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Christopher Jones

Personal Details

First Name:Christopher
Middle Name:
Last Name:Jones
Suffix:
RePEc Short-ID:pjo36
http://www-rcf.usc.edu/~christoj/
University of Southern California Marshall School of Business 701 Hoffman Hall Los Angeles, CA 90089
213-740-9485
Terminal Degree:1999 Department of Economics; University of Pennsylvania (from RePEc Genealogy)

Affiliation

Department of Finance and Business Economics
Marshall School of Business
University of Southern California

Los Angeles, California (United States)
http://www.marshall.usc.edu/FBE/
RePEc:edi:fbuscus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Pierre Collin-Dufresne & Christopher S. Jones & Robert S. Goldstein, 2004. "Can Interest Rate Volatility be Extracted from the Cross Section of Bond Yields? An Investigation of Unspanned Stochastic Volatility," NBER Working Papers 10756, National Bureau of Economic Research, Inc.
  2. Christopher S. Jones & Jay Shanken, 2002. "Mutual Fund Performance with Learning Across Funds," NBER Working Papers 9392, National Bureau of Economic Research, Inc.
  3. Gregory D. Hess & Christopher S. Jones & Richard D. Porter, 1994. "The predictive failure of the Baba, Hendry and Starr model of the demand for M1 in the United States," Finance and Economics Discussion Series 94-34, Board of Governors of the Federal Reserve System (U.S.).
  4. Eitan Goldman & Christopher S. Jones & Ron Kaniel, "undated". "Free Cash Flow, Optimal Contracting, and Takeovers," Rodney L. White Center for Financial Research Working Papers 03-97, Wharton School Rodney L. White Center for Financial Research.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Pierre Collin-Dufresne & Christopher S. Jones & Robert S. Goldstein, 2004. "Can Interest Rate Volatility be Extracted from the Cross Section of Bond Yields? An Investigation of Unspanned Stochastic Volatility," NBER Working Papers 10756, National Bureau of Economic Research, Inc.

    Cited by:

    1. Guimarães, Rodrigo, 2014. "Expectations, risk premia and information spanning in dynamic term structure model estimation," Bank of England working papers 489, Bank of England.
    2. Torben G. Andersen & Luca Benzoni, 2010. "Do Bonds Span Volatility Risk in the U.S. Treasury Market? A Specification Test for Affine Term Structure Models," Journal of Finance, American Finance Association, vol. 65(2), pages 603-653, April.
    3. Shu Wu, 2007. "Interest Rate Risk and the Forward Premium Anomaly in Foreign Exchange Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 423-442, March.
    4. Yoichi Ueno & Naohiko Baba, 2006. "Default Intensity and Expected Recovery of Japanese Banks and "Government": New Evidence from the CDS Market," Bank of Japan Working Paper Series 06-E-4, Bank of Japan.
    5. Peter Christoffersen & Christian Dorion & Kris Jacobs & Lotfi Karoui, 2014. "Nonlinear Kalman Filtering in Affine Term Structure Models," Management Science, INFORMS, vol. 60(9), pages 2248-2268, September.
    6. Ruslan Bikbov & Mikhail Chernov, 2009. "Unspanned Stochastic Volatility in Affine Models: Evidence from Eurodollar Futures and Options," Management Science, INFORMS, vol. 55(8), pages 1292-1305, August.
    7. Caio Almeida & Jeremy J. Graveline & Scott Joslin, 2005. "Do Options Contain Information About Excess Bond Returns?," IBMEC RJ Economics Discussion Papers 2005-04, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    8. Ahmet Can Ýnci, 2007. "Currency and yield Co-integration between a developed and an emerging Country: The Case of Turkey," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 21(1+2), pages 1-20.
    9. Don H Kim, 2007. "Spanned stochastic volatility in bond markets: a reexamination of the relative pricing between bonds and bond options," BIS Working Papers 239, Bank for International Settlements.
    10. Balázs Romhányi, 2005. "A learning hypothesis of the term structure of interest rates," Macroeconomics 0503001, University Library of Munich, Germany.

  2. Christopher S. Jones & Jay Shanken, 2002. "Mutual Fund Performance with Learning Across Funds," NBER Working Papers 9392, National Bureau of Economic Research, Inc.

    Cited by:

    1. Keith Cuthbertson & Dirk Nitzsche & Niall O’Sullivan, 2023. "UK mutual funds: performance persistence and portfolio size," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 284-298, July.
    2. David Hunter & Zhen Sun & Karen Benson, 2020. "The Exclusive Role of Centralized Fund Family Management," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(2), pages 199-236, December.
    3. Chang Liu & Bowen Deng, 2023. "Is it really paid for sustainable development? The economic significance of firms' green practice," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 908-925, April.
    4. 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.
    5. 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.
    6. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    7. Erragragui, Elias & Revelli, Christophe, 2016. "Is it costly to be both shariah compliant and socially responsible?," Review of Financial Economics, Elsevier, vol. 31(C), pages 64-74.
    8. Petr Parshakov, 2014. "Russian Mutual Funds: Skill vs. Luck," HSE Working papers WP BRP 40/FE/2014, National Research University Higher School of Economics.
    9. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2022. "Mutual fund performance persistence: Factor models and portfolio size," International Review of Financial Analysis, Elsevier, vol. 81(C).
    11. Amisano, Gianni & Savona, Roberto, 2008. "Imperfect predictability and mutual fund dynamics. How managers use predictors in changing systematic risk," Working Paper Series 881, European Central Bank.
    12. MacLean, Leonard C. & Foster, Michael E. & Ziemba, William T., 2007. "Covariance complexity and rates of return on assets," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3503-3523, November.
    13. Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023. "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, vol. 78(1), pages 487-557, February.
    14. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    15. Yee Loon, 2011. "Model uncertainty, performance persistence and flows," Review of Quantitative Finance and Accounting, Springer, vol. 36(2), pages 153-205, February.
    16. Huang, Haitao & Jiang, Lei & Leng, Xuan & Peng, Liang, 2023. "Bootstrap analysis of mutual fund performance," Journal of Econometrics, Elsevier, vol. 235(1), pages 239-255.
    17. Elias Erragragui & Christophe Revelli, 2016. "Is it costly to be both shariah compliant and socially responsible?," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 64-74, November.
    18. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    19. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    20. Jessica A. Wachter & Missaka Warusawitharana, 2006. "Predictable returns and asset allocation: Should a skeptical investor time the market?," 2006 Meeting Papers 22, Society for Economic Dynamics.
    21. Korteweg, Arthur & Sorensen, Morten, 2017. "Skill and luck in private equity performance," Journal of Financial Economics, Elsevier, vol. 124(3), pages 535-562.
    22. David Ardia & Laurent Barras & Patrick Gagliardini & Olivier Scaillet, 2020. "Is it Alpha or Beta? Decomposing Hedge Fund Returns When Models are Misspecified," Swiss Finance Institute Research Paper Series 20-82, Swiss Finance Institute, revised May 2023.
    23. Huij, Joop & Verbeek, Marno, 2007. "Cross-sectional learning and short-run persistence in mutual fund performance," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 973-997, March.
    24. Wermers, Russ & Yao, Tong & Zhao, Jane, 2010. "The Investment Value of Mutual Fund Portfolio Disclosure," Working Papers 11-15, University of Pennsylvania, Wharton School, Weiss Center.
    25. Elias, Erragragui, 2017. "Is it Costly to Introduce SRI into Islamic Portfolios?," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 25, pages 23-54.
    26. Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
    27. Avramov, Doron & Chordia, Tarun, 2006. "Predicting stock returns," Journal of Financial Economics, Elsevier, vol. 82(2), pages 387-415, November.
    28. Barras, Laurent & Gagliardini, Patrick & Scaillet, Olivier, 2018. "The Cross-Sectional Distribution of Fund Skill Measures," Working Papers unige:110006, University of Geneva, Geneva School of Economics and Management.
    29. Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2014. "Mutual fund performance evaluation with active peer benchmarks," Journal of Financial Economics, Elsevier, vol. 112(1), pages 1-29.
    30. F. Douglas Foster & Geoffrey J. Warren, 2015. "Why Might Investors Choose Active Management?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 20-39, January.
    31. Huij, Joop & Derwall, Jeroen, 2008. ""Hot Hands" in bond funds," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 559-572, April.
    32. Zhongzhi Lawrence He, 2018. "Generalized Information Ratio," Papers 1803.01381, arXiv.org, revised Apr 2018.
    33. Veronesi, Pietro & Pástor, Luboš, 2009. "Learning in Financial Markets," CEPR Discussion Papers 7127, C.E.P.R. Discussion Papers.
    34. Stambaugh, Robert F. & Pástor, Luboš, 2007. "Predictive Systems: Living with Imperfect Predictors," CEPR Discussion Papers 6076, C.E.P.R. Discussion Papers.
    35. DeMiguel, Victor & Gil-Bazo, Javier & Nogales, Francisco J. & Santos, André A.P., 2023. "Machine learning and fund characteristics help to select mutual funds with positive alpha," Journal of Financial Economics, Elsevier, vol. 150(3).
    36. Samuel L. Tibbs & Deborah L. Harrell & Ronald E. Shrieves, 2011. "Do Shareholders Benefit from Corporate Misconduct? A Long‐Run Analysis," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(3), pages 449-476, September.
    37. Laurent Barras & Patrick Gagliardini & Olivier Scaillet, 2022. "Skill, Scale, and Value Creation in the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 77(1), pages 601-638, February.
    38. Coval, Joshua & Pástor, Luboš & Cohen, Randolph, 2003. "Judging Fund Managers by the Company They Keep," CEPR Discussion Papers 3717, C.E.P.R. Discussion Papers.
    39. Cavagnaro, Daniel R. & Sensoy, Berk A. & Wang, Yingdi & Weisbach, Michael S., 2016. "Measuring Institutional Investors' Skill from Their Investments in Private Equity," Working Paper Series 2016-14, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    40. Derwall, J. & Günster, N.K. & Bauer, R. & Koedijk, C.G., 2004. "The Eco-Efficiency Premium Puzzle," ERIM Report Series Research in Management ERS-2004-043-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    41. Gillen, Benjamin J., 2014. "An empirical Bayesian approach to stein-optimal covariance matrix estimation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 402-420.
    42. Nik Tuzov & Frederi Viens, 2011. "Mutual fund performance: false discoveries, bias, and power," Annals of Finance, Springer, vol. 7(2), pages 137-169, May.
    43. Urbi Garay & Enrique Ter Horst & German Molina & Abel Rodriguez, 2016. "Bayesian Nonparametric Measurement of Factor Betas and Clustering with Application to Hedge Fund Returns," Econometrics, MDPI, vol. 4(1), pages 1-23, March.
    44. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Papers 2006.04269, arXiv.org.
    45. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.

  3. Gregory D. Hess & Christopher S. Jones & Richard D. Porter, 1994. "The predictive failure of the Baba, Hendry and Starr model of the demand for M1 in the United States," Finance and Economics Discussion Series 94-34, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Hoffman, Dennis L. & Rasche, Robert H. & Tieslau, Margie A., 1995. "The stability of long-run money demand in five industrial countries," Journal of Monetary Economics, Elsevier, vol. 35(2), pages 317-339, April.
    2. Kevin Hoover & Stephen J. Perez, 2003. "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Working Papers 200, University of California, Davis, Department of Economics.
    3. Scheiblecker, Marcus, 2013. "Between cointegration and multicointegration: Modelling time series dynamics by cumulative error correction models," Economic Modelling, Elsevier, vol. 31(C), pages 511-517.
    4. Scott Hendry, 1995. "Long-Run Demand for M1," Macroeconomics 9511001, University Library of Munich, Germany.
    5. Chris Stewart, 1998. "Reinterpreting the DHSY (1978) consumption function with hindsight," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 477-489.
    6. K. Cuthbertson & D. Nitzsche & S. Hyde, 2007. "Monetary Policy And Behavioural Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 935-969, December.
    7. Steven Cook, 2001. "Observations on the practice of data-mining: comments on the JEM symposium," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(3), pages 415-419.

More information

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Statistics

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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 2 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-CFN: Corporate Finance (1) 2002-12-17
  2. NEP-ETS: Econometric Time Series (1) 2004-09-30
  3. NEP-FIN: Finance (1) 2004-09-30

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