portfolio return. b. portfolio weight. c. portfolio risk. d. rate of return. e. investment value. SYSTEMATIC RISK 3. Risk that affects a large number of assets‚ each to a greater or lesser degree‚ is called _____ risk. a. idiosyncratic b. diversifiable c. systematic d. asset-specific e. total UNSYSTEMATIC RISK 4. Risk that affects at most a small number of assets is called _____ risk. a. portfolio b. undiversifiable c. market
Premium Investment
Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
Premium Stock market Data mining
Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
Premium Data management Cloud computing
Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that
Premium Data analysis Google Data management
Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
Premium Data mining Data analysis Data management
ABSTRACT The study is set to investigate the role of employee reward system in an organization at MTRH. The objectives of the study are to examine various employee reward system used by MTRH‚ to establish the ways of managing employee reward system at MTRH‚ to determine how MTRH employee reward system has affected employees’ performance and to determine the challenges faced by MTRH in the management of its employee reward system. The target population will constitute of the director‚ 7heads
Free Maslow's hierarchy of needs Management Reward system
Services E20-007 Data Science and Big Data Analytics Exam Exam Description Overview This exam focuses on the practice of data analytics‚ the role of the Data Scientist‚ the main phases of the Data Analytics Lifecycle‚ analyzing and exploring data with R‚ statistics for model building and evaluation‚ the theory and methods of advanced analytics and statistical modeling‚ the technology and tools that can be used for advanced analytics‚ operationalizing an analytics project‚ and data visualization techniques
Premium Data analysis Statistics Data mining
(interaction and mutual responsibility) • Extrinsic reward and recognition (basic pay‚ performance pay‚ awards‚ saying ‘well done’) • Intrinsic rewards (the satisfaction from doing a worthwhile job reasonably well) • Effective remedies for under performers. Performance management levels: • Organisation • Department • Unit • Team • Individual Data collection for PM: Data is collected at four levels: • Inputs: Staff time‚ budget‚ data‚ consumables‚ energy‚ and equipment • Processes:
Premium Motivation
Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable
Free Data Data analysis Business intelligence
common law‚ for one to commit a crime and to be convicted as such‚ it must be apparent beyond all doubt that the elements of Actus Reus and Mens rea are present; this being a physical element‚ accompanied by a mental element‚ of which one has a blameworthy or culpable state of mind. British law strictly abides by the notion “Actus non facit reum‚ nisi mens sit rea” Nonetheless‚ when culpable of a crime‚ it is questionable as to such‚ whether one has a guilty mind‚ with one querying whether the accused
Premium Criminal law Crime Law