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Using Earnings-At-Risk to Assess the Risk of Indonesian Banks
Using Earnings-at-Risk to Assess the Risk of Indonesian Banks Elisa R. Muresan, Ph.D. 1 Nevi Danila, Ph.D. 2 JEL Classifications: F37, G20 Authors’ Keywords: Capital Adequacy Ratio (CAR) Earnings-at-Risk (EaR), Bank Risk, Indonesian Banks Questions and feedback may be directed to both authors. 1 Elisa R. Muresan is an Assistant Professor of Finance at The School of Business, Public Administration, and Information Sciences, Long Island University, 1 University Plaza, Brooklyn, NY 11201, USA. Tel. +1 – 718 – 488 1150, Fax. +1 – 718 – 488 1125, Email: [email protected] 2 Nevi Danila is the President of the Malangkuçeçwara School of Economics, Jl. Terusan Kalasan - Malang 65142, Jawa Timur (East Java), Indonesia. Tel. + 62 – 341 – 491813, Fax: + 62 – 341 – 495619, Email: [email protected] Using Earnings-at-Risk to Assess the Risk of Indonesian Banks ABSTRACT The implication of Asian Crises in 1997-1998 has been detrimental to many financial institutions in the Asia-Pacific region. Most severely, followed by political reformation throughout 1998 to 2000, almost all of approximately 250 banks registered in the Indonesian Central Bank (Bank Indonesia) database had to undergo major financial reformations, merged with other banks, or simply had to be liquidated. The CAR Methodology, which has been used as the main tool by Bank Indonesia to investigate and estimate the riskiness of Indonesian banks, was not able to accurately estimate the risk of these banks. In this paper, we provide a theoretical framework and empirical analysis on the potential use of Earnings-at-Risk (EaR) to complement the current risk assessment methods used for the Indonesian banks. -
Axpo Solutions AG Key Figures
Annual Report 2019/20 Axpo Solutions AG Key figures Axpo Solutions Group 2019/20 2018/19 2017/18 2016/17 2015/16 Total income CHF million 3 325.9 3 599.0 3 423.8 3 949.5 3 989.8 Gross margin CHF million 1 061.7 975.8 746.9 217.5 117.8 Earnings before interest and tax (EBIT)1 CHF million 454.7 527.3 271.2 – 130.4 61.1 Net profit incl. non-controlling interests CHF million 421.1 473.7 149.8 – 244.4 – 87.2 in % of total income % 12.7 13.2 4.4 – 6.2 – 2.2 Cash flow from operating activities CHF million 139.0 109.4 225.5 34.1 90.8 Total capital as at 30 September CHF million 10 820.2 9 779.8 10 970.5 8 125.1 6 867.9 Total equity including non-controlling interests as at 30 September CHF million 2 847.0 2 390.7 1 682.2 1 786.8 1 779.9 Net debt (+) / net asset (–)2 CHF million 413.3 159.8 – 399.0 – 243.2 114.9 Cash and cash equivalents CHF million 483.2 525.2 411.1 238.8 425.4 Average number of employees FTE 1 362 1 084 912 876 836 1 In the 2015/16 financial year, the share of profit from partner plants and other associates was reclassified from below EBIT to the operating result. 2 In the reporting period, the net debt calculation was adjusted. Current and non-current financial receivables, except financial receivables from cash pool, which are not included in the net debt calculation anymore. -
Franklin Investors Securities Trust
STATEMENT OF ADDITIONAL INFORMATION FRANKLIN INVESTORS SECURITIES TRUST March 1, 2021 Class Contents A A1 C R R6 Advisor Franklin Adjustable U.S. Goals, Strategies and Risks ........... 2 Government Securities Fund FISAX FAUGX FCSCX — FAURX FAUZX Officers and Trustees ................ 59 Franklin Floating Rate Daily Access Fund FAFRX — FCFRX — FFRDX FDAAX Fair Valuation. 65 Franklin Low Duration Total Proxy Voting Policies and Procedures .... 65 Return Fund FLDAX — FLDCX FLDRX FLRRX FLDZX Management and Other Services ....... 69 Franklin Total Return Fund FKBAX — FCTLX FTRRX FRERX FBDAX Portfolio Transactions ................ 74 Distributions and Taxes ............... 75 This Statement of Additional Information (SAI) is not a prospectus. It contains infor- Organization, Voting Rights and mation in addition to the information in the Funds’ (hereafter “the Fund”) prospectus. Principal Holders .................... 86 The Fund’s prospectus, dated March 1, 2021, which we may amend from time to Buying and Selling Shares. 89 time, contains the basic information you should know before investing in the Fund. The Underwriter ..................... 96 You should read this SAI together with the Fund’s prospectus. Performance ....................... 98 The audited financial statements and Report of Independent Registered PublicAc - Miscellaneous Information .............101 counting Firm in the Fund’s Annual Report to shareholders, for the fiscal year ended Description of Ratings ................101 October 31, 2020, are incorporated by reference (are legally a part of this SAI). For a free copy of the current prospectus or annual report, contact your investment representative or call (800) DIAL BEN/342-5236. Mutual funds, annuities, and other investment products: • are not insured by the Federal Deposit Insurance Corporation, the Federal Reserve Board, or any other agency of the U.S. -
Model Risk Management: Quantitative and Qualitative Aspects
Model Risk Management Quantitative and qualitative aspects Financial Institutions www.managementsolutions.com Design and Layout Marketing and Communication Department Management Solutions - Spain Photographs Photographic archive of Management Solutions Fotolia © Management Solutions 2014 All rights reserved. Cannot be reproduced, distributed, publicly disclosed, converted, totally or partially, freely or with a charge, in any way or procedure, without the express written authorisation of Management Solutions. The information contained in this publication is merely to be used as a guideline. Management Solutions shall not be held responsible for the use which could be made of this information by third parties. Nobody is entitled to use this material except by express authorisation of Management Solutions. Content Introduction 4 Executive summary 8 Model risk definition and regulations 12 Elements of an objective MRM framework 18 Model risk quantification 26 Bibliography 36 Glossary 37 4 Model Risk Management - Quantitative and qualitative aspects MANAGEMENT SOLUTIONS I n t r o d u c t i o n In recent years there has been a trend in financial institutions Also, customer onboarding, engagement and marketing towards greater use of models in decision making, driven in campaign models have become more prevalent. These models part by regulation but manifest in all areas of management. are used to automatically establish customer loyalty and engagement actions both in the first stage of the relationship In this regard, a high proportion of bank decisions are with the institution and at any time in the customer life cycle. automated through decision models (whether statistical Actions include the cross-selling of products and services that algorithms or sets of rules) 1. -
EFAMA Response to ESMA Discussion Paper on UCITS OTC
EFAMA Reply to ESMA’s Discussion Paper on the Calculation of counterparty risk by UCITS for OTC financial derivative transactions subject to clearing obligations (ESMA/2014/876) EFAMA is the representative association for the European investment management industry. EFAMA represents through its 27 member associations and 63 corporate members almost EUR 17 trillion in assets under management of which EUR 10.6 trillion managed by 55,000 investment funds at end June 2014. Just under 36,000 of these funds were UCITS (Undertakings for Collective Investments in Transferable Securities) funds. For more information about EFAMA, please visit www.efama.org Preliminary Remarks EFAMA welcomes the opportunity to respond to the ESMA Discussion paper on the Calculation of counterparty risk by UCITS for OTC financial derivative transactions subject to clearing obligations (ESMA/2014/876). We understand that the contributions sought will concur to refine the “working assumptions” presented in the discussion paper in view of a further consultation and possibly further recommendations to the European Commission for amendments to the relevant parts of the UCITS directive. Considering the clearing options potentially available to UCITS as “financial counterparties” under EMIR - i.e. (i) become a direct member of a CCP, (ii) become client to a Clearing Member (CM), and (iii) enter into an indirect clearing arrangement – and the prevailing market practices, we acknowledge that, at this stage, option (ii) is certainly the most viable one. Already in its revised Q&A on Risk Management and Calculation of Global Exposure and Counterparty Risk for UCITS in December 2013, we took note of ESMA’s choice to not be too prescriptive on the clearing model chosen by UCITS and the recent discussion paper further reflects this by well illustrating the pros and cons behind direct and indirect clearing arrangements. -
Development of Risk Management for Power Generating Companies in Developing Countries
Sustainable Development and Planning VII 859 Development of risk management for power generating companies in developing countries A. Domnikov, G. Chebotareva & M. Khodorovsky Academic Department of Banking and Investment Management, Ural Federal University named after the first President of Russia B.N. Yeltsin, Russia Abstract One of the facets in the development process of power generating companies is to achieve a high level of investment potential. Taking into account the unstable development of the world economy and world-wide transformations in the global power sector, one of the lines aimed at the solution of the problem set is to improve the corporate management system for the sectorial, including investment-related, risk. This article presents a comparative analysis of alternative proprietary approaches to the assessment of risks specific for power generating companies in developing countries, which are characterised by elevated level of inflation, dearness of credit, and volatility of primary commodity markets. During the performed study, specific requirements were developed relating to the up-to-date sectorial risk management system for power generating companies in developing countries under the conditions characterised by multi-criteria nature and uncertainty of factors in business conduct. Keywords: electric power industry, developing countries, power generating company, business competitiveness, investor attractiveness, sectorial risks, risk expert assessment, statistical distribution. 1 Introduction It is common knowledge that electric power industry, one of the most important sectors of economy in any country, exerts versatile and profound effect on the operation of both industrial and non-industrial outfits. The power sector appears for a factor of global corporate competitiveness enhancement and an economic development driver (Domnikov et al. -
Developing the Risk Appetite Framework of a General Insurance Business
DEVELOPING THE RISK APPETITE FRAMEWORK OF A GENERAL INSURANCE BUSINESS Prepared by the Risk Appetite for General Insurance Working Party David Koob, James Basman, Stephen Britt, Andy Cohen, Ben Cooper, Darryl Ferreira, Angela Tartarow, Andy White This paper has been prepared for the Actuaries Institute. This paper has been prepared for the Actuaries Institute. The Institute Council wishes it to be understood that opinions put forward herein are not necessarily those of the Institute and the Council is not responsible for those opinions. 2016 Actuaries Institute The Institute will ensure that all reproductions of the paper acknowledge the Author/s as the author/s, and include the above copyright statement. Institute of Actuaries of Australia ABN 69 000 423 656 Level 2, 50 Carrington Street, Sydney NSW Australia 2000 t +61 (0) 2 9239 6100 f +61 (0) 2 9239 6170 e [email protected] w www.actuaries.asn.au 1 CONTENTS 1 INTRODUCTION ............................................................................................................................... 4 1.1 Purpose of paper ..................................................................................................................... 4 1.2 Historical Context .................................................................................................................... 4 1.3 Risk Appetite in Enterprise Risk Management ........................................................................ 5 1.4 APRA’s expectations in CPS 220 .......................................................................................... -
Risk Measurement and Disclosure in Islamic Finance and the Implications of Profit Sharing Investment Accounts1 V
Risk Measurement and Disclosure in Islamic Finance and the Implications of Profit Sharing Investment Accounts1 V. Sundararajan* The paper discusses key issues in the measurement and control of risks in Islamic Financial Services Institutions, particularly the implications of profit sharing investment accounts (PSIA) for risk measurement, risk management, capital adequacy and supervision. Cross country data on a sample of banks reveal a considerable smoothing of returns paid to PSIA, despite wide divergences in risk. This suggests that the sharing of risks with PSIA is fairly limited in practice, although, in principle, well-designed risk (and return) sharing arrangements with PSIA can serve as a powerful risk mitigant in Islamic finance. Supervisory authorities can provide strong incentives for effective and transparent risk sharing and the associated product innovations, by linking the extent of capital relief on account of PSIA with appropriate supervisory review of the risks borne by the PSIA (equivalently the extent of displaced commercial risk assumed by the shareholders), and by requiring adequate disclosure of these risks. A value-at risk (VAR) methodology is proposed for measuring these risks. 1. Introduction and Summary Globalization, changes in regulatory environment, and the growth in Islamic financial institutions and markets, together call for strengthened risk management in Islamic Financial Services Institutions (IFSIs), in order to enable them to compete effectively and remain sound and stable. This is because, the IFSIs face a unique mix of risks that arise both from the contractual design of instruments based on shari[ah principles, and the overall legal, governance, and liquidity infrastructure governing Islamic Finance. Fundamental to effective risk management, however, is a process of appropriate risk measurement that recognizes the specific mix of risk factors in Islamic Financial Contracts. -
Dynamic Value-At-Risk
Dynamic Value-at-Risk Andrey Rogachev November 2002 St.Gallen Contest 1. INTRODUCTION....................................................................................................................2 2. RISK MEASUREMENT IN PORTFOLIO MANAGEMENT ...........................................................3 2.1. Definition of the problem ...........................................................................................3 2.2. Objectives and research questions..............................................................................4 3. THE ECONOMIC IMPORTANCE OF VALUE-AT-RISK..............................................................6 4. VALUE-AT-RISK CALCULATIONS IN A PRAXIS ....................................................................7 4.1. The Estimations by one Swiss Private Bank ..............................................................7 4.2. Wegelin Value-at-Risk Scenarios ..............................................................................9 5. EMPIRICAL RESEARCH ......................................................................................................10 5.1. Value-at-Risk and Limitation...................................................................................10 5.2. The First Empirical Results......................................................................................12 5.3. Conclusion................................................................................................................14 6. DYNAMIC STRATEGY OF VALUE-AT-RISK ESTIMATION ....................................................16 -
Course 1 Chapter 2
Principles and Practices of Islamic Banking Khalifa M Ali Hassanain Principles and Practices of Islamic Banking Hassanain, Khalifa M ISBN 9960-32-304-8 Islamic development Bank, 2016 King Fahd National library cataloging –Publication Data Copy Rights Notice © Islamic research and Training Institute 2016 All rights reserved. All parts of this work are subject to sole ownership of Islamic research and Training Institute (hereinafter referred to as ‘Copyright Holder’) and remains exclusive property of the Copyright Holder. No part of this work may be copied, reproduced, adapted, distributed, modified or used in any other manner or media without prior written authorization of the Copyright Holder. Any unauthorized use of this work shall amount to copyright infringement and may give rise to civil and criminal liability. Enquiries and communications concerning authorization of usage may be made to the following: Islamic Research and Training Institute Member of the Islamic Development Bank Group P.O.Box 9201 - 21413 Jeddah Kingdom of Saudi Arabia E-Mail:[email protected] Disclaimer The content of these course have been developed solely for educational and training purposes. They are meant to reflect the state of knowledge in the area they cover. The content does reflect the opinion of the Islamic Development Bank Group (IDBG) nor the Islamic Research and Training Institute (IRTI). Acknowledgement This textbook was developed as part of the IRTI e-Learning Program (2010), which was established and managed by Dr. Ahmed Iskanderani and Dr. Khalifa M. Ali. Page 2 of 122 Table of Contents Chapter 1 – Fundamentals of Islamic Financial Intermediation .......................... 8 Chapter Introduction .................................................................................. -
Profiting with Iron Condor Option : Strategies from the Frontline For
ptg PROFITING WITH IRON CONDOR OPTIONS STRATEGIES FROM THE FRONTLINE FOR TRADING IN UPOR DOWN MARKETS M I C H A E L H A N A N I A B E N K L I F A Vice President, Publisher: Tim Moore Associate Publisher and Director of Marketing: Amy Neidlinger Executive Editor: Jim Boyd Editorial Assistant: Pamela Boland Development Editor: Russ Hall Operations Manager: Gina Kanouse Senior Marketing Manager: Julie Phifer Publicity Manager: Laura Czaja Assistant Marketing Manager: Megan Colvin Cover Designer: Chuti Prasertsith Managing Editor: Kristy Hart Project Editor: Anne Goebel Copy Editor: Cheri Clark Proofreader: Linda Seifert Indexer: Lisa Stumpf Compositor: TnT Design, Inc. Manufacturing Buyer: Dan Uhrig © 2011 by Pearson Education, Inc. Publishing as FT Press Upper Saddle River, New Jersey 07458 This book is sold with the understanding that neither the author nor the publisher is engaged in rendering legal, accounting, or other professional services or advice by publishing this book. Each individual situation is unique. Thus, if legal or financial advice or other expert assistance is required in a specific situation, the services of a competent professional should be sought to ensure that the situation has been evaluated carefully and appropriately. The author and the publisher disclaim any liability, loss, or risk resulting directly or indirectly, from the use or application of any of the contents of this book. FT Press offers excellent discounts on this book when ordered in quantity for bulk purchases or special sales. For more information, please contact U.S. Corporate and Government Sales, 1-800-382-3419, [email protected]. -
Risk Analysis for Islamic Banks
42481 RISK ANALYSIS FOR Public Disclosure Authorized Islamic BANKs Public Disclosure Authorized Public Disclosure Authorized Hennie van Greuning Zamir Iqbal Public Disclosure Authorized Risk Analysis for Islamic Banks Risk Analysis for Islamic Banks Hennie van Greuning and Zamir Iqbal THE WORLD BANK Washington, D.C. ©2008 The International Bank for Reconstruction and Development / The World Bank 1818 H Street NW Washington DC 20433 Telephone: 202-473-1000 Internet: www.worldbank.org E-mail: [email protected] All rights reserved 1 2 3 4 5 10 09 08 07 This volume is a product of the staff of the International Bank for Reconstruction and Development / The World Bank. The findings, interpretations, and conclusions expressed in this volume do not necessarily reflect the views of the Executive Directors of The World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgement on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Rights and Permissions The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. The International Bank for Reconstruction and Development / The World Bank encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. For permission to photocopy or reprint any part of this work, please send a request with complete information to the Copyright Clearance Center Inc., 222 Rosewood Drive, Danvers, MA 01923, USA; telephone: 978-750-8400; fax: 978-750-4470; Internet: www.copyright.com.