IDEAS home Printed from https://ideas.repec.org/e/pbi50.html
   My authors  Follow this author

Prasad V. Bidarkota

Personal Details

First Name:Prasad
Middle Name:V.
Last Name:Bidarkota
Suffix:
RePEc Short-ID:pbi50
http://www.fiu.edu/~bidarkot/
Department of Economics DM 320A, UP Florida International University Miami, FL 33199
(305) 348-6362

Affiliation

Department of Economics
Florida International University

Miami, Florida (United States)
http://economics.fiu.edu/
RePEc:edi:defiuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. J. Huston McCulloch & Prasad V. Bidarkota, 2003. "Signal Extraction can Generate Volatility Clusters," Computing in Economics and Finance 2003 59, Society for Computational Economics.
  2. J. Huston McCulloch & Prasad V. Bidarkota, 2002. "Signal Extraction Can Generate Volatility Clusters From IID Shocks," Working Papers 02-04, Ohio State University, Department of Economics.
  3. Prasad V. Bidarkota and J. Huston McCulloch, 2001. "Consumption Asset Pricing with Stable Shocks: Exploring a Solution and Its Implications for the Equity Premium Puzzle," Computing in Economics and Finance 2001 70, Society for Computational Economics.
  4. Mario Crucini & Prasad Bidarkota, 1997. "Commodity Prices and the Terms of Trade," Working Papers 98-01, Ohio State University, Department of Economics.
  5. Prasad V. Bidarkota & J. Huston McCulloch, "undated". "Optimal Univariate Inflation Forecasting with Symmetric Stable Shocks," Computing in Economics and Finance 1997 116, Society for Computational Economics.

Articles

  1. Zhiguang (Gerald) Wang & Prasad V. Bidarkota, 2010. "A Long-Run Risks Model of Asset Pricing with Fat Tails," Review of Finance, European Finance Association, vol. 14(3), pages 409-449.
  2. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
  3. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "Intrinsic Bubbles And Fat Tails In Stock Prices: A Note," Macroeconomic Dynamics, Cambridge University Press, vol. 11(3), pages 405-422, June.
  4. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "The impact of fat tails on equilibrium rates of return and term premia," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 887-905, March.
  5. Bidarkota, Prasad V., 2006. "On The Economic Impact Of Modeling Nonlinearities: The Asset Pricing Example," Macroeconomic Dynamics, Cambridge University Press, vol. 10(1), pages 56-76, February.
  6. Chen, Ming-Hsiang & Bidarkota, Prasad V., 2004. "Consumption equilibrium asset pricing in two Asian emerging markets," Journal of Asian Economics, Elsevier, vol. 15(2), pages 305-319, April.
  7. Khurshid M. Kiani & Prasad V. Bidarkota, 2004. "On Business Cycle Asymmetries in G7 Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 333-351, July.
  8. Prasad Bidarkota & J Huston Mcculloch, 2004. "Testing for persistence in stock returns with GARCH-stable shocks," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 256-265.
  9. Prasad V. Bidarkota, 2003. "Do Fluctuations in U.S. Inflation Rates Reflect Infrequent Large Shocks or Frequent Small Shocks?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 765-771, August.
  10. Bidarkota, Prasad V. & McCulloch, J. Huston, 2003. "Consumption asset pricing with stable shocks--exploring a solution and its implications for mean equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 399-421, January.
  11. Bidarkota, Prasad V, 2001. "Alternative Regime Switching Models for Forecasting Inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(1), pages 21-35, January.
  12. Bidarkota Prasad V., 1999. "Sectoral Investigation of Asymmetries in the Conditional Mean Dynamics of the Real U.S. GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-12, January.
  13. Bidarkota, Prasad V., 1998. "The comparative forecast performance of univariate and multivariate models: an application to real interest rate forecasting," International Journal of Forecasting, Elsevier, vol. 14(4), pages 457-468, December.
  14. Prasad V. Bidarkota & J. Huston McCulloch, 1998. "Optimal univariate inflation forecasting with symmetric stable shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(6), pages 659-670.

    RePEc:taf:apfelt:v:1:y:2005:i:4:p:205-210 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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Prasad V. Bidarkota & J. Huston McCulloch, 1998. "Optimal univariate inflation forecasting with symmetric stable shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(6), pages 659-670.

    Mentioned in:

    1. Optimal univariate inflation forecasting with symmetric stable shocks (Journal of Applied Econometrics 1998) in ReplicationWiki ()

Working papers

  1. Mario Crucini & Prasad Bidarkota, 1997. "Commodity Prices and the Terms of Trade," Working Papers 98-01, Ohio State University, Department of Economics.

    Cited by:

    1. Cashin, Paul & Cespedes, Luis F. & Sahay, Ratna, 2004. "Commodity currencies and the real exchange rate," Journal of Development Economics, Elsevier, vol. 75(1), pages 239-268, October.
    2. Marianne Baxter & Michael A. Kouparitsas, 2000. "What Can Account for Fluctuations in the Terms of Trade?," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-112, Boston University - Department of Economics.
    3. Martin Berka & Mario J Crucini & Chih-Wei Wang, 2011. "International risk sharing and commodity prices," CAMA Working Papers 2011-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Paul Cashin & Catherine Pattillo, 2006. "African terms of trade and the commodity terms of trade: close cousins or distant relatives?," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 845-859.
    5. Sarris, Alexander, 2013. "Food commodity price volatility and food insecurity," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(3), pages 1-24, December.
    6. Thomas H.W. Ziesemer, 2014. "Country terms of trade: trends, unit roots, over-differencing, endogeneity, time dummies, and heterogeneity," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(6), pages 767-796, September.
    7. Sodhi, ManMohan S. & Tang, Christopher S., 2014. "Guiding the next generation of doctoral students in operations management," International Journal of Production Economics, Elsevier, vol. 150(C), pages 28-36.
    8. Mirko Draca & Theodore Koutmeridis & Stephen Machin, 2015. "The Changing Returns to Crime: Do Criminals Respond to Prices?," CEP Discussion Papers dp1355, Centre for Economic Performance, LSE.
    9. Mr. Paul Cashin & Ms. Catherine A Pattillo, 2000. "Terms of Trade Shocks in Africa: Are they Short-Lived or Long-Lived?," IMF Working Papers 2000/072, International Monetary Fund.
    10. Hélène Ehrhart & Samuel Guérineau, 2012. "Commodity price volatility and Tax revenues: Evidence from developing countries," Working Papers halshs-00658210, HAL.
    11. Di Pace, Federico & Juvenal, Luciana & Petrella, Ivan, 2021. "Terms-of-trade shocks are not all alike," Bank of England working papers 901, Bank of England.
    12. Dennis, Benjamin N. & Iscan, Talan B., 2006. "Terms of trade risk with partial labor mobility," Journal of International Economics, Elsevier, vol. 68(1), pages 92-114, January.
    13. Backus, David K. & Crucini, Mario J., 2000. "Oil prices and the terms of trade," Journal of International Economics, Elsevier, vol. 50(1), pages 185-213, February.
    14. Bent, Peter H., 2020. "Recovery from financial crises in peripheral economies, 1870–1913," Explorations in Economic History, Elsevier, vol. 78(C).
    15. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    16. M. Ayhan Kose & Raymond Riezman, 1999. "Trade Shocks and Macroeconomic Fluctuations in Africa," CESifo Working Paper Series 203, CESifo.
    17. Williamson, Jeffrey G. & Blattman, Christopher & ,, 2005. "The Impact of the Terms of Trade on Economic Development in the Periphery, 1870-1939: Volatility and Secular Change," CEPR Discussion Papers 5073, C.E.P.R. Discussion Papers.
    18. Kose, M. Ayhan, 2002. "Explaining business cycles in small open economies: 'How much do world prices matter?'," Journal of International Economics, Elsevier, vol. 56(2), pages 299-327, March.
    19. Giovanni Federico & Michelangelo Vasta, 2009. "Was industrialization an escape from the commodity lottery? Evidence from Italy, 1861-1940," Department of Economics University of Siena 573, Department of Economics, University of Siena.
    20. Alexandros Sarris, 2014. "Trade, food and welfare," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 13, pages 325-352, Edward Elgar Publishing.
    21. Mei-Hsiu Chen & Ken W. Clements & Grace Gao, 2017. "Three Facts About World Metal Prices," Economics Discussion / Working Papers 17-05, The University of Western Australia, Department of Economics.
    22. Lee, Yi-Lung & Ranjbar, Omid & Jahangard, Fateme & Chang, Tsangyao, 2020. "Analyzing slowdown and meltdowns in the African countries: New evidence using Fourier quantile unit root test," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 187-198.
    23. Michael Webb, 2005. "The conflicting impacts of export fluctuations and diversification programmes," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 14(3), pages 271-280.
    24. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    25. Mei-Hsiu Chen, 2009. "UNDERSTANDING WORLD COMMODITY PRICES Returns, Volatility and Diversification," Economics Discussion / Working Papers 09-03, The University of Western Australia, Department of Economics.
    26. Mei-Hsiu Chen & Kenneth W Clements & Grace Gao, 2013. "Three Facts About World Metal Prices," Economics Discussion / Working Papers 13-01, The University of Western Australia, Department of Economics.
    27. Kulish, Mariano & Rees, Daniel M., 2017. "Unprecedented changes in the terms of trade," Journal of International Economics, Elsevier, vol. 108(C), pages 351-367.
    28. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
    29. Talan İşcan, 2012. "Changes in the Terms of Trade and Sectoral Reallocation of Labor: The Case of Guyana, Jamaica, and Trinidad and Tobago," Open Economies Review, Springer, vol. 23(3), pages 473-500, July.
    30. Romero-Ávila, Diego, 2009. "Multiple Breaks, Terms of Trade Shocks and the Unit-Root Hypothesis for African Per Capita Real GDP," World Development, Elsevier, vol. 37(6), pages 1051-1068, June.

  2. Prasad V. Bidarkota & J. Huston McCulloch, "undated". "Optimal Univariate Inflation Forecasting with Symmetric Stable Shocks," Computing in Economics and Finance 1997 116, Society for Computational Economics.

    Cited by:

    1. Fatma Ozgu Serttas, 2018. "Infinite-Variance Error Structure in Finance and Economics," International Econometric Review (IER), Econometric Research Association, vol. 10(1), pages 14-23, April.
    2. Prasad Bidarkota & J Huston Mcculloch, 2004. "Testing for persistence in stock returns with GARCH-stable shocks," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 256-265.
    3. Thiago Carlomagno Carlo & Emerson Fernandes Marçal, 2016. "Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon," Applied Economics, Taylor & Francis Journals, vol. 48(50), pages 4846-4860, October.
    4. J Huston McCulloch, 2000. "State-Space Times Series Modeling of Structural Breaks," Working Papers 00-11, Ohio State University, Department of Economics.
    5. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.
    6. Khurshid M. Kiani, 2016. "On Modelling and Forecasting Predictable Components in European Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 487-502, October.
    7. Khurshid Kiani, 2009. "Inflation in Transition Economies: An Empirical Analysis," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(1), pages 34-46, May.
    8. KIANI, Khurshid M., 2007. "Determination Of Volatility And Mean Returns: An Evidence From An Emerging Stock Market," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(1), pages 103-118.
    9. J. Huston McCulloch & Prasad V. Bidarkota, 2003. "Signal Extraction can Generate Volatility Clusters," Computing in Economics and Finance 2003 59, Society for Computational Economics.
    10. J. Huston McCulloch & Prasad V. Bidarkota, 2002. "Signal Extraction Can Generate Volatility Clusters From IID Shocks," Working Papers 02-04, Ohio State University, Department of Economics.
    11. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    12. Fu, Qi & So, Jacky Yuk-Chow & Li, Xiaotong, 2024. "Stable paretian distribution, return generating processes and habit formation—The implication for equity premium puzzle," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    13. J. Huston McCulloch & Levin A. Kochen, 1998. "The Inflation Premium Implicit in the US Real and Nominal Term Structures of Interest Rates," Working Papers 98-12, Ohio State University, Department of Economics.
    14. Serttas, Fatma Ozgu, 2010. "Essays on infinite-variance stable errors and robust estimation procedures," ISU General Staff Papers 201001010800002742, Iowa State University, Department of Economics.
    15. J. Huston McCulloch, 2001. "The Inflation Premium implicit in the US Real and Nominal," Computing in Economics and Finance 2001 210, Society for Computational Economics.
    16. J. Huston McCulloch, 2005. "The Kalman Foundations of Adaptive Least Squares: Applications to Unemployment and Inflation," Computing in Economics and Finance 2005 239, Society for Computational Economics.
    17. Jonathan B. Hill, 2005. "On Tail Index Estimation for Dependent, Heterogenous Data," Econometrics 0505005, University Library of Munich, Germany, revised 24 Mar 2006.
    18. Khurshid M. Kiani, 2006. "Predictability in Stock Returns in an Emerging Market: Evidence from KSE 100 Stock Price Index," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(3), pages 369-381.

Articles

  1. Zhiguang (Gerald) Wang & Prasad V. Bidarkota, 2010. "A Long-Run Risks Model of Asset Pricing with Fat Tails," Review of Finance, European Finance Association, vol. 14(3), pages 409-449.

    Cited by:

    1. Rand Kwong Yew Low, 2018. "Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 423-463, November.
    2. Kwon, Ji Ho, 2019. "Tail risk and the consumption CAPM," Finance Research Letters, Elsevier, vol. 30(C), pages 69-75.

  2. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.

    Cited by:

    1. Ivan Shaliastovich & George Tauchen, 2010. "Pricing of the Time-Change Risks," Working Papers 10-10, Duke University, Department of Economics.
    2. T M Niguez & I Paya & D Peel & J Perote, 2011. "On the stability of the CRRA utility under high degrees of uncertainty," Working Papers 615773, Lancaster University Management School, Economics Department.
    3. Zimper, Alexander, 2012. "Asset pricing in a Lucas fruit-tree economy with the best and worst in mind," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 610-628.
    4. Faisal M. Awwal & Prasad V. Bidarkota, 2021. "A state space framework for the residual income valuation model of stock prices," SN Business & Economics, Springer, vol. 1(4), pages 1-28, April.
    5. Garcia, René & Renault, Eric & Veredas, David, 2011. "Estimation of stable distributions by indirect inference," Journal of Econometrics, Elsevier, vol. 161(2), pages 325-337, April.
    6. Marcin Pitera & Aleksei Chechkin & Agnieszka Wyłomańska, 2022. "Goodness-of-fit test for $$\alpha$$ α -stable distribution based on the quantile conditional variance statistics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(2), pages 387-424, June.
    7. Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
    8. Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
    9. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David & Perote, Javier, 2012. "On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty," Economics Letters, Elsevier, vol. 115(2), pages 244-248.

  3. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "Intrinsic Bubbles And Fat Tails In Stock Prices: A Note," Macroeconomic Dynamics, Cambridge University Press, vol. 11(3), pages 405-422, June.

    Cited by:

    1. Nunes, Maurício Simiano & da Silva, Sérgio, 2009. "Bolhas Racionais no Índice Bovespa," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 63(2), June.

  4. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "The impact of fat tails on equilibrium rates of return and term premia," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 887-905, March.

    Cited by:

    1. Giovanni Paolinelli & Gianni Arioli, 2018. "A path integral based model for stocks and order dynamics," Papers 1803.07904, arXiv.org.
    2. Ivan Shaliastovich & George Tauchen, 2010. "Pricing of the Time-Change Risks," Working Papers 10-10, Duke University, Department of Economics.
    3. Paolinelli, Giovanni & Arioli, Gianni, 2018. "A path integral based model for stocks and order dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 387-399.
    4. Zimper, Alexander, 2012. "Asset pricing in a Lucas fruit-tree economy with the best and worst in mind," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 610-628.
    5. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    6. Fu, Qi & So, Jacky Yuk-Chow & Li, Xiaotong, 2024. "Stable paretian distribution, return generating processes and habit formation—The implication for equity premium puzzle," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    7. Paolinelli, Giovanni & Arioli, Gianni, 2019. "A model for stocks dynamics based on a non-Gaussian path integral," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 499-514.
    8. Dupoyet, B. & Fiebig, H.R. & Musgrove, D.P., 2010. "Gauge invariant lattice quantum field theory: Implications for statistical properties of high frequency financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 107-116.
    9. Giovanni Paolinelli & Gianni Arioli, 2018. "A model for stocks dynamics based on a non-Gaussian path integral," Papers 1809.01342, arXiv.org, revised Oct 2018.
    10. Kishor, N. Kundan, 2023. "Estimating Expected Asset Returns With the Present Value Model of Consumption and Fed Forecasts," MPRA Paper 119617, University Library of Munich, Germany.

  5. Khurshid M. Kiani & Prasad V. Bidarkota, 2004. "On Business Cycle Asymmetries in G7 Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 333-351, July.

    Cited by:

    1. Kiani, K.M., 2009. "Neural Networks to Detect Nonlinearities in Time Series: Analysis of Business Cycle in France and the United Kingdom," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    2. Bildirici, Melike & Alp, Aykaç, 2008. "The Relationship Between Wages and Productivity: TAR Unit Root and TAR Cointegration Approach," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 5(1), pages 93-110.
    3. Kiani, Khurshid M., 2016. "On business cycle fluctuations in USA macroeconomic time series," Economic Modelling, Elsevier, vol. 53(C), pages 179-186.
    4. Khurshid M. Kiani, 2007. "Asymmetric Business Cycle Fluctuations and Contagion Effects in G7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(3), pages 237-253, December.
    5. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.
    6. Christian Richter & Andrew Hughes Hallett, 2005. "A Time-Frequency Analysis of the Coherences of the US Business," Computing in Economics and Finance 2005 45, Society for Computational Economics.
    7. Khurshid M. KIANI & Terry L. KASTENS, 2006. "Using Macro-Financial Variables To Forecast Recessions. An Analysis Of Canada, 1957-2002," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    8. Paresh Kumar Narayan & Seema Narayan, 2008. "Examining The Asymmetric Behaviour Of Macroeconomic Aggregates In Asian Economies," Pacific Economic Review, Wiley Blackwell, vol. 13(5), pages 567-574, December.
    9. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Investigating business cycle asymmetry for the G7 countries: Evidence from over a century of data," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 583-591, October.
    10. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "The impact of fat tails on equilibrium rates of return and term premia," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 887-905, March.
    11. KIANI, Khurshid M., 2007. "Business Cycle Asymmetries In Stock Returns: Robust Evidence," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(2), pages 99-120.
    12. Xue, Wenjun & Zhang, Liwen, 2019. "Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    13. Jakob De Haan & Robert Inklaar & Richard Jong‐A‐Pin, 2008. "Will Business Cycles In The Euro Area Converge? A Critical Survey Of Empirical Research," Journal of Economic Surveys, Wiley Blackwell, vol. 22(2), pages 234-273, April.
    14. Khurshid M. Kiani, 2009. "Asymmetries in Macroeconomic Time Series in Eleven Asian Economies," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(1), pages 37-54, April.
    15. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Can the electricity market be characterised by asymmetric behaviour?," Energy Policy, Elsevier, vol. 37(11), pages 4364-4372, November.
    16. Andrew Hallett & Christian Richter, 2006. "Measuring the Degree of Convergence among European Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 229-259, May.
    17. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    18. Tadeusz Klecha & Daniel Kosiorowski & Dominik Mielczarek & Jerzy P. Rydlewski, 2018. "New Proposals of a Stress Measure in a Capital and its Robust Estimator," Papers 1802.03756, arXiv.org.
    19. Andrew Hughes Hallett & Christian R. Richter, 2007. "Time Varying Cyclical Analysis for Economies in Transition," CASE Network Studies and Analyses 0334, CASE-Center for Social and Economic Research.
    20. Yasuhiko Nakamura, 2008. "On Forecasting Recessions via Neural Nets," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-15.
    21. Khurshid Kiani, 2005. "Detecting Business Cycle Asymmetries Using Artificial Neural Networks and Time Series Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 65-89, August.
    22. Ghulame Rubbaniy & Ali Awais Khalid & Stathis Polyzos & Balqees Naser Almessabi, 2022. "Cyclicality of capital adequacy ratios in heterogeneous environment: A nonlinear panel smooth transition regression explanation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1960-1979, September.
    23. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2015. "Revisiting non-linearities in business cycles around the world," MPRA Paper 65668, University Library of Munich, Germany.

  6. Prasad Bidarkota & J Huston Mcculloch, 2004. "Testing for persistence in stock returns with GARCH-stable shocks," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 256-265.

    Cited by:

    1. José Curto & José Pinto & Gonçalo Tavares, 2009. "Modeling stock markets’ volatility using GARCH models with Normal, Student’s t and stable Paretian distributions," Statistical Papers, Springer, vol. 50(2), pages 311-321, March.
    2. Khurshid M. Kiani, 2016. "On Modelling and Forecasting Predictable Components in European Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 487-502, October.
    3. KIANI, Khurshid M., 2007. "Determination Of Volatility And Mean Returns: An Evidence From An Emerging Stock Market," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(1), pages 103-118.
    4. J. Huston McCulloch & Prasad V. Bidarkota, 2003. "Signal Extraction can Generate Volatility Clusters," Computing in Economics and Finance 2003 59, Society for Computational Economics.
    5. J. Huston McCulloch & Prasad V. Bidarkota, 2002. "Signal Extraction Can Generate Volatility Clusters From IID Shocks," Working Papers 02-04, Ohio State University, Department of Economics.
    6. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    7. Khurshid Kiani, 2010. "Predictable Signals in Excess Returns: Evidence from Non-Gaussian State Space Models," Economics Bulletin, AccessEcon, vol. 30(2), pages 1217-1232.
    8. Jonathan B. Hill, 2005. "On Tail Index Estimation for Dependent, Heterogenous Data," Econometrics 0505005, University Library of Munich, Germany, revised 24 Mar 2006.
    9. Khurshid M. Kiani, 2006. "Predictability in Stock Returns in an Emerging Market: Evidence from KSE 100 Stock Price Index," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(3), pages 369-381.

  7. Prasad V. Bidarkota, 2003. "Do Fluctuations in U.S. Inflation Rates Reflect Infrequent Large Shocks or Frequent Small Shocks?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 765-771, August.

    Cited by:

    1. J. Huston McCulloch & Prasad V. Bidarkota, 2003. "Signal Extraction can Generate Volatility Clusters," Computing in Economics and Finance 2003 59, Society for Computational Economics.
    2. J. Huston McCulloch & Prasad V. Bidarkota, 2002. "Signal Extraction Can Generate Volatility Clusters From IID Shocks," Working Papers 02-04, Ohio State University, Department of Economics.
    3. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    4. Perron, Pierre & Wada, Tatsuma, 2009. "Let's take a break: Trends and cycles in US real GDP," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 749-765, September.
    5. Rokon Bhuiyan, 2013. "Inflationary expectations and monetary policy: evidence from Bangladesh," Empirical Economics, Springer, vol. 44(3), pages 1155-1169, June.

  8. Bidarkota, Prasad V. & McCulloch, J. Huston, 2003. "Consumption asset pricing with stable shocks--exploring a solution and its implications for mean equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 399-421, January.

    Cited by:

    1. Prasad Bidarkota & J Huston Mcculloch, 2004. "Testing for persistence in stock returns with GARCH-stable shocks," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 256-265.
    2. Yoon, Gawon, 2004. "On the existence of expected utility with CRRA under STUR," Economics Letters, Elsevier, vol. 83(2), pages 219-224, May.
    3. Athanasoulis, Stefano G., 2005. "Asset pricing from primitives: closed form solutions to asset prices, consumption, and portfolio demands," Journal of Economic Dynamics and Control, Elsevier, vol. 29(3), pages 423-447, March.
    4. Ivan Shaliastovich & George Tauchen, 2010. "Pricing of the Time-Change Risks," Working Papers 10-10, Duke University, Department of Economics.
    5. Yu Chen & Thomas Cosimano & Alex Himonas, 2008. "Solving an asset pricing model with hybrid internal and external habits, and autocorrelated Gaussian shocks," Annals of Finance, Springer, vol. 4(3), pages 305-344, July.
    6. Solórzano Andrade, Gustavo & Parra-Alvarez, Juan Carlos, 2024. "Risk sensitive linear approximations," Economics Letters, Elsevier, vol. 238(C).
    7. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "The impact of fat tails on equilibrium rates of return and term premia," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 887-905, March.
    8. Zimper, Alexander, 2012. "Asset pricing in a Lucas fruit-tree economy with the best and worst in mind," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 610-628.
    9. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    10. Fu, Qi & So, Jacky Yuk-Chow & Li, Xiaotong, 2024. "Stable paretian distribution, return generating processes and habit formation—The implication for equity premium puzzle," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    11. Oliver de Groot, 2014. "Solving asset pricing models with stochastic volatility," Finance and Economics Discussion Series 2014-71, Board of Governors of the Federal Reserve System (U.S.).
    12. Walter Pohl & Karl Schmedders & Ole Wilms, 2018. "Higher Order Effects in Asset Pricing Models with Long‐Run Risks," Journal of Finance, American Finance Association, vol. 73(3), pages 1061-1111, June.
    13. Collard, Fabrice & Feve, Patrick & Ghattassi, Imen, 2006. "Predictability and habit persistence," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2217-2260, November.

  9. Bidarkota, Prasad V, 2001. "Alternative Regime Switching Models for Forecasting Inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(1), pages 21-35, January.

    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Thiago Carlomagno Carlo & Emerson Fernandes Marçal, 2016. "Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon," Applied Economics, Taylor & Francis Journals, vol. 48(50), pages 4846-4860, October.
    3. Bessec Marie & Bouabdallah Othman, 2005. "What Causes The Forecasting Failure of Markov-Switching Models? A Monte Carlo Study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-24, June.
    4. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    5. Poncela, Pilar & Senra, Eva, 2002. "Forecasting monthly us consumer price indexes through a disaggregated I(2) analysis," DES - Working Papers. Statistics and Econometrics. WS ws020301, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    7. David Bock & Eva Andersson & Marianne Frisén, 2005. "Statistical surveillance of cyclical processes with application to turns in business cycles," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 465-490.
    8. Zhang, Lingxiang, 2013. "Modeling China's inflation dynamics: An MRSTAR approach," Economic Modelling, Elsevier, vol. 31(C), pages 440-446.
    9. Antonio N. Bojanic, 2021. "A Markov-Switching Model of Inflation in Bolivia," Economies, MDPI, vol. 9(1), pages 1-18, March.
    10. Juan Ayuso & Graciela L. Kaminsky & David López-Salido, 2003. "Inflation regimes and stabilisation policies: Spain 1962-2001," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 615-631, September.

  10. Bidarkota Prasad V., 1999. "Sectoral Investigation of Asymmetries in the Conditional Mean Dynamics of the Real U.S. GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-12, January.

    Cited by:

    1. Khurshid M. Kiani, 2007. "Asymmetric Business Cycle Fluctuations and Contagion Effects in G7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(3), pages 237-253, December.
    2. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    3. Khurshid M. KIANI & Terry L. KASTENS, 2006. "Using Macro-Financial Variables To Forecast Recessions. An Analysis Of Canada, 1957-2002," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    4. Khurshid M. Kiani & Prasad V. Bidarkota, 2004. "On Business Cycle Asymmetries in G7 Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 333-351, July.
    5. KIANI, Khurshid M., 2007. "Business Cycle Asymmetries In Stock Returns: Robust Evidence," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(2), pages 99-120.
    6. P.H. Franses & D. Fok & D. van Dijk, 2004. "A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production," Econometric Society 2004 Australasian Meetings 267, Econometric Society.
    7. Khurshid M. Kiani, 2009. "Asymmetries in Macroeconomic Time Series in Eleven Asian Economies," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(1), pages 37-54, April.
    8. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    9. Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
    10. Khurshid Kiani, 2005. "Detecting Business Cycle Asymmetries Using Artificial Neural Networks and Time Series Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 65-89, August.
    11. Oleg Korenok & Bruce Mizrach, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Computing in Economics and Finance 2004 266, Society for Computational Economics.

  11. Bidarkota, Prasad V., 1998. "The comparative forecast performance of univariate and multivariate models: an application to real interest rate forecasting," International Journal of Forecasting, Elsevier, vol. 14(4), pages 457-468, December.

    Cited by:

    1. Jose Vicente & Benjamin M. Tabak, 2007. "Forecasting Bonds Yields in the Brazilian Fixed Income Market," Working Papers Series 141, Central Bank of Brazil, Research Department.
    2. du Preez, Johann & Witt, Stephen F., 2003. "Univariate versus multivariate time series forecasting: an application to international tourism demand," International Journal of Forecasting, Elsevier, vol. 19(3), pages 435-451.
    3. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    4. Jose Luis Fernandez-Serrano & M. Dolores Robles-Fernandez, 2008. "Time-series model forecasts and structural breaks: evidence from Spanish pre-EMU interest rates," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1707-1721.
    5. Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
    6. Lahmiri, Salim, 2016. "Interest rate next-day variation prediction based on hybrid feedforward neural network, particle swarm optimization, and multiresolution techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 388-396.
    7. Arunanondchai, Panit & Senia, Mark C. & Capps, Oral Jr, 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252717, Southern Agricultural Economics Association.
    8. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    9. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    10. Pami Dua & Nishita Raje & Satyananda Sahoo, 2008. "Forecasting Interest Rates in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 2(1), pages 1-41, March.
    11. Moosa, Imad A. & Vaz, John, 2018. "Direct and Indirect Forecasting of Cross Exchange Rates," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 173-190.

  12. Prasad V. Bidarkota & J. Huston McCulloch, 1998. "Optimal univariate inflation forecasting with symmetric stable shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(6), pages 659-670.
    See citations under working paper version above.

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 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-FIN: Finance (2) 2001-05-02 2003-10-20
  2. NEP-ETS: Econometric Time Series (1) 2003-10-20
  3. NEP-FMK: Financial Markets (1) 2001-05-02
  4. NEP-RMG: Risk Management (1) 2003-10-20

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, Prasad V. Bidarkota 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.