What is Monte Carlo simulation? Answer: Monte Carlo simulation is a technique that allows people to run simulation many times to obtain numerical results or distribution of an unknown probabilistic entity. It was invented by Stanislaw Ulam in the late 1940s at the Los Alamos National Laboratory and was named after the Monte Carlo Casino where Ulam’s uncle often gambled [1]. Why is it used in analysis (generally)? Answer: Monte Carlo simulation is a very flexible technique and could easily be adapted
upset). In addition, the process variation introduced in the fabrication process is also a big challenge for circuit designers because it makes the same circuit show different characteristics. Moreover, to reduce power consumption of the circuit, the method of reducing supply voltage to near threshold region is used, which is anticipated to have more effects on the reliability of the circuit. So the relationship between
estimate method have been used through cost-benefit analysis in order to clarify the uncertainties in a decision planning. Since all projects are vulnerable to degrees of uncertainties concerning cost, schedule and output price, traditional deterministic cost-benefit analysis does not provide sufficient information. Therefore, Monte Carlo simulation method is popularly used to measure the value at risk (VaR). Value-at-risk and the Monte Carlo simulation VaR is a methodology developed by the finance industry
motivates me to further my academic pursuit and hence apply to MSc in Accounting and Finance at the Stockholm School of Economics. My formal learning of the financial industry began at McGill University where I am currently completing an undergraduate degree in Economics and Finance. At McGill, I was exposed to various segments of finance such as Investment Management, Real Estate Finance and Corporate finance. However, I am primarily interested in asset management, especially the use of derivatives
The Authors studied why valuation estimates are likely to be biased estimates of market values due to clients' influence. The studies were done on the behaviors of clients in the UK, USA, and New Zealand. The authors pointed out that the information found has made a significant contribution to real estate literature, but the purpose of this research was to examine the prevalence of client influence and the impact on valuation in Nigeria. The survey found that nearly 80 percent of estate surveyors
Introduction Purchasing Power Parity (PPP) is one of the most important theories for determining exchange rate in the international finance. PPP is coined by Gustav Cassel in 1918, and this concept had been discussed by various economists. PPP theory explains that the change in the exchange rate between two currencies should be equal to the national price level when converted in a common currency; hence, a unit of one currency of the country will have the equal purchasing power in a foreign country
REVIEW OF THE LITERATURE Veterans are overrepresented among the homeless population in the United States at 40% as it relates to poverty (Fargo, et al. 2012). Research indicates that poverty, lack of support networks, mental illnesses, finances, childhood experiences, substance abuse, and overcrowded or substandard housing are some factors that contribute to homelessness among veterans. Additionally, study shows that homelessness among veterans is at a higher percentage in the categories of
28(7), 650-662. doi: 10.1016/j.ijproman.2009.11.002 Perrin, R. (2008). Real world project management: beyond conventional wisdom, best practices, and project methodologies. Hoboken, N.J: John Wiley & Sons. Rajabalinejad, M. (2010). Bayesian Monte Carlo method. Reliability Engineering and System Safety, 95(10), 1050-1060. doi: 10.1016/j.ress.2010.04.014 Slevitch, L. (2011). Qualitative and quantitative methodologies compared: Ontological and epistemological perspectives. Journal of Quality Assurance
All organizations and businesses exist to meet some specified goals with some predetermined strategies and resources. A basic measure of effectiveness in an organization is evaluating how much an organization is able to achieve, and comparing it with the expected achievements to make sure that goals tarry with results. If the real performance deviates from the set expectations, measures to cater for that are taken. Delivering goals or results within the time periods and financial costs is a key component
inside information. Therefore, none can take advantage on the market in forecasting prices because there would be no additional data that would provide any advantage to the investors. Stock Market Predictability Stock market prediction is the method of predicting the price of a company’s stock. It is believed that stock price is lead by random walk hypothesis. Random walk hypothesis states that stock market price matures randomly and hence can’t be predicted. Pesaran (2003) states that it is
capital at Tula in the Mesa Central. They also built the city of Teotihuacan near present-day Mexico City. At about the same time, the Zapotecs controlled the Oaxaca Valley and parts of the Southern Highlands. The cities they built at Mitla and Monte Alban remain, though they were taken over by the Mixtecs prior to the arrival of the Spanish. When the Spanish arrived in central Mexico, the Aztecs controlled most of the Mesa Central through a state tribute system that extracted taxes and political