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2004 | 6 | 203--211
Tytuł artykułu

Dynamic Hedging Portfolios - Application of Bivariate GARCH Models

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this article, firstly, performance of such strategy is analysed using futures contracts on WIG20 stock index quoted on the Warsaw Stock Exchange (WSE). Secondly, hedging performance of different specifications of GARCH models is compared. In most other studies only selected formulation is used. Thirdly, hedging effectiveness of an error correction model with a GARCH error structure is also investigated. Fourthly, methods used by practitioners of the financial market to forecast variances and covariances of returns are applied in estimating hedge ratios. The article is laid out in four sections. Section 2 outlines the competing methods of estimating hedge ratios. In Section 3 hedging performance of presented strategies is investigated using WIG20 stock index and futures contracts on WIG 20 index quoted on the WSE. Section 4 concludes.(fragment of text)
Rocznik
Tom
6
Strony
203--211
Opis fizyczny
Twórcy
  • Nicolaus Copernicus University in Toruń, Poland
Bibliografia
  • Baillie, R. T., Myers, R. J. (1991), Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge, Journal of Applied Econometrics, 6, 109-124.
  • Bollerslev, T. (1990), Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized ARCH Approach, Review of Economics and Statistics, 72, 498-505.
  • Bollerslev, T., Chou, R. Y., Kroner, K. F. (1992), ARCH Modelling in Finance: A Review of the Theory and Empirical Evidence, Journal of Econometrics, 52, 5-59.
  • Bollerslev, T., Engle, R. F., Nelson, D. B. (1994), ARCH Models, in: Engle R. F., McFadden D., (eds.), Handbook of Econometrics, Vol. 4, Elsevier Science B. V., Amsterdam.
  • Cecchetti, S. G., Cumby, R. E., Figlewski, S. (1988), Estimation of Optimal Hedge, Review of Economics and Statistics, 50, 623-630.
  • Engle, R. F., Kroner, K. F. (1995), Multivariate Simultaneous Generalized ARCH, Econometric Theory, 11, 122-150.
  • Fiszeder, P. (2003), Testy stałości współczynników korelacji w wielorównaniowym modelu GARCH - analiza korelacji między indeksami giełdowymi: WIG, DJIA i Nasdaq Composite (Tests for Constant Correlations in a Multivariate GARCH Model - Analysis of Correlations between Stock Indices: WIG, DJIA and Nasdaq Composite), Przegląd Statystyczny(Statistical Survey), 50, 2, 53-71.
  • Gagnon, L., Lypny, G. (1995), Hedging Short-Term Interest Risk Under Time-Varying Distributions, Journal of Futures Markets, 1995, 15, 767-783.
  • Hull, J. (1997), Kontrakty terminowe i opcje. Wprowadzenie, WIG-Press Warszawa.
  • Kroner, K. F., Sultan, J. (1993), Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures, Journal of Financial and Quantitative Analysis, 28, 535-551.
  • Litterman, R., Winkelmann, K., Estimating Covariance Matrices, Risk Management Series, 1998, Goldman Sachs.
  • Myers, R. J. (1991), Estimating Time-Varying Optimal Hedge Ratios on Futures Markets, Journal of Futures Markets, 11, 39-53.
  • Osiewalski, J., Pipień M. (2002), Multivariate t-GARCH models - Bayesian Analysis for Exchange Rates, MACROMODELS'2000 - Conference Proceedings, Absolwent, Łódź 2001; Corrected printing in: Modelling Economies in Transition - Proceedings of the Sixth AMFET Conference, Absolwent, Łódź 2002.
  • Park, T. H., Switzer, L. N. (1995), Bivariate GARCH Estimation of the Optimal Hedge Ratios for Stock Index Futures: A Note, Journal of Futures Markets, 15, 61-67.
  • Tong, W. H. S. (1996), An Examination of Dynamic Hedging, Journal of International Money and Finance, 15, 19-35.
  • Zangari, P. (1996), RiskMetrics - Technical Documents, J. P. Morgan, New York.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171297193

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