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    Tort Law Lecture 1 Pre-lecture Lecture Preparation: Do the assigned readings before the lecture  get most out of the lecture Know extracts of case  know what happen Terminologies and definition Read ‘lecture outlines’ for reading assignments Review notes from previous lecture 5-10 minutes before lecture Read learning outcomes to understand lecture objectives Readings and lectures don’t perfectly overlap‚ do both Bring the book to each class For instructions on marking your book see

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    Capm, Risk and Beta

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    Part 1 ’’ A Measurement of Risk 1.1 Risk 1.2 Capital Asset Pricing Model The estimation of systematic risk (or ‘beta’) is central to the implementation of the capital asset pricing model (CAPM) for researchers and practitioners. Markowitz (1952) argued that investors should be concerned with holding efficient portfolios‚ that is‚ a portfolio offering the highest expected return for each level of risk. Sharpe (1964) and Lintner (1965) took Markowitz’s work one step further to develop the CAPM

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    Writing stories with dark twist and unlucky characters is how Jackson set the mood and tone of the story‚ however she does this with a couple of literary tools such as repeating phrases over and over again. In the story “The Tooth” an example of this is when Clara keeps telling her husband “I feel so funny” [Jackson 207]. By having Clara repeat this throughout the story it is foreshadowing that something bad is going to happen to her. Along with foreshadowing her inevitable bad luck coming her way

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    Pak. J. Commer. Soc. Sci. 2012 Vol. 6 (2)‚ 297-307 Testing the Weak Form Efficiency of Karachi Stock Exchange Muhammad Arshad Haroon Assistant Professor of Commerce‚ Government Sindh College of Commerce and Post‚ Graduate Center‚ Hyderabad‚ Adjunct Assistant Professor of Commerce‚ Isra University‚ Hala Nakka‚ Hyderabad‚ Pakistan E-mail: arshad.haroon@isra.edu.pk Abstract In an efficient market‚ share prices reflect all available information. The study of efficient market hypothesis helps to take

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    Routing for Wireless Networks‚” in Proc. ACM Conference of the Special Interest Group on Data Communication (SIGCOMM)‚ Philadelphia‚ PA‚ USA‚ August 2005‚ pp. 133–144. [2] S. Chachulski‚ M. Jennings‚ S. Katti‚ and D. Katabi‚ “Trading Structure for Randomness in Wireless Opportunistic Routing‚” in Proc. ACM Conference of the Special Interest Group on Data Communication (SIGCOMM)‚ Kyoto‚ Japan‚ August 2007‚ pp. 169–180. [3] I. Chlamtac‚ M. Conti‚ and J.-N. Liu‚ “Mobile Ad hoc Networking: Imperatives and

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    52 6020 T AX E VASION AND T AX C OMPLIANCE Luigi Alberto Franzoni University of Bologna‚ Italy © Copyright 1999 Luigi Alberto Franzoni Abstract This chapter offers an overview of the theoretical and empirical research on tax evasion‚ delineating the variety of factors affecting noncompliance and examining possible remedies. Particular emphasis is placed on the institutional and procedural rules governing the tax enforcement policy. JEL classification: K34 Keywords: Tax Enforcement

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    machinery and society and that when we communicate‚ we are not essentially different than machines. As humans‚ we have a tendency to want to maintain organization in society. Using information in order to control and counteract entropy does this: the randomness or disorganization within a system that has a natural way of increasing over time. Weiner (1954) states that we do this in order to maintain the balance of patterns that messages create for us. Humans and machinery detect these patterns through

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    The unstructured problem usually faced by the upper level manager. This happen because the lower level manager handle the routine decision themselves and let the upper level manager deal with the decision they find unusual or difficult. The table below will shows us the different between programmed and non-programmed decisions. Characteristic Programmed Decision Nonprogrammed Decision Type of problem Structured Unstructured Managerial level Lower level Upper level Frequency Repetitive‚ routine

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    in the yard is made of soil. When soil gets dirty‚ then its called dirt. I asked him how deep the very deepest part of the ocean was. His initial reply was 5ft. When I asked if that was it? Just 5ft? He said‚ “or 176ft”. I was very amused by the randomness of that answer. I believe his initial answer was based off of previous experiences in the pool. He knows that he cannot go into the 5ft alone because it is too deep so when asked about depth and water‚ his only reference was the 5ft pool. When asked

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    The randomness of their order leads scholars such as Northrop Frye to question their validity in accurately capturing real life happenings (Fleperin‚ 96). The publisher who replicated the sonnets in 1640 actually changed the pronouns in sonnets 15 through 126

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