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John Lee
Financial Econometrics, Mathematics and Statistics
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3013886Financial Econometrics, Mathematics and Statisticshttps://www.gandhi.com.mx/financial-econometrics-mathematics-and-statistics-9781493994298/phttps://gandhi.vtexassets.com/arquivos/ids/2270188/1ed5b4e1-db58-4583-97f7-03080f21a997.jpg?v=63838374423527000036574063MXNSpringer New YorkInStock/Ebooks/<p>This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. <em>Financial Econometrics, Mathematics, and Statistics</em>introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research.</p><p>Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments.</p><p>Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.</p>...2950483Financial Econometrics, Mathematics and Statistics36574063https://www.gandhi.com.mx/financial-econometrics-mathematics-and-statistics-9781493994298/phttps://gandhi.vtexassets.com/arquivos/ids/2270188/1ed5b4e1-db58-4583-97f7-03080f21a997.jpg?v=638383744235270000InStockMXN99999DIEbook20199781493994298_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_<p>This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. <em>Financial Econometrics, Mathematics, and Statistics</em>introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research.</p><p>Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments.</p><p>Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.</p>(*_*)9781493994298_<p>This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. <em>Financial Econometrics, Mathematics, and Statistics</em>introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research.</p><p>Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments.</p><p>Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.</p>...9781493994298_Springer New Yorklibro_electonico_a2e88d2a-2474-3545-ba8f-75b34aaa6303_9781493994298;9781493994298_9781493994298John LeeInglésMéxico2019-06-03T00:00:00+00:00Springer New York