03215nam 2200709z- 450 991055710230332120240430192659.0(CKB)5400000000041024(oapen)https://directory.doabooks.org/handle/20.500.12854/69446(EXLCZ)99540000000004102420202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBayesian EconometricsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (146 p.)3-03943-785-2 3-03943-786-0 Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties, in a unified and coherent framework. This book contributes to this literature by collecting a set of carefully evaluated contributions that are grouped amongst two topics in financial economics. The first three papers refer to macro-finance issues for real economy, including the elasticity of factor substitution (ES) in the Cobb–Douglas production function, the effects of government public spending components, and quantitative easing, monetary policy and economics. The last three contributions focus on cryptocurrency and stock market predictability. All arguments are central ingredients in the current economic discussion and their importance has only been further emphasized by the COVID-19 crisis.Technology: general issuesbicsscunconventional monetary policytransmission channelBayesian TVP-SV-VARBayesian econometricsportfolio choicesentimentsstock market predictabilitycryptocurrencyBitcoinforecastingpoint forecastdensity forecastdynamic model averagingdynamic model selectionforgetting factorsmilitary and civilian spendingDSGE modelfiscal policymonetary policyBayesian estimationBayesian VARdensity forecastingtime-varying volatilityESCES functionBayesian nonlinear mixed-effects regressionMCMC methodsmacroeconomic and financial applicationsTechnology: general issuesBernardi Mauroedt609580Grassi StefanoedtRavazzolo FrancescoedtBernardi MauroothGrassi StefanoothRavazzolo FrancescoothBOOK9910557102303321Bayesian Econometrics3035509UNINA