Mortgage Foreclosures in Atlanta: Patterns and Policy Issues

Metropolitan Atlanta is experiencing a foreclosure boom as the number of failed mortgages more than doubled in less than five years, between 2000 and 2005. These foreclosures impose significant costs not only on borrowers and lenders, but also on municipal governments, neighboring homeowners and others with a financial interest in nearby properties. As a result, foreclosure avoidance strategies must involve not only federal, state and local public agencies, but also responsible mortgage industry officials, consumer groups, and community-based, not-for profit organizations. This report was commissioned by Doug Dylla at NeighborWorks America to help build awareness of foreclosure problems and craft a comprehensive foreclosure-avoidance strategy for metropolitan Atlanta. The work presented here serves as a companion to the Foreclosure Prevention Forum cosponsored by NeighborWorks America and the Atlanta Federal Reserve on May 23, 2005. The forum brought together more than 150 leaders from the mortgage industry, state and local government, the advocacy community, and academic and policy researchers. These participants generated a variety of collaborative approaches to address issues related to mortgage failures and foreclosures in the Atlanta region.The report was written and researched by Mark Duda and William Apgar. It expands on research presented by Duda at the forum and is intended to characterize the current situation with respect to mortgage failures in metropolitan Atlanta, as well as previous research completed by the authors on foreclosure avoidance in Chicago and Los Angeles. The foreclosure data used in this report were generously provided by EquiSystems, LLC, producer of the Atlanta Foreclosure Report

Fairs for e-commerce: the benefits of aggregating buyers and sellers

In recent years, many new and interesting models of successful online business have been developed. Many of these are based on the competition between users, such as online auctions, where the product price is not fixed and tends to rise. Other models, including group-buying, are based on cooperation between users, characterized by a dynamic price of the product that tends to go down. There is not yet a business model in which both sellers and buyers are grouped in order to negotiate on a specific product or service. The present study investigates a new extension of the group-buying model, called fair, which allows aggregation of demand and supply for price optimization, in a cooperative manner. Additionally, our system also aggregates products and destinations for shipping optimization. We introduced the following new relevant input parameters in order to implement a double-side aggregation: (a) price-quantity curves provided by the seller; (b) waiting time, that is, the longer buyers wait, the greater discount they get; (c) payment time, which determines if the buyer pays before, during or after receiving the product; (d) the distance between the place where products are available and the place of shipment, provided in advance by the buyer or dynamically suggested by the system. To analyze the proposed model we implemented a system prototype and a simulator that allow to study effects of changing some input parameters. We analyzed the dynamic price model in fairs having one single seller and a combination of selected sellers. The results are very encouraging and motivate further investigation on this topic

A multi-agent platform for auction-based allocation of loads in transportation logistics

This paper describes an agent-based platform for the allocation of loads in distributed transportation logistics, developed as a collaboration between CWI, Dutch National Center for Mathematics and Computer Science, Amsterdam and Vos Logistics Organizing, Nijmegen, The Netherlands. The platform follows a real business scenario proposed by Vos, and it involves a set of agents bidding for transportation loads to be distributed from a central depot in the Netherlands to different locations across Germany. The platform supports both human agents (i.e. transportation planners), who can bid through specialized planning and bidding interfaces, as well as automated, software agents. We exemplify how the proposed platform can be used to test both the bidding behaviour of human logistics planners, as well as the performance of automated auction bidding strategies, developed for such settings. The paper first introduces the business problem setting and then describes the architecture and main characteristics of our auction platform. We conclude with a preliminary discussion of our experience from a human bidding experiment, involving Vos planners competing for orders both against each other and against some (simple) automated strategies

New technologies for e-commerce

Today electronic commerce (e-commerce) has changed the way of doing business, and contributes significantly to economic activity. In any case, e-commerce is not a static field but it is always evolving in order to support new and more complex real world processes. The agriculture sector is expected to undergo significant transformation as a result of new business models being adopted through ecommerce. Examples of the adoption of new technologies in agriculture are provided with a view to demonstrating the benefits that can be achieved. The first part I expound the basics of e-commerce and e-markets. After I describe potential benefits to agriculture from adoption of e-commerce. The last part I describe the ecommerce 2.0, what is a prospect evolution of e-commerce

Alternative Trading Systems and Liquidity.

A diversity of so-called Alternative Trading Systems (ATS) has challenged the existing traditional exchanges. This paper studies the impact of these ATS on the liquidity on the traditional financial markets using a market microstructure approach. In the United States ATS have been particularly successful in attracting trade in the Nasdaq dealer market, whereas they are less successful in competition with the NYSE. The theoretical reasoning behind this conjecture is that the agency nature of trading at the ATS allows investors to trade directly with each other without the intervention of a dealer. We argue that since continental European exchanges are typically organized as auction markets implying an agency nature of trading, the liquidity externality will prevent the auction-type ATS from breaking through and acquiring a significant market share in Europe. Only Crossing Networks may turn out to be more successful in realizing trades in Europe as they rely on the efficiency of price discovery on their primary market.

Functional Data Analysis in Electronic Commerce Research

This paper describes opportunities and challenges of using functional data analysis (FDA) for the exploration and analysis of data originating from electronic commerce (eCommerce). We discuss the special data structures that arise in the online environment and why FDA is a natural approach for representing and analyzing such data. The paper reviews several FDA methods and motivates their usefulness in eCommerce research by providing a glimpse into new domain insights that they allow. We argue that the wedding of eCommerce with FDA leads to innovations both in statistical methodology, due to the challenges and complications that arise in eCommerce data, and in online research, by being able to ask (and subsequently answer) new research questions that classical statistical methods are not able to address, and also by expanding on research questions beyond the ones traditionally asked in the offline environment. We describe several applications originating from online transactions which are new to the statistics literature, and point out statistical challenges accompanied by some solutions. We also discuss some promising future directions for joint research efforts between researchers in eCommerce and statistics.Comment: Published at http://dx.doi.org/10.1214/088342306000000132 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

E-Finance: An Introduction

" Franklin Allen, James McAndrews and Philip Strahan, October 2001 Abstract: E-finance is defined as "The provision of financial services and markets using electronic communication and computation". In this paper we outline research issues related to e-finance that we believe set the stage for further work in this field. Three areas are focused on. These are the use of electronic payments sys tems, the operations of financial services firms and the operation of financial markets. A number of research issues are raised. For example, is the widespread use of paper-based checks efficient? Will the financial services industry be fundamentally changed by the advent of the internet? Why have there been such large differences in changes to market microstructure across different financial markets?

TVWS policies to enable efficient spectrum sharing

The transition from analogue to the Digital Terrestrial Television (DTV) in Europe is planned to be completed by the end of the year 2012. The DTV spectrum allocation is such that there are a number of TV channels which cannot be used for additional high power broadcast transmitters due to mutual interference and hence are left unused within a given geographical location, i.e. the TV channels are geographically interleaved. The use of geographically interleaved spectrum provides for the so-called TV white spaces (TVWS) an opportunity for deploying new wireless services. The main objective of this paper is to present the spectrum policies that are suitable for TVWS at European level, identified within the COGEU project. The COGEU project aims the efficient exploitation of the geographical interleaved spectrum (TVWS). COGEU is an ICT collaborative project supported by the European Commission within the 7th Framework Programme. Nine partners from seven EU countries representing academia, research institutes and industry are involved in the project. The COGEU project is a composite of technical, business, and regulatory/policy domains, with the objective of taking advantage of the TV digital switchover by developing cognitive radio systems that leverage the favorable propagation characteristics of the UHF broadcast spectrum through the introduction and promotion of real-time secondary spectrum trading and the creation of new spectrum commons regimes. COGEU will also define new methodologies for compliance testing and certification of TVWS equipment to ensure non-interference coexistence with the DVB-T European standard. The innovation brought by COGEU is the combination of cognitive access to TV white spaces with secondary spectrum trading mechanisms.telecommunications,spectrum management,secondary spectrum market,regulation,TV white spaces,cognitive radio