Weak-Form Efficiency in Karachi Stock Exchange; Evidence from Random Walk Hypothesis
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Panic, Prosperity, and Progress Founded in 1807, John Wiley & Sons Is the Oldest Independent Publishing Company in the United States
PANIC, PROSPERITY, AND PROGRESS Founded in 1807, John Wiley & Sons is the oldest independent publishing company in the United States. With offices in North America, Europe, Australia, and Asia, Wiley is globally committed to developing and marketing print and electronic products and services for our customers’ professional and personal knowledge and understanding. The Wiley Trading series features books by traders who have survived the market’s ever changing temperament and have prospered—some by reinventing systems, others by getting back to basics. Whether a novice trader, professional, or somewhere in-between, these books will provide the advice and strategies needed to prosper today and well into the future. For more on this series, visit our website at www.WileyTrading.com. PANIC, PROSPERITY, AND PROGRESS Five Centuries of History and the Markets Timothy Knight Cover Design: Wiley Cover Illustration: top: © gettyimages.com/Robin Bartholick; background: © gettyimages.com/ Keystone-France; bottom: © gettyimages.com/DEA/A. Dagli Orti Copyright © 2014 by Timothy Knight. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600, or on the Web at www.copyright.com. -
Explanation, Idealization, and Universality in Econophysics
Market Crashes as Critical Phenomena? Explanation, Idealization, and Universality in Econophysics Jennifer Jhun Department of Philosophy Lake Forest College Patricia Palacios Munich Center for Mathematical Philosophy Ludwig-Maximilians Universität München James Owen Weatherall Department of Logic and Philosophy of Science University of California, Irvine Abstract: We study the Johansen-Ledoit-Sornette (JLS) model of financial market crashes (Johansen, Ledoit, and Sornette [2000,]. "Crashes as Critical Points." Int. J. Theor. Appl. Finan 3(2) 219- 255). On our view, the JLS model is a curious case from the perspective of the recent philosophy of science literature, as it is naturally construed as a “minimal model” in the sense of Batterman and Rice (Batterman and Rice [2014] “Minimal Model Explanations.” Phil. Sci. 81(3): 349–376. ) that nonetheless provides a causal explanation of market crashes, in the sense of Woodward’s interventionist account of causation (Woodward [2003]. Making Things Happen. Oxford: Oxford University Press). Keywords: Johansen-Ledoit-Sornette Model; Econophysics; Renormalization group; Minimal Models; Explanation; Universality; Infinite Idealization 1. Introduction Mainstream economic models of financial markets have long been criticized on the grounds that they fail to accurately account for the frequency of extreme events, including market crashes. Mandelbrot and Hudson (2004) put the point starkly in their discussion of the August 1998 crash: “By the conventional wisdom, August 1998 simply should never have happened. The standard theories estimate the odds of that final, August 31, collapse, at one in 20 million, an event that, if you traded daily for nearly 100,000 years, you would not expect to see even once. -
Based on Machine Learning Methods a Thesis Submitted in Partial
UNIVERSITY OF CALIFORNIA Los Angeles Stock Trend Prediction: Based on Machine Learning Methods Athesissubmittedinpartialsatisfaction of the requirements for the degree Master of Applied Statistics by Yuan Song 2018 c Copyright by Yuan Song 2018 ABSTRACT OF THE THESIS Stock Trend Prediction: Based on Machine Learning Methods by Yuan Song Master of Applied Statistics University of California, Los Angeles, 2018 Professor Yingnian Wu, Chair Nowadays, people show more and more enthusiasm for applying machine learning methods to finance domain. Many scholars and investors are trying to discover the mystery behind the stock market by applying deep learning. This thesis compares four machine learning methods: long short-term memory (LSTM), gated recurrent units (GRU), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) to test which one performs the best in predicting the stock trend. I chose stock price indicators from 20 well-known public companies and calculated their related technical indicators as inputs, which are Relative Strength Index, the Average Directional Movement Index, and the Parabolic Stop and Re- verse. Experimental results show that recurrent neural network outperforms in time-series related prediction. Especially for gated recurrent units, its accuracy rate is around 5% higher than support vector machine and eXtreme gradient boosting. ii The thesis of Yuan Song is approved. Nicolas Christou Hongquan Xu Yingnian Wu, Committee Chair University of California, Los Angeles 2018 iii TABLE OF CONTENTS 1 Introduction ...................................... 1 2 Literature Review .................................. 4 2.1 Previous Stock Prediction . 4 2.2 NeuralNetwork.................................. 4 2.3 Classification . 6 3 Financial Definition ................................. 7 3.1 Stock Market . 7 3.2 Stock Trend Definition . -
FX Execution Algorithms and Market Functioning
Markets Committee FX execution algorithms and market functioning Report submitted by a Study Group established by the Markets Committee The Group was chaired by Andréa M Maechler (Swiss National Bank) October 2020 JEL classification: F31, G14, G15 Keywords: FX market, price discovery, execution trilemma This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2020. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISBN 978-92-9259-428-2 (online) Preface The FX market has undergone significant structural change in recent years. The proliferation of multiple trading venues has led to increased fragmentation, and trading has become more electronic and automated. This has fuelled an increase in the use of FX execution algorithms (EAs), including by bank and non-bank financial institutions, and certain non-financial corporates. To understand the drivers and implications of the rising use of EAs in FX markets, the Markets Committee established in mid-2019 a Study Group chaired by Andréa M Maechler (Swiss National Bank). This report presents the Group’s findings. In addition to data analysis and research, it draws on a unique survey among providers and users of EAs, as well as extensive industry-wide outreach. The key takeaway of the report is that EAs support price discovery and market functioning in an increasingly fragmented market. However, they also contribute to the ongoing changes in market structure, and with increasing scale of use, give rise to new risks and challenges that warrant close monitoring. The report provides unique insights into central banks’ use of EAs, and preliminary observations on the performance and use of EAs during a period of high volatility due to the COVID-19 crisis-induced market disruption in March 2020. -
Uncorrected Proof
International Review of Economics and Finance xxx (xxxx) xxx Contents lists available at ScienceDirect International Review of Economics and Finance journal homepage: www.elsevier.com A survey on the magnet effect of circuit breakers in financial markets Imtiaz Mohammad Sifat a, Azhar Mohamad b,∗ a Department of Economics and Finance, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500, Selangor, Malaysia b Department of Finance, Kulliyyah of Economics and Management Sciences, International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia PROOF ARTICLE INFO ABSTRACT JEL classification: Proponents of circuit breakers justify the practice citing its utility in placating stressed markets, D47 persuading agents to reflect on available information, and to trade rationally. Opponents counter D53 by calling it an infringement on laissez-faire price discovery process citing the lack of conclusive G15 evidence of their effectiveness in market crises. After nearly three decades of theoretical and em- G18 pirical scrutiny, this discord persists. Most of the empirical focus in this domain revolves around ex-post performance of circuit breakers in cooling off the market, interference in trading, volatility Keywords: splattering, and delayed assimilation of information. A less explored hypothesis is a potential for Circuit breakers traders to hasten trading plans fearing illiquidity or trading blockade. Thus, the existence of the Financial markets circuit breaker alone can induce its tripping. Known formally as the magnet effect, this hypothe- Price limits sis remains less explored due–inter alia–to paucity of data and methodological limitations. Greater Trading halts Volatility spillover availability of high-frequency datasets in recent times, however, has spurred a growth in empiri- cal works focusing purely on the magnet effect hypothesis. -
Trading Glossary
A shares This term has two distinct meanings with relatively equal usage. For stocks... Abandon To not exercise or sell an option by expiry. An Abandoned Option is one that... Abandonment option To not exercise or sell an option by expiry. An Abandoned Option is one that... Abatement Generally, abatement is a reduction or lessoning in intensity. In taxes, abatement... ABC agreement When a brokerage firm purchases a New York Stock Exchange membership for an... ABC Consumer Comfort Index - United States Assessment of consumer sentiment toward the economy based on telephone interviews... Abeyance Estate with no legal title holder or owner. Property is typically set in Abeyance... Ability to pay Generally, ability to pay refers to one's ability to meet existing or future... Above par Refers to the situation where the market value of a security (stock or bond)... Absolute advantage The ability of one state, country, or entity to produce a given service or good... Absolute priority rule The absolute priority rule specifies the peeking order of creditors during bankruptcy... Absorbed The term is applied in financial context similarly to its laymen use1 When business... Absorption rate Absorption Rate refers to the ability at which properties are able to be sold... Abstract of title A transaction record for a piece of land, recording transfers and claims that... Abusive tax shelter An abusive tax shelter refers to illegally reducing one's tax obligations.... Accelerated benefits Accelerated Benefits are an insurance option where policy holders may access... Accelerated Cost Recovery System The current method of gauging asset depreciation, as required by the United.. -
Assets of Money Market Mutual Funds
<TEXT TYPE="BRIEF"> 1094 ******<TITLE>ASSETS OF MONEY MARKET MUTUAL FUNDS ROSE 720.4 MLN DLRS IN LATEST WEEK 1095: </TITLE>Blah blah blah. 1096  1097 .... 1112 <TEXT TYPE="BRIEF"> 1113 ******<TITLE>U.S. TAX WRITERS SEEK ESTATE TAX CURBS, RAISING 6.7 BILLION DLRS THRU 1991 1114: </TITLE>Blah blah blah. 1115  1116 .... 2454 <TEXT TYPE="BRIEF"> 2455 ******<TITLE>U.S. COMMERCIAL PAPER FALLS 375 MLN DLRS IN FEB 18 WEEK, FED SAYS 2456: </TITLE>Blah blah blah. 2457  2458 .... 2473 <TEXT TYPE="BRIEF"> 2474 ******<TITLE>N.Y. BUSINESS LOANS FALL 195 MLN DLRS IN FEB 18 WEEK, FED SAYS 2475: </TITLE>Blah blah blah. 2476  2477 .... 2492 <TEXT TYPE="BRIEF"> 2493 ******<TITLE>NEW YORK BANK DISCOUNT WINDOW BORROWINGS 64 MLN DLRS IN FEB 25 WEEK 2494: </TITLE>Blah blah blah. 2495  2496 .... 2908 <TEXT TYPE="BRIEF"> 2909 ******<TITLE>U.S. M-1 MONEY SUPPLY RISES 2.1 BILLION DLRS IN FEB 16 WEEK, FED SAYS 2910: </TITLE>Blah blah blah. 2911  2912 .... 2951 <TEXT TYPE="BRIEF"> 2952 ******<TITLE>U.S. BANK DISCOUNT BORROWINGS AVERAGE 310 MLN DLRS IN FEB 25 WEEK, FED SAYS 2953: </TITLE>Blah blah blah. 2954  2955 .... 2970 <TEXT TYPE="BRIEF"> 2971 ******<TITLE>U.S. BANK NET FREE RESERVES 644 MLN DLRS IN TWO WEEKS TO FEB 25, FED SAYS 2972: </TITLE>Blah blah blah. 2973  2974 .... 4084 <TEXT TYPE="BRIEF"> 4085 ******<TITLE>NORTHERN TELECOM PROPOSES TWO-FOR-ONE STOCK SPLIT 4086: </TITLE>Blah blah blah. 4087  4088 ... -
Sovereign Wealth Funds Under Austerity the Sky Did Not Fall
cover_report_SIL.2016 oK_cover_report_SIL.2016.qxd 23/06/16 12:23 Pagina 2 BAFFI CAREFIN Centre for Applied Research on International Markets, Banking, Finance and Regulation Luigi Bocconi Sovereign Investment Lab Università Commerciale The Sky Did Not Fall Sovereign Wealth Fund contact info Annual Report 2015 phone +39.02 58365306 [email protected] Sovereign Wealth Funds www.bafficarefin.unibocconi.it/sil under Austerity Sovereign Wealth Fund Annual Report 2016 With the support of cover_report_SIL.2016 oK_cover_report_SIL.2016.qxd 23/06/16 12:23 Pagina 4 design: studio Cappellato e L aurent – Milan aurent design: studio Cappellato e L Sovereign Investment Lab Research and educational partner of The Sovereign Investment Lab is a group of researchers brought together in the Baffi Carefin Centre For Applied Research on International Markets, Banking, Finance and Regulation at Bocconi University. The Lab tracks the trends of sovereign fund investment activity worldwide and conducts path- breaking research on the rise of the State as an investor in the global economy. Research output aims to meet the highest scientific standards, but also to be accessible for a variety of stakeholders also outside academia: institutional investors, policymakers, regulators, and the media. Editor Bernardo Bortolotti Director, Sovereign Investment Lab Bocconi University and Università degli Studi di Torino [email protected] int_report_SIL.2016_int_report_SIL.2016.qxd 23/06/16 12:10 Pagina 1 Contents 3 From the Editor 7 Introducing Sovereign -
CFTC Concept Release on Risk Controls and System
Futures Industry Association 2001 Pennsylvania Ave. NW 202.466.5460 Suite 600 202.296.3184 fax Washington, DC 20006-1823 www.futuresindustry.org December 11, 2013 Via Electronic Submission Ms. Melissa D. Jurgens, Secretary of the Commission, Commodity Futures Trading Commission Three Lafayette Centre 1155 21st Street NW. Washington, DC 20581 Re: Concept Release on Risk Controls and System Safeguards for Automated Trading Environments RIN 3038-AD52; 78 FR 56542 Dear Ms. Jurgens: The Futures Industry Association 1 (“FIA”) appreciates the opportunity to respond to the questions posed in the Commodity Futures Trading Commission’s (“CFTC’s”) Concept Release on Risk Control and System Safeguards for Automated Trading Environments published in the Federal Register on September 12, 2013. As acknowledged throughout the Concept Release and described more fully in our responses, FIA member firms have been in the forefront of efforts to strengthen risk controls and system safeguards across the futures marketplace. The FIA, the FIA Principal Traders Group (“FIA PTG”), and the FIA European Principal Traders Association (“FIA EPTA”) 2 have identified industry best practices with respect to risk controls that reduce the risk of market disruptions due to unauthorized access, software changes, 1 FIA is the leading trade organization for the futures, options and over-the-counter cleared derivatives markets. It is the only association representative of all organizations that have an interest in the listed derivatives markets. Its membership includes the world's largest derivatives clearing firms as well as leading derivatives exchanges from more than 20 countries. As the principal members of the derivatives clearing organizations, our member firms play a critical role in the reduction of systematic risk in the financial markets. -
Daily Commodities Brief This Daily Newsletter Is Available to Reuters Customers on Their Desktop Terminals Using the Code [COM/BRIEF] Or Via Email
Compiled on Tuesday, May 11, 2010 Daily Commodities Brief This daily newsletter is available to Reuters customers on their desktop terminals using the code [COM/BRIEF] or via email. If you would like to receive it directly, please register at http://online.thomsonreuters.com/commodities%5Fpreference/ Index (Total Return) Close10May Change YTD Change Contract (AS OF 0719GMT) Price Change Net Change YTD Reuters/Jefferies CRB 261.09 1.58% -6.29% NYMEX light crude $76.23 -0.74% -$0.57 -3.23% S&P GSCI 4288.078 1.82% -5.43% NYMEX RBOB gasoline $2.17 -0.25% -$0.04 5.85% Rogers International 3076.78 -0.63% -6.04% ICE gas oil $670.25 -0.22% -$671.75 5.70% NYMEX natural gas $4.16 -0.29% -$0.01 -25.16% Dow Jones - UBS 128.6608 1.22% -6.43% Spot Gold $1,206.40 0.37% $4.50 9.69% Cont Commod Indx 466.45 0.95% -2.79% LME Copper $7,010 -1.61% -$115.00 -3.46% Other Market Performance LME Aluminium $2,115 -1.17% -$25.00 -3.72% US STOCKS (DJI) 10380.43 3.90% 3.42% CBOT Corn $3.61 -0.55% -$0.02 -12.42% US DOLLAR INDEX 84.156 -0.35% 8.09% CBOT Wheat $4.82 -0.05% $0.00 -10.90% US BOND INDEX (DJ) 255.05 -0.18% 3.41% Malaysia Palm Oil (3M) R2,510 -0.75% -R19 -5.03% CHART OF THE DAY (Click on the chart for full-size image) Join Reuters Editorial Live on 11 May to Discuss USDA Crop Report The Global Ags Forum, Thomson Reuters online chatroom for grain traders and analysts, will host a chat with columnist Gavin Maguire starting at 7:45 am CDT (1245 GMT) Tuesday 11 May after USDA issues its May crop report. -
The 2020 Stock Market Crash Is a Global Stock Market Crash That Began on 20 February 2020
A BRIEF HISTORY OF THE 2020 EVENTS IN THE FINANCIAL INDUSTRY (UP TO APRIL 1ST, 2020) The 2020 stock market crash is a global stock market crash that began on 20 February 2020. On 12 February, the Dow Jones Industrial Average, the NASDAQ Composite, and S&P 500 Index all finished at record highs (while the NASDAQ and S&P 500 reached subsequent record highs on 19 February). From 24 to 28 February, stock markets worldwide reported their largest one-week declines since the 2008 financial crisis, thus entering a correction. Global markets into early March became extremely volatile, with large swings occurring in global markets. On 9 March, most global markets reported severe contractions, mainly in response to the 2019–20 coronavirus pandemic and an oil price war between Russia and the OPEC countries led by Saudi Arabia. This became colloquially known as Black Monday I, and at the time was the worst drop since the Great Recession in 2008. Three days after Black Monday I there was another drop, Black Thursday, where stocks across Europe and North America fell more than 9%. Wall Street experienced its largest single-day percentage drop since Black Monday in 1987, and the FTSE MIB of the Borsa Italiana fell nearly 17%, becoming the worst-hit market during Black Thursday. Despite a temporary rally on 13 March (with markets posting their best day since 2008), all three Wall Street indexes fell more than 12% when markets re-opened on 16 March. At least one benchmark stock market index in all G7 countries and 14 of the G20 countries has been declared to be in bear markets. -
Report on Trends Risks Vulnerabilities No. 2, 2014
Trends Risks Vulnerabilities No. 2, 2014 3 September 2014|ESMA/2014/884 ESMA Report on Trends, Risks and Vulnerabilities No. 2, 2014 2 ESMA Report on Trends, Risks and Vulnerabilities, No. 2, 2014 Contributors: Sophie Ahlswede, Jakub Brettl, Anne Chone, Claudia Guagliano, Jean-Baptiste Haquin, Frank Hespeler, Steffen Kern (editor), Giuseppe Loiacono, Julien Mazzacurati, Peter McGoldrick, Yanis El Omari, Tania De Renzis, Christian Weistroffer, Christian Winkler Support: Mirza Durakovic, Massimo Ferrari, Claire Meyer, Roko Pedisic © European Securities and Markets Authority, Paris, 2014. All rights reserved. Brief excerpts may be reproduced or translated provided the source is cited adequately. The reporting period of this Report is 01 January 2014 to 30 June 2014, unless indicated otherwise. The reporting quarter of the Risk Dashboard in the Risk Section is 4Q13. Legal reference of this Report: Regulation (EU) No 1095/2010 of the European Parliament and of the Council of 24 November 2010 establishing a European Supervisory Authority (European Securities and Markets Authority), amending Decision No 716/2009/EC and repealing Commission Decision 2009/77/EC, Article 32 “Assessment of market developments”, 1. “The Authority shall monitor and assess market developments in the area of its competence and, where necessary, inform the European Supervisory Authority (European Banking Authority), and the European Supervisory Authority (European Insurance and Occupational Pensions Authority), the ESRB and the European Parliament, the Council and the Commission about the relevant micro-prudential trends, potential risks and vulnerabilities. The Authority shall include in its assessments an economic analysis of the markets in which financial market participants operate, and an assessment of the impact of potential market developments on such financial market participants.” The charts and analyses in this report are, fully or in parts, based on data not proprietary to ESMA, including from commercial data providers and public authorities.