PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2009 | 12 | nr 4 | 47--60
Tytuł artykułu

Modelling and Forecasting the Volatility of Thin Emerging Stock Markets : the Case of Bulgaria

Warianty tytułu
Modelowanie i prognozowanie zmienności na wschodzących rynkach giełdowych : przypadek Bułgarii
Języki publikacji
EN
Abstrakty
EN
Modern Portfolio Theory associates the stock market risk with the volatility of return. Volatility is measured by the variance of the returns' distribution. However, the investment community does not accept this measure, since it weights equally deviations of the average returns, whereas most investors determine the risk on the basis of small or negative returns. In the last few years the measure Value at Risk (VaR) has been established and adopted widely by practitioners. The issue of modelling and forecasting thin emerging stock markets' risk is still open. The subject of this present paper is the risk of the Bulgarian stock market. The aim of this research is to give the investment community a model for assessing and forecasting the Bulgarian stock market risk. The result of this research shows that the SOFIX index has basic characteristics that are observed in most of the emerging stock markets, namely: high risk, significant autocorrelation, non-normality and volatility clustering. Three models have been applied to assess and estimate the Bulgarian stock market risk: RiskMetrics, EWMA with t-distributed innovations and EWMA with GED distributed innovations. The results revealed that the EWMA with t-distributed innovations and the EWMA with GED distributed innovations evaluate the risk of the Bulgarian stock market adequately. (original abstract)
Przedmiotem artykułu jest modelowanie i prognozowanie wskaźników giełdowych. Szczególna uwaga poświęcona jest analizie ryzyka na bułgarskiej giełdzie papierów wartościowych. Celem tej analizy jest opracowanie wiarygodnego modelu oceny i prognozowania ryzyka na bułgarskiej giełdzie papierów wartościowych. Przeprowadzone analizy wskazują, że indeks giełdowy SOFIX charakteryzuje się typowymi cechami: wysokim ryzykiem autokorelacji i nienormalnym rozczłonkowaniem. W celu oszacowania i oceny ryzyka giełdy w Bułgarii wykorzystano trzy modele: RiskMetrics, EWMA oraz zmodyfikowany model EWMA. Z analiz wynika, że dwa ostatnie modele dosyć dokładnie szacują ryzyko na bułgarskiej giełdzie papierów wartościowych. (abstrakt oryginalny)
Rocznik
Tom
12
Numer
Strony
47--60
Opis fizyczny
Twórcy
Bibliografia
  • Aggarwal, R., C. Inclan and, R. Leal, (1999), Volatility in Emerging Stock Markets, Journal of Financial and Quantitative Analysis, 34, pp. 33-55
  • Bank for International Settlements, 1996, Amendment to the Capital Accord to Incorporate Market Risk", Basel, Switzerland
  • Balaban, E., A. Bayar, and, R. Faff, (2003), Forecasting Stock Market Volatility: Evidence from 14 Countries, 10th Global Finance Conference 2003, Frankfurt/Main, June 15-17, 2003
  • Bams, D. and, J. L. Wielhouwer, (2001), Empirical Issues in Value-at-Risk, Canadian Economic Association, 35-th Annual Conference, May-31 June 3, 2001
  • Bekaert, G. C. B. Erb, C. R. Harvey, and, T. E. Viskanta, (1998), Distributional characteristics of emerging market returns and asset allocation, Journal of Portfolio Management, Winter, pp. 102-116
  • Bollerslev, T., (1986), Generalized Autoregressive Conditional Heteroskedastisity, Journal of Econometrics, 31, pp. 307-327
  • Deloitte and Touche, Tohmatsu, (2002), Global Risk Management Survey
  • Dimson, E. and, P. Marsh, (1990), Volatility forecasting without data-snooping, Journal of Banking and Finance, 14, pp. 399-421
  • Glimore, C. G. and McManus, G. M., (2001), Random-Walk and Efficiency of Central European Equity Markets, Presentation at the 2001 European Financial Management Association, Annual Conference, June 2001 in Lugano, Switzerland
  • Guermat, C. and, R. D. F. Harris, (2002), Forecasting value at risk allowing for time variation in the variance and kurtosis of portfolio returns, International Journal of Forecasting, 18, pp. 409-419
  • Harvey, C. R., (1995a), The Risk Exposure of Emerging Equity Markets, World Bank Economic Review, 9, pp. 18-50
  • Harvey, C. R., (1995b), Predictable Risk and Returns in Emerging Markets, Review of Financial Studies, 8, pp. 773-81
  • Jorion, P., (1997), VaR: The New Benchmark for Controlling Market Risk, R. Irwin Co.
  • Kasch-Haroutounian, M. and Price, S., (2001), Volatility in transition market of Central Europe, Applied Financial Economics, 11, pp. 93-105
  • Kupiec, P., (1995), Techniques for Verifying the Accuracy of Risk Measurement Models, Journal of Derivatives, 3, pp. 73-84
  • Morgan, JP, (1996), RiskMetrics Technical Document, 4th ed., New York
  • Murinde, V. and Poshakwale, S., (2002), Volatility in the Emerging Stock Markets in Central and Eastern Europe: Evidence on Croatia, Czech Republic, Hungary, Poland, Russia and Slovakia, Forthcoming in European Research Studies Journal, 4, pp. 73-101
  • Nelson, D., (1995), Conditional Heteroskedasticity in Asset Returns: A New Approach. in R. Engle (ed.), ARCH: Selected Readings, Oxford University Press
  • Poshakwale, S. and Murinde, V., (2001), Modelling the Volatility in East European Emerging Stock Markets: Evidence on Hungary and Poland, Applied Financial Economics, 11, pp. 445-456
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171192105

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.