Review of the Effects of the Internet on Students Annotated Bibliography

Review of the Effects of the Internet on Students - Annotated Bibliography Example The authors of this article look for the psychological aspects as to why college students are becoming addicted to the internet. They relate internet addiction to a high level of loneliness, in some cases, correlate directly. Much as other authors have stated there is more promoting the internet’s effect on students. The author explains that students who are lonely will seek out connection with strangers without actual physical interaction. However, many of these same students are, also, tremendously depressed. This article approaches the issues associated with college students pertaining to their communication skills and what promotes their internet use. Are college students more dependent on the Internet for academic or social purposes? The author found in the course of the study detailed that more students use the internet for personal or entertainment purposes that for academic or information purposes. In fact, there are a disturbing number of college students who use the internet out of loneliness, seeking attention from strangers in cyberspace. This can be a serious problem, and, potentially, in this day and age, a dangerous one. This article is pointing out that one of the major side-effects of the internet on college students includes its ability to distract students and misguide them on social levels. This source is allows a nice foundation for the history and overall understanding of the topic. This is a prime example of some ways that the internet directly has upon the students in higher education settings. Eldakak, S. (2010). Does Applying Ethics in Education Have an Effective Impact in the Classroom?. Online Submission, The author is interested in determining if the easy access to information that the internet allows has negatively impacted the ethics that once existed in the classroom. With education sometimes now entirely available online, that isolation and lack of supervision could be negatively affecting students ability to resist cheat ing or plagiarism. How can anyone be certain that the person that is supposed to taking a test is actually taking that test? In truth, at the moment, you cannot. Also, there is he consideration of what technological devices that the students may bring with them allowing them to cheat, like a cell phone and the like, which can sometimes be unfamiliar with the student’s cheating. This source is helpful in reviewing this topic because it verifies that there is a lapse of ethics that are being nudged, if not crossed, because of the freedom of information that the internet provides. The fact that the internet and our attitude towards it can become irresistible as a tool to cheat or plagiarize definitely indentifies itself as a large affect that it is having on college students. Englander, F., Terregrossa, R. A., & Wang, Z. (2010). Internet use among college students: tool or toy?. Educational Review, 62(1), 85-96. doi:10.1080/00131910903519793 This article explores how students pe rceive the internet. Is it a tool? Is it a toy? Unfortunately, it

Value at Risk (VAR) of a portfolio of 4 shares Assignment

Value at Risk (VAR) of a portfolio of 4 shares - Assignment Example This research aims to evaluate and present risks the financial institutions face with. Credit risk deals with the potential loss resulting from inability of a counterpart to adhere to its obligations. It is characterized by three basic components this being; credit exposure, loss in the event of default and probability of default. Liquidity risk is mainly caused by unforeseen outsized and stressful off-putting cash flow over a short span of time. A firm may be obliged to put up for sale some of its assets at a markdown, if it has vastly illiquid assets and suddenly requires liquidity. Market risk looks at the variations in market conditions and stipulates the uncertainties likely to occur to future earnings. Finally, operational risk includes the risk of regulatory and fraud. It mainly takes into account the errors made in settling transactions or instructing expenditure. Market risk is the most prominent; it highlights the potential economic loss as a result of a decrease in the por tfolio’s market value. Value at Risk (VaR) is the best measure that financial analyst can use to compute this risk. VaR is defined as a portfolio’s maximum potential loss value of financial instruments over a certain horizon with given probability. In this report, we are using the data obtained of four different companies. These data are composed of the total return indices of the four companies for the last ten years. VaR is a challenging statistical problem, though its existing models for calculations employ different methodologies they still follow a general structure. This structure involves three steps: a) Mark to market the portfolio, b) Approximate the distribution of returns, c) Calculate the VaR of the portfolio. The difference in the methods that are used to find VaR lie in step 2, because of the way they address the hitch of how to approximate the possible variations in the significance of the portfolio. For example, CAViaR models do not take account of the distribution matter; the quartile of the distribution is calculated directly in this case. There are a number of methods used in calculating the VaR value; in this report the main methods to be used are the Monte Carlo, Analytic and Bootstrap VAR. The report gives detailed results of all the three methodologies in a systematic manner, with data sample of a 260-day from the provided data of the portfolio shares for the four companies. The data are based on the total return index which takes into account the dividend level which is essential in valuing shares, unlike the price data sample. Background to the data sample The data are sampled from a ten year record of four individual companies, Kingfisher PLC, GKN PLC, Admiral PLC and Burberry PLC. Kingfisher PLC; is a company operating in the retail industry, founded in 1982 by Paternoster Stores Ltd. It expanded through successive acquisitions like Superdrug and B&Q. The company is a multinational now headquartered in London, UK. The c ompany provides products such as home appliances, garden supplies & plants, tools and hardware mostly home improvement products. It deals with brands such as B&Q, Brico Depot, Screwfix and Castorama. Its chain of stores is nearly 900 spread across eight countries in Asia and Europe. GKN PLC; found in the automotive and aerospace industry, its origin dates back to 1759 in the early stages of the industrial revolution. The company is a