The dynamics of time-varying volatilities in different size second-hand ship prices of the dry-cargo sector

This paper examines the dynamics of conditional volatilities in the world dry-bulk market for second-hand ships. In particular, it models and compares volatility estimates between different size vessels using monthly data. The recently developed class of autoregressive conditional heteroskedasticity (ARCH) models are utilized for this purpose. It is found that broadly speaking prices of small vessels are less volatile than larger ones, and the nature of these volatilities vary across sizes. Panamax volatilities are mostly driven by old 'news', while new shocks are more important for Handysize and Capesize volatilities. Furthermore, conditional volatilities of Handysize and Panamax prices are positively related to interest rates and Capesize to time-charters.

[1]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[2]  P. Bougerol,et al.  Stationarity of Garch processes and of some nonnegative time series , 1992 .

[3]  Daniel B. Nelson,et al.  Inequality Constraints in the Univariate GARCH Model , 1992 .

[4]  Michael Beenstock,et al.  An econometric model of the world market for dry cargo freight and shipping , 1989 .

[5]  R. C. Merton,et al.  On Estimating the Expected Return on the Market: An Exploratory Investigation , 1980 .

[6]  H. Iemoto.  Modelling the persistence of conditional variances , 1986 .

[7]  George E. P. Box,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[8]  G. Box,et al.  Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models , 1970 .

[9]  P. Phillips.  Understanding spurious regressions in econometrics , 1986 .

[10]  Anil K. Bera,et al.  Efficient tests for normality, homoscedasticity and serial independence of regression residuals , 1980 .

[11]  C. Engel,et al.  Tests of International CAPM with Time-Varying Covariances , 1987 .

[12]  Tim Bollerslev,et al.  COMMON PERSISTENCE IN CONDITIONAL VARIANCES , 1993 .

[13]  Stephen L Taylor,et al.  Modelling Financial Time Series , 1987 .

[14]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[15]  R. Chou,et al.  ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .

[16]  T. Bollerslev,et al.  Generalized autoregressive conditional heteroskedasticity , 1986 .

[17]  W. Fuller,et al.  LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT , 1981 .

[18]  E. Fama.  The Behavior of Stock-Market Prices , 1965 .

[19]  G. Schwert.  Why Does Stock Market Volatility Change Over Time? , 1988 .

[20]  F. Eugene.  FAMA, . The Behavior of Stock-Market Prices, Journal of Business, , . , 1965 .

[21]  L. Glosten,et al.  On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .

[22]  Manolis G. Kavussanos,et al.  Stock Prices and the Flow of Information in the Athens Stock Exchange , 1996 .

[23]  Wojciech W. Charemza,et al.  An econometric model of world shipping and shipbuilding , 1981 .

[24]  Daniel B. Nelson.  Stationarity and Persistence in the GARCH(1,1) Model , 1990, Econometric Theory.

[25]  Bronwyn H Hall,et al.  Estimation and Inference in Nonlinear Structural Models , 1974 .

[26]  R. Engle.  Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[27]  Jeffrey A. Miron,et al.  Seasonal Unit Roots in Aggregate U.S. Data , 1992 .

[28]  K. French,et al.  Expected stock returns and volatility , 1987 .

[29]  Byung Sam Yoo,et al.  Seasonal integration and cointegration , 1990 .

[30]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[31]  Peter E. Rossi,et al.  Bayesian Analysis of Stochastic Volatility Models , 1994 .

[32]  A. A. Weiss.  ARMA MODELS WITH ARCH ERRORS , 1984 .

[33]  Orazio Attanasio,et al.  Risk, Time-Varying Second Moments and Market Efficiency , 1991 .

[34]  G. Box,et al.  On a measure of lack of fit in time series models , 1978 .

[35]  Christopher G. Lamoureux,et al.  Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects , 1990 .

[36]  Manolis G. Kavussanos,et al.  Price Risk Modelling of Different Size Vessels in the Tanker Industry Using Autoregressive Conditional Heteroskedasticity (ARCH) Models , 1996 .

[37]  R. Engle.  Statistical Models for Financial Volatility , 1993 .