IDEAS home Printed from https://ideas.repec.org/e/pje71.html
   My authors  Follow this author

Mark J. Jensen

Not to be confused with: Mark Jansen

Personal Details

First Name:Mark
Middle Name:J.
Last Name:Jensen
Suffix:
RePEc Short-ID:pje71
[This author has chosen not to make the email address public]
Federal Reserve Bank of Atlanta 1000 Peachtree Street, NE Atlanta, GA 30309-4470

Affiliation

Economic Research Department
Federal Reserve Bank of Atlanta

Atlanta, Georgia (United States)
http://www.frbatlanta.org/research/
RePEc:edi:efrbaus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Mark Fisher & Mark J. Jensen & Paula A. Tkac, 2019. "Bayesian Nonparametric Learning of How Skill Is Distributed across the Mutual Fund Industry," FRB Atlanta Working Paper 2019-3, Federal Reserve Bank of Atlanta.
  2. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
  3. Mark J. Jensen, 2015. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," FRB Atlanta Working Paper 2015-12, Federal Reserve Bank of Atlanta.
  4. Mark J. Jensen & John M. Maheu, 2014. "Risk, Return, and Volatility Feedback: A Bayesian Nonparametric Analysis," FRB Atlanta Working Paper 2014-6, Federal Reserve Bank of Atlanta.
  5. William Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 2012. "A Single-Blind Controlled Competition Among Tests For Nonlinearity And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201219, University of Kansas, Department of Economics, revised Sep 2012.
  6. Mark J. Jensen & John M. Maheu, 2012. "Bayesian semiparametric multivariate GARCH modeling," FRB Atlanta Working Paper 2012-09, Federal Reserve Bank of Atlanta.
  7. William Barnett & Yi Liu & Haiyang Xu & Mark Jensen, 2012. "The CAPM Risk Adjustment Needed for Exact Aggregation over Financial Assets," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201215, University of Kansas, Department of Economics, revised Sep 2012.
  8. Mark J. Jensen & John M. Maheu, 2012. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," FRB Atlanta Working Paper 2012-06, Federal Reserve Bank of Atlanta.
  9. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
  10. Mark J. Jensen, 2006. "The long-run Fisher effect: can it be tested?," FRB Atlanta Working Paper 2006-11, Federal Reserve Bank of Atlanta.
  11. Jensen, Mark J, 1999. "Using wavelets to obtain a consistent ordinary least squares estimator of the long-memory parameter," MPRA Paper 39152, University Library of Munich, Germany.
  12. Mark J. Jensen, 1999. "An Approximate Wavelet MLE of Short- and Long-Memory Parameters," Computing in Economics and Finance 1999 1243, Society for Computational Economics.
  13. SangKun Bae & Mark J. Jensen, 1998. "Long-Run Neutrality in a Long-Memory Model," Macroeconomics 9809006, University Library of Munich, Germany, revised 21 Apr 1999.
  14. Francisco Cribari-Neto & Mark J. Jensen & Alvaro C. Novo, 1997. "Research in Econometric Theory: Quantitative and Qualitative Productivity Rankings," Econometrics 9711001, University Library of Munich, Germany, revised 04 Mar 1998.
  15. Mark J. Jensen, 1997. "An Alternative Maximum Likelihood Estimator of Long-Memeory Processes Using Compactly Supported Wavelets," Econometrics 9709002, University Library of Munich, Germany.
  16. Mark J. Jensen, 1995. "A Homotopy Approach to Solving Nonlinear Rational Expectation Problems," Computational Economics 9506002, University Library of Munich, Germany.
  17. Mark J. Jensen, 1995. "OLS Estimate of Fractional Differencing Parameter Using Wavelets Derived from Smoothing Kernels," Econometrics 9506002, University Library of Munich, Germany.
  18. Jensen, Mark J, 1995. "A Monte Carlo study on two methods of calculating the MLEs covariance matrix in a seemingly unrelated nonlinear regression," MPRA Paper 39020, University Library of Munich, Germany.
  19. Mark J. Jensen, 1994. "Wavelet Analysis of Fractionally Integrated Processes," Econometrics 9405001, University Library of Munich, Germany.
  20. Mark J. Jensen, 1993. "The Tracking Ability of the Divisia Monetary Aggregate Under Risk," Macroeconomics 9309002, University Library of Munich, Germany.
    repec:fip:a00001:89429 is not listed on IDEAS
    repec:fip:a00001:88480 is not listed on IDEAS

Articles

  1. Fisher, Mark & Jensen, Mark J., 2022. "Bayesian nonparametric learning of how skill is distributed across the mutual fund industry," Journal of Econometrics, Elsevier, vol. 230(1), pages 131-153.
  2. Fisher, Mark & Jensen, Mark J., 2019. "Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors," Journal of Econometrics, Elsevier, vol. 210(1), pages 187-202.
  3. Mark J. Jensen & John M. Maheu, 2018. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," JRFM, MDPI, vol. 11(3), pages 1-29, September.
  4. Jensen Mark J., 2016. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 455-475, September.
  5. Jensen, Mark J., 2016. "A comment on De Grauwe's, “The legacy of the Eurozone crisis and how to overcome it”," Journal of Empirical Finance, Elsevier, vol. 39(PB), pages 166-168.
  6. Jensen, Mark J. & Maheu, John M., 2014. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," Journal of Econometrics, Elsevier, vol. 178(P3), pages 523-538.
  7. Jensen, Mark J. & Maheu, John M., 2013. "Bayesian semiparametric multivariate GARCH modeling," Journal of Econometrics, Elsevier, vol. 176(1), pages 3-17.
  8. Jensen, Mark J. & Maheu, John M., 2010. "Bayesian semiparametric stochastic volatility modeling," Journal of Econometrics, Elsevier, vol. 157(2), pages 306-316, August.
  9. Mark J. Jensen, 2009. "The Long-Run Fisher Effect: Can It Be Tested?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 221-231, February.
  10. Jensen, Mark J. & Liu, Ming, 2006. "Do long swings in the business cycle lead to strong persistence in output?," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 597-611, April.
  11. Bae, Sang-Kun & Jensen, Mark J. & Murdock, Scott G., 2005. "Long-run neutrality in a fractionally integrated model," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 257-274, June.
  12. Mark J. Jensen, 2004. "Semiparametric Bayesian Inference of Long‐Memory Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 895-922, November.
  13. Reisen Valderio A & Cribari-Neto Francisco & Jensen Mark J, 2003. "Long Memory Inflationary Dynamics: The Case of Brazil," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-18, October.
  14. Jensen, Mark J., 2000. "An alternative maximum likelihood estimator of long-memory processes using compactly supported wavelets," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 361-387, March.
  15. Jensen Mark J., 1999. "An Approximate Wavelet MLE of Short- and Long-Memory Parameters," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-17, January.
  16. Cribari-Neto, Francisco & Jensen, Mark J. & Novo, Álvaro A., 1999. "Research In Econometric Theory: Quantitative And Qualitative Productivity Rankings," Econometric Theory, Cambridge University Press, vol. 15(5), pages 719-752, October.
  17. Mark Jensen, 1997. "Revisiting the flexibility and regularity properties of the asymptotically ideal production model," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 179-203.
  18. Mark J. Jensen & Charles L. Leven, 1997. "Quality of life in central cities and suburbs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(4), pages 431-449.
  19. Barnett, William A. & Gallant, A. Ronald & Hinich, Melvin J. & Jungeilges, Jochen A. & Kaplan, Daniel T. & Jensen, Mark J., 1997. "A single-blind controlled competition among tests for nonlinearity and chaos," Journal of Econometrics, Elsevier, vol. 82(1), pages 157-192.
  20. Cribari-Neto, Francisco & Jensen, Mark J, 1997. "MATLAB as an Econometric Programming Environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 735-744, Nov.-Dec..
  21. Barnett, William A. & Liu, Yi & Jensen, Mark, 1997. "Capm Risk Adjustment For Exact Aggregation Over Financial Assets," Macroeconomic Dynamics, Cambridge University Press, vol. 1(2), pages 485-512, June.
  22. Jensen, Mark J, 1997. "A Homotopy Approach to Solving Nonlinear Rational Expectation Problems," Computational Economics, Springer;Society for Computational Economics, vol. 10(1), pages 47-65, February.
  23. Barnett, William A. & Ronald Gallant, A. & Hinich, Melvin J. & Jungeilges, Jochen A. & Kaplan, Daniel T. & Jensen, Mark J., 1995. "Robustness of nonlinearity and chaos tests to measurement error, inference method, and sample size," Journal of Economic Behavior & Organization, Elsevier, vol. 27(2), pages 301-320, July.

Chapters

  1. Mark J. Jensen & Brandon Whitcher, 2014. "Measuring the Impact Intradaily Events Have on the Persistent Nature of Volatility," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 103-129, Springer.
  2. William A. Barnett & Yi Liu & Mark Jensen, 2000. "CAPM Risk Adjustment," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 245-273, Emerald Group Publishing Limited.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 19 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ETS: Econometric Time Series (14) 1998-10-02 1998-12-09 1999-07-12 2008-05-05 2008-06-27 2012-05-02 2012-05-15 2012-07-08 2012-07-08 2012-07-14 2012-08-23 2015-12-01 2018-03-05 2018-03-12. Author is listed
  2. NEP-ECM: Econometrics (8) 1998-10-02 2008-05-05 2012-05-02 2012-07-08 2013-12-15 2015-12-01 2018-03-05 2019-03-25. Author is listed
  3. NEP-FOR: Forecasting (6) 2012-05-02 2012-05-15 2012-07-08 2012-07-08 2012-07-14 2012-08-23. Author is listed
  4. NEP-ORE: Operations Research (5) 2008-05-05 2012-05-02 2012-07-08 2015-12-01 2018-03-12. Author is listed
  5. NEP-RMG: Risk Management (2) 2012-09-09 2014-12-24
  6. NEP-CBA: Central Banking (1) 2006-09-16
  7. NEP-IFN: International Finance (1) 2006-09-16
  8. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2006-09-16
  9. NEP-MAC: Macroeconomics (1) 2006-09-16
  10. NEP-MON: Monetary Economics (1) 2006-09-16

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Mark J. Jensen should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.