We study a continuous-time dynamic capital structure model in which a firm can continuously adjust its capital structure. Unlike previous models, we assume heterogeneous equity and debt holders and segmented equity and debt markets. We show that the expected future equity and debt market...

Existing studies have focused on the negative impact of inefficient resource allocation on energy performance in China's factor market, but neglected to further explore the underlying reason for this phenomenon from the perspective of market segmentation. In this paper, the epsilon-based measure...

We exploit the construction of the Öresund bridge, which connects a medium-sized city in Sweden to the capital of Denmark, to study the labor market effects of gaining access to a larger labor market. Using unique cross-country matched registry data that allow us to follow individuals across...

Existing studies have focused on the impact of inefficient resource allocation on energy performance in China's factor market, but neglected to explore the underlying reason from the perspective of market segmentation. In this paper, the epsilon-based measure model and price index method are...

Shipping freight rates are notoriously volatile and shipping investors are perceived to be risk-loving. This paper explores the stochastic properties of freight rates in the shipping industry and derives the analytical equations for their moments in downside and upside markets using a two-piece...

It is standard procedure to use short-term measures for designing customized marketing campaigns and evaluating their success. We consider the integration of customer lifetime value (CLV) thinking into the category selection problem for targeted coupons. This problem involves two primary...

We develop and test a model of the global trade network. This model connects international comovements of quantities and asset prices to a simple measure of network closeness, constructed from observed trade weights. We report three findings: (1) Countries that are closer in the network tend to...

Good segmentation contributes towards a better understanding of the market and customer demands. This study aims to develop a new methodological approach, integrating "Recency, Frequency and Monetary" with the sparse K-means clustering algorithm of Witten and Tibshirani (2010). The proposed...

The demand for services such as self-storage varies across locations, over time, as well as across customer segments. Service providers try to leverage these variations and maximize profits by adopting dynamic pricing policies. Implementing dynamic pricing, however, requires accurate estimates...