Essays about: "Studies on financial performance analysis"

Showing result 21 - 25 of 129 essays containing the words Studies on financial performance analysis.

1. 21. Comparative Analysis of Energy-Based and Revenue-Based Availability Metrics of Wind Turbines

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : El Mehdi Ouchlou; [2022]
   Keywords : KPI; time-based availability; energy-based availability; revenue-based availability; wind turbine availability;

   Abstract : Different key performance indicators are used to assess various aspects of a wind turbine (performance, reliability, financial aspects…). Availability metrics mainly, time-based and energy-based availability are the main indicators used to monitor and evaluate turbine’s availability performance today. READ MORE

3. 22. Forecasting gold returns using principal component analysis from a large number of predictors

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Fredrik Allgén; [2022]
   Keywords : Forecasting; Gold; Principal Component Analysis; ARMA; Business and Economics;

   Abstract : Gold is known in the financial world to be an important asset in unstable periods, especially as a hedge against inflation. If the gold price can be forecasted, it will be possible to strategically invest in gold rather than acquire it as a last-minute hedge against economic downturns. READ MORE

4. 23. Drivers of Engagement in Standardization and Relationship to Company Performance

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Alberto Gonzalez Escudero; Anton Khaplanov; [2022]
   Keywords : Standardization; company performance; voluntary consensus standards; participation in standardization; standardization participation intensity;

   Abstract : Background:Engagement in technical standardization – both through following standards, as well as through participation in the creation of new standards – is an important part of the business strategy of a technology company. Companies face decisions on whether to participate, and if so, how, where and to what extent. READ MORE

5. 24. Competitive Strategies of Digital Platforms in New Markets : An analysis of the strategies and firm financial performanceof digital platforms entering competitive markets in theNordics

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : David Fouhy; Alfredo Pais; [2022]
   Keywords : PaaS; platform as a service; digital platforms; competitive strategies; return on assets; ROA; panel data; longitudinal data; panel data regression model; fixed effects; OLS model; firm performance; subsidy; seed and marquee users; piggybacking; micro market; profitability; quick ratio; debt ratio; working capital turnover ratio; sales growth;

   Abstract : Over the recent decade the world has seen an increase in businesses launching new, or changing theirbusiness model to, digital platforms. New and established businesses are flocking to digital platformsin order to evolve their business model and keep up with advancements in technology, such as cloudcomputing, which enables commerce and communication on a much faster and more streamlinedlevel. READ MORE

6. 25. Anticipating bankruptcies among companies with abnormal credit risk behaviour : Acase study adopting a GBDT model for small Swedish companies

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Heinke; [2022]
   Keywords : Bankruptcy prediction; Credit risk analysis; Abnormal credit risk behaviour; Gradient boosted decision trees; SHAP-values.; Konkurs förutsägelse; Kredit riskanalys; Abnomralt kreditbeteende; Gradient baserat beslutsträd; SHAP-värden.;

   Abstract : The field of bankruptcy prediction has experienced a notable increase of interest in recent years. Machine Learning (ML) models have been an essential component of developing more sophisticated models. Previous studies within bankruptcy prediction have not evaluated how well ML techniques adopt for data sets of companies with higher credit risks. READ MORE