PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2011 | 11 | 185--202
Tytuł artykułu

ARCH Effect in Classical Market-Timing Models with Lagged Market Variable : the Case of Polish Market

Autorzy
Treść / Zawartość
Warianty tytułu
Efekt ARCH w klasycznych modelach market-timing z opóźnioną zmienną rynkową : przypadek rynku polskiego
Języki publikacji
EN
Abstrakty
EN
The main goal of this study is to present the regressions of the GARCH versions of classical market-timing models of Polish equity funds. We examine the models with lagged values of the market factor as an additional variable because of the Fisher's effect1 in the case of the main Warsaw Stock Exchange indexes. The market-timing and selectivity abilities of fund managers are evaluated for the period Jan 2003 - June 2011. Results on both the HAC and the GARCH estimates are qualitatively similar, and even better in the case of the simpler HAC method. For this reason, it is not necessary to estimate the GARCH versions of market-timing models in the case of Polish mutual funds, even despite the strong ARCH effects that exist in these models. (original abstract)
W artykule przedstawiono badania dokumentujące występowanie efektu ARCH w klasycznych modelach market-timing z opóźnioną zmienną rynkową w przypadku polskich funduszy akcji, w okresie styczeń 2003-czerwiec 2011. Dokonano estymacji wersji GARCH odpowiednich modeli oraz porównano jakość modeli GARCH i modeli uzyskanych metodą HAC. Wyniki wskazują, że modele GARCH są odpowiednie, ale metoda HAC jest wystarczająca, pomimo występowania efektu ARCH. Podano również interpretacje parametrów otrzymanych modeli w badanej grupie funduszy. (abstrakt oryginalny)
Rocznik
Tom
11
Strony
185--202
Opis fizyczny
Twórcy
  • Bialystok University of Technology, Poland
Bibliografia
  • Adkins, L.C. (2010), Using Gretl for Principles of Econometrics, 3rd Edition, Version 1.313.
  • Bollen, N.P.B., Busse, J.A. (2001), On the Timing Ability of Mutual Fund Managers, The Journal of Finance, 56(3), 1075-1094.
  • Bollerslev, T. (1986), Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31, 307-327.
  • Bollerslev, T., Wooldridge, J.M. (1992), Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time-Varying Covariances, Econometric Reviews, 11, 143-179.
  • Brzeszczyński, J., Gajdka, J., Schabek, T. (2011), The Role of Stock Size and Trading Intensity in the Magnitude of the "Interval Effect" in Beta Estimation: Empirical Evidence from the Polish Capital Market, Emerging Markets Finance & Trade, 47(1), 28-49.
  • Busse, J.A. (1999), Volatility Timing in Mutual Funds: Evidence from Daily Returns, The Review of Financial Studies, 12, 1009-1041.
  • Campbell, J.Y., Lo A.W., MacKinlay, A.O. (1997), The Econometric of Financial Markets, Princeton University Press, New Jersey.
  • Carhart, M.M. (1997), On Persistence in Mutual Fund Performance, The Journal of Finance, 52, 57-82.
  • Cogneau, P., Hübner, G. (2009), The 101 Ways to Measure Portfolio Performance, Working Paper, http://ssrn.com/abstract=1326076 (Sept 8, 2011).
  • Cohen, K.J., Hawawini, G.A., Maier, S.F., Schwartz, R.A., Whitcomb, D.K. (1980), Implications of Microstructure Theory for Empirical Research on Stock Price Behaviour, The Journal of Finance, 35, 249-257.
  • Dimson, E. (1979), Risk Measurement when Shares are Subject to Infrequent Trading, Journal of Financial Economics, 7, 197-226.
  • Doman, M., Doman, R. (2004), Ekonometryczne modelowanie dynamiki polskiego rynku finansowego, Wydawnictwo Akademii Ekonomicznej w Poznaniu, Poznań.
  • Doman, M. (2010), Liquidity and Market Microstructure Noise: Evidence from the Pekao Data, Dynamic Econometric Models, 10, 5-14.
  • Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflations, Econometrica, 50, 987-1007.
  • Engle, R.F. (ed.) (2000), ARCH. Selected Readings, Oxford University Press.
  • Fama, E.F., French, K.R. (1993), Common Risk Factors in the Returns on Stocks and Bonds, Journal of Financial Economics, 33, 3-56.
  • Fisher, L. (1966), Some New Stock Market Indexes, Journal of Business, 39, 191-225.
  • Fiszeder, P. (2009), Modele klasy GARCH w empirycznych badaniach finansowych (The Class of GARCH Models in Empirical Finance Research), Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, Toruń.
  • Ferson, W.E., Schadt R.W. (1996), Measuring Fund Strategy and Performance in Changing Economic Conditions, The Journal of Finance, 51, 425-461.
  • Greene, W.H. (2002), Econometric Analysis, Fifth Edition, Prentice Hall, New Jersey.
  • Hamilton, J.D. (2008), Macroeconomics and ARCH, Working Paper 14151, NBER Working Paper Series, Cambridge.
  • Henriksson, R., Merton, R. (1981), On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills, Journal of Business, 54, 513-533.
  • Henriksson, R. (1984), Market Timing and Mutual Fund Performance: an Empirical Investigation, Journal of Business, 57, 73-96.
  • Jensen, M. (1968), The Performance of Mutual Funds in the Period 1945-1964, The Journal of Finance, 23, 389-416.
  • Kao, G.W., Cheng, L.T., Chan, K.C. (1998), International Mutual Fund Selectivity and Market Timing During Up and Down Market Conditions, The Financial Review, 33, 127-144.
  • Kufel, T. (2009), Ekonometria. Rozwiązywanie problemów z wykorzystaniem programu Gretl, PWN, Warszawa.
  • Lee, J. H. H. (1991), A Lagrange Multiplier Test for GARCH Models, Economics Letters, 37, 265-271.
  • Ljung, G., Box, G.E.P. (1978), On a Measure of Lack of Fit in Time Series Models, Biometrika, 66, 67-72.
  • Olbryś, J. (2012), Wieloczynnikowe hybrydowe modele market-timing polskich funduszy inwestycyjnych (Multifactor Hybrid Market-Timing Models of Polish Mutual Funds), Studia Ekonomiczne - Zeszyty Naukowe, Uniwersytet Ekonomiczny w Katowicach, accepted for publication.
  • Olbryś, J. (2011a), Book-to-Market, Size and Momentum Factors in Market-Timing Models: the Case of Polish Emerging Market, Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration of Tallinn University of Technology, 3(2), accepted for publication.
  • Olbryś, J. (2011b), The Intertemporal Cross Price Behavior and the "Fisher Effect" on the Warsaw Stock Exchange, Ekonometria 31. Theory and Applications of Quantitative Methods. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, accepted for publication.
  • Olbryś, J. (2010a), Orthogonalized Factors in Market-Timing Models of Polish Equity Funds, Quantitative Methods in Economics, WULS Press, 11(1), 128-138.
  • Olbryś, J. (2010b), Three-Factor Market-Timing Models with Fama and French's Spread Variables, Operations Research and Decisions, 2/2010, 91-106.
  • Olbryś, J. (2009), Conditional Market-Timing Models for Mutual Fund Performance Evaluation, Prace i Materiały Wydziału Zarządzania Uniwersytetu Gdańskiego, 4/2, 519-532.
  • Romacho, J.C., Cortez, M.C. (2006), Timing and Selectivity in Portuguese Mutual Fund Performance, Research in International Business and Finance, 20, 348-368.
  • Scholes, M., Williams, J. (1977), Estimating Betas from Nonsynchronous Data, Journal of Financial Economics, 5, 309-327.
  • Treynor, J., Mazuy, K. (1966), Can Mutual Funds Outguess the Market?, Harvard Business Review, 44, 131-136.
  • Tsay, R.S. (2010), Analysis of Financial Time Series, John Wiley, New York.
  • Wermers, R. (2000), Mutual Fund Performance: an Empirical Decomposition into Stock-Picking Talent, Style, Transaction Costs, and Expenses. The Journal of Finance, 55, 1655-1703.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171232659

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.