"A simple framework is proposed based on variance decompositions from approximating vector autoregressions to define, measure and monitor network connectedness, and these methods are applied in financial and macroeconomic contexts. In financial markets, for example, the interest…
A simple framework is proposed based on variance decompositions from approximating vector autoregressions to define, measure and monitor network connectedness, and these methods are applied in financial and macroeconomic contexts. In financial markets, for example, the interest …
A simple framework is proposed based on variance decompositions from approximating vector autoregressions to define, measure and monitor network connectedness, and these methods are applied in financial and macroeconomic contexts. In financial markets, for example, the interest …
Présentation de l'éditeur : "Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financia…
"The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table…
A simple framework is proposed based on variance decompositions from approximating vector autoregressions to define, measure and monitor network connectedness, and these methods are applied in financial and macroeconomic contexts. In financial markets, for example, the interest …
Este libro tiene como objetivo principal ser referencia y material de apoyo útil tanto para estudiantes como para particulares y profesionales de empresa que trabajan en el área financiera. El texto se inicia con el estudio del entorno de Microsoft Excel para trabajar con modelo…
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illus…
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illus…
Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data…
Provides a framework for the analysis, modelling, and inference of high-frequency financial time series. Emphasizing foreign exchange markets, currency, interest rate and bond futures markets, it investigates price formation processes and reviews systematic trading models for fi…
