IDEAS home Printed from https://ideas.repec.org/p/col/000094/003468.html
   My bibliography  Save this paper

Returns And Interest Rate: A Nonlinear Relationship In The Bogota Stock Market

Author

Listed:
  • Luis Eduardo Arango
  • Andrés González
  • Carlos Esteban Posada

Abstract

This work presents some evidence of the nonlinear and inverse relationship between the share prices on the Bogotá stock market and the interest rate as measured by the interbank loan interest rate, which is to some extent affected by monetary policy. The model captures the stylised fact on this market of high dependence of returns in short periods of time. These findings do not support any efficiency on the main stock market in Colombia. Evidence of a non constant equity premium is also found. The work uses daily data from January 1994 up to February 2000.

Suggested Citation

  • Luis Eduardo Arango & Andrés González & Carlos Esteban Posada, 2001. "Returns And Interest Rate: A Nonlinear Relationship In The Bogota Stock Market," Borradores de Economia 3468, Banco de la Republica.
  • Handle: RePEc:col:000094:003468
    as

    Download full text from publisher

    File URL: http://www.banrep.gov.co/docum/ftp/borra169.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Brock, W.A. & Dechert, W.D. & LeBaron, B. & Scheinkman, J.A., 1995. "A Test for Independence Based on the Correlation Dimension," Working papers 9520, Wisconsin Madison - Social Systems.
    3. Campbell, John Y., 1999. "Asset prices, consumption, and the business cycle," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 19, pages 1231-1303, Elsevier.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    6. Ben S. Bernanke & Mark Gertler, 1999. "Monetary policy and asset price volatility," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 77-128.
    7. Lundbergh, Stefan & Terasvirta, Timo & van Dijk, Dick, 2003. "Time-Varying Smooth Transition Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 104-121, January.
    8. Baillie, Richard T & Bollerslev, Tim, 2002. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 60-68, January.
    9. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. López Gaviria, José Ignacio, 2019. "Predictibilidad del mercado accionario colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 91, pages 117-150, July.
    2. Claudio Bonilla & Rafael Romero-Meza & Melvin Hinich, 2006. "Episodic nonlinearity in Latin American stock market indices," Applied Economics Letters, Taylor & Francis Journals, vol. 13(3), pages 195-199.
    3. Alam, Md. Mahmudul & Uddi, Gazi Salah, 2019. "Relationship between Interest Rate and Stock Price: Empirical Evidence from Developed and Developing Countries," SocArXiv 5fket, Center for Open Science.
    4. Francisco Jareno, 2008. "Spanish stock market sensitivity to real interest and inflation rates: an extension of the Stone two-factor model with factors of the Fama and French three-factor model," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3159-3171.
    5. Andrew Phiri, 2018. "Has the South African Reserve Bank responded to equity returns since the sub-prime crisis? An asymmetric convergence approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 10(3), pages 205-225.
    6. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2017. "Interest rate dynamic effect on stock returns and central bank transparency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 951-962.
    7. BENDOB, Ali & Benahmed-Daho, Rachida, 2017. "Pourrions-nous utiliser l'Euribor comme taux de rendement sans risque dans la région Arabe ? [Could we use the Euribor as risk-free rate return in Arabic region?]," MPRA Paper 81405, University Library of Munich, Germany, revised Jun 2017.
    8. María de la O & Francisco JAREÑO, Francisco & SKINNER, Frank S., 2017. "The Financial Crisis Impact: An Industry Level Analysis Of The Us Stock Market González," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 17(2), pages 61-74.
    9. José Ignacio López-Gaviria, 2019. "Colombia’s stock market predictability," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 91, pages 117-150, Julio - D.
    10. Pooja Joshi & Arun Kumar Giri, 2015. "Fiscal Deficits and Stock Prices in India: Empirical Evidence," IJFS, MDPI, vol. 3(3), pages 1-18, August.
    11. Fredj Jawadi & Mohamed Hedi Arouri & Duc Khuong Nguyen, 2010. "Global financial crisis, liquidity pressure in stock markets and efficiency of central bank interventions," Applied Financial Economics, Taylor & Francis Journals, vol. 20(8), pages 669-680.
    12. Phiri, Andrew, 2017. "Has the South African Reserve Bank responded to equity prices since the sub-prime crisis? An asymmetric convergence approach," MPRA Paper 76542, University Library of Munich, Germany.
    13. Pallegedara, Asankha, 2012. "Dynamic relationships between stock market performance and short term interest rate Empirical evidence from Sri Lanka," MPRA Paper 40773, University Library of Munich, Germany.
    14. María Clara Aristizábal Restrepo, 2006. "Evaluación asimétrica de una red neuronal artificial:Aplicación al caso de la inflación en Colombia," Borradores de Economia 377, Banco de la Republica de Colombia.
    15. González, María de la O & Jareño, Francisco, 2019. "Testing extensions of Fama & French models: A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 188-204.
    16. Khrawish, Husni Ali & Siam, Walid Zakaria & Jaradat, Mohammad, 2010. "The relationships between stock market capitalization rate and interest rate: Evidence from Jordan," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 2(2), pages 1-7, July.
    17. David Mauricio Rivera Palacio, 2009. "Modelacion del efecto del día de la semana para los índices accionarios de Colombia mediante un modelo STAR GARCH," Revista de Economía del Rosario, Universidad del Rosario, May.
    18. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    19. Alam, Md. Mahmudul & Uddin, Gazi Salah, 2019. "The Impacts of Interest Rate on Stock Market: Empirical Evidence from Dhaka Stock Exchange," OSF Preprints r3jpx, Center for Open Science.
    20. Rafael Romero-Meza & Claudio Bonilla & Melvin Hinich, 2007. "Nonlinear event detection in the Chilean stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 987-991.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jawadi Fredj & Koubaa Yousra, 2004. "Threshold Cointegration between Stock Returns : An application of STECM Models," Econometrics 0412001, University Library of Munich, Germany.
    2. Wali, Muammer & Chan, Felix & Manzur, Meher, 2017. "Nonlinear dependence in exchange rate returns: How do emerging Asian currencies compare with major currencies?," Journal of Asian Economics, Elsevier, vol. 50(C), pages 62-72.
    3. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    4. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
    5. Dutta, Shantanu & Essaddam, Naceur & Kumar, Vinod & Saadi, Samir, 2017. "How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 867-877.
    6. Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 237-251, July.
    7. Param Silvapulle & Titi Kanti Lestari & Jae Kim, 2004. "Nonlinear Modelling of Purchasing Power Parity in Indonesia," Econometric Society 2004 Australasian Meetings 316, Econometric Society.
    8. Amin Aminimehr & Ali Raoofi & Akbar Aminimehr & Amirhossein Aminimehr, 2022. "A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 781-815, August.
    9. Zhao, Yixiu & Upreti, Vineet & Cai, Yuzhi, 2021. "Stock returns, quantile autocorrelation, and volatility forecasting," International Review of Financial Analysis, Elsevier, vol. 73(C).
    10. Stefano Giglio & Bryan Kelly, 2018. "Excess Volatility: Beyond Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 71-127.
    11. David Allen & Stephen Satchell & Colin Lizieri, 2024. "Quantifying the non-Gaussian gain," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 1-18, February.
    12. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    13. Huber, Christoph & Kirchler, Michael, 2023. "Experiments in finance: A survey of historical trends," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    14. Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    15. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2004. "Fractional cointegration and tests of present value models," Review of Financial Economics, John Wiley & Sons, vol. 13(3), pages 245-258.
    16. Inoua, Sabiou M. & Smith, Vernon L., 2023. "A classical model of speculative asset price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    17. Shi, Leilei & Wang, Binghong & Guo, Xinshuai & Li, Honggang, 2021. "A price dynamic equilibrium model with trading volume weights based on a price-volume probability wave differential equation," International Review of Financial Analysis, Elsevier, vol. 74(C).
    18. Leung, Henry & Schiereck, Dirk & Schroeder, Florian, 2017. "Volatility spillovers and determinants of contagion: Exchange rate and equity markets during crises," Economic Modelling, Elsevier, vol. 61(C), pages 169-180.
    19. Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers of BETA 2019-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    20. Georges Prat & Fredj Jawadi, 2007. "Nonlinear stock prices adjustment in the G7 countries," Working Papers halshs-00172896, HAL.

    More about this item

    Keywords

    nonlinearities;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000094:003468. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Clorith Angelica Bahos Olivera (email available below). General contact details of provider: .

    Please note that corrections may 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.