Quantitative Methods in Finance using R
portes grátis
Quantitative Methods in Finance using R
Burke, Matthew; Fry, John
Open University Press
07/2022
208
Mole
Inglês
9780335251261
15 a 20 dias
390
Descrição não disponível.
Chapter 1. Introduction
Chapter 2. Summary statistics and elementary data presentation
Chapter 3. Basic hypothesis tests
Chapter 4. An introduction to regression
Chapter 5. The extra sum of squares principle and regression modelling assumptions
Chapter 6. Violations of regression modelling assumptions - autocorrelation
Chapter 7. Violations of regression modelling assumptions - multicollinearity
Chapter 8. Dummy variable regression models
Chapter 9. Qualitative response regression models
Chapter 10. Linear mixed and generalised linear mixed models
Chapter 11. Non-financial time series models
Chapter 12. Modelling financial price data
Chapter 13. ARCH/GARCH models
Chapter 2. Summary statistics and elementary data presentation
Chapter 3. Basic hypothesis tests
Chapter 4. An introduction to regression
Chapter 5. The extra sum of squares principle and regression modelling assumptions
Chapter 6. Violations of regression modelling assumptions - autocorrelation
Chapter 7. Violations of regression modelling assumptions - multicollinearity
Chapter 8. Dummy variable regression models
Chapter 9. Qualitative response regression models
Chapter 10. Linear mixed and generalised linear mixed models
Chapter 11. Non-financial time series models
Chapter 12. Modelling financial price data
Chapter 13. ARCH/GARCH models
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
quantitative methods, financial time series, inferential statistics, statistical software, R, regression, financial modelling, ARCH model, GARCH model, computational finance
Chapter 1. Introduction
Chapter 2. Summary statistics and elementary data presentation
Chapter 3. Basic hypothesis tests
Chapter 4. An introduction to regression
Chapter 5. The extra sum of squares principle and regression modelling assumptions
Chapter 6. Violations of regression modelling assumptions - autocorrelation
Chapter 7. Violations of regression modelling assumptions - multicollinearity
Chapter 8. Dummy variable regression models
Chapter 9. Qualitative response regression models
Chapter 10. Linear mixed and generalised linear mixed models
Chapter 11. Non-financial time series models
Chapter 12. Modelling financial price data
Chapter 13. ARCH/GARCH models
Chapter 2. Summary statistics and elementary data presentation
Chapter 3. Basic hypothesis tests
Chapter 4. An introduction to regression
Chapter 5. The extra sum of squares principle and regression modelling assumptions
Chapter 6. Violations of regression modelling assumptions - autocorrelation
Chapter 7. Violations of regression modelling assumptions - multicollinearity
Chapter 8. Dummy variable regression models
Chapter 9. Qualitative response regression models
Chapter 10. Linear mixed and generalised linear mixed models
Chapter 11. Non-financial time series models
Chapter 12. Modelling financial price data
Chapter 13. ARCH/GARCH models
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
