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Full-Text Articles in Business
A Regression Model To Predict Stock Market Mega Movements And/Or Volatility Using Both Macroeconomic Indicators & Fed Bank Variables, Timothy A. Smith, Alcuin Rajan
A Regression Model To Predict Stock Market Mega Movements And/Or Volatility Using Both Macroeconomic Indicators & Fed Bank Variables, Timothy A. Smith, Alcuin Rajan
Publications
In finance, regression models or time series moving averages can be used to determine the value of an asset based on its underlying traits. In prior work we built a regression model to predict the value of the S&P 500 based on macroeconomic indicators such as gross domestic product, money supply, produce price and consumer price indices. In this present work this model is updated both with more data and an adjustment in the input variables to improve the coefficient of determination. A scheme is also laid out to alternately define volatility rather than using common tools such as the …
Key Findings: 2017 Atrs Global Airport Performance Benchmarking, Chunyan Yu
Key Findings: 2017 Atrs Global Airport Performance Benchmarking, Chunyan Yu
Publications
The ATRS Global Airport Benchmarking Project measures and compares the performance of several important aspects of airport operations: Productivity and efficiency, unit costs and cost competitiveness, financial results and airport charges. The report also examines the relationships between various performance measures and airport characteristics as well as management strategies in order to provide a better understanding of observed differences in airport performance. This report includes 206 airports and 24 airport groups of various sizes and ownership forms in Asia Pacific, Europe and North America. This presentation highlights key findings on efficiency and cost.