RISK MANAGEMENT PRACTICES IN THE AIRLINE INDUSTRY by Sharon Fernando PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS In the Faculty of Business Administration Financial Risk Management O Sharon Fernando 2006 SIMON FRASER UNIVERSITY Summer 2006 All rights reserved. This work may not be reproduced in whole or in part‚ by photocopy or other means‚ without permission of the author. APPROVAL Name: Sharon Fernando Degree: Master of Arts Title of Project:
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by finding the partial derivatives of the utility function. 1.1.2 Example: testing for convexity with a Cobb-Douglas utility function A Cobb-Douglas utility function has the form u(x1 ‚ x2 ) = xa xb where a > 0 and b > 0. Here u(x1 ‚ x2 ) = 12 2/5 3/5 x1 x2 . Assuming that x1 > 0 and x2 > 0 the partial derivatives are ∂u ∂x1 ∂u ∂x2 = = 2 −3/5 3/5 x2 > 0 x 51 3 2/5 −2/5 > 0. xx 51 2 (1) (2) You should note that because the partial derivatives are both strictly1 positive
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LINK TECHNOLOGIES1 Link Technologies‚ a small firm located in San Jose‚ California‚ is currently engaged in the development‚ manufacture‚ and sale of high-speed fax modems for use in personal computers. The company was created in 1980 by Mr. James Lee‚ a researcher who was employed at IBM’s T.J. Watson research center‚ and two former graduate school classmates from Cornell University. At the time‚ the personal computer business was in its infancy‚ and the company sought to fill a niche by providing
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Appendix A Derivatives AACSB assurance of learning standards in accounting and business education require documentation of outcomes assessment. Although schools‚ departments‚ and faculty may approach assessment and its documentation differently‚ one approach is to provide specific questions on exams that become the basis for assessment. To aid faculty in this endeavor‚ we have labeled each question‚ exercise‚ and problem in Intermediate Accounting‚ 7e‚ with the following AACSB learning skills:
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price has fallen recently due to concerns of investors and analysts about the heavy use of the entity of interest rate derivatives. Dick Lodge‚ chief investment officer in charge of the bank’s investments and derivatives portfolio‚ the Director General shall recommend a plan of action to allay the fears of investors to the market and communicate the reasons for Banc One use of derivatives. The Bank uses interest rate swaps to manage its earnings sensitivity to changes in interest rates and attractive
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completion of this course should enable you to: differentiate all the usual algebraic and transcendental functions and combinations thereof find elementary antiderivatives and do several applications sketch curves using derivatives‚ symmetry‚ asymptotes‚ etc. apply the derivative in solving word problems such as approximations‚ related rates‚ optimization‚ growth and decay EVALUATION: Midterm exams Assignments Final Exam 45% (two at 22.5% each) 15% 40% Note: It is departmental policy that a
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MATHEMATICAL METHODS PARTIAL DIFFERENTIAL EQUATIONS I YEAR B.Tech By Mr. Y. Prabhaker Reddy Asst. Professor of Mathematics Guru Nanak Engineering College Ibrahimpatnam‚ Hyderabad. SYLLABUS OF MATHEMATICAL METHODS (as per JNTU Hyderabad) Name of the Unit Unit-I Solution of Linear systems Unit-II Eigen values and Eigen vectors Name of the Topic Matrices and Linear system of equations: Elementary row transformations – Rank – Echelon form‚ Normal form – Solution of Linear Systems
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From there‚ banks sold derivatives on all portfolios by synthetic investment. Investors were able to invest in credit default swap and make it grow. Credit then became a more available asset which stroke employment. Now all banks wanted credit derivatives; which are privately held negotiable contracts that allow consumers to manage their exposure to credit risk. The main problem with this was they assumed risk could be eliminated‚ but it couldn’t. In order to regulate derivatives‚ Congress passed the
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X 410 “Business Applications of Calculus” PROBLEM SET 1 [100 points] PART I As manager of a particular product line‚ you have data available for the past 11 sales periods. This data associates your product line’s units sold “x” and total PROFIT “P” results for these sales periods. Product Red03 Units [x] Profit [P] 10 20 100 130 190 240 300 320 380 430 500 -33986 -31792 -9200 790 21418 37728 54000 58208 65840 65050 50000 1 Section A: 1st Order Model
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1998–2000 Last modified on February 12‚ 2000 at 10:00 AM Contents 13.1 Introduction . . . . . . . . . . . . . . 13.2 First-Derivative Methods . . . . . . . 13.2.1 Roberts Kernels . . . . . . . . . 13.2.2 Kirsch Compass Kernels . . . . 13.2.3 Prewitt Kernels . . . . . . . . . 13.2.4 Sobel Kernels . . . . . . . . . . 13.2.5 Edge Extraction . . . . . . . . . 13.3 Second-Derivative Methods . . . . . . 13.3.1 Laplacian Operators . . . . . . . 13.3.2 Laplacian of Gaussian Operators 13.3.3 Difference of Gaussians
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