An out-of-sample test for nonlinearity in financial time series: An empirical application
This paper employs a local information, nearest neighbour forecasting methodology to test for evidence of nonlinearity in financial time series. Evidence from well-known data generating process are provided and compared with returns from the Athens stock exchange given the in-sample evidence of nonlinear dynamics that has appeared in the literature. Nearest neighbour forecasts fail to produce more accurate forecasts from a simple AR model. This does not substantiate the presence of in-sample nonlinearity in the series.
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- Theodore Panagiotidis, 2003.
"Market Efficiency and the Euro:The case of the Athens Stock Exchange,"
Public Policy Discussion Papers
03-08, Economics and Finance Section, School of Social Sciences, Brunel University.
- Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer, vol. 37(3), pages 237-251, July.
- Theodore Panagiotidis, 2005. "Market Efficiency and the Euro: The case of the Athens Stock Exchange," Finance 0507022, EconWPA.
- Theodore Panagiotidis, 2003. "Market Efficiency and the Euro:The case of the Athens Stock Exchange," Economics and Finance Discussion Papers 03-08, Economics and Finance Section, School of Social Sciences, Brunel University.
- Theodore Panagiotidis, 2008. "Market Efficiency and the Euro: The case of the Athens Stock exchange," Discussion Paper Series 2008_14, Department of Economics, University of Macedonia, revised Dec 2008.
- Granger Clive W.J., 2008. "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-11, September.
- Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon, 1998. "Testing nonlinear forecastability in time series: Theory and evidence from the EMS," Economics Letters, Elsevier, vol. 59(1), pages 49-63, April.
- David Chappell & Theodore Panagiotidis, 2005. "Using the correlation dimension to detect non-linear dynamics: Evidence from the Athens Stock Exchange," Econometrics 0504005, EconWPA.
- 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.
- Jaditz, Ted & Sayers, Chera L, 1998. "Out-of-Sample Forecast Performance as a Test for Nonlinearity in Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 110-17, January.
- Jaditz Ted & Riddick Leigh A., 2000. "Time-Series Near-Neighbor Regression," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-11, April.
- LeBaron, Blake, 1992.
"Forecast Improvements Using a Volatility Index,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 7(S), pages S137-49, Suppl. De.
- Mizrach, B, 1992. "Multivariate Nearest-Neighbor Forecasts of EMS Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S151-63, Suppl. De.
- Golan, Amos & Perloff, Jeffrey M., 2002.
"Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt2bw559zk, Department of Agricultural & Resource Economics, UC Berkeley.
- 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.
- Golan, Amos & Perloff, Jeffrey M, 2002. "Superior forecasts of the U.S. unemployment rate using a nonparametric method," CUDARE Working Paper Series 956, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- Agnon, Yehuda & Golan, Amos & Shearer, Matthew, 1999. "Nonparametric, nonlinear, short-term forecasting: theory and evidence for nonlinearities in the commodity markets," Economics Letters, Elsevier, vol. 65(3), pages 293-299, December.
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