Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Enforcing Consumer and Capital Markets Law: The Diesel Emissions Scandal is an international and intradisciplinary work. On the example of one topical and global collective damage event with far reaching consequences for both consumers and investors, this work critically analyses the various approaches of public and private law enforcement and their effectiveness across several jurisdictions, namely those of Austria, Denmark, France, Germany, England and Wales, Italy, Lithuania, the Netherlands, Portugal, Australia, Brazil, China and the United States of America. Based on decided and pending cases, the book demonstrates to what extent public authorities, but also private claimants, can take effective steps against the violation of their rights in their respective jurisdictions. The following is examined: law enforcement by public institutions, law enforcement by private parties and overlaps as well as hybrids and connections between both areas. A particular focus is given to collective redress, that is representative actions and model case proceedings. Comments from renowned practitioners sharing their experiences are included throughout the book. Separate concluding comparative chapters have two different aims: A comparative analysis of the legal solutions with a supranational European Union level focus provides invaluable insights into best practices and effectiveness. In addition, an intradisciplinary comparison assesses and evaluates the effectiveness of consumer law vs capital markets law mechanisms. Furthermore mechanisms of competition law and company law are taken into account. With contributions by Willem H. van Boom (University of Leiden), Peter Cashman (3 Wentworth Chambers; University of New South Wales), Tanja Domej (University of Zurich), Marcello Gaboardi (Bocconi University Milan), Beate Gsell (Ludwig-Maximilians-Universitat Munich; Munich Higher Regional Court), Jutta Gurkmann (Verbraucherzentrale Bundesverband e.V.), Patrick Honegger-Muntener (University of Zurich), Emmanuel Jeuland (University Paris 1 Pantheon-Sorbonne), Remigijus Jokubauskas (Court of Appeal of Lithuania), Georg E. Kodek (Vienna University of Economics and Business), Lene Kohl (Osborne Clarke, Berlin), Petra Leupold (VKI-Academy), Claudia Lima Marques (Federal University of Rio Grande do Sul), Caroline Meller-Hannich (Martin-Luther-University Halle-Wittenberg), Thomas M.J. Moellers (University of Augsburg), Charlotte M.D.S. Pavillon (University of Groningen), Anders Schafer (Kammeradvokaten/Poul Schmidt, Copenhagen; University of Copenhagen), Amy J. Schmitz (University of Missouri), John Sorabji (Nine St John Street Chambers; University College London), Henrique Sousa Antunes (Catholic University of Portugal), Egidija Tamosiuniene (Court of Appeal of Lithuania; University of Vilnius), Rudiger Veil (Ludwig-Maximilians-Universitat Munich), Maximilian Weiss (TILP Litigation, Kirchentellinsfurt), Tong Zhang (China University of Political Science and Law).

Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropriate points in time for trading. Within only a few years, this technology propagated itself among market participants along the entire value chain and has nowadays gained a significant market share on securities markets worldwide. Surprisingly, there has been only little research analyzing the impact of this special type of trading on markets. Markus Gsell's book aims at closing this gap by analyzing the drivers for adoption of this technology, the impact the application of this technology has on markets on a macro level, i.e. how the market outcome is affected, as well as on a micro level, i.e. how the exhibited trading behavior of these automated traders differs from normal traders' behavior.