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Jon R. Vilasuso

Personal Details

This person is deceased (Date: 27 Apr 2002)
First Name:Jon
Middle Name:R.
Last Name:Vilasuso
Suffix:
RePEc Short-ID:pvi205
http://articles.courant.com/2002-04-28/news/0204271794_1_scholarship-fund-memorial-service
Terminal Degree: Department of Economics; University of Connecticut (from RePEc Genealogy)

Research output

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Jump to: Articles

Articles

  1. McPherson, Matthew Q. & Palardy, Joseph & Vilasuso, Jon, 2005. "Are international stock returns predictable?: An application of spectral shape tests corrected for heteroskedasticity," Journal of Economics and Business, Elsevier, vol. 57(2), pages 103-118.
  2. Vilasuso, Jon, 2002. "Forecasting exchange rate volatility," Economics Letters, Elsevier, vol. 76(1), pages 59-64, June.
  3. Vilasuso, Jon, 2001. "Causality tests and conditional heteroskedasticity: : Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 101(1), pages 25-35, March.
  4. Vilasuso, Jon & Minkler, Alanson, 2001. "Agency costs, asset specificity, and the capital structure of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 55-69, January.
  5. Jon Vilasuso & David Katz, 2000. "Estimates of the likelihood of extreme returns in international stock markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(1), pages 119-130.
  6. Vilasuso, Jon, 2000. " Trend Breaks in Money Growth and the Money-Output Relation in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 53-60, February.
  7. Jon Vilasuso & Mark R. Frascatore, 2000. "Public policy and R&D when research joint ventures are costly," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 818-839, August.
  8. Atesoglu, H Sonmez & Vilasuso, Jon, 1999. "A Band Spectral Analysis of Exports and Economic Growth in the United States," Review of International Economics, Wiley Blackwell, vol. 7(1), pages 140-152, February.
  9. Vilasuso, Jon, 1999. "The Liquidity Effect and the Operating Procedure of the Federal Reserve," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 443-461, July.
  10. Stephen Cunningham & Jon Vilasuso, 1999. "The Problem With Interim Employment," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 155(2), pages 321-321, June.
  11. Jon Vilasuso, 1997. "The relationship between cash flow and investment in the United States at business cycle frequencies," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1283-1293.
  12. Cunningham, Steven R. & Tang, Hong & Vilasuso, Jon R., 1997. "A Time Series Analysis of the Relationship between Inflation Uncertainty and Unemployment," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 731-751, October.
  13. Cunningham, Steven R. & Vilasuso, Jon R., 1997. "Time Aggregation and the Money-Real GDP Relationship," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 675-695, October.
  14. Jon Vilasuso, 1996. "Changes in the duration of economic expansions and contractions in the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 3(12), pages 803-806.
  15. Vilasuso Jon & Cunningham Steve, 1996. "Tests for Nonlinearity in EMS Exchange Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-16, October.
  16. S. Cunningham & J. Vilasuso, 1995. "Time aggregation and causality tests: results from a monte carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 403-405.
  17. Cunningham, Steven R. & Vilasuso, Jon, 1994. "Comparing U.S. GNP volatility across exchange rate regimes: An application of spahe cracking," Journal of Macroeconomics, Elsevier, vol. 16(3), pages 445-459.
    RePEc:mes:postke:v:17:y:1995:i:2:p:187-210 is not listed on IDEAS

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.

Articles

  1. McPherson, Matthew Q. & Palardy, Joseph & Vilasuso, Jon, 2005. "Are international stock returns predictable?: An application of spectral shape tests corrected for heteroskedasticity," Journal of Economics and Business, Elsevier, vol. 57(2), pages 103-118.

    Cited by:

    1. Kim, Sei-Wan & Mollick, André V. & Nam, Kiseok, 2008. "Common nonlinearities in long-horizon stock returns: Evidence from the G-7 stock markets," Global Finance Journal, Elsevier, vol. 19(1), pages 19-31.

  2. Vilasuso, Jon, 2002. "Forecasting exchange rate volatility," Economics Letters, Elsevier, vol. 76(1), pages 59-64, June.

    Cited by:

    1. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    2. N. Antonakakis & J. Darby, 2013. "Forecasting volatility in developing countries' nominal exchange returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1675-1691, November.
    3. Degiannakis, Stavros, 2004. "Forecasting Realized Intra-day Volatility and Value at Risk: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model," MPRA Paper 80488, University Library of Munich, Germany.
    4. Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating volatility forecasts in option pricing in the context of a simulated options market," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
    5. Chortareas, Georgios & Jiang, Ying & Nankervis, John. C., 2011. "Forecasting exchange rate volatility using high-frequency data: Is the euro different?," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1089-1107, October.
    6. Thomas Lux & Taisei Kaizoji, 2006. "Forecasting Volatility and Volume in the Tokyo Stock Market: Long Memory, Fractality and Regime Switching," Working Papers wpn06-04, Warwick Business School, Finance Group.
    7. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Relative forecasting performance of volatility models: Monte Carlo evidence," Kiel Working Papers 1582, Kiel Institute for the World Economy (IfW).
    8. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value-at-Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long-Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1-2), pages 1-19.
    9. Thomas Lux, 2006. "The Markov-Switching Multi-Fractal Model of Asset Returns: Estimation via GMM and Linear Forecasting of Volatility," Working Papers wpn06-09, Warwick Business School, Finance Group.
    10. Lux, Thomas, 2008. "The Markov-Switching Multifractal Model of Asset Returns: GMM Estimation and Linear Forecasting of Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 194-210, April.
    11. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    12. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    13. Matei, Marius, 2010. "Risk analysis in the evaluation of the international investment opportunities. Advances in modelling and forecasting volatility for risk assessment purposes," Working Papers of Institute for Economic Forecasting 100201, Institute for Economic Forecasting.
    14. Bucevska Vesna, 2013. "An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange," Business Systems Research, De Gruyter Open, vol. 4(1), pages 49-64, March.
    15. Bentes, Sonia R., 2015. "Forecasting volatility in gold returns under the GARCH, IGARCH and FIGARCH frameworks: New evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 355-364.
    16. Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    18. Trino-Manuel Ñíguez, 2008. "Volatility and VaR forecasting in the Madrid Stock Exchange," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 169-196, September.
    19. Balaban, Ercan, 2004. "Comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate," Economics Letters, Elsevier, vol. 83(1), pages 99-105, April.
    20. Bentes, Sonia R., 2016. "Long memory volatility of gold price returns: How strong is the evidence from distinct economic cycles?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 149-160.
    21. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    22. Luis Alberiko & OlaOluwa S. Yaya & Olarenwaju I. Shittu, 2015. "Fractional integration and asymmetric volatility in european, asian and american bull and bear markets. Applications to high frequency stock data," NCID Working Papers 07/2015, Navarra Center for International Development, University of Navarra.
    23. So, Mike K.P. & Yu, Philip L.H., 2006. "Empirical analysis of GARCH models in value at risk estimation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 180-197, April.
    24. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    25. Georgios Chortareas & John Nankervis & Ying Jiang, 2007. "Forecasting Exchange Rate Volatility with High Frequency Data: Is the Euro Different?," Money Macro and Finance (MMF) Research Group Conference 2006 79, Money Macro and Finance Research Group.
    26. Bentes, Sónia R., 2014. "Measuring persistence in stock market volatility using the FIGARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 190-197.
    27. Trino-Manuel Ñíguez, 2003. "Volatility And Var Forecasting For The Ibex-35 Stock-Return Index Using Figarch-Type Processes And Different Evaluation Criteria," Working Papers. Serie AD 2003-33, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    28. Stavros Degiannakis & Evdokia Xekalaki, 2007. "Assessing the performance of a prediction error criterion model selection algorithm in the context of ARCH models," Applied Financial Economics, Taylor & Francis Journals, vol. 17(2), pages 149-171.
    29. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
    30. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    31. Alan E. H. Speight & David G. McMillan, 2004. "Daily volatility forecasts: reassessing the performance of GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 449-460.

  3. Vilasuso, Jon, 2001. "Causality tests and conditional heteroskedasticity: : Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 101(1), pages 25-35, March.

    Cited by:

    1. Pavlidis, Efthymios G. & Paya, Ivan & Peel, David A., 2015. "Testing for linear and nonlinear Granger causality in the real exchange rate–consumption relation," Economics Letters, Elsevier, vol. 132(C), pages 13-17.
    2. S. Bhaumik & M. Karanasos & A. Kartsaklas, 2008. "Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market," William Davidson Institute Working Papers Series wp935, William Davidson Institute at the University of Michigan.
    3. Jorge Hermann & Rómulo Chumacero, 2005. "No Estaba Muerta, ...: La Teoría Cuantitativa y la Relación entre Dinero e Inflación," Working Papers Central Bank of Chile 324, Central Bank of Chile.
    4. Karanasos, M. & Kartsaklas, A., 2009. "Dual long-memory, structural breaks and the link between turnover and the range-based volatility," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 838-851, December.
    5. Gurgul, Henryk & Lach, Łukasz, 2011. "The Nexus between Improvements in Economic Freedom and Growth: Evidence from CEE Countries in Transition," MPRA Paper 52260, University Library of Munich, Germany.
    6. J. Kim & A. Kartsaklas & M. Karanasos, 2005. "The volume–volatility relationship and the opening of the Korean stock market to foreign investors after the financial turmoil in 1997," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 245-271, September.
    7. Stilianos Fountas & Menelaos Karanasos, 2002. "Inflation, Output Growth, and Nominal and Real Uncertainty: Empirical Evidence for the G7," Working Papers 0064, National University of Ireland Galway, Department of Economics, revised 2002.
    8. Ning Zeng, 2015. "Monetary Stability and Stock Returns: A Bivariate Generalized Autoregressive Conditional Heteroscedasticity Modelling Study," Business and Economic Research, Macrothink Institute, vol. 5(2), pages 1-22, December.
    9. Eirini Syngelaki, 2010. "Linkages between Excess Currency and Stock Market Returns:Granger Causality in Mean and Variance," Economics, Finance and Accounting Department Working Paper Series n209-10.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    10. Pavlidis Efthymios G. & Paya Ivan & Peel David A., 2013. "Nonlinear causality tests and multivariate conditional heteroskedasticity: a simulation study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 297-312, May.
    11. Bhaumik, S. & Karanasos, M. & Kartsaklas, A., 2016. "The informative role of trading volume in an expanding spot and futures market," Journal of Multinational Financial Management, Elsevier, vol. 35(C), pages 24-40.

  4. Vilasuso, Jon & Minkler, Alanson, 2001. "Agency costs, asset specificity, and the capital structure of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 55-69, January.

    Cited by:

    1. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2001. "Company Financing, Capital Structure, and Ownership: A Survey, and Implications for Developing Economies," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
    2. Manos, Ronny & Murinde, Victor & Green, Christopher J., 2007. "Leverage and business groups: Evidence from Indian firms," Journal of Economics and Business, Elsevier, vol. 59(5), pages 443-465.
    3. Kim, Hyesung & Heshmati, Almas & Aoun, Dany, 2006. "Dynamics of Capital Structure: The Case of Korean Listed Manufacturing Companies," Ratio Working Papers 93, The Ratio Institute.
    4. Giorgio Canarella & Mahmoud Nourayi & Michael J. Sullivan, 2014. "An alternative test of the trade-off theory of capital structure," Contemporary Economics, University of Finance and Management in Warsaw, vol. 8(4), December.
    5. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2001. "Company Financing, Captial Structure, and Ownership: A Survey, and Implications for Developing Economies," SUERF Studies, SUERF - The European Money and Finance Forum, number 12 edited by Morten Balling.
    6. Muhammad Azeem Qureshi, 2009. "Does pecking order theory explain leverage behaviour in Pakistan?," Applied Financial Economics, Taylor & Francis Journals, vol. 19(17), pages 1365-1370.
    7. Tribo Gine, José Antonio & Martínez Ros, Ester, 2002. "R&D investment and financial contracting in spanish manufacturig firms," DEE - Working Papers. Business Economics. WB wb020904, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    8. Attaullah Shah & Jasir Ilyas, 2014. "Is Negative Profitability-Leverage Relation the only Support for the Pecking Order Theory in Case of Pakistani Firms?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(1), pages 33-55.
    9. Rashid Ameer, 2013. "Financial liberalization and firms’ capital structure adjustments evidence from Southeast Asia and South America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 1-32, January.

  5. Jon Vilasuso & David Katz, 2000. "Estimates of the likelihood of extreme returns in international stock markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(1), pages 119-130.

    Cited by:

    1. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.

  6. Vilasuso, Jon, 2000. " Trend Breaks in Money Growth and the Money-Output Relation in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 53-60, February.

    Cited by:

    1. Maral Kichian, 2012. "Financial Conditions and the Money-Output Relationship in Canada," Staff Working Papers 12-33, Bank of Canada.
    2. Gillman, Max & Nakov, Anton, 2005. "Granger Causality of the Inflation-Growth Mirror in Accession Countries," CEPR Discussion Papers 4845, C.E.P.R. Discussion Papers.
    3. Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
    4. Albuquerque, Bruno & Baumann, Ursel & Seitz, Franz, 2016. "What does money and credit tell us about real activity in the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 328-347.
    5. Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.
    6. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    7. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.

  7. Jon Vilasuso & Mark R. Frascatore, 2000. "Public policy and R&D when research joint ventures are costly," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 818-839, August.

    Cited by:

    1. Poyago-Theotoky, J.A., 2007. "The organization of R&D and environmental policy," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 63-75, January.
    2. Neil Buckley & Stuart Mestelman & Mohamed Shehata, 1999. "Subsidizing Public Inputs," Department of Economics Working Papers 1999-11, McMaster University.
    3. Busom, Isabel & Fernández-Ribas, Andrea, 2008. "The impact of firm participation in R&D programmes on R&D partnerships," Research Policy, Elsevier, vol. 37(2), pages 240-257, March.
    4. Bourreau, Marc & Dogan, PInar, 2010. "Cooperation in product development and process R&D between competitors," International Journal of Industrial Organization, Elsevier, vol. 28(2), pages 176-190, March.
    5. M. Bourreau & P. Dogan & M. Manant, "undated". "Size of RJVs with partial cooperation in product development," Working Paper 33657, Harvard University OpenScholar.
    6. Ouchida, Yasunori & Goto, Daisaku, 2016. "Environmental research joint ventures and time-consistent emission tax: Endogenous choice of R&D formation," Economic Modelling, Elsevier, vol. 55(C), pages 179-188.
    7. Alberto Marzucchi & Davide Antonioli & Sandro Montresor, 2012. "Research cooperation within and across regional boundaries. Does innovation policy add anything?," JRC Working Papers on Corporate R&D and Innovation 2012-04, Joint Research Centre (Seville site).
    8. Kim, Jeong-Eon, 2003. "Three essays on welfare implications of R&D policies in the presence of spillovers," ISU General Staff Papers 200301010800001597, Iowa State University, Department of Economics.
    9. Yasunori Ouchida & Daisaku Goto, 2014. "Environmental Research Joint Ventures and Time-Consistent Emission Tax," Working Papers 2014.35, Fondazione Eni Enrico Mattei.
    10. Rod Falvey & Joanna Poyago-Theotoky & Khemarat Teerasuwannajak, 2006. "Coordination Costs: A Drawback for Research Joint Ventures?," Discussion Paper Series 2006_3, Department of Economics, Loughborough University, revised Feb 2006.
    11. Falvey, Rod & Poyago-Theotoky, Joanna & Teerasuwannajak, Khemarat Talerngsri, 2013. "Coordination costs and research joint ventures," Economic Modelling, Elsevier, vol. 33(C), pages 965-976.

  8. Atesoglu, H Sonmez & Vilasuso, Jon, 1999. "A Band Spectral Analysis of Exports and Economic Growth in the United States," Review of International Economics, Wiley Blackwell, vol. 7(1), pages 140-152, February.

    Cited by:

    1. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Post-Print hal-01701122, HAL.
    2. Joseph Francois & Kevin Grier & Douglas Nelson, 2004. "Globalization, Roundaboutness, and Relative Wages," Tinbergen Institute Discussion Papers 04-021/2, Tinbergen Institute.
    3. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
    4. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.

  9. Stephen Cunningham & Jon Vilasuso, 1999. "The Problem With Interim Employment," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 155(2), pages 321-321, June.

    Cited by:

    1. Mosthaf, Alexander, 2011. "Low-wage jobs - stepping stones or just bad signals?," IAB Discussion Paper 201111, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  10. Jon Vilasuso, 1997. "The relationship between cash flow and investment in the United States at business cycle frequencies," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1283-1293.

    Cited by:

    1. Deleersnyder, B. & Dekimpe, M.G. & Sarvary, M. & Parker, P.M., 2003. "Weathering Tight Economic Times: The Sales Evolution Of Consumer Durables Over The Business Cycle," ERIM Report Series Research in Management ERS-2003-046-MKT, 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.

  11. Cunningham, Steven R. & Tang, Hong & Vilasuso, Jon R., 1997. "A Time Series Analysis of the Relationship between Inflation Uncertainty and Unemployment," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 731-751, October.

    Cited by:

    1. Guglielmo Maria Caporale & Luca Onorante & Paolo Paesani, 2009. "Inflation and Inflation Uncertainty in the Euro Area," CESifo Working Paper Series 2720, CESifo Group Munich.
    2. Di Bartolomeo Giovanni & Giuli Francesco, 2009. "Fiscal and monetary interaction under monetary policy uncertainty," wp.comunite 0061, Department of Communication, University of Teramo.
    3. Christoph S. Weber, 2017. "The Unemployment Effect of Central Bank Transparency," Working Papers 172, Bavarian Graduate Program in Economics (BGPE).
    4. Kuang-Liang Chang & Chi-Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    5. Rehab OSMAN, "undated". "SADC EPAs with the EU: the Right or a Blight Way for Development," EcoMod2010 259600127, EcoMod.

  12. Cunningham, Steven R. & Vilasuso, Jon R., 1997. "Time Aggregation and the Money-Real GDP Relationship," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 675-695, October.

    Cited by:

    1. R Jea & C-T Su & J-L Lin, 2005. "Time aggregation effect on the correlation coefficient: added-systematically sampled framework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1303-1309, November.
    2. Gulasekaran Rajaguru & Michael O’Neill & Tilak Abeysinghe, 2018. "Does Systematic Sampling Preserve Granger Causality with an Application to High Frequency Financial Data?," Econometrics, MDPI, Open Access Journal, vol. 6(2), pages 1-24, June.

  13. Vilasuso Jon & Cunningham Steve, 1996. "Tests for Nonlinearity in EMS Exchange Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-16, October.

    Cited by:

    1. Bernd Brandl & Christian Keber & Matthias Schuster, 2006. "An automated econometric decision support system: forecasts for foreign exchange trades," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 401-415, December.
    2. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2007. "The Optimal Degree of Exchange Rate Flexibility: a Target Zone Approach," Review of International Economics, Wiley Blackwell, vol. 15(4), pages 803-822, September.
    3. Kian-Ping Lim & Venus Khim-Sen Liew, 2003. "Testing for Non-Linearity in ASEAN Financial Markets," Finance 0308002, University Library of Munich, Germany.
    4. Jelena Zubkova & Egils Kauzens & Ivars Tillers & Martins Prusis, 2002. "Financial Market in Latvia," Working Papers 2002/02, Latvijas Banka.

  14. S. Cunningham & J. Vilasuso, 1995. "Time aggregation and causality tests: results from a monte carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 403-405.

    Cited by:

    1. R Jea & C-T Su & J-L Lin, 2005. "Time aggregation effect on the correlation coefficient: added-systematically sampled framework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1303-1309, November.
    2. Bolkesjø, Torjus F. & Buongiorno, Joseph, 2006. "Short- and long-run exchange rate effects on forest product trade: Evidence from panel data," Journal of Forest Economics, Elsevier, vol. 11(4), pages 205-221, January.
    3. Rajaguru, Gulasekaran, 2004. "Impact of systematic sampling on causality in the presence of unit roots," Economics Letters, Elsevier, vol. 84(1), pages 127-132, July.

  15. Cunningham, Steven R. & Vilasuso, Jon, 1994. "Comparing U.S. GNP volatility across exchange rate regimes: An application of spahe cracking," Journal of Macroeconomics, Elsevier, vol. 16(3), pages 445-459.

    Cited by:

    1. Kim, Jongwoo, 2000. "The relationship between the monetary regime and output volatility: a multivariate GARCH-M model of the Japanese experience, 1919-1996," Japan and the World Economy, Elsevier, vol. 12(1), pages 49-69, January.

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IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.