Intermarket Trading Strategies
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Name of the AMC : IIFL ASSET MANAGEMENT LIMITED All Figures
Name of the AMC : IIFL ASSET MANAGEMENT LIMITED All figures - Rs. in Lacs Sr. No. ARN Name of the ARN Holder Total Commission Total Expenses Total Commission + Gross Inflows Net Inflows Whether the Averge Assets under AUM as on Ratio of paid during paid during Expenses paid during distributor is an Management for FY 31-Mar-2019 AUM to FY 2018-19 FY 2018-19 FY 2018-19 associate or group 2018-19 Gross compnay of the Inflows sponsors of the Mutual Fund A B A+B 1 1 BNP Paribas - - - - - - - - 2 2 JM Financial Services Limited 0.01 - 0.01 3.73 3.73 1.52 4.01 1.08 3 5 HDFC Bank Limited - - - - - - - - 4 6 SKP Securities Limited - - - - - - - - 5 7 SPA Capital Services Limited - - - - - - - - 6 9 Way2Wealth Securities Private Limited - - - 2.52 2.52 1.92 2.61 1.04 7 10 Bajaj Capital Ltd. 6.44 - 6.44 540.91 540.29 479.55 564.07 1.04 8 11 SBICAP Securities Limited - - - - - - - - 9 14 Shubhangi Gopal Pai - - - - - - - - 10 16 Bluechip Corporate Investment Centre Ltd - - - - - - - - 11 17 Stock Holding Corporation of India Limited - - - - - - - - 12 18 Karvy Stock Broking Limited 12.23 - 12.23 1,435.72 981.98 915.16 1,022.93 0.71 13 19 Axis Bank Limited 0.08 - 0.08 10.03 10.03 6.43 10.42 1.04 14 20 ICICI Bank Limited 42.05 - 42.05 4,078.27 4,020.20 3,612.52 4,189.04 1.03 15 21 Tata Securities Limited - - - - - - - - 16 22 Hongkong & Shanghai Banking Corporation Ltd. -
ELECTRONIC, ELECTRICAL & SYSTEMS ENGINEERING Beng Final Year Project (EE3P) Ahmed Zaidi 1153609 Forecasting Weekly WTI Crude
ELECTRONIC, ELECTRICAL & SYSTEMS ENGINEERING BEng Final Year Project (EE3P) Ahmed Zaidi 1153609 Forecasting Weekly WTI Crude Oil using Twitter Sentiment of US Foreign Policy and Oil Companies Dr. Mourad Oussalah Abstract The drop in crude oil price during late 2014 has had a significant impact on all nations. While some countries have reaped the benefits of low oil prices, others have suffered greatly. As a result, it is no surprise that many academics have attempted to develop reliable models to forecast crude oil price. In the age of information and social media, the role of Twitter and Facebook has become increasingly more relevant in understanding our environment. Many academics have exploited this wealth of data to extract features including sentiment and word frequency to build reliable forecasting models for financial instruments such as stocks. These methodologies, however, remain unexplored for the prediction of crude oil prices. The purpose of this investigation to develop a novel model that uses sentiment of United States foreign policy and oil companies’ to forecast the direction of weekly WTI crude oil prices. The investigation is divided into three parts: 1) a methodology of collecting tweets relevant to US foreign policy and oil companies’; 2) a statistical analysis of the novel features using Granger Causality Test; 3) the development and evaluation of three machine learning classifiers including Naïve Bayes, ANNs, and SVM to predict the direction of weekly WTI crude oil. The findings of the statistical analysis showed strong correlation between the novel inputs and WTI crude oil price. The results of the statistical tests were then used in the development of the predictive model. -
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Index “A Bust to the Markets” Axis Financial Services (money (Archer), 361 manager), 353 “A Conversation with the Gnomes” (Archer and Treuren), 257 Baby markets, 355 Account types, 107, 109 Baby Pips, 133 Advisory services, 143–144 Back-testing, 345–346, 359 Agent computing, 361 Backup computers, 112 Algorithmic trading, 363 Baht, 333, 334 American style option, 326 Balance of trade, 178–179 AnalyzerXL, 141 Ballooning (pip) spreads, 84, 93, Anti-hedging, 40 111, 190, 334 Anti-hedging regulations, 116. Bands, 11 See also National Futures Bank lot size, 9 Association (NFA) Bank lots, 59 Application program interface Banking hours, 319 (API), 358 Bar charts, 150–152 Application service providers Barron’s, 95 (ASPs), 359 Base currency, 48–49, 67 Archer, Michael Duane, 257, Basic market paradigm (BMP), 361, 363 234–236, 257, 320 Artificial intelligence (AI), 362 Bathtub analysis, 234, 273–274, 280 Asian session, 8 Bear market, 11 “A Simple Cellular Automata Bear swings, 316 Model forCOPYRIGHTED Predicting FX Beginning MATERIAL point (BP), 239, 266 Prices” (Archer), 363 Belgian dentist, 256 Ask price, 29, 52 Bernanke, Ben, 19 ATC brokers, 106 Best FX Trader (money manager), 353 AUDUSD example, 255 Beyond Candlesticks: More Japanese Australian Dollar (AUD), 4 Charting Techniques Revealed Automated order entry, 130 (Nison), 159 Automated trading method, 341 Bickford, James L. “Jim,” 10, 83, 85, Automated trading system, 339, 340 88, 169, 183, 191, 225, 234, Automatic trailing stops, 119 314, 363 405 bindex.indd 405 4/10/2012 4:45:45 PM 406 INDEX Bid price, 29, 52 Central clearinghouse, 16 Bid-ask spread, 13, 52, 117, 368 Centralized exchange, 4 Biofeedback, 211–213, 218, 293, 320 CFTC. -
Integrating Neurally Enhanced Fundamental Analysis, Technical Analysis and Corporate Governance in the Context of a Stock Market Trading System
Fusion Analysis: Integrating Neurally Enhanced Fundamental Analysis, Technical Analysis and Corporate Governance in the Context of a Stock Market Trading System Safwan Mohd Nor DiA (UiTM), BA (Hons) AFS (UCLan), MFA (LTU), CFTP Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Finance and Financial Services Discipline Group College of Business Victoria University, Melbourne 2014 Abstract This thesis examines the trading performance of a novel fusion strategy that amalgamates neurally enhanced financial statement analysis (traditional fundamental analysis), corporate governance analysis (new fundamental research) and technical analysis in the context of a full-fledged stock market trading system. In doing so, we build and investigate the trading ability of five mechanical trading systems: (1) (traditional) fundamental analysis; (2) corporate governance analysis; (3) technical analysis; (4) classical fusion analysis (a hybrid of only fundamental and technical rules) and (5) novel fusion analysis (a hybrid of fundamental, corporate governance and technical rules) in an emerging stock market, the Bursa Malaysia. To construct the full-fledged trading systems, we employ a backpropagation algorithm in enhancing buy/sell rules, and also include anti-Martingale (position sizing) and stop loss (risk management) strategies. In providing valid empirical results, we compare the trading performance of each trading system using out-of-sample analysis in the presence of a realistic budget, sample portfolio, short selling restriction, round lot constraint and transaction cost. The effects of data snooping, survivorship and look-ahead biases are also addressed and mitigated. The results show that all the trading systems produce significant returns and are able to outperform the benchmark buy-and-hold strategy. -
THIN FILM ELECTRONICS ASA (A Norwegian Public Limited Liability Company Organized Under the Laws of Norway with Business Registration Number 889 186 232)
THIN FILM ELECTRONICS ASA (a Norwegian public limited liability company organized under the laws of Norway with business registration number 889 186 232) Listing of 68,922,869 Private Placement Shares issued in a Private Placement Listing of up to 679,182,172 Warrant Shares in connection with the potential exercise of Warrants B and Warrants C (collectively the “Warrants”) The information contained in this prospectus (the “Prospectus”) relates to (i) the listing on Oslo Børs, a stock exchange operated by Oslo Børs ASA (the “Oslo Børs”), of 68,922,869 new shares (the “Private Placement Shares”), at a subscription price of NOK 0.82 per Private Placement Share (the “Subscription Price”), each with a nominal value of NOK 0.11, in Thin Film Electronics ASA (“Thinfilm” or the “Company”, and together with its consolidated subsidiaries, the “Group”), issued in a private placement directed towards certain investors for gross proceeds of approximately NOK 56.5 million (the “Private Placement”), and (ii) the listing of up to 679,182,172 shares on Oslo Børs issued in connection with exercise of Warrants B and Warrants C (the “Warrant Shares”), at an exercise price of NOK 0.25 per Warrant Share (the “Exercise Price”), each with a nominal value of NOK 0.11. The Private Placement Shares and the Warrant Shares will collectively be referred to as the “New Shares”. The Private Placement Shares were issued by a resolution by the Company’s Board of Directors (the “Board”) on 1 March 2021, pursuant to an authorization from the Extraordinary General Meeting on 19 August 2020. -
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 -
Getting Started in CURRENCY TRADING
FM.qxd 5/6/08 3:08 PM Page i Getting Started in CURRENCY TRADING SECOND EDITION Winning in Today’s Hottest Marketplace Michael Duane Archer John Wiley & Sons, Inc. FM.qxd 5/6/08 3:08 PM Page iv FM.qxd 5/6/08 3:08 PM Page i Getting Started in CURRENCY TRADING SECOND EDITION Winning in Today’s Hottest Marketplace Michael Duane Archer John Wiley & Sons, Inc. FM.qxd 5/6/08 3:08 PM Page ii Copyright © 2008 by Michael D. Archer. All rights reserved Published by John Wiley & Sons, Inc., Hoboken, New Jersey Published simultaneously in Canada A first edition of this book was co-authored by Michael D. Archer and Jim L. Bickford and published by John Wiley & Sons, Inc. in 2005. 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, Dan- vers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the ac- curacy or completeness of the contents of this book and specifically disclaim any implied war- ranties of merchantability or fitness for a particular purpose. -
Oil Prices and Stock Markets
WORKING PAPER SERIES Oil Prices and Stock Markets Stavros Degiannakis, George Filis, and Vipin Arora June 2017 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. Independent Statistics & Analysis U.S. Energy Information Administration www.eia.gov Washington, DC 20585 June 2017 Table of Contents Abstract ......................................................................................................................................................... 4 About the Authors ........................................................................................................................................ 5 Executive Summary ....................................................................................................................................... 6 1. Introduction .............................................................................................................................................. 8 2. Theoretical Transmission Mechanisms Between Oil and Stock Market Returns ................................... 10 2.1 Stock valuation channel ................................................................................................................... 10 2.2 Monetary channel ............................................................................................................................ 10 2.3. Output channel .............................................................................................................................. -
Commission to Distributors for FY 2019-20 Website
Name of the AMC : Mirae Asset Investment Managers (India) Private Limited All figures - Rs. in Lacs Sr. No. ARN Name of the ARN Holder Total Commission Total Expenses Total Commission + Gross Inflows Net Inflows Whether the Averge Assets under AUM as on Ratio of AUM to paid during paid during Expenses paid distributor is an Management for FY 2019- 31-Mar-2020 gross inflows FY 2019-20 FY 2019-20 during FY 2019-20 associate or 20 (AUM as on group company March 31, of the sponsors of 2020/Gross the Mutual Fund Inflows for FY 2019-20) A B A+B 1 2 JM Financial Services Limited 65.93 - 65.93 11,434.51 445.97 No 9,104.59 7,916.09 0.69 2 5 HDFC Bank Limited 108.24 - 108.24 16,839.27 8,889.71 No 30,912.59 26,978.43 1.60 3 6 SKP Securities Limited 14.43 - 14.43 1,367.59 874.94 No 2,203.19 1,908.60 1.40 4 7 SPA Capital Services Limited 17.49 - 17.49 969.33 -462.14 No 2,077.20 1,726.76 1.78 5 9 Way2Wealth Securities Private Limited 6.60 - 6.60 764.04 514.75 No 887.01 809.96 1.06 6 10 Bajaj Capital Ltd. 252.73 - 252.73 14,093.14 8,804.10 No 22,564.16 21,190.08 1.50 7 11SBICAP Securities Limited 2.75 - 2.75 448.13 370.57 No 330.42 422.26 0.94 8 14 Shubhangi Gopal Pai 2.05 - 2.05 341.53 324.02 No 227.52 309.91 0.91 9 16 Bluechip Corporate Investment Centre Ltd 19.21 - 19.21 2,269.94 1,739.34 No 3,293.27 3,264.52 1.44 10 17 Stock Holding Corporation of India Limited 21.07 - 21.07 1,249.06 670.33 No 2,353.49 2,088.82 1.67 11 18 Karvy Stock Broking Limited 187.06 - 187.06 12,877.97 8,103.60 No 19,726.40 16,913.39 1.31 12 19 Axis Bank Limited 12.84 - 12.84 8,904.84 7,551.84 No 2,292.88 6,601.85 0.74 13 20 ICICI Bank Limited 143.61 - 143.61 26,473.17 20,543.75 No 16,455.08 21,143.47 0.80 14 21 Tata Securities Limited 0.30 - 0.30 21,511.36 4.29 No 148.32 43.76 0.00 15 22 Hongkong & Shanghai Banking Corporation Ltd. -
2019Annual Report “Through Clients’ Eyes” Means That We Constantly Strive to Make Decisions That Best Serve Our Clients
2019Annual Report “Through Clients’ Eyes” means that we constantly strive to make decisions that best serve our clients. The Charles Schwab Corporation (NYSE: SCHW) is an investing services firm with a history of innovating and advocating for individual investors and the advisors and institutions who serve them. In addition to historical information, this Annual Report to Stockholders contains “forward-looking statements,” which are identified by words such as “believe,” “expect,” “will,” “may,” “would,” “could,” “should,” “growth,” “build,” “deliver,” “continue,” “remain,” “can,” “drive,” “potential,” “lead,” “position,” “target,” “record,” “investment,” “opportunity,” “objective,” “ensure,” “ongoing,” “are,” “aim,” “anticipate,” “maintain,” “commitment,” “project,” and other similar expressions. In addition, any statements that refer to expectations, projections, or other characterizations of future events or circumstances are forward-looking statements. These forward- looking statements, which reflect management’s beliefs, objectives, and expectations as of the date hereof, are estimates based on the best judgment of the company’s senior management. These statements relate to, among other things: stockholder value and rewards; growth in the company’s client base, accounts, assets, revenues, earnings and profits; investments to fuel and support growth, serve clients, and drive scale and efficiency; operating efficiency; the acquisition of certain assets of USAA’s Investment Management Company, including the related referral agreement, -
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P1: JYS ind JWBK304-Katsanos November 22, 2008 21:44 Printer: Yet to come Index abbreviations’ list 382–3 artificial neural networks 25, 154–5, ABS(DATA ARRAY) 379 168–71, 172, 215, 221–33, 357–65, ADM see Archer Daniels Midlands 371 ADRs 47, 86, 371 see also fuzzy logic; genetic algorithm advance-decline line 371 combined trading strategy 226–33, 360–3 ADX 140–3, 271–3, 276, 280–5 concepts 25, 154–5, 168–71, 172, 215, ADX(PERIODS) 379 221–33, 357–65, 371 AEX 82 conventional system comparisons 215, agricultural commodities 52–5 221–33 ALERT() 379 critique 169–71, 172, 221–33 Allianz 203 disparity 224–33, 359–60 aluminium 59–61, 249, 257, 259, 291 dynamic considerations 233 Amex Gold BUGS Index (HUI) FTSE system 215, 221–33, 357–65 concepts 63 hidden neurons 223, 225–33, 374 weighting method 63 hybrid strategy 172, 226–33, 363–5 Amex Oil Index (XOI) 30, 49–50, input considerations 221–2, 224–9, 233 55–8, 79–82, 216–33, 236–44, network architecture 230–2 357–65 nonlinear relationships 25 composition 56–7 optimization factors 168–71, 226–33 concepts 55–8, 216–33, 236–44 output considerations 226–9 correlations 57–8, 236–44 problems 222–3, 226, 232–3 S&P 500 79–82, 236–44 ROC 222–33, 357–60 weighting method 56–7 sensitivity analysis 226 ANOVA, concepts 161–2 testing procedures 223–9 Apache Corp. 56–7 total net profit 225–33 appendices 297–370COPYRIGHTEDtrading MATERIAL specifications 229–30 arbitrage 371 training 168–71, 172, 223–33 Archer Daniels Midlands (ADM) Asia Pacific Fund 251, 254–9 235 Asian crisis of 1997 78 Aristotle 111 Asian markets 7, 12–15, 74–5, 78 artificial intelligence asset allocations concepts 168–73 see also dynamic . -
Peak Oil News
Peak Oil News A Compilation of New Developments, Analysis, and Web Postings Tom Whipple, Editor Wednesday, December 03, 2008 Current Developments 1. OIL RISES SLIGHTLY AFTER PLUNGING TO 3-YEAR LOW Pablo Gorondi Associated Press Writer December 3, 2008 Oil prices rose slightly Wednesday but remained near three-year lows as investors tried to gauge how much the slowdown in U.S. and Chinese economies will hurt demand for crude. By midday in Europe, light, sweet crude for January delivery was up 30 cents to $47.26 a barrel in electronic trading on the New York Mercantile Exchange. The contract fell $2.32 overnight to settle at $46.96 after touching $46.82, the lowest level since May 20, 2005, when it traded at $46.20. In London, January Brent crude rose 30 cents to $45.74 on the ICE Futures exchange. "The rallies we've seen have been false rallies, relief rallies," said Mark Pervan, senior commodity strategist with ANZ Bank in Melbourne. "The mood is overwhelmingly bearish at the moment." 2. OIL RISES FROM 3-YEAR LOW AS OPEC SIGNALS PLAN TO CUT SUPPLIES By Christian Schmollinger and Grant Smith Dec. 3 (Bloomberg) -- Crude oil rebounded from a three-year low on speculation OPEC will cut production further this month to check the collapse in prices. The Organization of Petroleum Exporting Countries intends to redice output when it meets on Dec. 17 in Algeria, Qatar’s Oil Minister Abdullah bin Hamad al- Attiyah said today. The U.S. Energy Department releases its weekly report on fuel inventories later today.