Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including�multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration,�financial market jumps and co-jumps, among other topics.
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Table of Contents
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 UllahPart II: Macro Econometrics 4. Mixed data sampling (MIDAS) regression models Eric Ghysels, Virmantas Kvedaras and Vaidotas Zemlys-Balevicius 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
