Efficient Market Hypothesis and Calendar Effects: Evidence from the Oslo Stock Exchange
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Testing the Significance of Calendar Effects
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Hansen, Peter Reinhard; Lunde, Asger; Nason, James M. Working Paper Testing the significance of calendar effects Working Paper, No. 2005-02 Provided in Cooperation with: Federal Reserve Bank of Atlanta Suggested Citation: Hansen, Peter Reinhard; Lunde, Asger; Nason, James M. (2005) : Testing the significance of calendar effects, Working Paper, No. 2005-02, Federal Reserve Bank of Atlanta, Atlanta, GA This Version is available at: http://hdl.handle.net/10419/100920 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 Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. www.econstor.eu ATLANTA Testing the Significance of Calendar Effects f o Peter Reinhard Hansen, Asger Lunde, and James M. Nason Working Paper 2005-2 January 2005 FEDERAL RESERVE BANK WORKING PAPER SERIES FEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Testing the Significance of Calendar Effects Peter Reinhard Hansen, Asger Lunde, and James M. -
Do Crude Oil Prices Drive the Relationship Between Stock Markets of Oil-Importing and Oil-Exporting Countries?
economies Article Do Crude Oil Prices Drive the Relationship between Stock Markets of Oil-Importing and Oil-Exporting Countries? Manel Youssef 1 and Khaled Mokni 1,2,* 1 Department of Statistics and Quantitative methods, College of Business Administration, Northern Border University, Arar 91431, P.O. Box 1321, Kingdom of Saudi Arabia 2 Department of Quantitative methods, Institut Supérieur de Gestion de Gabès, University of Gabès, Street Jilani Habib, Gabès 6002, Tunisia * Correspondence: [email protected] or [email protected]; Tel.: +966-553-981-566 Received: 12 March 2019; Accepted: 13 May 2019; Published: 10 July 2019 Abstract: The impact that oil market shocks have on stock markets of oil-related economies has several implications for both domestic and foreign investors. Thus, we investigate the role of the oil market in deriving the dynamic linkage between stock markets of oil-exporting and oil-importing countries. We employed a DCC-FIGARCH model to assess the dynamic relationship between these markets over the period between 2000 and 2018. Our findings report the following regularities: First, the oil-stock markets’ relationship and that between oil-importing and oil-exporting countries’ stock markets themselves is time-varying. Moreover, we note that the response of stock market returns to oil price changes in oil-importing countries changes is more pronounced than for oil-exporting countries during periods of turmoil. Second, the oil-stock dynamic correlations tend to change as a result of the origin of oil prices shocks stemming from the period of global turmoil or changes in the global business cycle. Third, oil prices significantly drive the relationship between oil-importing and oil-exporting countries’ stock markets in both high and low oil-stock correlation regimes. -
Trading Fee Guide for Derivatives Market Members Issue Date: 12 July 2021
EURONEXT DERIVATIVES MARKETS TRADING FEE GUIDE FOR DERIVATIVES MARKET MEMBERS ISSUE DATE: 12 JULY 2021 EFFECTIVE DATE: 01 AUGUST 2021 INTERNAL USE ONLY TRADING FEE GUIDE FOR EURONEXT DERIVATIVES MARKET MEMBERS CONTENTS 1. INTRODUCTION ............................................................................................................................ 3 1.1 Standard Fees and Charges .................................................................................................................... 3 1.2 Clearing Fees and Charges ..................................................................................................................... 3 1.3 Wholesale trade facility ......................................................................................................................... 3 1.4 Maximum fee ......................................................................................................................................... 3 2. COMMODITY AND CURRENCY DERIVATIVES .................................................................................. 4 2.1 Commodity Futures and Options Contracts .......................................................................................... 4 2.2 Ceres incentive programme on Paris Commodity Contracts ................................................................. 5 2.3 Commodity Option strategy fee ............................................................................................................ 5 2.4 Artemis liquidity provider fee rebate.................................................................................................... -
Adaptive Estimation of Daily Demands with Complex Calendar Effects For
Transportation Research Part B 34 (2000) 451±469 www.elsevier.com/locate/trb Adaptive estimation of daily demands with complex calendar eects for freight transportation Gregory A. Godfrey *, Warren B. Powell Department of Financial Engineering and Operations Research, School of Engineering/Appl. Science, Princeton University, Princeton, NJ 08544, USA Received 4 September 1997; received in revised form 7 May 1999; accepted 18 May 1999 Abstract We address the problem of forecasting spatial activities on a daily basis that are subject to the types of multiple, complex calendar eects that arise in many applications. Our problem is motivated by applica- tions where we generally need to produce thousands, and frequently tens of thousands, of models, as arises in the prediction of daily origin±destination freight ¯ows. Exponential smoothing-based models are the simplest to implement, but standard methods can handle only simple seasonal patterns. We propose a class of exponential smoothing-based methods that handle multiple calendar eects. These methods are much easier to implement and apply than more sophisticated ARIMA-based methods. We show that our tech- niques actually outperform ARIMA-based methods in terms of forecast error, indicating that our sim- plicity does not involve any loss in accuracy. Ó 2000 Elsevier Science Ltd. All rights reserved. Keywords: Forecasting; Time series; Freight demand; Exponential smoothing 1. Introduction We address the problem of forecasting daily demands that arise in large freight transportation applications at a fairly high level of detail. Our most speci®c issue is the need for daily forecasts of freight demand, generally extended for one or two weeks into the future. -
Adjusting for a Calendar Effect in Employment Time Series
ADJUSTING FOR A CALENDAR EFFECT IN EMPLOYMENT TIME SERIES Stephanie Cano, Patricia Getz, Jurgen Kropf, Stuart Scott and George Stamas, Bureau of Labor Statistics George Stamas, BLS, 2 Massachusetts Ave. NE, Room 4985, Washington, DC 20212 Key Words: Regression, Seasonal Adjustment gain for the current month often exceeded the expectation, thus exaggerating the strength of job growth. In the second case, again for a month in 1. INTRODUCTION which seasonal growth typically occurs, the seasonal expectation was too high and the resultant employment The Current Employment Statistics (CES) program series risked presenting a weaker employment picture is a survey of nearly 400,000 business establishments than genuinely existed. A recent example of this latter nationwide, which provides monthly estimates of situation occurred with April 1995: There were 4 nonfarm payroll jobs and the hours and earnings of weeks between the March and April surveys in 1995, workers. The month-to-month movements in these while each of the three preceding years had 5-week series are closely followed by policy makers and intervals. When the April 1995 survey registered a forecasters as timely indicators of the overall strength very weak employment gain, concerns were raised as to and direction of the nation's economy. Over-the-month whether this calendar effect had significantly changes in CES series are nearly always analyzed on a dampened the published over-the-month change. seasonally adjusted basis, but historically a calendar- Recent availability of X-12-ARIMA seasonal related limitation in the CES seasonal adjustment adjustment software developed by the Bureau of the process complicated the interpretation of month-to- Census enabled the Bureau of Labor Statistics (BLS) to month movements in the series. -
Calendar Anomalies: an Empirical Study on the Day of the Week Effect in Indian Banking Sector
International Journal of Business and Management Invention ISSN (Online): 2319 – 8028, ISSN (Print): 2319 – 801X www.ijbmi.org || Volume 6 Issue 7 || July. 2017 || PP—49-59 Calendar Anomalies: an empirical study on the Day of the Week Effect in Indian Banking Sector Harman Arora1, Dr.Parminder Bajaj 2 1Student-CFA Institute 2Associate Professor, JIMS, Rohini (Sec-5) Abstract: Calendar Anomalies have long been part of market folklore. ‘Studies of the day-of-the-week, holiday and January effects first began to appear in the 1930. And although academics have only recently begun seriously to examine these return patterns, they have found them to withstand close scrutiny. Calendar regularities generally occur at cusps in time—the turn of the year, the month, the week, the day. They often have significant economic impact. For instance, the "Blue 12 Monday” effect was so strong during the Great Depression that the entire market crash took place over weekends, from Saturday's close to Monday's close. The stock market actually rose on average every other day of the week. Calendar anomalies are often related to other return effects. For instance, some calendar anomalies are more potent for small than for large capitalization stocks. While analysis of cross-sectional effects requires fundamental databases—a relatively recent innovation—the study of calendar anomalies requires only time-dated records of market indexes. Hence calendar anomalies can be tracked historically for much longer periods than effects requiring fundamental data. The availability of a century of data brings enormous statistical power for testing calendar effects, but it also increases the likelihood of data-mining. -
OBX Index Is a Tradable Index with Exchange Traded Futures and Options Available
OBXP Factsheet 1/3 OBX® Objective The OBX® Index consists of the 25 most traded securities on Oslo Børs, based on six months turnover rating. OBX is a semi-annually revised free float adjusted total return index (dividend adjusted) with composition changes and capping implemented after the market close of the third Friday of March and September. The index is capped to comply with UCITS III, and the total weighting of non- EEA companies is limited to a maximum of 10%. In the period between the composition review dates the number of shares for each constituent is fixed, with the exception of special capping and continuous adjustments for various corporate actions. The OBX Index is a tradable index with exchange traded futures and options available. The index serves as an underlying for structured products, funds, exchange traded funds and futures. 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 Mar-21 Market Capitalization EUR Bil OBXPerformance (%) Fundamentals Full 225,9 Q1 2021 9,62% P/E Incl. Neg LTM 2,45 Free float 122,3 YTD 9,62% P/E Incl. Neg FY1 1,91 % Oslo Bors All-share Index GI 7,5% 2020 1,84% P/E excl. Neg LTM 3,16 2019 14,06% P/E excl. Neg FY1 2,19 Components (full) EUR Bil 2018 -0,46% Price/Book 3,48 Average 9,04 Price/Sales 5,04 Median 4,85 Annualized (%) Price/Cash Flow - Largest 54,32 2 Year 8,94% Dividend Yield (%) 2,65% Smallest 0,71 3 Years 8,55% 5 Years 12,74% Risk Component Weights (%) Since Base Date 02-Jan-1987 -0,18% Sharpe Ratio 1 Year not calc. -
Performance of Option Trading Strategies Evidence for Individual Stocks and the OBX During 2005- 2015
Daniel Sand and Markus Borchgrevink-Persen ________________________________ Performance of Option Trading Strategies Evidence for Individual Stocks and the OBX During 2005- 2015 Masteroppgave i økonomi og administrasjon Handelshøyskolen ved HiOA 2017 1 ABSTRACT In this paper, we examine risk and return characteristics of some of the more popular option trading strategies such as: Covered calls, Covered combinations, Protective puts, Straddles, Strangles and Butterfly spreads. Long stocks are included as a benchmark. We contribute to a growing part of the literature that examines in detail risk and return characteristics of well- known trading strategies; see Eckbo and Ødegård (2015). We also contribute to Hemler and Miller (2015) by investigating a different market and a different time period. Our sample includes the largest stocks on the OSE together with the corresponding options. As implied volatility has been highlighted in prior literature as an important aspect of trading options, we have included this as a signal for a trading rule used for the last 3 of the said strategies. The results are presented in terms of risk-adjusted performance measures, namely: Sharpe ratio, Jensen’s alpha and Information ratio. We find that the Covered call is the only strategy the generally outperform the long stock strategy, which in turn outperform the rest of the 5 strategies, and that implied volatility fails to signal the strategies into outperforming the others. SAMMENDRAG Denne oppgaven evaluerer prestasjonen til noen av de mer populære opsjonsstrategiene ved hjelp av risikojustert avkastning. Nærmere bestemt - Covered calls, Covered combinations, Protective puts, Straddles, Strangles og Butterfly spreads. “Kjøp og hold” av aksjer er inkludert som en referanseportefølje. -
WORKING PAPER 168/2018 Calendar Anomaly and the Degree
MSE Working Papers Recent Issues WORKING PAPER 168/2018 * Working Paper 159/2017 Export Performance, Innovation, And Productivity In Indian Manufacturing Firms Santosh K. Sahu, Sunder Ramaswamy and Abishek Choutagunta * Working Paper 160/2017 An Alternative Argument of Green Solow Model in Developing Economy Context Santosh K. Sahu and Arjun Shatrunjay Calendar Anomaly and the Degree of * Working Paper 161/2017 Market Inefficiency of Bitcoin Technical Efficiency of Agricultural Production in India: Evidence from REDS Survey Santosh K. Sahu and Arjun Shatrunjay * Working Paper 162/2017 Does Weather Sensitivity of Rice Yield Vary Across Regions? Evidence from Eastern and Southern India Anubhab Pattanayak and K. S. Kavi Kumar * Working Paper 163/2017 Cost of Land Degradation in India S. Raja Sethu Durai P. Dayakar Sunil Paul * Working Paper 164/2017 Microfinance and Women Empowerment- Empirical Evidence from the Indian States Saravanan and Devi Prasad DASH * Working Paper 165/2017 Financial Inclusion, Information and Communication Technology Diffusion and Economic Growth: A Panel Data Analysis Amrita Chatterjee and Nitigya Anand * Working Paper 166/2017 Task Force on Improving Employment Data - A Critique T.N. Srinivasan * Working Paper 167/2017 Predictors of Age-Specific Childhood Mortality in India G. Naline, Brinda Viswanathan MADRAS SCHOOL OF ECONOMICS * Working papers are downloadable from MSE website http://www.mse.ac.in Gandhi Mandapam Road $ Restricted circulation Chennai 600 025 India April 2018 Calendar Anomaly and the Degree of Market Inefficiency of Bitcoin S. Raja Sethu Durai Associate Professor School of Economics, University of Hyderabad, Hyderabad-500046, India [email protected] and Sunil Paul Assistant Professor, Madras School of Economics [email protected] i WORKING PAPER 168/2018 MADRAS SCHOOL OF ECONOMICS Gandhi Mandapam Road Chennai 600 025 India April 2018 Phone: 2230 0304/2230 0307/2235 2157 Fax : 2235 4847/2235 2155 Email : [email protected] Price : Rs. -
Calendar Effects in the Portuguese Mutual Funds Market
Calendar Effects In The Portuguese Mutual Funds Market Márcio Daniel Pereira Barros [email protected] Dissertation Master in Finance Supervisor: Prof. Doutor Júlio Fernando Seara Sequeira da Mota Lobão September 2015 BIOGRAPHIC NOTE Márcio Daniel Pereira Barros, born on the 20th of December 1992, in Valença, Viana do Castelo. In 2010, he enrolled in a Bachelor in Economics in FEP – School of Economics and Management, from which he graduated in 2013. During the same year, he entered in the Master in Finance in the same institution, having concluded the curricular year with an average grade of 15. In the course of his academic years, Márcio was also member and part of the Executive Board of AIESEC in FEP. In 2015, Márcio joined IBM International Services Centre, in Slovakia, where he currently has the position of Financial Analyst. i ACKNOWLEDGEMENTS Firstly and most importantly, I want to thank Professor Julio Lobão, for his support since the beginning; this work would not be possible without him. I am deeply grateful for his patience, guidance, share of knowledge and constructive feedback. I also thank all my family for their total support and concern, especially from my parents. Last but not least, I would like to highlight all the motivation and help provided by my closest friends, who directly or indirectly have contributed to the accomplishment of this goal. ii ABSTRACT: There is a wide range of studies regarding the calendar effects, however very few of those studies are applied to the mutual funds’ performance. This study aims to search the existence of calendar effects (also known as calendar anomalies) in the Portuguese Mutual Funds Market. -
Calendar Effects: Empirical Evidence from the Vietnam Stock Markets
International Journal of Advanced and Applied Sciences, 7(12) 2020, Pages: 48-55 Contents lists available at Science-Gate International Journal of Advanced and Applied Sciences Journal homepage: http://www.science-gate.com/IJAAS.html Calendar effects: Empirical evidence from the Vietnam stock markets Bui Huy Nhuong 1, Pham Dan Khanh 2, *, Pham Thanh Dat 3 1Personnel Department, National Economics University, Hanoi, Vietnam 2School of Advanced Education Program, National Economics University, Hanoi, Vietnam 3School of Banking and Finance, National Economics University, Hanoi, Vietnam ARTICLE INFO ABSTRACT Article history: The Efficient Market Hypothesis (EMH) deals with informational efficiency Received 7 May 2020 and strongly based on the idea that the stock market prices or returns are Received in revised form unpredictable and do not follows any regular pattern, so it is impossible to 21 July 2020 “beat the market.” According to the EMH theory, security prices immediately Accepted 29 July 2020 and fully reflect all available relevant information. EMH also establishes a foundation of modern investment theory that essentially advocates the Keywords: futility of information in the generation of abnormal returns in capital Calendar effects markets over a period. However, the existence of anomalies challenges the EMH notion of efficiency in stock markets. Calendar effects break the weak form of Dummy variable regression efficiency, highlighting the role of past patterns and seasonality in estimating Day-of-the-week effect future prices. The present research aims to study the efficiency in Vietnam Month-of-the-year effect stock markets. Using daily and monthly returns of VnIndex data from its inception in March 2002 to December 2018, we employ dummy variable multiple linear regression techniques to assess the existence of calendar effects in Vietnam stock markets. -
CURRENT CONTENTS BULLETIN State Bank of Pakistan, Library VOLUME NO: 09 ISSUE NO: 02
CURRENT CONTENTS BULLETIN State Bank of Pakistan, Library VOLUME NO: 09 ISSUE NO: 02 February 2019 CONTENTS Foreign Journals/Magazines American Economic Journal Applied Economics------------------------------ Print + Online 1 American Economic Journal Macroeconomic--------------------------------- Print + Online 2 American Economic Review ------------------------------------------------------- Print + Online 3 American Statistician---------------------------------------------------------------- Print + Online 4 Asian Banker Journal---------------------------------------------------------------- Print + Online 5 Cambridge Journal of Economics------------------------------------------------- Print Only 6 Canadian Journal of Economics--------------------------------------------------- Print + Online 7 Cyber Security A Peer - Reviewed Journal------------------------------------- Print Only 8 Developing Economies-------------------------------------------------------------- Print + Online 9 Economic and Political Weekly---------------------------------------------------- Print Only 10 European Journal of Management and Business Economics-------------- Online Only 11 Human Resource Development International--------------------------------- Online Only 12 I.M.F Finance and Development-------------------------------------------------- Print Only 13 International journal of Middle East Studies---------------------------------- Print + Online 14 Journal of Banking & Finance------------------------------------------------------ Online Only 15 Journal