LEADER 02445nam 2200625z- 450 001 9910367753203321 005 20231214133503.0 010 $a3-03921-627-9 035 $a(CKB)4100000010106185 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47666 035 $a(EXLCZ)994100000010106185 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFinancial Econometrics 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (136 p.) 311 $a3-03921-626-0 330 $aFinancial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme. 610 $atuning parameter choice 610 $aMarkov process 610 $amodel averaging 610 $asteady state distributions 610 $arealized volatility 610 $athreshold 610 $arisk prices 610 $athreshold auto-regression 610 $abond risk premia 610 $alinear programming estimator 610 $avolatility forecasting 610 $aBayesian inference 610 $aasset price bubbles 610 $astationarity 610 $adeviance information criterion 610 $amodel selection 610 $aprobability integral transform 610 $aforecast comparisons 610 $aMarkov-Chain Monte Carlo 610 $aexplosive regimes 610 $amultivariate nonlinear time series 610 $aTukey's power transformation 610 $aaffine term structure models 610 $aMallows criterion 610 $anonlinear nonnegative autoregression 610 $aTVAR models 610 $astochastic conditional duration 610 $ashrinkage 700 $aTse$b Yiu-Kuen$4auth$0614560 906 $aBOOK 912 $a9910367753203321 996 $aFinancial Econometrics$93037384 997 $aUNINA