Review, Vol. 48, No. 1, pp. 67-109, February 2007
Number of pages: 43 Posted: 08 Feb 2007
Valentina Corradi and Norman R. Swanson
University of Warwick - Department of Economics and Rutgers University - Department of Economics
Downloads 22 (521,428)
Citation 1
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57.

Are Statistical Reporting Agencies Getting it Right? Data Rationality and Business Cycle Asymmetry

Journal of Business and Economic Statistics, Vol. 24, pp. 24-42, 2006
Number of pages: 38 Posted: 16 Jul 2013
Norman R. Swanson and Dick J. C. van Dijk
Rutgers University - Department of Economics and Erasmus University Rotterdam - Erasmus School of Economics - Econometric Institute
Downloads 20 (533,167)

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efficiency, real-time data set, unbiasedness, non-linearity, structural change

58.

Forecasting Volatility Using Double Shrinkage Methods

Number of pages: 47 Posted: 23 Aug 2019
Mingmian Cheng, Norman R. Swanson and Xiye Yang
Department of Finance, Lingnan (University) College, Sun Yat-sen University, Rutgers University - Department of Economics and Rutgers, The State University of New Jersey - Department of Economics
Downloads 19 (539,208)

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Forecasting, Latent Common Volatility Factor, Dimension Reduction, Factoraugmented Regression, High-Frequency Data, High-Dimensional Data

59.

Predicting Interest Rates Using Shrinkage Methods, Real-Time Diffusion Indexes, and Model Combinations

Number of pages: 36 Posted: 26 Jul 2018
Norman R. Swanson and Weiqi Xiong
Rutgers University - Department of Economics and Rutgers, The State University of New Jersey - Department of Economics
Downloads 19 (539,208)

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Real-Time Forecasting, Dynamic Nelson-Siegel Model, Term Structure of Interest Rates, Realtime Dataset, FRED-MD, Real-Time Diffusion Index

60.

Instrumental Variable Estimation with Heteroskedasticity and Many Instruments

Number of pages: 46 Posted: 15 Jul 2013
Massachusetts Institute of Technology (MIT) - Department of Economics, Massachusetts Institute of Technology (MIT) - Department of Economics, University of Arizona, University of Maryland and Rutgers University - Department of Economics
Downloads 18 (545,209)
Citation 7

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Instrumental Variables, Jackknife, Many Instruments, Heteroskedasticity

61.

Diffusion Index Models and Index Proxies: Recent Results and New Directions

European Journal of Pure and Applied Mathematics, Vol. 3, No. 3, 2010, 478-501
Number of pages: 24 Posted: 15 Jul 2013
Nii Ayi C. Armah and Norman R. Swanson
Rutgers, The State University of New Jersey - Department of Economics and Rutgers University - Department of Economics
Downloads 18 (545,209)

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diffusion index, factor, forecast, macroeconometrics, parameter estimation error, proxy

62.

Real-Time Datasets Really Do Make a Difference: Definitional Change, Data Release, and Forecasting

FRB of Philadelphia Working Paper No. 09-28
Number of pages: 37 Posted: 26 Oct 2009
Andrés Fernández Martin and Norman R. Swanson
Universidad de los Andes, Colombia and Rutgers University - Department of Economics
Downloads 18 (545,209)

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Bias, efficiency, generically comprehensive tests, rationality, preliminary, final, real-time data

63.

Forecasting and Nowcasting Emerging Market GDP Growth Rates: The Role of Latent Global Economic Policy Uncertainty and Macroeconomic Data Surprise Factors

Number of pages: 47 Posted: 02 Jan 2019
Oguzhan Cepni, Ibrahim Guney and Norman R. Swanson
Government of the Republic of Turkey - Central Bank of the Republic of Turkey, Government of the Republic of Turkey - Central Bank of the Republic of Turkey and Rutgers University - Department of Economics
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64.

Fixed and Long Time Span Jump Tests: New Monte Carlo and Empirical Evidence

Number of pages: 41 Posted: 02 Jan 2019
Mingmian Cheng and Norman R. Swanson
Department of Finance, Lingnan (University) College, Sun Yat-sen University and Rutgers University - Department of Economics
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Jump Test, Jump Intensity, Sequential Testing Bias, Fixed Time Span, Long Time Span, High-Frequency Data

65.

Density and Conditional Distribution Based Specification Analysis

Distribution Based Specification Analysis, Chapter 56, May 2012
Number of pages: 27 Posted: 16 Jul 2013
Diep Duong and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
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multi-factor diffusion process, specification test, out-of-sample forecasts, conditional distribution, model selection, block bootstrap, jump process

66.

Mixing Mixed Frequency and Diffusion Indices in Good Times and in Bad

Number of pages: 40 Posted: 14 Jul 2017
Kihwan Kim and Norman R. Swanson
Rutgers, The State University of New Jersey - New Brunswick/Piscataway and Rutgers University - Department of Economics
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Forecasting, Diffusion index, Mixed frequency data, Factor model, Recursive estimation, Kalman filter

67.

Forecast Evaluation

Number of pages: 40 Posted: 23 Aug 2019
Mingmian Cheng, Norman R. Swanson and Chun Yao
Department of Finance, Lingnan (University) College, Sun Yat-sen University, Rutgers University - Department of Economics and Rutgers University - Department of Economics
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Forecasting, Predictive Accuracy Test, Density, Loss Function

68.

New Evidence of the Marginal Predictive Content of Small and Large Jumps

Number of pages: 59 Posted: 23 Aug 2019
Bo Yu, Bruce Mizrach and Norman R. Swanson
Rutgers University, New Brunswick - Department of Economics, Rutgers University, Department of Economics and Rutgers University - Department of Economics
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Forecasting, Integrated Volatility, High-Frequency Data, Jumps, Realized Skewness, Cross-Sectional Stock Returns, Signed Jump Variation

69.

An Empirical Investigation of the Usefulness of Arfima Models for Predicting Macroeconomic and Financial Time Series

Journal of Econometrics, Vol. 131, No. 1-2, pp. 539-578
Posted: 17 Sep 2004 Last Revised: 11 Sep 2008
Geetesh Bhardwaj and Norman R. Swanson
SummerHaven Investment Management and Rutgers University - Department of Economics

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fractional integration, long memory, parameter estimation error, stock returns, long horizon prediction

70.

Some Recent Developments in Predictive Accuracy Testing with Nested Models and (Generic) Nonlinear Alternatives

International Journal of Forecasting, Forthcoming
Posted: 07 Sep 2003
Norman R. Swanson and Valentina Corradi
Rutgers University - Department of Economics and Queen Mary, University of London

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71.

A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks

Review of Economics and Statistics, Vol. 79, No. 4, November 1997
Posted: 22 Mar 1998
Norman R. Swanson and Halbert L. White, Jr.
Rutgers University - Department of Economics and University of California, San Diego (UCSD) - Department of Economics

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