HEDGING INTEREST RATE RISK UNDER TERM STRUCTURE EFFECTS: AN APPLICATION TO FINANCIAL INSTITUTIONS

In this paper we investigate the use of the structured full rank model for hedging the balance sheet of a financial institution. Simulation results suggest that the optimal hedge is insensitive to changes in parameter estimates. In addition, we hedge a portfolio of Treasury bills using both the full information covariance matrix and the structured covariance matrix. We then contrast these results with those obtained from a duration-based model. Empirical results suggest that the structured full rank model is generally more effective in hedging applications than either the full information model or duration-based model.     

‘Double marginalization’ problems: evidence from the Korean fixed-to-mobile service market

In this paper, examination of the possibility of a ‘double marginalization’ problem existing in the Korean telecommunication industry is conducted and suggestions are made for the provision of a new scheme to eliminate this possibility by changing the pricing system for fixed-to-mobile calls. Based on five key economic characteristics in the Korean mobile market, a simple model for double marginalization in the telecommunication market is introduced. Evidence was found to suggest that a double marginalization problem is likely to exist within Korea's telecommunication industry as it is presently structured, and that this problem is further likely to have an adverse effect on the industry by inflating the price of fixed-to-mobile calls. Two alternatives are proposed to effectively remedy this double marginalization issue. It is also shown that prices of fixed-to-mobile calls could be lowered by changing the caller pays principle into a receiver pays principle.     

E-banking comes to town: Exploring how traditional UK high street banks are meeting the challenge of technology and virtual relationships

UK high street banks are continuing to extend the choice of channel through which customers can manage their moneycolon; an obvious example is e-banking. They have been keen to exploit technological advances and changing customer attitudes to alternative channels. Additionally, competition from leaner new market entrants has provided an added incentive to adopt new approaches. In the light of such developments, it is worth reflecting on the changing nature of the bank–customer relationship. This paper suggests that banks are finding it difficult to manage relationships effectively due, in large measure, to the sheer volume of customer data generated by new interactive, technology-based channels. Paradoxically, it seems that the more data banks have about customers the less likely they are to know them on a personal level. It is further suggested that channels such as e-banking potentially reduce the level of personal contact between bank and customer to the extent that a ‘virtual’ relationship develops. This paper concludes that, given the tendency towards ‘virtualisation’, it is inconceivable that bank–customer relationships will become any more intimate in the future. Indeed, a greater degree of personalisation in customer communication may be the very best that banks are able to offer.