...INTEREST RATE RISK MANAGEMENT: DEVELOPMENTS IN INTEREST RATE TERM STRUCTURE MODELING FOR RISK MANAGEMENT AND VALUATION OF INTEREST-RATE-DEPENDENT CASH FLOWS Andrew Ang* and Michael Sherris† ABSTRACT This paper surveys the main concepts and techniques of recent developments in the modeling of the term structure of interest rates that are used in the risk management and valuation of interest-rate-dependent cash flows. These developments extend the concepts of immunization and matching to a stochastic interest rate environment. Such cash flows include the cash flows on assets such as bonds and mortgage-backed securities as well as those for annuity products, life insurance products with interest-rate-sensitive withdrawals, accrued liabilities for definedbenefit pension funds, and property and casualty liability cash flows. 1. INTRODUCTION The aim of this paper is to discuss recent developments in interest rate term structure modeling and the application of these models to the interest rate risk management and valuation of cash flows that are dependent on future interest rates. Traditional approaches to risk management and valuation are based on the concepts of immunization and matching of cash flows. These ideas were pioneered in the actuarial profession by the British actuary Frank Redington (1952). Interest rates have long been recognized as important to the risk management of insurance liabilities. Recent developments have incorporated a stochastic approach to modeling interest...
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...This page intentionally left blank A Course in Financial Calculus A Course in Financial Calculus Alison Etheridge University of Oxford CAMBRIDGE UNIVERSITY PRESS Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo Cambridge University Press The Edinburgh Building, Cambridge CB2 8RU, UK Published in the United States of America by Cambridge University Press, New York www.cambridge.org Information on this title: www.cambridge.org/9780521890779 © Cambridge University Press 2002 This publication is in copyright. Subject to statutory exception and to the provision of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published in print format 2002 eBook (EBL) ISBN-13 978-0-511-33725-3 ISBN-10 0-511-33725-6 eBook (EBL) ISBN-13 ISBN-10 paperback 978-0-521-89077-9 paperback 0-521-89077-2 Cambridge University Press has no responsibility for the persistence or accuracy of urls for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or appropriate. Contents Preface 1 Single period models Summary 1.1 Some definitions from finance 1.2 Pricing a forward 1.3 The one-step binary model 1.4 A ternary model 1.5 A characterisation of no arbitrage 1.6 The risk-neutral probability measure Exercises Binomial trees and discrete parameter martingales...
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...International Journal of Humanities and Social Science Vol. 1 No. 7[Special Issue –June 2011] Occupational Stress of Teachers: A Comparative Study Between Turkey and Macedonia Dr. Figen Eres Assistant Professor Department of Educational Science Gazi University, Ankara Turkey E-mail: feres@gazi.edu.tr, Phone: +903124844631 Dr. Tatjana Atanasoska Assistant Professor Department of Education University of St. Kliment Ohridski, Macedonia E -mail: t.atanasoska@pfbt.uklo.edu.mk, Phone: +38970853624 Abstract The aim of the study is to determine the stress level of Turkish and Macedonian teachers living in different socio-cultural and economic situations. The scale used in the study has been developed by researches. 416 Turkish teachers and 213 Macedonian teachers have participated in the study. At the end of the study it was seen that Turkish teachers have mild stress levels and Macedonian teachers have moderate stress levels. There is a meaningful difference in the stress level points of Turkish and Macedonian teachers. Policy makers are advised to analyse the teacher training and assessment system with the assumption that personal and social characteristics and working conditions may have an effect on teacher stress. Implications for further research are also discussed. Keywords: Teacher stress, primary education teachers, Macedonia, Turkey 1.Introduction Stress is the abnormal reaction that the organism displays against threating environmental elements. (Luthans, 1994)...
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...Psychiatry University of London London, U.K. CHAPMAN & HALL/CRC Boca Raton London New York Washington, D.C. Library of Congress Cataloging-in-Publication Data Catalog record is available from the Library of Congress This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage or retrieval system, without prior permission in writing from the publisher. The consent of CRC Press LLC does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific permission must be obtained in writing from CRC Press LLC for such copying. Direct all inquiries to CRC Press LLC, 2000 N.W. Corporate Blvd., Boca Raton, Florida 33431. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation, without intent to infringe. Visit the CRC Press Web site at www.crcpress.com © 2002 by Chapman & Hall/CRC No claim to original U.S. Government...
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...A FIRST COURSE IN PROBABILITY This page intentionally left blank A FIRST COURSE IN PROBABILITY Eighth Edition Sheldon Ross University of Southern California Upper Saddle River, New Jersey 07458 Library of Congress Cataloging-in-Publication Data Ross, Sheldon M. A first course in probability / Sheldon Ross. — 8th ed. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-13-603313-4 ISBN-10: 0-13-603313-X 1. Probabilities—Textbooks. I. Title. QA273.R83 2010 519.2—dc22 2008033720 Editor in Chief, Mathematics and Statistics: Deirdre Lynch Senior Project Editor: Rachel S. Reeve Assistant Editor: Christina Lepre Editorial Assistant: Dana Jones Project Manager: Robert S. Merenoff Associate Managing Editor: Bayani Mendoza de Leon Senior Managing Editor: Linda Mihatov Behrens Senior Operations Supervisor: Diane Peirano Marketing Assistant: Kathleen DeChavez Creative Director: Jayne Conte Art Director/Designer: Bruce Kenselaar AV Project Manager: Thomas Benfatti Compositor: Integra Software Services Pvt. Ltd, Pondicherry, India Cover Image Credit: Getty Images, Inc. © 2010, 2006, 2002, 1998, 1994, 1988, 1984, 1976 by Pearson Education, Inc., Pearson Prentice Hall Pearson Education, Inc. Upper Saddle River, NJ 07458 All rights reserved. No part of this book may be reproduced, in any form or by any means, without permission in writing from the publisher. Pearson Prentice Hall™ is a trademark of Pearson Education, Inc...
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...UNIVERSITY OF KERALA B. TECH DEGREE COURSE 2008 SCHEME ELECTRICAL AND ELECTRONICS ENGINEERING I to VIII SEMESTER SCHEME AND SYLLABUS BOARD OF STUDIES IN ENGINEERING AND FACULTY OF ENGINEERING AND TECHNOLOGY UNIVERSITY OF KERALA B.Tech Degree Course – 2008 Scheme REGULATIONS 1. Conditions for Admission Candidates for admission to the B.Tech degree course shall be required to have passed the Higher Secondary Examination, Kerala or 12th Standard V.H.S.E., C.B.S.E., I.S.C. or any examination accepted by the university as equivalent thereto obtaining not less than 50% in Mathematics and 50% in Mathematics, Physics and Chemistry/ Bio- technology/ Computer Science/ Biology put together, or a diploma in Engineering awarded by the Board of Technical Education, Kerala or an examination recognized as equivalent thereto after undergoing an institutional course of at least three years securing a minimum of 50 % marks in the final diploma examination subject to the usual concessions allowed for backward classes and other communities as specified from time to time. 2. Duration of the course i) The course for the B.Tech Degree shall extend over a period of four academic years comprising of eight semesters. The first and second semester shall be combined and each semester from third semester onwards shall cover the groups of subjects as given in the curriculum and scheme of examination ii) Each semester shall ordinarily comprise of not less than 400 working periods each of 60 minutes...
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...NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR Bachelor of Technology Programmes amï´>r¶ JH$s g§ñWmZ, m¡Úmo{ à VO o pñ Vw dZ m dY r V ‘ ñ Syllabi and Regulations for Undergraduate PROGRAMME OF STUDY (wef 2012 entry batch) Ma {gb Course Structure for B.Tech (4years, 8 Semester Course) Civil Engineering ( to be applicable from 2012 entry batch onwards) Course No CH-1101 /PH-1101 EE-1101 MA-1101 CE-1101 HS-1101 CH-1111 /PH-1111 ME-1111 Course Name Semester-1 Chemistry/Physics Basic Electrical Engineering Mathematics-I Engineering Graphics Communication Skills Chemistry/Physics Laboratory Workshop Physical Training-I NCC/NSO/NSS L 3 3 3 1 3 0 0 0 0 13 T 1 0 1 0 0 0 0 0 0 2 1 1 1 1 0 0 0 0 4 1 1 0 0 0 0 0 0 2 0 0 0 0 P 0 0 0 3 0 2 3 2 2 8 0 0 0 0 0 2 2 2 2 0 0 0 0 0 2 2 2 6 0 0 8 2 C 8 6 8 5 6 2 3 0 0 38 8 8 8 8 6 2 0 0 40 8 8 6 6 6 2 2 2 40 6 6 8 2 Course No EC-1101 CS-1101 MA-1102 ME-1101 PH-1101/ CH-1101 CS-1111 EE-1111 PH-1111/ CH-1111 Course Name Semester-2 Basic Electronics Introduction to Computing Mathematics-II Engineering Mechanics Physics/Chemistry Computing Laboratory Electrical Science Laboratory Physics/Chemistry Laboratory Physical Training –II NCC/NSO/NSS Semester-4 Structural Analysis-I Hydraulics Environmental Engg-I Structural Design-I Managerial Economics Engg. Geology Laboratory Hydraulics Laboratory Physical Training-IV NCC/NSO/NSS Semester-6 Structural Design-II Structural Analysis-III Foundation Engineering Transportation Engineering-II Hydrology &Flood...
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...UNIVERSITY OF KERALA B. TECH. DEGREE COURSE 2008 ADMISSION REGULATIONS and I VIII SEMESTERS SCHEME AND SYLLABUS of COMPUTER SCIENCE AND ENGINEERING B.Tech Comp. Sc. & Engg., University of Kerala 2 UNIVERSITY OF KERALA B.Tech Degree Course – 2008 Scheme REGULATIONS 1. Conditions for Admission Candidates for admission to the B.Tech degree course shall be required to have passed the Higher Secondary Examination, Kerala or 12th Standard V.H.S.E., C.B.S.E., I.S.C. or any examination accepted by the university as equivalent thereto obtaining not less than 50% in Mathematics and 50% in Mathematics, Physics and Chemistry/ Bio- technology/ Computer Science/ Biology put together, or a diploma in Engineering awarded by the Board of Technical Education, Kerala or an examination recognized as equivalent thereto after undergoing an institutional course of at least three years securing a minimum of 50 % marks in the final diploma examination subject to the usual concessions allowed for backward classes and other communities as specified from time to time. 2. Duration of the course i) The course for the B.Tech Degree shall extend over a period of four academic years comprising of eight semesters. The first and second semester shall be combined and each semester from third semester onwards shall cover the groups of subjects as given in the curriculum and scheme of examination ii) Each semester shall ordinarily comprise of not less than 400 working periods each of 60 minutes duration...
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...Modelling Football Data By Renzo Galea A Dissertation Submitted in Partial Fulfilment of the Requirements For the Degree of Bachelor of Science (Honours) Statistics and Operations Research as main area DEPARTMENT OF STATISTICS AND OPERATIONS RESEARCH FACULTY OF SCIENCE UNIVERSITY OF MALTA MAY 2011 Declaration of Authorship I, Renzo Galea 25889G, declare that this dissertation entitled: “Modelling Football Data”, and the work presented in it is my own. I confirm that: (1) This work is carried out under the auspices of the Department of Statistics and Operations Research as part fulfillment of the requirements of the Bachelor of Science (Hons.) course. (2) Where any part of this dissertation has previously been submitted for a degree or any other qualification at this university or any other institution, this has been clearly stated. (3) Where I have used or consulted the published work of others, this is always clearly attributed. (4) Where I have quoted from the works of others, the source is always given. With the exception of such quotations, this dissertation is entirely my own work. (5) I have acknowledged all sources used for the purpose of this work. Signature: _______________________ Date: _______________________ Abstract Renzo Galea, B.Sc. (Hons.) Department of Statistics & Operations Research May 2011 University of Malta The main goal of this dissertation is to investigate the Bayesian modelling performance for ...
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...Deep Learning more at http://ml.memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.1 Network function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.2 Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Learning paradigms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.4 Learning algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Employing artificial neural networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.1 Real-life applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.2 Neural networks and neuroscience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.6 Neural network software ...
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...Foundations of Machine Learning Adaptive Computation and Machine Learning Thomas Dietterich, Editor Christopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns, Associate Editors A complete list of books published in The Adaptive Computations and Machine Learning series appears at the back of this book. Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar The MIT Press Cambridge, Massachusetts London, England c 2012 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please email special sales@mitpress.mit.edu or write to Special Sales Department, The MIT Press, 55 Hayward Street, Cambridge, MA 02142. A This book was set in L TEX by the authors. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Mohri, Mehryar. Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar. p. cm. - (Adaptive computation and machine learning series) Includes bibliographical references and index. ISBN 978-0-262-01825-8 (hardcover : alk. paper) 1. Machine learning. 2. Computer algorithms. I. Rostamizadeh, Afshin. II...
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...Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor: Jim Gray, Microsoft Research Data Mining: Practical Machine Learning Tools and Techniques, Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials, Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database Modeling with Microsoft® Visio for Enterprise Architects Terry Halpin, Ken Evans, Patrick Hallock, and Bill Maclean Designing Data-Intensive Web Applications Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, and Maristella Matera Mining the Web: Discovering Knowledge from Hypertext Data Soumen Chakrabarti Understanding SQL and Java Together: A Guide to SQLJ, JDBC, and Related Technologies Jim Melton and Andrew Eisenberg Database: Principles, Programming, and Performance, Second Edition Patrick O’Neil and Elizabeth O’Neil The Object Data Standard: ODMG 3.0 Edited by R. G. G. Cattell, Douglas K. Barry, Mark Berler, Jeff Eastman, David Jordan, Craig Russell, Olaf Schadow, Torsten Stanienda, and Fernando Velez Data on the Web: From Relations to Semistructured Data and XML Serge Abiteboul, Peter Buneman, and Dan Suciu Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations Ian H. Witten and Eibe Frank ...
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