IDEAS home Printed from https://ideas.repec.org/r/eee/intfor/v15y1999i4p383-392.html
   My bibliography  Save this item

Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS

Citations

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


Cited by:

  1. Amos Golan & Jeffrey M. Perloff, 2004. "Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 433-438, February.
  2. Salvador Gil-Pareja & Simón Sosvilla-Rivero, 2004. "Export Market Integration in the European Union," Journal of Applied Economics, Taylor & Francis Journals, vol. 7(2), pages 271-301, November.
  3. Angelos Kanas, 2003. "Non-linear forecasts of stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 299-315.
  4. Lior Cohen & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2019. "Has the ECB’s monetary policy prompted companies to invest, or pay dividends?," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4920-4938, September.
  5. Reyes Maroto Illera & Francisco Pérez Bermejo & Simón Sosvilla-Rivero, "undated". "An Eclectic Approach to Currency Crises: Drawing Lessons from the EMS Experience," Working Papers 2002-22, FEDEA.
  6. Andrada-Félix Julián & Fernadez-Rodriguez Fernando & Garcia-Artiles Maria-Dolores & Sosvilla-Rivero Simon, 2003. "An Empirical Evaluation of Non-Linear Trading Rules," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-32, October.
  7. Fariña Gómez, Beatriz & Rojo García, José Luis, 2006. "Características de las Distribuciones Mensuales del "Ciclo de Ambiente" de la Economia Española," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 24, pages 397-425, Abril.
  8. Oscar Bajo-Rubio & Simón Sosvilla-Rivero & Fernando Fernández-Rodríguez, "undated". "Non-Linear Forecasting Methods: Some Applications to the Analysis of Financial Series," Working Papers 2002-01, FEDEA.
  9. Y. Shi & A. N. Gorban & T. Y. Yang, 2013. "Is it possible to predict long-term success with k-NN? Case Study of four market indices (FTSE100, DAX, HANGSENG, NASDAQ)," Papers 1307.8308, arXiv.org.
  10. S. Sosvilla-Rivero & R. Maroto-Illera, 2003. "Regimen changes and duration in the European Monetary System," Applied Economics, Taylor & Francis Journals, vol. 35(18), pages 1923-1933.
  11. Simón Sosvilla-Rivero & Emma García, "undated". "Purchasing Power Parity Revisited," Working Papers 2003-20, FEDEA.
  12. Bajo-Rubio, Oscar & Sosvilla-Rivero, Simon & Fernandez-Rodriguez, Fernando, 2001. "Asymmetry in the EMS: New evidence based on non-linear forecasts," European Economic Review, Elsevier, vol. 45(3), pages 451-473, March.
  13. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, "undated". "Nearest-Neighbour Predictions in Foreign Exchange Markets," Working Papers 2002-05, FEDEA.
  14. 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.
  15. Inmaculada Martínez-Zarzoso & Marta Gómez-Puig & Simón Sosvilla-Rivero, 2019. "“Re-examining the debt-growth nexus: A grouped fixed-effect approach”," IREA Working Papers 201911, University of Barcelona, Research Institute of Applied Economics, revised Jul 2019.
  16. Rodríguez-Vargas, Adolfo, 2020. "Forecasting Costa Rican inflation with machine learning methods," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
  17. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
  18. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Ramos-Herrera, María del Carmen, 2014. "An update on EMU sovereign yield spread drivers in times of crisis: A panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 133-153.
  19. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, "undated". "Technical Analysis in Foreign Exchange Markets: Linear Versus Nonlinear Trading Rules," Working Papers on International Economics and Finance 00-02, FEDEA.
  20. Julián Andrada Félix & Fernando Fernández Rodríguez & María Dolores García Artiles, 2004. "Non-linear trading rules in the New York Stock Exchange," Documentos de trabajo conjunto ULL-ULPGC 2004-05, Facultad de Ciencias Económicas de la ULPGC.
  21. Zhang, Ningning & Lin, Aijing & Shang, Pengjian, 2017. "Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 477(C), pages 161-173.
  22. Klender Cortez & Martha del Pilar Rodríguez-García & Samuel Mongrut, 2020. "Exchange Market Liquidity Prediction with the K-Nearest Neighbor Approach: Crypto vs. Fiat Currencies," Mathematics, MDPI, vol. 9(1), pages 1-15, December.
  23. Simon Sosvilla-Rivero & Julian Andrada-Felix & Fernando Fernandez-Rodriguez, 2002. "Further evidence on technical trade profitability and foreign exchange intervention," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 827-832.
  24. 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.
  25. Simón Sosvilla-Rivero & Julián Andrada-Félix & Fernando Fernández-Rodríguez, "undated". "Further evidence on technical analysis and profitability of foreign exchange intervention," Working Papers 99-01, FEDEA.
  26. Clements, Kenneth W. & Lan, Yihui, 2010. "A new approach to forecasting exchange rates," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1424-1437, November.
  27. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
  28. Robert Kremer & Sherrill Shaffer, 2007. "Improving the accuracy of forward exchange rate forecasts by correcting for prior bias," Applied Financial Economics, Taylor & Francis Journals, vol. 17(18), pages 1469-1478.
  29. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Martínez-Zarzoso, Inmaculada, 2022. "On the heterogeneous link between public debt and economic growth," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
  30. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
  31. Peter Sephton, 2001. "Forecasting recessions: can we do better on MARS?," Review, Federal Reserve Bank of St. Louis, vol. 83(Mar), pages 39-49.
  32. Kück, Mirko & Freitag, Michael, 2021. "Forecasting of customer demands for production planning by local k-nearest neighbor models," International Journal of Production Economics, Elsevier, vol. 231(C).
  33. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
  34. Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
  35. Heinz, Adrian & Jamaloodeen, Mohamed & Saxena, Atul & Pollacia, Lissa, 2021. "Bullish and Bearish Engulfing Japanese Candlestick patterns: A statistical analysis on the S&P 500 index," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 221-244.
  36. Reick, Christian H & Page, Bernd, 2000. "Time series prediction by multivariate next neighbor methods with application to zooplankton forecasts," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 52(3), pages 289-310.
  37. Julián Andrada-Félix & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez, 2015. "Fixed income strategies based on the prediction of parameters in the NS model for the Spanish public debt market," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(2), pages 207-245, June.
  38. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
  39. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.
  40. Arroyo, Javier & Maté, Carlos, 2009. "Forecasting histogram time series with k-nearest neighbours methods," International Journal of Forecasting, Elsevier, vol. 25(1), pages 192-207.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.