6533b870fe1ef96bd12cfa0b

RESEARCH PRODUCT

Stochastic dynamical modelling of spot freight rates

Steen KoekebakkerChe Mohd Imran Che TaibFred Espen Benth

subject

Geometric Brownian motionStochastic volatilityStochastic processApplied MathematicsStrategy and ManagementManagement Science and Operations ResearchLévy processManagement Information SystemsExponential functionInverse Gaussian distributionsymbols.namesakeAutoregressive modelModeling and SimulationsymbolsStatistical physicsVolatility (finance)General Economics Econometrics and FinanceMathematics

description

Based on empirical analysis of the Capesize and Panamax indices, we propose different continuous-time stochastic processes to model their dynamics. The models go beyond the standard geometric Brownian motion, and incorporate observed effects like heavy-tailed returns, stochastic volatility and memory. In particular, we suggest stochastic dynamics based on exponential Levy processes with normal inverse Gaussian distributed logarithmic returns. The Barndorff-Nielsen and Shephard stochastic volatility model is shown to capture time-varying volatility in the data. Finally, continuous-time autoregressive processes provide a class of models sufficiently rich to incorporate short-term persistence of freight rates. Our proposed dynamical models are fitted to market data. Finally, a numerical Value-at-Risk exercise is provided that illustrate the significance of using more sophisticated models than geometric Brownian motion.

https://doi.org/10.1093/imaman/dpu001