Stock-Trading Simulations As a Resource for Management Instructors
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Simulating Portfolios by Using Models of Social Networks
UNIVERSITY OF LJUBLJANA FACULTY OF ECONOMICS Matjaž Steinbacher SIMULATING PORTFOLIOS BY USING MODELS OF SOCIAL NETWORKS Doctoral Dissertation Ljubljana, 2012 AUTHORSHIP STATEMENT The undersigned MATJAŽ STEINBACHER, a student at the University of Ljubljana, Faculty of Economics, (hereafter: FELU), declare that I am the author of the doctoral dissertation entitled SIMULATING PORTFOLIOS BY USING MODELS OF SOCIAL NETWORKS, written under supervision of Dr. HARRY M. MARKOWITZ. In accordance with the Copyright and Related Rights Act (Official Gazette of the Republic of Slovenia, Nr. 21/1995 with changes and amendments) I allow the text of my doctoral dissertation to be published on the FELU website. I further declare • the text of my doctoral dissertation to be based on the results of my own research; • the text of my doctoral dissertation to be language-edited and technically in adherence with the FELU’s Technical Guidelines for Written Works which means that I o cited and / or quoted works and opinions of other authors in my doctoral dissertation in accordance with the FELU’s Technical Guidelines for Written Works and o obtained (and referred to in my doctoral dissertation) all the necessary permits to use the works of other authors which are entirely (in written or graphical form) used in my text; • to be aware of the fact that plagiarism (in written or graphical form) is a criminal offence and can be prosecuted in accordance with the Copyright and Related Rights Act (Official Gazette of the Republic of Slovenia, Nr. 21/1995 with changes and amendments); • to be aware of the consequences a proven plagiarism charge based on the submitted doctoral dissertation could have for my status at the FELU in accordance with the relevant FELU Rules on Doctoral Dissertation. -
Securities Regulation in a Virtual World
UCLA UCLA Entertainment Law Review Title Securities Regulation in a Virtual World Permalink https://escholarship.org/uc/item/8dx7t149 Journal UCLA Entertainment Law Review, 16(1) ISSN 1073-2896 Author Thompson, Shannon L. Publication Date 2009 DOI 10.5070/LR8161027122 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Securities Regulation in a Virtual World Shannon L. Thompson* I. INTRODUCTION ........................................... 90 II. VIRTUAL W ORLDS ....................................... 90 A. What Is a Virtual World? ............................ 90 B. The Virtual World of Second Life .................... 92 1. The Economy of Second Life .................... 93 2. The "Securities" Markets of Second Life ........ 94 III. Do REAL WORLD SECURITIES LAWS APPLY TO VIRTUAL . W ORLD "SECURITIES" . 98 A. Is Virtual "Stock" Really Stock? ..................... 99 B. Does Virtual Stock Qualify as a Security Under the Investment Contract Rubric? ......................... 101 1. The Howey Test for Investment Contracts ....... 101 2. Applying the Howey Test to Virtual Stock ....... 103 i. Investment of Money ......................... 103 ii. Common Enterprise ......................... 103 iii. Expectation of Profits Derived Solely From the Efforts of Others ......................... 104 C. Just a Game or a Real Investment? .................. 105 1. SEC v. SG Ltd ................................... 105 2. Gambling or Investing? .......................... 108 IV. SHOULD THE SEC REGULATE VIRTUAL WORLD . SECURITIES? 110 A. Real World Registration Costs Outweigh the Benefits of Virtual Offerings .................................. 111 B. Regulation Will Stifle Valuable Research Opportunities ........................................ 112 C. Self-Regulation May Be Sufficient .................... 114 * B.A., B.S., University of Florida, 2001, J.D., Florida State University College of Law, expected 2009. The Author thanks Professor Barbara Banoff for her valuable comments on an earlier draft of this Article. -
Marketwatch Virtual Stock Exchange
Analysis: MarketWatch Virtual Stock Exchange 1. EXECUTIVE SUMMARY Key takeaways: ● VSE has been around longer than most competitors ● Heavily supported by MarketWatch and Dow Jones network ○ Dow Jones (especially WSJ) has excellent advertising capabilities ○ MarketWatch provides high-quality news feed content ○ MarketWatch VSE game is “lumped into” MarketWatch generally for advertising purposes ■ VSE probably receives very little standalone attention from corporate owners (or even advertisers, who are only choosing MarketWatch “generally” for advertising purposes) ○ Dow Jones Media Group was formed in 2016 to focus more/better on digital advertising and millennial demographic ● VSE banner advertising brings in revenue, but game does not ○ Opportunity to position as “loss leader”? ● Website traffic ○ Mostly US (not surprising since game trades only US stocks) ○ Page and domain referrals largely come from within Dow Jones network ■ VSE experienced a big jump in referring domains and pages in 2016, which is the same year that Dow Jones Media Group was formed ○ Some game pages get (or got, while they were still active) far more traffic than the main VSE page ○ Note: I’m not a website traffic expert, so perhaps your programmers will infer other takeaways from the website traffic data that I missed ● General user sentiment seems to be that VSE is best for learning or academic settings, but not super fun as a “game” ○ More engaging in group settings (for bragging rights) but not very engaging to use as a single individual ● Recurring user complaint -
Stock Market Simulation and Analysis DZT-1003
Stock Market Simulation and Analysis DZT-1003 An Interactive Qualifying Project Report Submitted to the Faculty of Worcester Polytechnic Institute in partial fulfillment of the requirements for the Degree of Bachelor of Science By Toby Callahan Nandakumar Iyer Date: July 6, 2010 Advisor: Professor Dalin Tang 1 Abstract Among numerous investment strategies in the stock market, this stock market simulation focused on the conservative strategy of John Bogle, which states that stock trading is a losing game and investment in index funds is a more profitable strategy. The theory was tested by comparing the performance of an actively managed portfolio in an online simulator to index funds approximating the market. The outcome was a draw, with both active and passive strategies resulting in depreciation over a down market. 2 Table of Contents Abstract ............................................................................................................................... 2 Table of Contents ................................................................................................................ 3 List of Figures ..................................................................................................................... 5 List of Tables ...................................................................................................................... 6 Chapter One: Introduction .................................................................................................. 7 1.1: Goals and Overview ............................................................................................... -
Communication Cole Robert Willcutt Worcester Polytechnic Institute
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DigitalCommons@WPI Worcester Polytechnic Institute Digital WPI Interactive Qualifying Projects (All Years) Interactive Qualifying Projects September 2018 Communication Cole Robert Willcutt Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/iqp-all Repository Citation Willcutt, C. R. (2018). Communication. Retrieved from https://digitalcommons.wpi.edu/iqp-all/5162 This Unrestricted is brought to you for free and open access by the Interactive Qualifying Projects at Digital WPI. It has been accepted for inclusion in Interactive Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact [email protected]. Project Number: DTZ 1713 An Interactive Qualifying Project Report: Submitted to the Faculty of WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Bachelor of Science By Cole Willcutt _____________________________ Submitted: September 3, 2018 Approved by Professor Dalin Tang, Project Advisor ___________________________________________ Abstract This project is a four-week simulation the stock market. The goal of this project is to inform the participant about the stock market by gaining experience through a real-time simulation. This project analyzed current market trends, assessed the viability of two distinct trading techniques, and ran simulations on three selected companies with a total investment of $100,000 per method. Results from this project showed that Swing Trading was a much more profitable method when compared to passive trading. This project allowed the participant to gain relevant trading experience that he will use to benefit himself when investing in the future. -
Stock Market Simulation
Project Number: DZT-0804 STOCK MARKET SIMULATION An Interactive Qualifying Project Report: Submitted to the faculty of Worcester Polytechnic Institute In partial fulfillment of the requirements for The Degree of Bachelor of Science By ________________________ ______________________ Karan Arora Mark Brodaski ________________________ ______________________ Ralph Campanelli Edward Chau ________________________ ______________________ Corey Feeley Michal Parzych Approved by Project Advisor: Dalin Tang __________________________ Date: March 6, 2009 i Abstract During this project the group performed a ten-week stock market simulation in which they experimented with different investing strategies to learn how to navigate the stock market. They researched six different investing and trading methods in order to better understand investing. The experience gained from this project will help them become better investors in the future and help them manage their personal finances wisely. ii Acknowledgements We would like to thank Professor Dalin Tang for providing guidance and proofreading the many drafts of this report. In addition, Investopedia deserves thanks for providing the great simulator we used to trade our stocks and manage our portfolios. Mark Brodaski also deserves to be acknowledged for volunteering to compile the report each week and correct formatting errors. iii Table of Contents Abstract ---------------------------------------------------------------------------------------------- ii Acknowledgements -------------------------------------------------------------------------------- -
Stock Market Simulation
Project Number: DZT-0901 STOCK MARKET SIMULATION An Interactive Qualifying Project Report: Submitted to the faculty of Worcester Polytechnic Institute In partial fulfillment of the requirements for The Degree of Bachelor of Science By ________________________ ______________________ John Austin Margaret Allard ________________________ ______________________ William Barges Chunwei Kuo Approved by Project Advisor: Dalin Tang __________________________ Date: December 17, 2009 Abstract The objectives of this project were to research and explain the fundamentals of the stock market and to practice the skills necessary to make successful trades within the market. A four member team investigated the creation of the modern stock market, the histories of NYSE and NASDAQ, and the political factors that affect the stock market. Members also performed an eight-week stock market simulation, each specializing in a particular trading strategy and sector of the market. One member used fundamental analysis investing with a diverse portfolio; another used company history and projected growth to invest in the life sciences, the third member used historical analysis to invest in the gaming industry, and the last member used the income and growth strategies to invest specifically in shoe manufacturing and technology companies. Only the portfolio that focused upon the gaming industry produced a profit, while the other portfolios lost money. The results indicated that (a) companies that respond to customer feedback tend to succeed; (b) the gaming industry is running at full steam and that now is a good time to invest; (c) basing your trading decisions on the quality of a product or service is only useful in some sectors, like technology, while it is less useful in other sectors, like banking; and (d) finally, it was concluded that investing in the life sciences is a risky venture, because developing technology is kept far from the investors’ evaluation and loss of FDA approval can cause unpredictable and devastating losses in stock value.