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    Value at Risk

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    using VaR understand its problems and limitations. In this paper‚ I will explore in depth these constraints‚ which unluckily do not mark prominently. To begin with‚ the VaR estimate is founded on precedent data‚ that is‚ it uses past distribution of effects of the investment. However‚ to calculate the peril of an investment‚ it is of no concern how big this risk has been in the earlier period‚ but fairly on how much exposure there is within the existing period; therefore‚ the future distribution of

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    Functional areas Function Areas What are main activities for each Functional area Finance Producing invoices‚ checking payments are received and chasing up overdue payments Recording money received Checking and paying invoices received Preparing the payroll and paying staff salaries Monitoring departmental budgets to check managers are not overspending Issuing regular budget reports to all departmental managers Producing cash flow forecasts and regular financial reports for senior managers Advising

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    ict for rural areas

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    so on‚ as well as the various services and applications associated with them‚ such as videoconferencing and distance learning. ICT development Index The ICT Development Index (IDI) is a composite index combining 11 indicators into one benchmark value (presented on a scale from 0 to 10). The objectives of the IDI are to monitor progress in ICT developments in both developed and developing countries and to measure the evolution of the global digital divide. The IDI is divided into three categories:

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    Data Structure Reviewer

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    WEEK 1 WHAT ARE DATA STRUCTURES? WHAT ARE ALGORITHMS? REVIEW OF JAVA AND OOP ENCAPSULATION‚ INHERITANCE‚ POLYMORPHISM CLASSES METHOD INTERFACES DATA STRUCTURES In computer science‚ a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications and some are highly specialized to certain tasks. For example‚ B-trees are particularly well-suited

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    To Collect Data

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    Bachelor of Management Studies (B.M.S) Eligibility A) Passed H.S.C. examination of Maharashtra State Board of Secondary and Higher Sec- ondary Education‚ Pune or its equivalent Examination. B) Every candidate admitted to the Degree Course in the institute/affiliated college/ recognized institution conducting the course‚ shall have to register himself/herself with the University. Fees Structure FY Total Fees 16890 SY 15870 TY 15050 * Subject to revision of fees as per the directives from Director

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    Task 1: Research different functional areas‚ provide definitions of each of these functions: * Customer Servise Customer service is the provision of service to customers before‚ during and after a purchase. Customer service is a series of activities designed to enhance the level of customer satisfaction – that is‚ the feeling that a product or service has met the customer expectation. Its importance varies by products‚ industry and customer; defective or broken merchandise can be exchanged

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    Data Case

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    Group Project Berk DeMarzo Data Case chapter 10 1. Collect price information for each stock from Yahoo! Finance Professor has provided it for us. The specific data of question 2-4 is in the appendix. We only include the functions and simple answers below every question. 2. Return=(P2-P1)/P1 3. mean monthly returns‚ standard deviations for the monthly returns and annual statistics Ticker | AAPL | ADM | BA | C | CAT | DE | HSY | MOT | PG | SIRI | WMT | YHOO | Mean

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    Analysis of Data

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    Analysis of Data The researcher distributed 150 questionnaires to people and students from different schools. After collecting the papers‚ each was tallied one by one. The questionnaire has a total of Seven(7) questions each with a different set and amount of answers. One hundred(100) questionnaires were distributed in person while the Fifty(50) were answered online. The results of the survey will be explained by percentage and shown through pie chart as well along with a slight conclusion for

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    the Study 6. Motivation REVIEW OF RELATED LITERATURE AND STUDIES 1. Review of Related Literature 2. Review of Related Studies 3. Conceptual Framework 4. Operational Definition of Terms METHODOLOGY 1. Methods of Research 2. Data Gathering Techniques 3. Statistical Treatment of Data (optional) SYSTEM PRESENTATION A. Existing System 1. Company Background 2. Description of the System 3. Process Flow of the System 4. Analysis of the System B. Proposed System 1. Description of the System 2. Objectives of

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    Algorithm to Calculate Basic Feasible Solution using Simplex Method Abstract: The problem of maximization/minimization deals with choosing the ideal set of values of variables in order to find the extrema of an equation subject to constraints. The simplex method is one of the fundamental methods of calculating the Basic Feasible Solution (BFS) of a maximization/minimization. This algorithm implements the simplex method to allow for quick calculation of the BFS to maximize profit or minimize loss

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