This paper reproduces the performance of two international shipping stock indexes and two physical shipping indexes by investing only in stock portfolios that our algorithms determine. In our analysis, we use daily stock data and address the index-tracking problem with the differential evolution...

We develop a coherent framework for the valuation of real assets and determination of the optimal time to invest. To this end, we model the stochastic nature of income and develop methodologies for valuing traded derivatives to facilitate model calibration. A valuation paradigm for...

Crude oil derivatives form an important part of the global derivatives market. In this paper, we focus on Asian options which are favoured by risk managers being effective and cost-saving hedging instruments. The paper has both empirical and theoretical contributions: we conduct an empirical...

We examine whether investors herd in their decision to order new or scrap old vessels in the drybulk market. Our paper is seminal as herd behavior in the shipping markets has not been previously investigated. We decompose herding into unintentional and intentional, and test for herd behavior...

This paper studies the impact of modelling time-varying variances of stock returns in terms of risk measurement and extreme risk spillover. Using a general class of regime-dependent models, we find that volatility can be disaggregated into distinct components: a persistent stable process with...

This paper investigates the dynamics of stock price volatility for different vessel-type segments of the U.S, water transportation industry. We measure market exposure by a portfolio of tanker, dry bulk, container, and gas stocks to examine tail behavior and tail risk dependence. The role of...