By Peter Gomber, Marco Lutat, Adrian Wranik (auth.), Daniel J. Veit, Dennis Kundisch, Tim Weitzel, Christof Weinhardt, Fethi A. Rabhi, Federico Rajola (eds.)
This booklet comprises the revised papers of the third foreign Workshop on firm functions and prone within the Finance undefined, FinanceCom 2007, held in Montreal, Canada, in December 2007.
The quantity offers one invited paper on know-how for buying and selling and eleven contributions, which have been chosen from 35 submissions.
The papers provided during this quantity all care for cutting edge purposes of novel expertise similar to, e.g. service-oriented architectures or grid computing in banking and finance, and are grouped in sections on buying and selling types and ideas; Banks, IT-Architecture and payment; enterprise Networks and fee platforms; and knowledge hazard and consumer Management.
Read or Download Enterprise Applications and Services in the Finance Industry: 3rd International Workshop, FinanceCom 2007, Montreal, Canada, December 8, 2007. Revised Papers PDF
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Extra info for Enterprise Applications and Services in the Finance Industry: 3rd International Workshop, FinanceCom 2007, Montreal, Canada, December 8, 2007. Revised Papers
Table 3. 95 Choice of Execution Venue. After rating the trading venues, either all of the venues or the most attractive ones can be adopted according to the execution policy. The trading venues that become part of the execution policy are called execution venues. 3 Matching of Weighted Best Execution Factors and Execution Venues In the third step of the process model we consolidate the weighted best execution factors and order groups (step 1) and the evaluation, rating, and selection of venues 24 T.
Traditional customer valuation concepts concentrate on assessing individual customers . However, it is not enough to evaluate customers one by one and consequently decide on acquisition and retention strategies. Not just the risk within a 34 D. Kundisch, S. Sackmann, and M. Ruch single customer relation, but the risk contribution of each customer to the customer portfolio should be taken into account in a customer portfolio valuation. For reasons of simplification and the ability to better predict individual customer behavior, as well as strategic target group considerations, customers are often grouped into segments.
Table 1. 1 To visualize a specific weighting vector, we have to hold all criteria constant except for one. 500 €€ . We differentiate retail and professional clients (Table 1). This example does not claim to be accurate. We do not propose a universally valid methodology to 2 It is unrealistic to assign the same performance to a trading venue for different product groups. A Process Model for Best Execution 21 specify the weights since the correct weighting shall not exist anyway since every investment firm has its own peculiarities.
Enterprise Applications and Services in the Finance Industry: 3rd International Workshop, FinanceCom 2007, Montreal, Canada, December 8, 2007. Revised Papers by Peter Gomber, Marco Lutat, Adrian Wranik (auth.), Daniel J. Veit, Dennis Kundisch, Tim Weitzel, Christof Weinhardt, Fethi A. Rabhi, Federico Rajola (eds.)