Financial, Macro and Micro Econometrics Using R: Handbook of Statistics, cartea 42
Hrishikesh D. Vinod, C. R. Raoen Limba Engleză Hardback – 20 ian 2020
- Presents chapters authored by distinguished, honored researchers who have received awards from the Journal of Econometrics or the Econometric Society
- Includes descriptions and links to resources and free open source R
- Gives readers what they need to jumpstart their understanding on the state-of-the-art
Din seria Handbook of Statistics
- Preț: 321.08 lei
- 27% Preț: 1179.01 lei
- 5% Preț: 1521.52 lei
- 9% Preț: 775.06 lei
- 27% Preț: 1182.25 lei
- 27% Preț: 1416.46 lei
- 27% Preț: 1380.82 lei
- 24% Preț: 1311.85 lei
- 27% Preț: 1341.23 lei
- 23% Preț: 1018.41 lei
- 9% Preț: 1007.69 lei
- 9% Preț: 1063.76 lei
- 9% Preț: 1069.37 lei
- 9% Preț: 1068.17 lei
- 32% Preț: 1078.91 lei
- 32% Preț: 1075.25 lei
- 32% Preț: 1163.52 lei
- 32% Preț: 1165.93 lei
- 38% Preț: 909.41 lei
- 32% Preț: 1158.32 lei
- 32% Preț: 1162.46 lei
- 28% Preț: 1158.75 lei
- 28% Preț: 1156.16 lei
- 28% Preț: 1162.19 lei
- 28% Preț: 1158.07 lei
- 28% Preț: 1156.76 lei
- 28% Preț: 1155.30 lei
- 27% Preț: 1081.61 lei
- 28% Preț: 1159.90 lei
- 28% Preț: 1163.14 lei
- 27% Preț: 1287.70 lei
- 5% Preț: 1333.96 lei
- 9% Preț: 899.83 lei
- 14% Preț: 1380.20 lei
- 28% Preț: 1161.91 lei
Preț: 1158.75 lei
Preț vechi: 1895.79 lei
-39% Nou
Puncte Express: 1738
Preț estimativ în valută:
221.73€ • 232.09$ • 184.55£
221.73€ • 232.09$ • 184.55£
Carte tipărită la comandă
Livrare economică 24 martie-07 aprilie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780128202500
ISBN-10: 0128202505
Pagini: 349
Dimensiuni: 152 x 229 mm
Greutate: 0.64 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
ISBN-10: 0128202505
Pagini: 349
Dimensiuni: 152 x 229 mm
Greutate: 0.64 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
Public țintă
The scope of the handbook covers many topics of practical interest to quantitative scientists, especially in Economics and Finance. The audience is not only students, teachers and researchers in various industries and sciences, but also profit and non-profit business decision makers and government policy makers.Cuprins
Part I: Finance
1. Financial econometrics and big data: A survey of volatility estimators and tests for the presence of jumps and co-jumps
Arpita Mukherjee, Weijia Peng, Norman R. Swanson and Xiye Yang
2. Real time monitoring of asset markets: Bubbles and crises
Peter C.B. Phillips and Shuping Shi
3. Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction
Jianghao Chu, Tae-Hwy Lee and Aman Ullah
Part II: Macro Econometrics
4. Mixed data sampling (MIDAS) regression models
Eric Ghysels, Virmantas Kvedaras and Vaidotas Zemlys-Balevičius
5. Encouraging private corporate investment in India
Hrishikesh Vinod, Honey Karun and Lekha S. Chakraborty
6. High-mixed frequency forecasting methods in R—With applications to Philippine GDP and inflation
Roberto S. Mariano and Suleyman Ozmucur
7. Nonlinear time series in R: Threshold cointegration with tsDyn
Matthieu Stigler
Part III: Micro Econometrics
8. Econometric analysis of productivity: Theory and implementation in R
Robin C. Sickles, Wonho Song and Valentin Zelenyuk
9. Stochastic frontier models using R
Giancarlo Ferrara
1. Financial econometrics and big data: A survey of volatility estimators and tests for the presence of jumps and co-jumps
Arpita Mukherjee, Weijia Peng, Norman R. Swanson and Xiye Yang
2. Real time monitoring of asset markets: Bubbles and crises
Peter C.B. Phillips and Shuping Shi
3. Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction
Jianghao Chu, Tae-Hwy Lee and Aman Ullah
Part II: Macro Econometrics
4. Mixed data sampling (MIDAS) regression models
Eric Ghysels, Virmantas Kvedaras and Vaidotas Zemlys-Balevičius
5. Encouraging private corporate investment in India
Hrishikesh Vinod, Honey Karun and Lekha S. Chakraborty
6. High-mixed frequency forecasting methods in R—With applications to Philippine GDP and inflation
Roberto S. Mariano and Suleyman Ozmucur
7. Nonlinear time series in R: Threshold cointegration with tsDyn
Matthieu Stigler
Part III: Micro Econometrics
8. Econometric analysis of productivity: Theory and implementation in R
Robin C. Sickles, Wonho Song and Valentin Zelenyuk
9. Stochastic frontier models using R
Giancarlo Ferrara