Compliance Statement Oslo Børs
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COVID-19 Pandemic and Financial Contagion
Journal of Risk and Financial Management Article COVID-19 Pandemic and Financial Contagion Julien Chevallier 1,2 1 Department of Economics & Management, IPAG Business School (IPAG Lab), 184 bd Saint-Germain, 75006 Paris, France; [email protected] 2 Economics Department, Université Paris 8 (LED), 2 rue de la Liberté, CEDEX 93526 Saint-Denis, France Received: 15 October 2020; Accepted: 1 December 2020; Published: 3 December 2020 Abstract: The original contribution of this paper is to empirically document the contagion of the COVID-19 on financial markets. We merge databases from Johns Hopkins Coronavirus Center, Oxford-Man Institute Realized Library, NYU Volatility Lab, an d St-Louis Federal Reserve Board. We deploy three types of models throughout our experiments: (i) the Susceptible-Infective-Removed (SIR) that predicts the infections’ peak on 2020-03-27; (ii) volatility (GARCH), correlation (DCC), and risk-management (Value-at-Risk (VaR)) models that relate how bears painted Wall Street red; and, (iii) data-science trees algorithms with forward prunning, mosaic plots, and Pythagorean forests that crunch the data on confirmed, deaths, and recovered COVID-19 cases and then tie them to high-frequency data for 31 stock markets. Keywords: COVID-19; financial contagion; Johns Hopkins repository; Susceptible-Infective-Removed model; tree algorithm; data science 1. Introduction The COVID-19 pandemic hit the world economy, without anyone knowing, at light-speed, leading to partial unemployment and factories’ shutdown around the globe, leaving doctors, policymakers, businessmen, operational managers, data scientists, and citizens alike in disarray. The origin of the virus itself is not known with certainty, although most theories attach it to zoonotic transfer to the human species (Andersen et al. -
Universitetet I Bergen, Institutt for Økonomi
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by NORA - Norwegian Open Research Archives Norsk lakseoppdrett: Optimal investering med hensyn til eksogen oppdrettsformue av Torhild Østenå Larsen Masteroppgave Masteroppgaven er levert for å fullføre graden Master i samfunnsøkonomi Universitetet i Bergen, Institutt for Økonomi Desember 2014 UNIVERSITETET I BERGEN Forord Denne oppgaven markerer slutten på mine fem år som student ved Universitetet i Bergen. Arbeidet med masteroppgaven har vært en spennende, frustrerende og utfordrende prosess. Jeg vil takke min veileder Bjørn Sandvik for forslag av oppgave. Bjørn har utvist tålmodighet og kommet med gode tilbakemeldinger under fullførelsen av denne oppgaven. Dette har styrket oppgaven og min egen evne til kritisk tenkning. Jeg vil også takke mine foreldre, Thor Magne og Anne Tove, og min bror, Thor Kristian, som har bidratt med korrekturlesning og moralsk støtte når arbeidet med oppgaven har vært utfordrende. Torhild Østenå Larsen Torhild Østenå Larsen, Stavanger 1. desember 2014 ii Sammendrag Norsk lakseoppdrett: Optimal investering med hensyn til eksogen oppdrettsformue av Torhild Østenå Larsen, Masterstudie i Samfunnsøkonomi Universitetet i Bergen, 2014 Veileder: Bjørn Sandvik Mange investorer fokuserer kun på forventet avkastning tilknyttet sin disponible formue når de skal investere i usikre verdipapirer, og tar ikke hensyn til sin totalformue. Totalformue består gjerne av en disponibel investeringsformue og en fastlåst formue man beholder uavhengig risiko og forventet avkastning. Denne oppgaven viser hvordan man reduserer risikoen til totalformuen for en gitt forventet avkastning ved å ta hensyn til eksogen formue i investeringsbeslutningen. Oppgaven ser spesifikt på norsk lakseoppdrett. Man betrakter et individ med en totalformue som inkluderer usikre verdipapirinvesteringer og en oppdrettsformue. -
Evaluation of Passive Investment Strategies in Oslo Stock
Running head: EVALUATION OF PASSIVE INVESTMENT STRATEGIES IN OSLO STOCK EXCHANGE EVALUATION OF PASSIVE INVESTMENT STRATEGIES IN OSLO STOCK EXCHANGE A Thesis Presented to the Faculty of Economics programme at ISM University of Management and Economics in Partial Fulfillment of the Requirements for the Degree of Bachelor of Economics by Gytis Štarolis Advised by Lect. Tomas Krakauskas May 2015 Vilnius EVALUATION OF PASSIVE INVESTMENT STRATEGIES IN OSLO STOCK EXCHANGE 2 Abstract Štarolis, G., Evaluation of Passive Investment Strategies in Oslo Stock Exchange [Manuscript]: bachelor thesis: Economics. Vilnius, ISM University of Management and Economics, 2015. The aim of this thesis was to evaluate and compare results of traditional passive investment strategy (market capitalization weighted portfolio) and alternative passive investment strategies (Smart Beta portfolios) in Oslo Stock Exchange in 2005-2014 period. The situation analysis showed that Oslo Stock Exchange is a safe and attractive market for investors because of Norway‘s political and economic stability and strong performance of Oslo Stock Exchange in the recent decade. Also, alternative passive investment strategies were found to outperform traditional passive investment strategy in the US market in the analyzed period. Analysis revealed supporting evidence for the hypothesis that alternative Smart Beta portfolios outperform traditional market capitalization weighted portfolios. All 7 portfolios that were formed according to various Smart Beta portfolio formation rules outperformed market capitalization weighted portfolio and Oslo Stock Exchange Benchmark Index. Smart Beta strategies showed significantly higher rates of annual returns that were from 2.2pp to 22.7pp higher than the ones of market capitalization weighted portfolio. Sharpe ratios of all Smart Beta portfolios were also found to be higher than the ones of market capitalization weighted portfolio and Oslo Stock Exchange Benchmark Index. -
Financial Market Data for R/Rmetrics
Financial Market Data for R/Rmetrics Diethelm Würtz Andrew Ellis Yohan Chalabi Rmetrics Association & Finance Online R/Rmetrics eBook Series R/Rmetrics eBooks is a series of electronic books and user guides aimed at students and practitioner who use R/Rmetrics to analyze financial markets. A Discussion of Time Series Objects for R in Finance (2009) Diethelm Würtz, Yohan Chalabi, Andrew Ellis R/Rmetrics Meielisalp 2009 Proceedings of the Meielisalp Workshop 2011 Editor Diethelm Würtz Basic R for Finance (2010), Diethelm Würtz, Yohan Chalabi, Longhow Lam, Andrew Ellis Chronological Objects with Rmetrics (2010), Diethelm Würtz, Yohan Chalabi, Andrew Ellis Portfolio Optimization with R/Rmetrics (2010), Diethelm Würtz, William Chen, Yohan Chalabi, Andrew Ellis Financial Market Data for R/Rmetrics (2010) Diethelm W?rtz, Andrew Ellis, Yohan Chalabi Indian Financial Market Data for R/Rmetrics (2010) Diethelm Würtz, Mahendra Mehta, Andrew Ellis, Yohan Chalabi Asian Option Pricing with R/Rmetrics (2010) Diethelm Würtz R/Rmetrics Singapore 2010 Proceedings of the Singapore Workshop 2010 Editors Diethelm Würtz, Mahendra Mehta, David Scott, Juri Hinz R/Rmetrics Meielisalp 2011 Proceedings of the Meielisalp Summer School and Workshop 2011 Editor Diethelm Würtz III tinn-R Editor (2010) José Cláudio Faria, Philippe Grosjean, Enio Galinkin Jelihovschi and Ri- cardo Pietrobon R/Rmetrics Meielisalp 2011 Proceedings of the Meielisalp Summer Scholl and Workshop 2011 Editor Diethelm Würtz R/Rmetrics Meielisalp 2012 Proceedings of the Meielisalp Summer Scholl and Workshop 2012 Editor Diethelm Würtz Topics in Empirical Finance with R and Rmetrics (2013), Patrick Hénaff FINANCIAL MARKET DATA FOR R/RMETRICS DIETHELM WÜRTZ ANDREW ELLIS YOHAN CHALABI RMETRICS ASSOCIATION &FINANCE ONLINE Series Editors: Prof. -
Oslo Børs Mutual Fund
OSEFP Factsheet 1/4 Oslo Børs Mutual Fund Objective The Oslo Børs Mutual Fund Index is a capped version of OSEBX. The capping rules complies with the UCITS directives for regulating investments in mutual funds. The maximum weight of a security is 10% of total market value of the index, and securities exceeding 5% must not combined exceed 40%. Capping is performed quarterly with effect after the market close of the third Friday of March, June, September and December. The OSEFX index is adjusted for dividend payments. Investability Stocks are screened to ensure liquidity and selected and free float weighted to ensure that the index is investable. Transparency The index rules are available on our website. All our rulebooks can be found on the following webpage: https://live.euronext.com/en/products-indices/index-rules. Statistics Dec-20 Market Capitalization EUR Bil OSEFXPerformance (%) Fundamentals Full 1405,1 Q4 2020 -15,01% P/E Incl. Neg LTM 0,97 Free float 1405,1 YTD 7,33% P/E Incl. Neg FY1 4,00 % Oslo Bors All-share Index GI 51,5% 2019 19,20% P/E excl. Neg LTM 4,64 2018 -2,20% P/E excl. Neg FY1 4,90 Components (full) EUR Bil 2017 17,05% Price/Book 3,90 Average 3,44 Price/Sales 22,96 Median 1,00 Annualized (%) Price/Cash Flow 1,75 Largest 44,97 2 Year 13,11% Dividend Yield (%) 1,92% Smallest 0,10 3 Years 7,76% 5 Years 10,31% Risk Component Weights (%) Since Base Date 29-Dec-1995 9,61% Sharpe Ratio 1 Year not calc. -
Final Report Amending ITS on Main Indices and Recognised Exchanges
Final Report Amendment to Commission Implementing Regulation (EU) 2016/1646 11 December 2019 | ESMA70-156-1535 Table of Contents 1 Executive Summary ....................................................................................................... 4 2 Introduction .................................................................................................................... 5 3 Main indices ................................................................................................................... 6 3.1 General approach ................................................................................................... 6 3.2 Analysis ................................................................................................................... 7 3.3 Conclusions............................................................................................................. 8 4 Recognised exchanges .................................................................................................. 9 4.1 General approach ................................................................................................... 9 4.2 Conclusions............................................................................................................. 9 4.2.1 Treatment of third-country exchanges .............................................................. 9 4.2.2 Impact of Brexit ...............................................................................................10 5 Annexes ........................................................................................................................12 -
INDEX RULE BOOK Leverage, Short, and Bear Indices
INDEX RULE BOOK Leverage, Short, and Bear Indices Version 20-02 Effective from 15 May 2020 indices.euronext.com Index 1. Index Summary 1 2. Governance and Disclaimer 8 2.1 Indices 8 2.2 Administrator 8 2.3 Cases not covered in rules 8 2.4 Rule book changes 8 2.5 Liability 8 2.6 Ownership and trademarks 8 3. Calculation 9 3.1 Definition and Composition of the Index 9 3.2 Calculation of the Leverage Indices 9 3.3 Calculation of the Bear and Short Indices 9 3.4 Reverse split of index level 10 3.5 Split of index level 10 3.6 Financing Adjustment Rate (FIN) 10 4. Publication 11 4.1 Dissemination of Index Values 11 4.2 Exceptional Market Conditions and Corrections 11 4.3 Announcement Policy 14 5. ESG Disclosures 15 1. INDEX SUMMARY Factsheet Leverage, Short and Bear indices Index names Various based on AEX®, BEL 20®, CAC 40®, PSI 20® and ISEQ® Index type Indices are based on price index versions or Net return index or Gross return index versions. Administrator Euronext Paris is the Administrator and is responsible for the day-to-day management of the index. The underlying indices have independent Steering Committees acting as Independent Supervisor. Calculation Based on daily leverage. May include spread on interest rate or Financing Adjustment rate in the calculation Rule for exceptional trading Either suspend or reset if underlying index moved beyond certain threshold. See reference circumstances table. 1 Mnemo Full name Underlying Factor Rule for ISIN Base level index exceptional and date trading circumstances AEX® based AEXLV AEX® Leverage AEX® 2 Suspend if Underlying QS0011095898 1,000 at Index < 75% of close 31Dec2002 of previous day AEXNL AEX® Leverage AEX® NR 2 Suspend if Underlying QS0011216205 1,000 at NR Index < 75% of close 31Dec2002 of previous day AEXTL AEX® Leverage AEX® GR 2 Suspend if Underlying QS0011179239 1,000 at GR Index < 75% of close 31Dec2002 of previous day AEX3L AEX® NR 3 Reset if Underlying QS0011230115 10,000 at AEX® X3 Leverage Index < 85% of close 31Dec2008 NR of previous day. -
Thomson One Symbols
THOMSON ONE SYMBOLS QUICK REFERENCE CARD QUOTES FOR LISTED SECURITIES TO GET A QUOTE FOR TYPE EXAMPLE Specific Exchange Hyphen followed by exchange qualifier after the symbol IBM-N (N=NYSE) Warrant ' after the symbol IBM' When Issued 'RA after the symbol IBM'RA Class 'letter representing class IBM'A Preferred .letter representing class IBM.B Currency Rates symbol=-FX GBP=-FX QUOTES FOR ETF TO GET A QUOTE FOR TYPE Net Asset Value .NV after the ticker Indicative Value .IV after the ticker Estimated Cash Amount Per Creation Unit .EU after the ticker Shares Outstanding Value .SO after the ticker Total Cash Amount Per Creation Unit .TC after the ticker To get Net Asset Value for CEF, type XsymbolX. QRG-383 Date of issue: 15 December 2015 © 2015 Thomson Reuters. All rights reserved. Thomson Reuters disclaims any and all liability arising from the use of this document and does not guarantee that any information contained herein is accurate or complete. This document contains information proprietary to Thomson Reuters and may not be reproduced, transmitted, or distributed in whole or part without the express written permission of Thomson Reuters. THOMSON ONE SYMBOLS Quick Reference Card MAJOR INDEXES US INDEXES THE AMERICAS INDEX SYMBOL Dow Jones Industrial Average .DJIA Airline Index XAL Dow Jones Composite .COMP AMEX Computer Tech. Index XCI MSCI ACWI 892400STRD-MS AMEX Institutional Index XII MSCI World 990100STRD-MS AMEX Internet Index IIX MSCI EAFE 990300STRD-MS AMEX Oil Index XOI MSCI Emerging Markets 891800STRD-MS AMEX Pharmaceutical Index -
Effects of Carbon Pricing on EU Equity Markets
Stockholm School of Economics Master Thesis in Finance Effects of Carbon Pricing on EU Equity Markets Andrii Shekhirev* 2011.06.20 The current work examines whether the price changes of European Union Allowance (EUA) contracts for emitting carbon dioxide affect the price dynamics of the European equity markets. The author uses the Vector Autoregressive (VAR) and Vector Error Correction (VECM) models in four specifications to investigate the linkages between the EUA market and major stock indexes of 27 EU countries which are participating in the second phase of the European Emissions Trading System. The regression models, together with Granger causality testing, suggest that stock markets of several developed European countries exhibit significant negative responses to EUA price shocks. In particular, CAC 40 (France), DAX 30 (Germany), AEX (the Netherlands), and FTSE MIB (Italy) indexes have been found to react to the EUA market movements. This may serve as a hint for the growing importance of the price of carbon as an additional risk factor for businesses given that emission quotas are being consistently tightened every year. Author: Andrii Shekhirev Supervisor: Cristian Huse Discussant: Huizi Zeng Date of Presentation: June 13th, 2011 Final Thesis: June 20th, 2011 Keywords: emissions trading, carbon markets, market linkages, ETS, price shocks, vector autoregression, VAR, Granger causality *[email protected] Andrii Shekhirev Effects of Carbon Pricing on EU Equity Markets Table of Contents 1. Introduction ......................................................................................................................... -
2015 Registration Document | 02
2015 REGISTRATION DOCUMENT | 02 CONTENTS Risks 2 5 Operating and fi nancial review 75 Strategic Risks 3 5.1 Overview 76 Financial Risks 5 5.2 Material contracts and related party Operational Risks 6 Transactions 96 5.3 Legal Proceedings 98 5.4 Insurance 100 Presentation of the Group 9 1 5.5 Liquidity and Capital Resources 101 1.1 Company Profi le 10 5.6 Tangible Fixed Assets 102 1.2 Strategy 12 1.3 Description of the Business 13 Financial Statements 103 1.4 Regulation 25 6 6.1 Consolidated Income Statement 104 6.2 Consolidated Statement Corporate Governance 29 2 of Comprehensive Income 105 2.1 Corporate Governance 30 6.3 Consolidated Balance Sheet 106 2.2 Management & Control Structure 32 6.4 Consolidated Statement of Cash Flows 107 2.3 Report of the Supervisory Board 43 6.5 Consolidated Statement of Changes 2.4 Remuneration report 45 in Parent’s Net Investment 2.5 Corporate Social Responsibility 50 and Shareholders’ Equity 108 6.6 Notes to the Consolidated Financial Statements 110 3 Selected historical combined fi nancial 6.7 Euronext N.V. Company Financial Statements information and other fi nancial for the year ended 31 December 2015 151 information 57 6.8 Notes to Euronext N.V. Financial Statements 153 6.9 Other information 167 4 General description of the Company and its share capital 61 Glossary 169 4.1 Legal Information on the Company 62 G 4.2 Share Capital 62 4.3 Shareholder structure 64 4.4 Share Classes and Major Shareholders 64 4.5 General Meeting of Shareholders and Voting Rights 69 4.6 Anti-Takeover Provisions 70 4.7 Obligations of Shareholders and Members of the Managing Board to Disclose Holdings 70 4.8 Short Positions 71 4.9 Market Abuse Regime 72 4.10 Transparency Directive 72 4.11 Dutch Financial Reporting Supervision Act 73 4.12 Dividends and Other Distributions 73 4.13 Financial Calendar 74 - 2015 Registration document 2015 Registration Document including the Annual Financial Report Euronext N.V. -
Market Coverage Spans All North American Exchanges As Well As Major International Exchanges, and We Are Continually Adding to Our Coverage
QuoteMedia Data Coverage 1 03 Equities 04 International Equities 05 Options 05 Futures and Commodities 06-07 Market Indices 08 Mutual Funds, ETFs and UITs 09 FOREX / Currencies 10 Rates Data 11 Historical Data 12 Charting Analytics 13 News Sources 14 News Categories 15 Filings 16-17 Company Financials Data 18 Analyst Coverage and Earnings Estimates 18 Insider Data 19 Corporate Actions and Earnings 19 Market Movers 20 Company Profile, Share Information and Key Ratios 21 Initial Public Offerings (IPOs) 22 Contact Information 2 Equities QuoteMedia’s market coverage spans all North American exchanges as well as major international exchanges, and we are continually adding to our coverage. The following is a short list of available exchanges. North American New York Stock Exchange (NYSE) Canadian Consolidated Quotes (CCQ) • Level 1 • TSX Consolidated Level 1 • TSXV Consolidated Level 1 NYSE American (AMEX) Toronto Stock Exchange (TSX) Level 1 • Level 1 • Market by Price • Market By Order Nasdaq • Market By Broker • Level 1 • Level 2 Canadian Venture Exchange (TSXV) • Total View with Open View • Level 1 • Market by Price Nasdaq Basic+ • Market By Order • Level 1 • Market By Broker OTC Bulletin Board (OTCBB) Canadian Securities Exchange (CNSX) • Level 1 • Level 1 • Level 2 • Level 2 OTC Markets (Pinks) Canadian Alternative Trading Systems • Level 1 • Alpha Level 1 and Level 2 • Level 2 • CSE PURE Level 1 and Level 2 Cboe One • Nasdaq Canada Level 1 and Level 2 • Nasdaq CX2 Level 1 and Level 2 Cboe EDGX • Omega Canada Level 1 and Level 2 • LYNX Level 1 and Level 2 London Stock Exchange (LSE) • NEO and LIT • Level 1 • Instinet Canada (dark pool) • Level 2 • LiquidNet Canada (dark pool) • TriAct MatchNow (dark pool) 3 Equities Cont. -
Confirmation of Broad Compliance to IOSCO Principles for Financial Benchmarks
Confirmation of Broad Compliance to IOSCO Principles for Financial Benchmarks Euronext N.V. (“Euronext”) as a provider of indices and benchmarks confirms its broad compliance with the principles as an administrator within IOSCO’s final report on Principles for Financial Benchmarks published on July 17th 2013. Euronext Indices compliance programme focuses on the commitment to transparency, controls, governance and management of conflicts of interest. While Euronext meets the goals of broad compliance at the group level, it expects to strengthen its procedures and processes to ensure full compliance of all applicable principles by year end for the index administration group (“Euronext Indices”) as a standalone business unit within Euronext. All of Euronext indices are covered by this confirmation including the CAC 40®, AEX- Index®, BEL 20® and PSI 20®. As an index provider and calculation agent Euronext provides over 1000 indices or indicative values for the trading and tracking of index based products. Its indices are derived from stock prices from regulated exchanges. About Euronext Euronext is the primary exchange in the Euro zone with over 1 300 issuers worth €2.6 trillion in market capitalization, an unmatched blue chip franchise consisting of 20+ issuers in the EURO STOXX 50® benchmark and a strong diverse domestic and international client base. Euronext operates regulated and transparent cash and derivatives markets. Its total product offering includes Equities, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. Euronext also leverages its expertise of running markets by providing technology and managed services to third parties. Euronext operates regulated markets, Alternext and the Free Market: in addition it offers EnterNext, which facilitates SMEs’ access to capital markets.