Forecasting market crashesDoes density specification matter?

  1. DEL BRIO, Esther B. 1
  2. PEROTE, Javier 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Rey Juan Carlos University,
Revista:
Applied econometrics and international development

ISSN: 1578-4487

Año de publicación: 2008

Volumen: 8

Número: 1

Páginas: 53-58

Tipo: Artículo

Otras publicaciones en: Applied econometrics and international development

Resumen

The current research examines the capacity of the Edgeworth-Sargan density on forecasting market crashes. Focusing on the 1987 stock market crash the performance of this distribution is compared to the Student’s t concluding that the latter overestimates the risk. In contrast, and due to its flexible parametric structure, the Edgeworth-Sargan density is capable of more accurately forecasting the risk of highly volatile scenarios, especially when intraday data is available. We use daily and hourly data from the FTSE and Dow Jones indices.

Referencias bibliográficas

  • Al-Loughani, A., and D. Campbell (1997): “On the Validity of the Weak-form Efficient Markets Hypothesis Applied to the London Stock Exchange,” Applied Financial Economics, 7, 173-176.
  • Bollerslev, T. (1987): “A Conditional Heteroskedastic Time Series Model for Speculative Prices and Rates of Return,” Review of Economics and Statistics, 69, 542-547.
  • Gallant, R., and D. Nychka (1987): “Seminonparametric Maximum Likelihood Estimation,” Econometrica, 55, 363-390.
  • Harvey, C.R. and A. Sidiqque (1999): “Autorregresive Conditional Skewness,” Journal of Financial and Quantitative Analysis, 34, 465-487.
  • Lo, A.W. and A.C. MacKinlay (1988): “Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test,” Review of Financial Studies, 1, 4166.
  • Mauleon, I. and J. Perote (2000): “Testing Densities with Financial Data: An Empirical Comparison of the Edgeworth-Sargan to the Student’s t,” European Journal of Finance, 6, 225-239.
  • Mencía, J., E. Sentana and A. León (2005): “Parametric Properties of SemiNonparametric Distributions, with Applications to Option Valuation”. CEPR Discussion Paper, No. 5435.
  • Praetz, P. (1972): “The Distribution of Share Price Changes”, Journal of Business, 45, 49-55.
  • Rogalski, R. and J. Vinso (1978): “Empirical Properties of Foreign Exchange Rates,” Journal of International Business Studies, 9, 69-79.