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NIGERIAN NAIRA EXCHANGE RATES SARIMA MODELLING Ette
Journal of Physical Science and Innovation Volume 8, No. 1, 2016 ISSN: 2277-0119 DAILY CHINESE YUAN – NIGERIAN NAIRA EXCHANGE RATES SARIMA MODELLING Ette Harrison Etuk Department of Mathematics, Rivers State University of Science and Technology, Port Harcourt Email: [email protected] ABSTRACT A 179-point realization of daily exchange rates of the Chinese Yuan and the Nigerian Naira spanning from 18th October 2015 and 13th April 2016 is analyzed by seasonal autoregressive integrated moving average (SARIMA) methods. The time plot shows an initial downward trend up to the middle of December 2015 and then an upward trend from then onwards. This means that prior to the middle of December 2015 the Naira was relatively appreciating before it started depreciating relatively. The series is adjudged as non-stationary by the Augmented Dickey Fuller Test. A seven-point (i.e. seasonal) differencing of the series yields a series which, though adjudged stationary, still exhibits seasonality and therefore could not said to be stationary. A further (non-seasonal) differencing is done to achieve stationarity. The autocorrelation structure of the resultant series suggests the possibility of some SARIMA models. These include a SARIMA(0,1,1)x(0,1,1)12 and a SARIMA(0,1,0)x(0,1,1)12. Comparison on the basis of the information criteria AIC, Schwarz criterion and Hannan-Quinn criterion shows that the former model is the superior. It is as well observed that its residuals are white noise. Forecasting and simulation of these rates may be done on its basis. Keywords: Chinese Yuan, Nigerian Naira, SARIMA Modelling INTRODUCTION Of recent the Nigerian President Muhammadu Buhari paid a visit to China and it is being conjectured that the purpose of his visit was to discuss the possibility of a currency swap between the Chinese Yuan (CNY) and the Nigerian Naira (NGN). -
Trading in Foreign Exchange Markets
Trading in Foreign Exchange Markets Four Essays on the Microstructure of Foreign Exchange Dagfinn Rime Dissertation for the Degree of Dr. Polit. in the Norwegian School of Management BI’s Doctoral Program in collaboration with the University of Oslo. Series of Dissertations 2/2001 Norwegian School of Management BI Department of Economics Dafinn Rime: Trading in Foreign Exchange Markets: Four Essays on the Microstructure of Foreign Exchange ã Dagfinn Rime 2001 Series of Dissertations 2/2001 ISBN: 82-7042-432-3 ISSN: 1502-2099 Norwegian School of Management BI P.O.B. 580 N-1302 Sandvika Phone: +47 67 55 70 00 Printing: Nordberg Hurtigtrykk To be ordered from: Juul Møller Bøker Phone: +47 67 55 74 51 Fax: +47 67 55 74 50 Mail: [email protected] CONTENTS 1 Overview and Introduction 1 2 FX Trading . LIVE! Dealer Behavior and Trading Systems in Foreign Exchange Markets 25 3 Customer Trading and Information in Foreign Exchange Markets 63 4 Private or Public Information in Foreign Exchange Markets? An Empirical Analysis101 5 U.S. Exchange Rates and Currency Flows 149 iii iv CONTENTS PREFACE Writing this dissertations has been like a long journey. In the beginning everything was new and exciting, with plenty of paths to follow, all leading down to the Great Big Beach of Doctoral Courses. Down at the beach I met this really cool guy (Geir), and after a couple of beers and deciding on a topic, I felt like I was cruising in a red Ferrari on the Highway to Completion. However, that was only in my too optimistic mind. -
Central Bank Survey of Foreign Exchange and Derivatives Market Activity
FR 3036 OMB No. 7100-0285 Hours per Response: 55.0 Approval expires: May 31, 2022 Instructions for the Central Bank Survey of Foreign Exchange and Derivatives Market Activity Turnover Survey April 2019 FR 3036 OMB No. 7100-0285 This report is authorized by law (12 U.S.C. §§ 225a and 263). Your voluntary cooperation in submitting this report is needed to make the results comprehensive, accurate and timely. The Federal Reserve may not conduct or sponsor, and an organization is not required to respond to, a collection of information unless it displays a currently valid OMB control number. The Federal Reserve System regards the individual institution information provided by each respondent as confidential [5 U.S.C. §552(b)(4)]. If it should be determine d that any information collected on this form must be released, other than in the aggregate in ways that will not reveal the amounts reported by any one institution, respondents will be notified. Public reporting burden for this collection of information is estimated to be 55 hours per response, including time to gather and maintain data in the proper form, to review instructions and to complete the information collection. Send comments regarding this burden estimate to: Secretary, Board of Governors of the Federal Reserve System, 20th and C Streets, NW, Washington, DC 20551; and to the Office of Management and Budget, Paperwork Reduction Project, (7100-0285), Washington, DC 20503. Turnover Survey FR 3036 April 2019 Instructions A. Introduction These instructions cover the turnover part of the survey. The turnover part of the survey will be conducted on a locational basis. -
Modelling Naira/Pounds Exchange Rate Volatility: Application of Arima and Garch Models
International Journal of Engineering Applied Sciences and Technology, 2019 Vol. 4, Issue 8, ISSN No. 2455-2143, Pages 238-242 Published Online December 2019 in IJEAST (http://www.ijeast.com) MODELLING NAIRA/POUNDS EXCHANGE RATE VOLATILITY: APPLICATION OF ARIMA AND GARCH MODELS Saminu Umar Shehu Sidi Abubakar Department of Mathematics and Statistics Department of Mathematics and Statistics Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria Abdulrashid M. Salihu Zayyanu Umar Department of Mathematics and Statistics Department of Agricultural Science Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria Shehu Shagari Collage of Education, Sokoto, Nigeria Abstract—This study aimed at modelling the daily determined by market forces of demand and supply but rather Naira/Pound exchange rate volatility with ARIMA and the prevailing system is the managed float whereby the GARCH type models with daily exchange rate ranging from monetary authorities intervene periodically in the foreign June 2016 to July 2019 is obtained from Central Bank of exchange market of a country in order to attain some strategic Nigeria. The stationarity of the data series was checked objectives. using graphical analysis, Augmented Dickey Fuller (ADF) Time series is the record of outcomes of a variable according and Phillips-Perron (PP) tests, it was found out that the to time, the outcomes may be recorded daily, weekly, monthly, exchange rate series is not stationary, the return of the quarterly, yearly or at any other specified interval of time. It is series was obtained and found out to be stationary. It was known that time series data are volatile. Undoubtedly, daily observed that ARIMA (2, 1, 1) and GARCH (1,1) are the exchange rate of one currency for another currency forms a time optimal with the highest log-likelihood and lowest AIC and series. -
Country Codes and Currency Codes in Research Datasets Technical Report 2020-01
Country codes and currency codes in research datasets Technical Report 2020-01 Technical Report: version 1 Deutsche Bundesbank, Research Data and Service Centre Harald Stahl Deutsche Bundesbank Research Data and Service Centre 2 Abstract We describe the country and currency codes provided in research datasets. Keywords: country, currency, iso-3166, iso-4217 Technical Report: version 1 DOI: 10.12757/BBk.CountryCodes.01.01 Citation: Stahl, H. (2020). Country codes and currency codes in research datasets: Technical Report 2020-01 – Deutsche Bundesbank, Research Data and Service Centre. 3 Contents Special cases ......................................... 4 1 Appendix: Alpha code .................................. 6 1.1 Countries sorted by code . 6 1.2 Countries sorted by description . 11 1.3 Currencies sorted by code . 17 1.4 Currencies sorted by descriptio . 23 2 Appendix: previous numeric code ............................ 30 2.1 Countries numeric by code . 30 2.2 Countries by description . 35 Deutsche Bundesbank Research Data and Service Centre 4 Special cases From 2020 on research datasets shall provide ISO-3166 two-letter code. However, there are addi- tional codes beginning with ‘X’ that are requested by the European Commission for some statistics and the breakdown of countries may vary between datasets. For bank related data it is import- ant to have separate data for Guernsey, Jersey and Isle of Man, whereas researchers of the real economy have an interest in small territories like Ceuta and Melilla that are not always covered by ISO-3166. Countries that are treated differently in different statistics are described below. These are – United Kingdom of Great Britain and Northern Ireland – France – Spain – Former Yugoslavia – Serbia United Kingdom of Great Britain and Northern Ireland. -
ZIMRA Rates of Exchange for Customs Purposes for Period 24 Dec 2020 To
ZIMRA RATES OF EXCHANGE FOR CUSTOMS PURPOSES FOR THE PERIOD 24 DEC 2020 - 13 JAN 2021 ZWL CURRENCY CODE CROSS RATEZIMRA RATECURRENCY CODE CROSS RATEZIMRA RATE ANGOLA KWANZA AOA 7.9981 0.1250 MALAYSIAN RINGGIT MYR 0.0497 20.1410 ARGENTINE PESO ARS 1.0092 0.9909 MAURITIAN RUPEE MUR 0.4819 2.0753 AUSTRALIAN DOLLAR AUD 0.0162 61.7367 MOROCCAN DIRHAM MAD 0.8994 1.1119 AUSTRIA EUR 0.0100 99.6612 MOZAMBICAN METICAL MZN 0.9115 1.0972 BAHRAINI DINAR BHD 0.0046 217.5176 NAMIBIAN DOLLAR NAD 0.1792 5.5819 BELGIUM EUR 0.0100 99.6612 NETHERLANDS EUR 0.0100 99.6612 BOTSWANA PULA BWP 0.1322 7.5356 NEW ZEALAND DOLLAR NZD 0.0173 57.6680 BRAZILIAN REAL BRL 0.0631 15.8604 NIGERIAN NAIRA NGN 4.7885 0.2088 BRITISH POUND GBP 0.0091 109.5983 NORTH KOREAN WON KPW 11.0048 0.0909 BURUNDIAN FRANC BIF 23.8027 0.0420 NORWEGIAN KRONER NOK 0.1068 9.3633 CANADIAN DOLLAR CAD 0.0158 63.4921 OMANI RIAL OMR 0.0047 212.7090 CHINESE RENMINBI YUANCNY 0.0800 12.5000 PAKISTANI RUPEE PKR 1.9648 0.5090 CUBAN PESO CUP 0.3240 3.0863 POLISH ZLOTY PLN 0.0452 22.1111 CYPRIOT POUND EUR 0.0100 99.6612 PORTUGAL EUR 0.0100 99.6612 CZECH KORUNA CZK 0.2641 3.7860 QATARI RIYAL QAR 0.0445 22.4688 DANISH KRONER DKK 0.0746 13.4048 RUSSIAN RUBLE RUB 0.9287 1.0768 EGYPTIAN POUND EGP 0.1916 5.2192 RWANDAN FRANC RWF 12.0004 0.0833 ETHOPIAN BIRR ETB 0.4792 2.0868 SAUDI ARABIAN RIYAL SAR 0.0459 21.8098 EURO EUR 0.0100 99.6612 SINGAPORE DOLLAR SGD 0.0163 61.2728 FINLAND EUR 0.0100 99.6612 SPAIN EUR 0.0100 99.6612 FRANCE EUR 0.0100 99.6612 SOUTH AFRICAN RAND ZAR 0.1792 5.5819 GERMANY EUR 0.0100 99.6612 -
Leadership Strategies for Managing Change in the Nigerian Banking Industry Jude Ememe Walden University
Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2017 Leadership Strategies for Managing Change in the Nigerian Banking Industry Jude Ememe Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Business Administration, Management, and Operations Commons, International Business Commons, and the Management Sciences and Quantitative Methods Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Management and Technology This is to certify that the doctoral dissertation by Jude Ememe has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. David Banner, Committee Chairperson, Management Faculty Dr. Steven Tippins, Committee Member, Management Faculty Dr. David Cavazos, University Reviewer, Management Faculty Chief Academic Officer Eric Riedel, Ph.D. Walden University 2017 Abstract Leadership Strategies for Managing Change in the Nigerian Banking Industry by Jude Ememe M. Sc. University of Lagos, 1981 B. Sc. University of Benin, 1978 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Management Walden University August 2017 Abstract The Nigerian banking system is experiencing changes brought about by globalization. Operating in a changing business environment requires that bank leaders evolve strategies to manage and adapt to change. There are direct and indirect costs associated when banks are unable to adapt to change such as bank closures, and loss of economic and business opportunities. -
Foreign Exchange Training Manual
CONFIDENTIAL TREATMENT REQUESTED BY BARCLAYS SOURCE: LEHMAN LIVE LEHMAN BROTHERS FOREIGN EXCHANGE TRAINING MANUAL Confidential Treatment Requested By Lehman Brothers Holdings, Inc. LBEX-LL 3356480 CONFIDENTIAL TREATMENT REQUESTED BY BARCLAYS SOURCE: LEHMAN LIVE TABLE OF CONTENTS CONTENTS ....................................................................................................................................... PAGE FOREIGN EXCHANGE SPOT: INTRODUCTION ...................................................................... 1 FXSPOT: AN INTRODUCTION TO FOREIGN EXCHANGE SPOT TRANSACTIONS ........... 2 INTRODUCTION ...................................................................................................................... 2 WJ-IAT IS AN OUTRIGHT? ..................................................................................................... 3 VALUE DATES ........................................................................................................................... 4 CREDIT AND SETTLEMENT RISKS .................................................................................. 6 EXCHANGE RATE QUOTATION TERMS ...................................................................... 7 RECIPROCAL QUOTATION TERMS (RATES) ............................................................. 10 EXCHANGE RATE MOVEMENTS ................................................................................... 11 SHORTCUT ............................................................................................................................... -
WM/Refinitiv Closing Spot Rates
The WM/Refinitiv Closing Spot Rates The WM/Refinitiv Closing Exchange Rates are available on Eikon via monitor pages or RICs. To access the index page, type WMRSPOT01 and <Return> For access to the RICs, please use the following generic codes :- USDxxxFIXz=WM Use M for mid rate or omit for bid / ask rates Use USD, EUR, GBP or CHF xxx can be any of the following currencies :- Albania Lek ALL Austrian Schilling ATS Belarus Ruble BYN Belgian Franc BEF Bosnia Herzegovina Mark BAM Bulgarian Lev BGN Croatian Kuna HRK Cyprus Pound CYP Czech Koruna CZK Danish Krone DKK Estonian Kroon EEK Ecu XEU Euro EUR Finnish Markka FIM French Franc FRF Deutsche Mark DEM Greek Drachma GRD Hungarian Forint HUF Iceland Krona ISK Irish Punt IEP Italian Lira ITL Latvian Lat LVL Lithuanian Litas LTL Luxembourg Franc LUF Macedonia Denar MKD Maltese Lira MTL Moldova Leu MDL Dutch Guilder NLG Norwegian Krone NOK Polish Zloty PLN Portugese Escudo PTE Romanian Leu RON Russian Rouble RUB Slovakian Koruna SKK Slovenian Tolar SIT Spanish Peseta ESP Sterling GBP Swedish Krona SEK Swiss Franc CHF New Turkish Lira TRY Ukraine Hryvnia UAH Serbian Dinar RSD Special Drawing Rights XDR Algerian Dinar DZD Angola Kwanza AOA Bahrain Dinar BHD Botswana Pula BWP Burundi Franc BIF Central African Franc XAF Comoros Franc KMF Congo Democratic Rep. Franc CDF Cote D’Ivorie Franc XOF Egyptian Pound EGP Ethiopia Birr ETB Gambian Dalasi GMD Ghana Cedi GHS Guinea Franc GNF Israeli Shekel ILS Jordanian Dinar JOD Kenyan Schilling KES Kuwaiti Dinar KWD Lebanese Pound LBP Lesotho Loti LSL Malagasy -
Financial Services Guide As Amended, Supplemented Or Updated from Time to Time
Ingenuity that bridges you with the global marketplace Product Disclosure Statement November 24, 2016 | Version 1.3 Issuer: Cambridge Mercantile (Australia) Pty. Ltd. (ACN 126642448) Address: Suite 13.02, Level 13, 35 Clarence Street Sydney, NSW, Australia Web: www.cambridgefx.com.au Phone: 1300 553 140 Fax: (02) 9262 1522 Email: [email protected] Australian Financial Services Licence Number: 351278 Table of Contents 1. Key Information – pg. 3 2. Spot Contracts – pg. 4 3. Forward Contracts – pg. 5 4. Non-Deliverable Forwards – pg. 8 5. Bids (or Market Orders) –pg. 11 6. Options –pg. 13 7. Significant benefits common to all our products –pg.20 8. Significant risks common to all our products –pg. 20 9. Are there any credit requirements prior transacting? –pg. 21 10.How we are paid, and what are the product costs? –pg. 22 11.Terms and Conditions –pg. 22 12.Providing instructions by telephone –pg. 23 13.How we handle your money –pg. 23 14.Client Monies –pg. 23 15.Stopping or cancelling a payment –pg. 23 16.Tax implications –pg. 24 17.What are our different roles? –pg. 24 18.How do we handle your personal information? –pg. 24 19.Would you like more information? –pg. 24 20.What should you do if you have a complaint? –pg. 24 21.Glossary –pg. 25 2 Cambridge | Product Disclosure Statement | 24 - 11 - 2016 1. Key Information Cambridge Mercantile (Australia) Pty. Ltd. [ACN 126642448 and Australian Financial Services License 351278] (Cambridge, us, we, our) is the issuer of the products described in this Product Disclosure Statement (PDS). -
An Empirical Study of the Foreign-Exchange Market: Test of a Theory
PRINCETON STUDIES IN INTERNATIONAL FINANCE NO. 20 An Empirical Study of the Foreign-Exchange Market: Test of a Theory Fred R. Glahe INTERNATIONAL FINANCE SECTION DEPARTMENT OF ECONOMICS PRINCETON UNIVERSITY • 1967 PRINCETON STUDIES IN INTERNATIONAL FINANCE Tms is the twentieth number in the series PRINCETON STUDIES IN INTER- NATIONAL FINANCE, published from time to time by the International Finance Section of the Department of Economics at Princeton Uni- versity. The author, Fred R. Glahe, is Assistant Professor of Economics at the University of Colorado. An article of his, "Professional and Nonprofessional Speculation, Profitability, and Stability," appeared in the July 1966 issue of THE SOUTHERN ECONOMIC JOURNAL. This series is intended to be restricted to meritorious research studies in the general field of international financial problems, which are too technical, too specialized, or too long to qualify as ESSAYS. The Section welcomes the submission of manuscripts for this series. While the Section sponsors the STUDIES, the writers are free to de- velop their topics as they will. Their ideas and treatment may or may not be shared by the editorial cominittee of the Section or the members of the Department. FErsrz MACHLUP Director Princeton University PRINCETON STUDIES IN INTERNATIONAL FINANCE NO. 20 An Empirical Study of the Foreign-Exchange Market: Test of a Theory by Fred R. Glahe INTERNATIONAL FINANCE SECTION DEPARTMENT OF ECONOMICS PRINCETON UNIVERSITY PRINCETON, NEW JERSEY 1967 Copyright © 1967, by International Finance Section Department of Economics Princeton University L.C. Card 67-24455 Printed in the United States of America by Princeton University Press at Princeton, New Jersey CONTENTS Page 1. -
Freely Floating Exchange Rates Do Not Systematically Overshoot
UC Santa Barbara Departmental Working Papers Title Freely Floating Exchange Rates Do Not Systematically Overshoot Permalink https://escholarship.org/uc/item/97m8z6hw Author Pippenger, John Publication Date 2008-02-01 eScholarship.org Powered by the California Digital Library University of California Freely Floating Exchange Rates Do Not Systematically Overshoot John Pippenger Department of Economics University of California Santa Barbara California 93106 [email protected] The exchange rate literature contains two inconsistent strands. There is a large theoretical and empirical literature on overshooting. In that literature overshooting is an important explanation for exchange rate volatility. A separate literature says that exchange rates are martingales and that models do not beat a random walk. Both can not be true. I show that the evidence for overshooting is highly suspect while the evidence that flexible exchange rates are approximately martingales is rock solid. Given the strength of the evidence, models that imply overshooting probably should be rejected out of hand. 11 February 2008 JEL Classification numbers: F3, F31 Keywords: overshooting, exchange rates, volatility, martingales The literature on exchange rates contains two mutually inconsistent strands. On the one hand there is a large theoretical and empirical literature on overshooting.1 According to that literature, overshooting is an important explanation for the volatility of exchange rates. On the other hand a large literature says that exchange rates are essentially martingales and that economic models cannot beat a random walk out of sample.2 Both of these strands can not be true. They are not both true. As shown below, the evidence for overshooting is highly suspect.