An Empirical Segmentation of Users of Mobile Banking Apps

Digital technologies have squeezed the entire world into a small frame. Trade and transactions never stop, and they go where the customer is. Marketers must reinvent their strategies and toolkits to win in this hyper-connected world. Companies are creating new and improved ways for engaging and involving their consumers, and one significant tool now used by companies for these purposes is the app. Mobile phones have registered the highest growth among all technological evolutions, and mobile apps are proliferating. Apps are being used across a diverse range of industry verticals, including banking, e-commerce, travel, and tourism. This article studies a set of twenty different banking apps and segments consumers based on their adoption and usage of the apps. This article emphasizes the role of mobile technologies to change established channels and banking services, and also analyzes how the Indian banking sector has benefited from the adoption of mobile apps.     

Developing countries' strategic opportunities

The rapid transition from the industrial age to the knowledge age may require developing nations to reassess their strategies toward the attraction of foreign investment. Highly focused technology villages based on the creation of industry-specific technology infrastructures blended with educated and trained nationals may be the best alternative for benefiting from the global economic changes. © 1998 John Wiley & Sons, Inc.     

Pricing and managing risks of ruin contingent life annuities under regime switching variance gamma process

We propose a model for valuing ruin contingent life annuities under the regime-switching variance gamma process. The Esscher transform is employed to determine the equivalent martingale measure. The PIDE approach is adopted for the pricing formulation. Due to the path dependency of the payoff of the insurance product and the non-existence of a closed-form solution for the PIDE, the finite difference method is utilized to numerically calculate the value of the product. To highlight some practical features of the product, we present a numerical example. Finally, we examine numerically the performance of a simple hedging strategy by investigating the terminal distribution of hedging errors and the associated risk measures such as the value at risk and the expected shortfall. The impacts of the frequency of re-balancing the hedging portfolio on the quality of hedging are also discussed.