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Computational Finance Using C and C# Quantitative Finance Series Aims and Objectives • Books based on the work of financial market practitioners and academics • Presenting cutting-edge research to the professional/practitioner market • Combining intellectual rigour and practical application • Covering the interaction between mathematical theory and financial practice • Toimproveportfolioperformance,riskmanagementandtradingbookperformance • Covering quantitative techniques Market Brokers/Traders; Actuaries; Consultants; Asset Managers; Fund Managers; Regula- tors; Central Bankers; Treasury Officials; Technical Analysis; and Academics for Mas- ters in Finance and MBA market. Series Titles Computational Finance Using C and C# TheAnalytics of Risk Model Validation Forecasting Expected Returns in the Financial Markets Corporate Governance and Regulatory Impact on Mergers and Acquisitions International Mergers and Acquisitions Activity Since 1990 Forecasting Volatility in the Financial Markets, Third Edition Venture Capital in Europe Funds of Hedge Funds Initial Public Offerings Linear Factor Models in Finance Computational Finance Advances in Portfolio Construction and Implementation Advanced Trading Rules, Second Edition Real R&DOptions Performance Measurement in Finance Economics for Financial Markets Managing Downside Risk in Financial Markets Derivative Instruments: Theory, Valuation, Analysis Return Distributions in Finance Series Editor: Dr Stephen Satchell Dr Satchell is Reader in Financial Econometrics at Trinity College, Cambridge; Visiting Professor at Birkbeck College, City University Business School and Univer- sity of Technology, Sydney. He also works in a consultative capacity to many firms, andeditsthejournalDerivatives:use,tradingandregulationsandtheJournalofAsset Management. Computational Finance Using C and C# George Levy AMSTERDAM • BOSTON • HEIDELBERG • LONDON • NEW YORK OXFORD • PARIS • SAN DIEGO • SAN FRANCISCO • SINGAPORE SYDNEY • TOKYO Academic Press is an imprint of Elsevier Cover image courtesy of iStockphoto Academic Press is an imprint of Elsevier 30Corporate Drive, Suite 400, Burlington, MA 01803, USA 525BStreet, Suite 1900, San Diego, California 92101-4495, USA 84Theobald’s Road, London WC1X 8RR, UK Copyright © 2008, Elsevier Ltd. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: permissions@elsevier.com. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Levy, George. Computational Finance Using C and C# / George Levy. p. cm. – (Quantitative finance) Includes bibliographical references and index. ISBN-13: 978-0-7506-6919-1 (alk. paper) 1. Finance-Mathematical models. I. Title. HG106.L4842008 332.0285’5133-dc22 2008000470 British Library Cataloguing-in-Publication Data Acatalogue record for this book is available from the British Library. For information on all Academic Press publications visit our Web site at www.books.elsevier.com Printed in the United States of America 08091011987654321
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