Directory of Mifid Ii Electronic Trading Venues 2018 Connect
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The University of Chicago Transaction and Message
THE UNIVERSITY OF CHICAGO TRANSACTION AND MESSAGE: FROM DATABASE TO MARKETPLACE, 1970-2000 A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE SOCIAL SCIENCES IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF SOCIOLOGY BY MICHAEL C. CASTELLE CHICAGO, ILLINOIS DECEMBER 2017 TABLE OF CONTENTS List of Figures iii List of Tables v List of Abbreviations vi Acknowledgements ix Abstract xi Chapter 1. Theoretical Foundations for Social Studies of Computing 1 Chapter 2. Computing in Organizations: Electronic Data Processing 32 and the Relational Model Chapter 3. The Transaction Abstraction: From the Paperwork Crisis 69 to Black Monday Chapter 4. Brokers, Queues, and Flows: Techniques of 127 Financialization and Consolidation Chapter 5. Where Do Electronic Markets Come From? 186 Chapter 6. The Platform as Exchange 219 References 240 ii LIST OF FIGURES Figure 1. Peirce’s sign-systems. 22 Figure 2. Date and Codd’s diagrammatic comparison of the logical 51 views of a relational database and of a network database Figure 3. Date’s depiction of the Codasyl DBTG network model. 53 Figure 4. From “Generalization: Key to Successful Electronic Data 57 Processing”. Figure 5. A B-tree index for a relation using an integer primary key, 58 as used in the System R relational database. Figure 6. Diagram depicting the dynamic re-balancing of a B-tree upon 59 inserting the value ’9’ into a full leaf. Figure 7. Charles T. Davies’ early transaction abstraction. 66 Figure 8. Jim Gray’s transactions. 66 Figure 9. New York Stock Exchange trading volume, 1970-2005. 68 Figure 10. -
CHAPTER 1 Role Within a Functioning Financial Market
by issuing equities and bonds all play some CHAPTER 1 role within a functioning financial market. By understanding the main types of financial securities traded between participants and how they are issued to raise capital, we can build a picture of how an efficient market FINANCIAL serves both capital raising bodies and investors by offering trading venues with MARKETS AND liquidity and price transparency. The parties all exist in a market governed INSTITUTIONS by regulations such as the UK listing rules, legal considerations such as the principal–agent relationship (together with shareholder protection offered by the Companies Introduction to financial markets 2 Act 2006 and effective The role of securities markets in providing liquidity corporate governance) and and price transparency 7 administrative processes such Types of financial markets 17 as clearing and settlement. Settlement procedures in the UK 26 Financial markets are The UK listing authority and prospectus requirements 28 constantly evolving and it is Information disclosure and corporate governance not only necessary to requirements for UK equity markets 33 understand how established International markets 41 trading venues such as the The principal–agent problem: separation of ownership London Stock Exchange and control 45 operate, but also to examine the role of alternative trading venues such as dark pools. Banks, insurance companies, pension funds, savers and other participants in the UK This chapter gives a broad introduction to financial services industry all play their own the functions served by financial markets and part in allocating capital within the UK and the a detailed discussion of key market rules, global economy. -
Securities Market Atss Concepts, Their Roles and Related Policy Issues
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Korhonen, Kari Working Paper Securities market ATSs concepts, their roles and related policy issues Bank of Finland Discussion Papers, No. 24/2001 Provided in Cooperation with: Bank of Finland, Helsinki Suggested Citation: Korhonen, Kari (2001) : Securities market ATSs concepts, their roles and related policy issues, Bank of Finland Discussion Papers, No. 24/2001, ISBN 951-686-755-3, Bank of Finland, Helsinki, http://nbn-resolving.de/urn:NBN:fi:bof-20140807583 This Version is available at: http://hdl.handle.net/10419/211902 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort -
On Decentralizing Prediction Markets and Order Books
On Decentralizing Prediction Markets and Order Books Jeremy Clark1, Joseph Bonneau2, Edward W. Felten2, Joshua A. Kroll2, Andrew Miller3, and Arvind Narayanan2 1 Concordia University 2 Princeton University 3 University of Maryland Abstract. We propose techniques for decentralizing prediction markets and order books, utilizing Bitcoin's security model and consensus mechanism. Decentralization of prediction markets offers several key advantages over a centralized market: no single entity governs over the market, all transactions are transparent in the block chain, and anybody can participate pseudonymously to either open a new market or place bets in an existing one. We provide trust agility: each market has its own specified arbiter and users can choose to interact in markets that rely on the arbiters they trust. We also provide a transparent, decentralized order book that enables order execution on the block chain in the presence of potentially malicious miners. 1 Introductory Remarks Bitcoin has demonstrated that achieving consensus in a decentralized network is practical. This has stim- ulated research on applying Bitcoin-esque consensus mechanisms to new applications (e.g., DNS through Namecoin,4 timestamping through CommitCoin [10], and smart contracts through Ethereum5). In this pa- per, we consider application of Bitcoin's principles to prediction markets. A prediction market (PM) enables forecasts about uncertain future events to be forged into financial instruments that can be traded (bought, sold, shorted, etc.) until the uncertainty of the event is resolved. In several common forecasting scenarios, PMs have demonstrated lower error than polls, expert opinions, and statistical inference [2]. Thus an open and transparent PM not only serves its traders, it serves any stakeholder in the outcome by providing useful forecasting information through prices. -
Principles for the Oversight of Screen-Based Trading Systems for Derivative Products – Review and Additions
Principles for the Oversight of Screen-Based Trading Systems for Derivative Products – Review and Additions Report of the Technical Committee of the International Organization of Securities Commissions October 2000 I. Executive Summary This Report reaffirms the continuing appropriateness of the ten Principles for the Oversight of Screen-Based Trading Systems for Derivative Products approved by the IOSCO Technical Committee in November 1990 (‘the 1990 Principles’)1. It also adds four additional principles for the supervision of exchange-operated, screen-based trading systems for derivatives that operate with ‘direct access’2 participants from multiple jurisdictions (‘cross-border markets’). To promote the effective and efficient control of risks to investors, market integrity and financial stability that may arise from the operation of exchange-operated, screen-based trading systems for derivative products that operate with direct access participants from multiple jurisdictions (‘cross-border markets’), regulatory authorities should take into account the following additional principles. 1. Regulatory authorities with responsibilities arising from the operation of cross-border markets for derivative products (‘relevant regulatory authorities’3) should develop cooperative arrangements and coordinate supervisory responsibilities, consistent with each authority’s responsibilities and in a manner that promotes regulatory effectiveness and avoids the imposition of unnecessary regulatory costs. 2. Each regulatory authority with responsibilities related to a cross-border market for derivatives (whether in respect of the market operator4 or the market participants) should be prepared to share relevant information in an efficient and timely manner. In developing cooperative arrangements, regulators should attempt to identify in advance the information needed, the sources of that information, the manner in which the information can be obtained and the channels through which it can be shared. -
MIC) Mics List by Country
ISO 10383 Market Identifier Code (MIC) MICs List by Country COUNTRY ISO COUNTRY CODE (ISO 3166) MIC OPERATING MIC O/S NAME-INSTITUTION DESCRIPTION ACRONYM CITY WEBSITE STATUS DATE STATUS CREATION DATE COMMENTS ALBANIA AL XALS XALS O ALBANIA SECURITIES EXCHANGE ALSE TIRANA WWW.ALSE.AL APRIL 2019 ACTIVE APRIL 2019 ALL CLASSES OF SECURITIES. ALBANIA AL XTIR XTIR O TIRANA STOCK EXCHANGE TIRANA JUNE 2005 ACTIVE JUNE 2005 ALGERIA DZ XALG XALG O ALGIERS STOCK EXCHANGE ALGIERS JUNE 2005 ACTIVE JUNE 2005 ANGOLA AO XBDV XBDV O BOLSA DE DIVIDA E VALORES DE ANGOLA (BODIVA) - ANGOLA SECURITIES EXCHANGE BODIVA LUANDA WWW.BODIVA.AO APRIL 2017 ACTIVE APRIL 2017 REGULATED MARKETS FOR SECURITIES TRADING. ARGENTINA AR BACE BACE O BOLSA DE CEREALES DE BUENOS AIRES BUENOS AIRES WWW.BOLCEREALES.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 COMMODITY EXCHANGE. ARGENTINA AR BCFS BCFS O BOLSA DE COMERCIO DE SANTA FE SANTA FE WWW.BCSF.COM.AR NOVEMBER 2007 ACTIVE NOVEMBER 2007 ARGENTINA AR MVCX XBCC S MERCADO DE VALORES DE CORDOBA S.A. CORDOBA WWW.MERVALCORDOBA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR ROFX ROFX O ROSARIO FUTURE EXCHANGE ROFEX ROSARIO WWW.ROFEX.COM.AR OCTOBER 2009 ACTIVE OCTOBER 2009 REGISTERED MARKET FOR FUTURES AND OPTIONS. ARGENTINA AR XBCC XBCC O BOLSA DE COMERCIO DE CORDOBA CORDOBA WWW.BOLSACBA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR XBCM XBCM O BOLSA DE COMERCIO DE MENDOZA S.A. MENDOZA WWW.BOLSAMZA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR XBCX XBCM S MERCADO DE VALORES DE MENDOZA S.A. -
ISO 10383 Market Identifier Code (MIC) Mics List by Country
ISO 10383 Market Identifier Code (MIC) MICs List by Country COUNTRY ISO COUNTRY CODE (ISO 3166) MIC OPERATING MIC O/S NAME-INSTITUTION DESCRIPTION ACRONYM CITY WEBSITE STATUS DATE STATUS CREATION DATE COMMENTS ALBANIA AL XALS XALS O ALBANIA SECURITIES EXCHANGE ALSE TIRANA WWW.ALSE.AL APRIL 2019 ACTIVE APRIL 2019 ALL CLASSES OF SECURITIES. ALBANIA AL XTIR XTIR O TIRANA STOCK EXCHANGE TIRANA JUNE 2005 ACTIVE JUNE 2005 ALGERIA DZ XALG XALG O ALGIERS STOCK EXCHANGE ALGIERS JUNE 2005 ACTIVE JUNE 2005 ANGOLA AO XBDV XBDV O BOLSA DE DIVIDA E VALORES DE ANGOLA (BODIVA) - ANGOLA SECURITIES EXCHANGE BODIVA LUANDA WWW.BODIVA.AO APRIL 2017 ACTIVE APRIL 2017 REGULATED MARKETS FOR SECURITIES TRADING. ARGENTINA AR BACE BACE O BOLSA DE CEREALES DE BUENOS AIRES BUENOS AIRES WWW.BOLCEREALES.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 COMMODITY EXCHANGE. ARGENTINA AR BCFS BCFS O BOLSA DE COMERCIO DE SANTA FE SANTA FE WWW.BCSF.COM.AR NOVEMBER 2007 ACTIVE NOVEMBER 2007 ARGENTINA AR MVCX XBCC S MERCADO DE VALORES DE CORDOBA S.A. CORDOBA WWW.MERVALCORDOBA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR ROFX ROFX O ROSARIO FUTURE EXCHANGE ROFEX ROSARIO WWW.ROFEX.COM.AR OCTOBER 2009 ACTIVE OCTOBER 2009 REGISTERED MARKET FOR FUTURES AND OPTIONS. ARGENTINA AR XBCC XBCC O BOLSA DE COMERCIO DE CORDOBA CORDOBA WWW.BOLSACBA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR XBCM XBCM O BOLSA DE COMERCIO DE MENDOZA S.A. MENDOZA WWW.BOLSAMZA.COM.AR JANUARY 2011 ACTIVE JANUARY 2011 ARGENTINA AR XBCX XBCM S MERCADO DE VALORES DE MENDOZA S.A. -
On Decentralizing Prediction Markets and Order Books
On Decentralizing Prediction Markets and Order Books Jeremy Clark1, Joseph Bonneau2, Edward W. Felten2, Joshua A. Kroll2, Andrew Miller3, and Arvind Narayanan2 1 Concordia University 2 Princeton University 3 University of Maryland Abstract. We propose techniques for decentralizing prediction markets and order books, utilizing Bitcoin's security model and consensus mechanism. Decentralization of prediction markets offers several key advantages over a centralized market: no single entity governs over the market, all transactions are transparent in the block chain, and anybody can participate pseudonymously to either open a new market or place bets in an existing one. We provide trust agility: each market has its own specified arbiter and users can choose to interact in markets that rely on the arbiters they trust. We also provide a transparent, decentralized order book that enables order execution on the block chain in the presence of potentially malicious miners. 1 Introductory Remarks Bitcoin has demonstrated that achieving consensus in a decentralized network is practical. This has stim- ulated research on applying Bitcoin-esque consensus mechanisms to new applications (e.g., DNS through Namecoin,4 timestamping through CommitCoin [10], and smart contracts through Etherem5). In this paper, we consider application of Bitcoin's principles to prediction markets. A prediction market (PM) enables forecasts about uncertain future events to be forged into financial instruments that can be traded (bought, sold, shorted, etc.) until the uncertainty of the event is resolved. In several common forecasting scenarios, PMs have demonstrated lower error than polls, expert opinions, and statistical inference [2]. Thus an open and transparent PM not only serves its traders, it serves any stakeholder in the outcome by providing useful forecasting information through prices.