Efficient market theory Essay Example | Topics and Well Written Essays - 250 words

Efficient market theory - Essay Example This information may make them perceive that a stock may rise or its price may decline and they may take decisions accordingly. Efficient market theory is of the idea that individuals within the market have similar information and rejects the idea that different individuals may have different information. This even means that the investor that first receives the information will benefit more than those who have received the information later. For example: some investors of the stock market receives information that the sales of Procter & Gamble have increased by 100% as compared to the figures of last year. As a result of this the trader may end up purchasing the stock. If the trader had received this information later as compared to other traders, then the trader may not have purchased the stock at the right price since other traders may have already purchased the stock and the stock prices may have

Analysis of Quantitative Research Study Article

Analysis of Quantitative Research Study - Article Example The fall incidence rates were 1.5% (95% CI: 0.9–2.6) and 0.4% (95% CI: 0.2–1.1) in the control and intervention groups, respectively. The relative risk estimate of 0.29 (95% CI: 0.1–0.87) favours the intervention group. In conclusion the study showed that targeted multiple interventions were effective in reducing the incidences of falls in patients in the acute care setting. A randomized prospective design was implemented at one acute care hospital in Singapore between April 2005 and December 2006. They compared the effectiveness of two interventions (targeted multiple interventions with usual care versus usual care only) on patients identified as high-risk for falls over 8 months. Newly admitted patients from medical, surgical, oncology, orthopedic and gynaecology wards participated. Inclusion criteria were age of 18 years or older, and agreement to participate in the study. Patients were excluded if they were in the study wards before the start of the study, or if they had fallen before the fall-risk assessment was carried out. The study used a falls assessment tool to identify patients at risk for falls. Those who had scores of 5 and above using the Hendrich II Fall Risk Model were recruited into the study. The Hendrich II Fall Risk Model used in this study had been validated on 5489 patients in this setting (Ang et al. 2007). The study showed that the Hendrich II Fall Risk Model showed the best balance of sensitivity (70%, 95% CI: 57.5–80.1) and specificity (61.5%, 95% CI: 60.2–62.8). The accuracy of the Hendrich II Fall Risk Model at the published cut-off point, measured using Area under the Curve (AUC), was 73%. The researchers used incidence of falls as a measurement of the outcome in this study. Patients’ occurrence falls information was retrieved from the entries made by the ward nurses into the hospital eHOR system. On top of these, it is the research nurses that screened and enrolled the patient into the study. The ward